79 datasets found
  1. a

    Python for ArcGIS - Working with ArcGIS Notebooks

    • edu.hub.arcgis.com
    Updated Oct 8, 2024
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    Education and Research (2024). Python for ArcGIS - Working with ArcGIS Notebooks [Dataset]. https://edu.hub.arcgis.com/documents/16fbaf21dc7b41c187ebcfd9f6ea1d58
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    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    Education and Research
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

  2. G

    Esri ArcGIS Mission for Defense Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Esri ArcGIS Mission for Defense Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/esri-arcgis-mission-for-defense-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Esri ArcGIS Mission for Defense Market Outlook




    According to our latest research, the global Esri ArcGIS Mission for Defense market size in 2024 stands at USD 2.14 billion, with a robust CAGR of 10.2% projected through the forecast period. By 2033, the market is expected to reach USD 5.1 billion as per our CAGR calculations. This growth is primarily driven by the escalating demand for advanced geospatial intelligence and real-time situational awareness solutions in defense and security operations worldwide. The increasing complexity of modern warfare, coupled with the integration of digital transformation strategies within defense sectors, is fueling significant investments in cutting-edge mission management platforms such as Esri ArcGIS Mission. As per our latest research, the market’s upward trajectory is further supported by the growing emphasis on interoperability, data-driven decision-making, and the need for seamless collaboration among defense forces and allied agencies.




    A key growth factor for the Esri ArcGIS Mission for Defense market is the rapid evolution of modern warfare tactics and the proliferation of asymmetric threats. Defense agencies are increasingly prioritizing real-time geospatial intelligence and mission planning capabilities to respond effectively to dynamic and unpredictable operational environments. The integration of Esri ArcGIS Mission enables defense forces to visualize, analyze, and share mission-critical data, thereby enhancing situational awareness and operational agility. Furthermore, the adoption of artificial intelligence and machine learning within geospatial platforms is empowering defense organizations to automate threat detection, optimize resource allocation, and streamline mission execution, thereby driving the adoption of advanced GIS solutions at a global scale.




    Another significant driver is the expanding role of multi-domain operations (MDO) and the need for cross-agency collaboration in defense missions. The Esri ArcGIS Mission platform is uniquely positioned to facilitate real-time collaboration among diverse defense units, including the army, navy, air force, and homeland security agencies. By providing a unified operational picture, the platform enhances inter-agency coordination and supports joint mission planning, execution, and debriefing. The increasing frequency of multinational exercises and coalition operations further underscores the importance of interoperable mission management solutions that can seamlessly integrate data from disparate sources and deliver actionable intelligence to commanders in the field.




    The ongoing digital transformation initiatives within defense ministries and intelligence agencies are also propelling market expansion. Governments worldwide are investing heavily in upgrading their command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) infrastructure, with a focus on leveraging geospatial analytics for strategic advantage. Esri ArcGIS Mission’s ability to ingest, process, and visualize vast volumes of geospatial data in real time is proving indispensable for defense agencies seeking to enhance operational efficiency, reduce response times, and mitigate risks. Additionally, the growing adoption of cloud-based deployment models is enabling defense organizations to scale their mission management capabilities rapidly, improve data accessibility, and ensure business continuity during critical operations.




    Regionally, North America continues to dominate the Esri ArcGIS Mission for Defense market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, is a major contributor to market growth, driven by substantial defense budgets, advanced technological infrastructure, and the presence of leading GIS solution providers. Europe is witnessing steady adoption of mission management platforms, supported by collaborative defense initiatives and modernization programs across NATO member states. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rising geopolitical tensions, increased defense spending, and a growing focus on indigenous technology development in countries such as China, India, and Japan.



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  3. D

    Esri ArcGIS Mission For Defense Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Esri ArcGIS Mission For Defense Market Research Report 2033 [Dataset]. https://dataintelo.com/report/esri-arcgis-mission-for-defense-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Esri ArcGIS Mission for Defense Market Outlook



    According to our latest research, the global Esri ArcGIS Mission for Defense market size in 2024 stands at USD 2.85 billion, with a robust compound annual growth rate (CAGR) of 13.2% projected through the forecast period. By 2033, the market is expected to reach USD 8.14 billion, driven by escalating geopolitical tensions, the increasing adoption of real-time geospatial intelligence, and the need for advanced situational awareness in defense operations. The market’s upward trajectory is underpinned by the rapid digital transformation within the defense sector, where mission-critical decisions increasingly rely on accurate, real-time geospatial data and collaborative tools.




    The primary growth driver for the Esri ArcGIS Mission for Defense market is the surging demand for integrated situational awareness solutions. Defense organizations worldwide are investing heavily in technologies that enable real-time data collection, analysis, and dissemination across multiple domains. The ability to visualize, analyze, and share geospatial data in mission-critical environments is transforming how military operations are planned and executed. As asymmetric warfare and hybrid threats become more prevalent, defense agencies are compelled to leverage advanced GIS platforms like Esri ArcGIS Mission to enhance operational effectiveness, reduce response times, and improve mission outcomes. This trend is further amplified by the integration of AI and machine learning, which enables predictive analytics and automated threat detection within the ArcGIS ecosystem.




    Another significant factor fueling market growth is the increasing emphasis on interoperability and collaboration across defense forces. Modern military operations often require seamless coordination among diverse units and allied forces, making unified geospatial platforms indispensable. Esri ArcGIS Mission facilitates real-time collaboration, enabling distributed teams to access, update, and act upon shared geospatial intelligence. This capability not only supports joint operations but also enhances the agility and adaptability of defense organizations in rapidly evolving scenarios. As defense budgets prioritize digital modernization, investments in robust geospatial solutions are expected to accelerate, further propelling the market forward.




    The growing prevalence of cloud-based deployments is also a critical catalyst for market expansion. Cloud platforms offer unparalleled scalability, flexibility, and cost-efficiency, making them ideal for defense agencies seeking to modernize their IT infrastructure without incurring prohibitive capital expenditures. Esri’s cloud-enabled ArcGIS Mission allows for secure, centralized data management and on-demand access to geospatial intelligence, even in remote or contested environments. As more defense organizations transition to cloud-first strategies, the demand for cloud-native GIS solutions is poised to surge, unlocking new growth opportunities for the market.




    From a regional perspective, North America dominates the Esri ArcGIS Mission for Defense market, accounting for over 38% of global revenue in 2024. The region’s leadership is attributed to substantial defense budgets, early technology adoption, and the presence of key market players such as Esri Inc. Europe and Asia Pacific are also witnessing rapid growth, fueled by rising security concerns, increased defense spending, and government initiatives to modernize military capabilities. The Middle East & Africa and Latin America, while smaller in market share, are expected to demonstrate above-average growth rates, driven by ongoing security challenges and the need for advanced situational awareness tools.



    Component Analysis



    The Component segment of the Esri ArcGIS Mission for Defense market is bifurcated into Software and Services. Software represents the core of the market, encompassing a suite of GIS applications, mission management tools, and real-time analytics platforms. The demand for advanced software solutions is propelled by the need for intuitive user interfaces, robust data visualization, and seamless integration with existing defense IT infrastructure. Esri’s software offerings are renowned for their scalability and ability to support complex mission planning, situational awareness, and geospatial intelligence tasks. As defense a

  4. R

    Esri ArcGIS Mission for Defense Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Esri ArcGIS Mission for Defense Market Research Report 2033 [Dataset]. https://researchintelo.com/report/esri-arcgis-mission-for-defense-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Esri ArcGIS Mission for Defense Market Outlook



    According to our latest research, the Global Esri ArcGIS Mission for Defense market size was valued at $1.42 billion in 2024 and is projected to reach $3.96 billion by 2033, expanding at a robust CAGR of 12.1% during the forecast period of 2025–2033. The primary driver behind this impressive growth trajectory is the increasing need for advanced geospatial intelligence and real-time situational awareness within defense operations worldwide. As modern military engagements become more complex and technology-driven, defense agencies are prioritizing integrated GIS solutions like Esri ArcGIS Mission to enhance mission planning, execution, and collaboration across armed forces and homeland security sectors.



    Regional Outlook



    North America commands the largest share of the global Esri ArcGIS Mission for Defense market, accounting for over 38% of the total market value in 2024. This dominance stems from the region’s mature defense technology ecosystem, substantial government investments in military modernization, and the early adoption of advanced GIS platforms by the United States Department of Defense. The presence of leading technology vendors, robust research and development infrastructure, and favorable policy frameworks further accelerate the deployment of Esri ArcGIS Mission solutions across the US and Canada. Additionally, ongoing initiatives to enhance interoperability and real-time data sharing among allied forces continue to reinforce North America’s leadership in the market.



    The Asia Pacific region is poised to be the fastest-growing market, projected to register a remarkable CAGR of 15.4% from 2025 to 2033. This rapid growth is fueled by escalating defense budgets, rising geopolitical tensions, and the increasing adoption of digital transformation strategies by militaries in countries such as China, India, South Korea, and Japan. Governments across Asia Pacific are investing heavily in upgrading their command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) capabilities, thereby driving demand for sophisticated GIS-based mission management tools. Furthermore, local partnerships, technology transfer initiatives, and the expansion of regional defense manufacturing hubs are catalyzing the uptake of Esri ArcGIS Mission solutions in this part of the world.



    Emerging economies in Latin America, the Middle East, and Africa are experiencing a gradual yet steady rise in the adoption of Esri ArcGIS Mission for Defense. However, these regions face unique challenges such as limited defense budgets, complex procurement processes, and a shortage of skilled GIS professionals. Despite these obstacles, localized demand is growing due to increased focus on border security, counter-terrorism operations, and disaster response management. Policy reforms, international defense collaborations, and targeted capacity-building programs are expected to gradually improve market penetration, though adoption rates are likely to remain moderate compared to North America and Asia Pacific over the forecast period.



    Report Scope







    Attributes Details
    Report Title Esri ArcGIS Mission for Defense Market Research Report 2033
    By Component Software, Services
    By Deployment Mode On-Premises, Cloud
    By Application Situational Awareness, Mission Planning, Real-Time Collaboration, Geospatial Intelligence, Others
    By End-User Army, Navy, Air Force, Homeland Security, Intelligence Agencies, Others
    Regions Covered North America, Europe, Asia Pacific, Latin America and Middle East & Africa
    Countries Covered Nor

  5. Data from: Getting Started with ArcGIS Pro

    • teach-with-gis-uk-esriukeducation.hub.arcgis.com
    • lecturewithgis.co.uk
    Updated Oct 20, 2022
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    Esri UK Education (2022). Getting Started with ArcGIS Pro [Dataset]. https://teach-with-gis-uk-esriukeducation.hub.arcgis.com/datasets/getting-started-with-arcgis-pro
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    Dataset updated
    Oct 20, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    As you might have already heard, after 20+ years of serving the GIS community ArcMap is finally retiring.The desktop role of the ArcGIS system is being replaced by ArcGIS Pro, which is more integrated with other ArcGIS solutions like ArcGIS Online, The Living Atlas, fieldwork and web applications.

  6. The Ocean and Coast Information System: Integrate

    • ocean-and-coasts-information-system-esrioceans.hub.arcgis.com
    Updated Oct 19, 2024
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    Esri Ocean and Coastal Environments (2024). The Ocean and Coast Information System: Integrate [Dataset]. https://ocean-and-coasts-information-system-esrioceans.hub.arcgis.com/datasets/the-ocean-and-coast-information-system-integrate
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Ocean and Coastal Environments
    Description

    The goal of OCIS is to support improved access and integration of ocean data into marine spatial planning for a blue economy. To further this goal, OCIS is not just a data portal, it's a community portal, providing not just the data but the tools and documentation for new and creative ways to integrate ocean data into your mapping projects. Each theme page has examples of maps that can be built with OCIS data out of the box or by analyzing it in context with other data resources (e.g., your data). There is a Workflows page that documents step-by-step how to use or analyze OCIS resources in ArcGIS technology. Similar workflows can be replicated in other spatial analysis and mapping softwares. Some key examples include:

  7. d

    California State Waters Map Series--Offshore of Point Conception Web...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). California State Waters Map Series--Offshore of Point Conception Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-point-conception-web-services
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

  8. New AEC Industry Report On GIS and BIM Integration

    • aec-esri-chile-esrichile.hub.arcgis.com
    Updated Aug 24, 2022
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    Esri Chile SpA (2022). New AEC Industry Report On GIS and BIM Integration [Dataset]. https://aec-esri-chile-esrichile.hub.arcgis.com/documents/423cf324f78c474fb57bac740dbaea66
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Chile SpA
    Description

    Reporte llamado "New AEC Industry Report On GIS and BIM Integration" publicado por Informed Infrastructure.Fuente: GIS Solutions: New AEC Industry Report on GIS and BIM Integration | Informed Infrastructure

  9. I

    Italy Geospatial Analytics Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 31, 2025
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    Data Insights Market (2025). Italy Geospatial Analytics Market Report [Dataset]. https://www.datainsightsmarket.com/reports/italy-geospatial-analytics-market-12484
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Italy
    Variables measured
    Market Size
    Description

    The size of the Italy Geospatial Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 8.17% during the forecast period. Recent developments include: March 2023: The Italian space agency and NASA have collaborated to build and launch the Multi-Angle Imager for Aerosols mission, an effort to investigate the health impacts of tiny airborne particles polluting the cities through analyzing data by collecting data from the satellite-based observatories, which would fuel the demand for geospatial analytics market in the country., January 2023: EDB, an open-source database service provider in Italy, announced its partnership with Esri to certify EDB Postgres Advanced Server with Esri ArcGIS Pro and Esri ArcGIS Enterprise, which work together to form Esri's Geospatial analytic solutions, operating in many countries, including Italy. After this partnership, users can connect their EDB Postgres Advanced Server to explore, visualize and analyze their geospatial data and share their work with an Esri ArcGIS Enterprise portal. In addition, EDB customers, especially those in the public sector, can use their database with Esri ArcGIS software to transform their data into something that improves workflows and processes and shapes policies and engagement within their communities.. Key drivers for this market are: Increase in the number of Smart Cities in The Country, The Implementation of analytics Software in the Country's Public Transportation. Potential restraints include: High Costs and Operational Concerns, Lack of Standardization for Data Integration. Notable trends are: The Increase in the Number of Smart Cities in The Country Fuels the Market Growth.

  10. R

    Esri Site Scan for ArcGIS Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 2, 2025
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    Research Intelo (2025). Esri Site Scan for ArcGIS Market Research Report 2033 [Dataset]. https://researchintelo.com/report/esri-site-scan-for-arcgis-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Esri Site Scan for ArcGIS Market Outlook



    According to our latest research, the Global Esri Site Scan for ArcGIS market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.7% during the forecast period of 2025 to 2033. The major factor fueling this robust growth is the increasing adoption of drone-based geospatial solutions across industries such as construction, utilities, and environmental monitoring. Organizations are leveraging Esri Site Scan for ArcGIS to streamline data collection, enhance mapping accuracy, and enable real-time decision-making, which is driving market expansion globally. As digital transformation accelerates and the demand for high-resolution aerial imagery rises, Esri’s cloud-native platform is positioned as a critical tool for enterprises seeking to modernize asset management and operational workflows.



    Regional Outlook



    North America currently dominates the Esri Site Scan for ArcGIS market, accounting for nearly 42% of the global share in 2024. This leadership position is attributed to the region’s mature geospatial technology ecosystem, widespread adoption of advanced drone mapping solutions, and strong regulatory frameworks supporting UAV operations. The United States, in particular, has seen significant investments from both public and private sectors in aerial mapping, disaster response, and infrastructure monitoring. The presence of major Esri partners and a large base of enterprise users further cements North America’s position as the largest regional market. Additionally, robust R&D initiatives, favorable government policies, and the integration of AI-driven analytics into geospatial platforms have accelerated the adoption of Esri Site Scan for ArcGIS across government, utilities, and construction sectors.



    Asia Pacific is projected to be the fastest-growing region, with a forecasted CAGR of 20.4% from 2025 to 2033. The rapid pace of urbanization, massive infrastructure development projects, and increasing awareness about the benefits of drone-based geospatial solutions are driving adoption across China, India, Japan, and Southeast Asian countries. Governments in the region are investing heavily in smart city initiatives and disaster management systems, where Esri Site Scan for ArcGIS plays a crucial role in real-time data acquisition and analysis. Strategic partnerships between global geospatial technology providers and local enterprises, coupled with a surge in venture capital funding for drone startups, are further catalyzing market growth in Asia Pacific. The region’s young, tech-savvy workforce and supportive policy reforms are expected to sustain this momentum over the coming decade.



    Emerging economies in Latin America and the Middle East & Africa are witnessing gradual but steady adoption of Esri Site Scan for ArcGIS, though several challenges persist. Limited access to advanced UAV hardware, inconsistent regulatory frameworks, and lower levels of digital literacy can hinder widespread deployment. However, localized demand for solutions in agriculture, mining, and environmental monitoring is rising, driven by the need to optimize resource management and enhance disaster preparedness. Governments and NGOs are increasingly recognizing the value of geospatial intelligence for sustainable development, leading to pilot projects and public-private partnerships in these regions. Despite infrastructural and policy-related barriers, the long-term outlook remains positive as digital transformation efforts gain traction and international technology providers invest in capacity-building initiatives.



    Report Scope





    Attributes Details
    Report Title Esri Site Scan for ArcGIS Market Research Report 2033
    By Component Software, Services
    By Deployment Mode Cloud-Based, On-Premises
    By Application Aerial Mapping, Construction Monitoring, Asset Management,

  11. SafeGraph Places for ArcGIS (March 2020)

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +3more
    Updated Mar 27, 2020
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    Esri’s Disaster Response Program (2020). SafeGraph Places for ArcGIS (March 2020) [Dataset]. https://hub.arcgis.com/datasets/6c8c635b1ea94001a52bf28179d1e32b
    Explore at:
    Dataset updated
    Mar 27, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Area covered
    Description

    SafeGraph is just a data company. That's all we do.SafeGraph Places for ArcGIS is a subset of SafeGraph Places. SafeGraph Places is a points-of-interest (POI) dataset with business listing, building footprint, visitor insights, & foot-traffic data for every place people spend money in the U.S.The complete SafeGraph Places dataset has ~ 5.4 million points-of-interest in the USA and is updated monthly (to reflect store openings & closings).Here, for free on this listing, SafeGraph offers a subset of attributes from SafeGraph Places: POI business listing information and POI locations (building centroids).Columns in this dataset:safegraph_place_idparent_safegraph_place_idlocation_namesafegraph_brand_idsbrandstop_categorystreet_addresscitystatezip_codeNAICS codeGeometry Point data. Latitude and longitude of building centroid.For data definitions and complete documentation visit SafeGraph Developer and Data Scientist Docs.For statistics on the dataset, see SafeGraph Places Summary Statistics.Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.Want More? Want this POI data for use outside of ArcGIS Online? Want POI data for Canada? Want POI building footprints (Geometry)?Want more detailed category information (Core Places)?Want phone numbers or operating hours (Core Places)?Want POI visitor insights & foot-traffic data (Places Patterns)?To see more, preview & download all SafeGraph Places, Patterns, & Geometry data from SafeGraph’s Data Bar.Or drop us a line! Your data needs are our data delights. Contact: support-esri@safegraph.comView Terms of Use

  12. GeoStrat Jurassic Report (ArcGIS Version) - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Oct 9, 2017
    + more versions
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    ckan.publishing.service.gov.uk (2017). GeoStrat Jurassic Report (ArcGIS Version) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/geostrat-jurassic-report-arcgis-version
    Explore at:
    Dataset updated
    Oct 9, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Geostrat Report – The Sequence Stratigraphy and Sandstone Play Fairways of the Late Jurassic Humber Group of the UK Central Graben This non-exclusive report was purchased by the OGA from Geostrat as part of the Data Purchase tender process (TRN097012017) that was carried out during Q1 2017. The contents do not necessarily reflect the technical view of the OGA but the report is being published in the interests of making additional sources of data and interpretation available for use by the wider industry and academic communities. The Geostrat report provides stratigraphic analyses and interpretations of data from the Late Jurassic to Early Cretaceous Humber Group across the UK Central Graben and includes a series of depositional sequence maps for eight stratigraphic intervals. Stratigraphic interpretations and tops from 189 wells (up to Release 91) are also included in the report. The outputs as published here include a full PDF report, ODM/IC .dat format sequence maps, and all stratigraphic tops (lithostratigraphy, ages, sequence stratigraphy) in .csv format (for import into different interpretation platforms). In addition, the OGA has undertaken to provide the well tops, stratigraphic interpretations and sequence maps in an ESRI ArcGIS format that is intended to facilitate the integration of these data into projects and data storage systems held by individual organisations. As part of this process, the Geostrat well names have been matched as far as possible to the OGA well names from the OGA Offshore Wells shapefile (as provided on the OGA’s Open Data website) and the original polygon files have been incorporated into an ArcGIS project. All the files within the GIS folder of this delivery have been created by the OGA. OGA web feature services (WFSs) have been included in the map document in this delivery. They replace the use of a shapefile or feature class to represent block, licence and quadrant data. By using a WFS, the data is automatically updated when it becomes available via the OGA. A version of this delivery containing shapefiles for well tops, stratigraphic interpretations and sequence maps is available on the OGA’s Open Data website for use in other GIS software packages. All releases included in the Data Purchase tender process that have been made openly available are summarised in a mapping application available from the OGA website. The application includes an area of interest outline for each of the products and an overview of which wellbores have been included in the products.

  13. d

    California State Waters Map Series--Point Conception to Hueneme Canyon Web...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). California State Waters Map Series--Point Conception to Hueneme Canyon Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-point-conception-to-hueneme-canyon-web-services
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Conception to Hueneme Canyon map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Conception to Hueneme Canyon map area data layers. Data layers are symbolized as shown on the associated map sheets.

  14. GeoStrat Jurassic Report (ArcGIS Version) - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 13, 2025
    + more versions
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    ckan.publishing.service.gov.uk (2025). GeoStrat Jurassic Report (ArcGIS Version) - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/geostrat-jurassic-report-arcgis-version6
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Geostrat Report – The Sequence Stratigraphy and Sandstone Play Fairways of the Late Jurassic Humber Group of the UK Central Graben This non-exclusive report was purchased by the NSTA from Geostrat as part of the Data Purchase tender process (TRN097012017) that was carried out during Q1 2017. The contents do not necessarily reflect the technical view of the NSTA but the report is being published in the interests of making additional sources of data and interpretation available for use by the wider industry and academic communities. The Geostrat report provides stratigraphic analyses and interpretations of data from the Late Jurassic to Early Cretaceous Humber Group across the UK Central Graben and includes a series of depositional sequence maps for eight stratigraphic intervals. Stratigraphic interpretations and tops from 189 wells (up to Release 91) are also included in the report. The outputs as published here include a full PDF report, ODM/IC .dat format sequence maps, and all stratigraphic tops (lithostratigraphy, ages, sequence stratigraphy) in .csv format (for import into different interpretation platforms). In addition, the NSTA has undertaken to provide the well tops, stratigraphic interpretations and sequence maps in an ESRI ArcGIS format that is intended to facilitate the integration of these data into projects and data storage systems held by individual organisations. As part of this process, the Geostrat well names have been matched as far as possible to the NSTA well names from the NSTA Offshore Wells shapefile (as provided on the NSTA’s Open Data website) and the original polygon files have been incorporated into an ArcGIS project. All the files within the GIS folder of this delivery have been created by the NSTA. NSTA web feature services (WFSs) have been included in the map document in this delivery. They replace the use of a shapefile or feature class to represent block, licence and quadrant data. By using a WFS, the data is automatically updated when it becomes available via the NSTA. A version of this delivery containing shapefiles for well tops, stratigraphic interpretations and sequence maps is available on the NSTA’s Open Data website for use in other GIS software packages. All releases included in the Data Purchase tender process that have been made openly available are summarised in a mapping application available from the NSTA website. The application includes an area of interest outline for each of the products and an overview of which wellbores have been included in the products.

  15. Building your Crime Dashboard

    • lecturewithgis.co.uk
    • teach-with-gis-uk-esriukeducation.hub.arcgis.com
    Updated Jun 9, 2021
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    Esri UK Education (2021). Building your Crime Dashboard [Dataset]. https://lecturewithgis.co.uk/datasets/building-your-crime-dashboard
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    Dataset updated
    Jun 9, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    ArcGIS Dashboard allows users to present maps and data in an interactive, dynamic, and intuitive way. It is integrated within the ArcGIS system, so you are ready to use maps and data from your organisation's ArcGIS online or Enterprise.

  16. d

    California State Waters Map Series--Offshore of Ventura Web Services

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 8, 2025
    + more versions
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    U.S. Geological Survey (2025). California State Waters Map Series--Offshore of Ventura Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-ventura-web-services
    Explore at:
    Dataset updated
    Oct 8, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Ventura, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Ventura map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Ventura map area data layers. Data layers are symbolized as shown on the associated map sheets.

  17. G

    GIS Mapping Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 21, 2025
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    Data Insights Market (2025). GIS Mapping Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/gis-mapping-tools-533095
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.

  18. d

    California State Waters Map Series--Point Sur to Point Arguello Web Services...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 21, 2025
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    U.S. Geological Survey (2025). California State Waters Map Series--Point Sur to Point Arguello Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-point-sur-to-point-arguello-web-services
    Explore at:
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Arguello, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Sur to Point Arguello map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Sur to Point Arguello map area data layers. Data layers are symbolized as shown on the associated map sheets.

  19. d

    Data from: California State Waters Map Series--Santa Barbara Channel Web...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 27, 2025
    + more versions
    Share
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    U.S. Geological Survey (2025). California State Waters Map Series--Santa Barbara Channel Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-santa-barbara-channel-web-services
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Santa Barbara Channel, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Santa Barbara Channel map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Santa Barbara Channel map area data layers. Data layers are symbolized as shown on the associated map sheets.

  20. d

    Data from: California State Waters Map Series--Monterey Canyon and Vicinity...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 20, 2025
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    U.S. Geological Survey (2025). California State Waters Map Series--Monterey Canyon and Vicinity Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-monterey-canyon-and-vicinity-web-services
    Explore at:
    Dataset updated
    Nov 20, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Monterey County, Monterey Canyon, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Ventura map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery, seafloor-sediment and rock samples, digital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Monterey Canyon and Vicinity map area data layers. Data layers are symbolized as shown on the associated map sheets.

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Education and Research (2024). Python for ArcGIS - Working with ArcGIS Notebooks [Dataset]. https://edu.hub.arcgis.com/documents/16fbaf21dc7b41c187ebcfd9f6ea1d58

Python for ArcGIS - Working with ArcGIS Notebooks

Explore at:
Dataset updated
Oct 8, 2024
Dataset authored and provided by
Education and Research
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Description

This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This tutorial introduces you to using Python code in a Jupyter Notebook, an open source web application that enables you to create and share documents that contain rich text, equations and multimedia, alongside executable code and visualization of analysis outputs. The tutorial begins by stepping through the basics of setting up and being productive with Python notebooks. You will be introduced to ArcGIS Notebooks, which are Python Notebooks that are well-integrated within the ArcGIS platform. Finally, you will be guided through a series of ArcGIS Notebooks that illustrate how to create compelling notebooks for data science that integrate your own Python scripts using the ArcGIS API for Python and ArcPy in combination with thousands of open source Python libraries to enhance your analysis and visualization.To download the dataset Labs, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/arcgis-notebooks-tutorial.git.Software & Solutions Used: Required: This tutorial was last tested on August 27th, 2024, using ArcGIS Pro 3.3. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Recommended: ArcGIS Online subscription account with permissions to use advanced Notebooks and GeoEnrichmentOptional: Notebook Server for ArcGIS Enterprise 11.3+Time to Complete: 2 h (excludes processing time)File Size: 196 MBDate Created: January 2022Last Updated: August 27, 2024

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