100+ datasets found
  1. S

    How to Use GIS Open Data Portal

    • data.sanjoseca.gov
    html
    Updated Oct 6, 2020
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    Enterprise GIS (2020). How to Use GIS Open Data Portal [Dataset]. https://data.sanjoseca.gov/dataset/how-to-use-gis-open-data-portal
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

  2. a

    Add Data to Your Project

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 17, 2019
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    State of Delaware (2019). Add Data to Your Project [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/delaware::add-data-to-your-project
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    State of Delaware
    Description

    You can also add data from your ArcGIS Online or ArcGIS Enterprise portal, or another portal such as the Living Atlas of the World. In this tutorial, you'll add data from Living Atlas, from your project geodatabase, and from a folder connection.Estimated time: 30 minutesSoftware requirements: ArcGIS ProArcGIS Online or ArcGIS Enterprise portal connection

  3. a

    Creating an Offline Map in ArcGIS Pro

    • national-government-solution-playbook-tiger.hub.arcgis.com
    Updated Jan 28, 2020
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    Tiger Team (2020). Creating an Offline Map in ArcGIS Pro [Dataset]. https://national-government-solution-playbook-tiger.hub.arcgis.com/datasets/creating-an-offline-map-in-arcgis-pro
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    Dataset updated
    Jan 28, 2020
    Dataset authored and provided by
    Tiger Team
    Description

    This is a video demonstrating how to create an offline map in ArcGIS Pro. Steps:Start with creating a vector tile package (.vtpk) from vector data.Add the vector tile package on top of other relevant data in a basemap view. The other data can be a raster image or any of the Esri's default basemaps.Add the basemap into another map view. In this map, you can add other operational layers on top of the basemap.Create a mobile map package (.mmpk) from the multi-layered map.The mobile map package can then be shared through ArcGIS Enterprise portal or manually copied to mobile devices.Author: Irvan Salim - Solution Engineer from Esri IndonesiaCopyright © 2020 Esri Indonesia. All rights reserved.

  4. a

    Man Holes - Open Data

    • hub.arcgis.com
    • gisdata.tucsonaz.gov
    • +2more
    Updated Aug 18, 2018
    + more versions
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    City of Tucson (2018). Man Holes - Open Data [Dataset]. https://hub.arcgis.com/maps/cotgis::man-holes-open-data
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    Dataset updated
    Aug 18, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Location of man holes in the City of Tucson. Data in this layer is pulled from plans and drawings submitted to the Tucson Department of Transportation.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

  5. b

    Enterprise Zone

    • gisdata.brla.gov
    • newgis.brla.gov
    • +3more
    Updated Aug 23, 2023
    + more versions
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    East Baton Rouge GIS Map Portal (2023). Enterprise Zone [Dataset]. https://gisdata.brla.gov/datasets/enterprise-zone
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    Dataset updated
    Aug 23, 2023
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    Polygon geometry with attributes displaying enterprise zones in East Baton Rouge Parish, Louisiana.Metadata

  6. V

    Enterprise Zones

    • data.virginia.gov
    • hub.arcgis.com
    • +1more
    Updated Mar 16, 2018
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    City of Lynchburg - GIS Portal (2018). Enterprise Zones [Dataset]. https://data.virginia.gov/dataset/enterprise-zones1
    Explore at:
    geojson, kml, arcgis geoservices rest api, csv, zip, htmlAvailable download formats
    Dataset updated
    Mar 16, 2018
    Dataset provided by
    City of Lynchburg
    Authors
    City of Lynchburg - GIS Portal
    Description

    The boundary designating the Enterprise Zones within the City of Lynchburg. . For more information, please visit http://www.opportunitylynchburg.com/local-initiatives/.

  7. t

    Civic Events - Open Data

    • gisdata.tucsonaz.gov
    Updated Aug 18, 2018
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    City of Tucson (2018). Civic Events - Open Data [Dataset]. https://gisdata.tucsonaz.gov/datasets/civic-events-open-data
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    Dataset updated
    Aug 18, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Civic Events affecting traffic in the City of Tucson.Usage: This layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Link to Open Data item: https://gisdata.tucsonaz.gov/datasets/civic-events-open-data

  8. a

    TSMS Nodes - Open Data

    • hub.arcgis.com
    • gisdata.tucsonaz.gov
    • +1more
    Updated Aug 21, 2018
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    City of Tucson (2018). TSMS Nodes - Open Data [Dataset]. https://hub.arcgis.com/maps/cotgis::tsms-nodes-open-data
    Explore at:
    Dataset updated
    Aug 21, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Stormwater models consist of a set of nodes that are combined to simulate the behavior of the entire system. Each node represents a hydrograph operation, such as generating runoff from a subcatchment or routing the hydrograph through a reach or pond. The individual nodes are interconnected, specifying how the hydrographs are routed from one node to another.PurposeThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyNot updated since 2009

  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
    Explore at:
    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.Geospatial analytics is the act of applying geospatial data to understand spatial data patterns, relation, and trends. The method utilizes numerous types of sources ranging from satellite imaging, GPS signals, and sensor-generated data in constructing interactive maps as well as different forms of visualization. Geospatial analytics becomes a utility across most industries from urban planning and agriculture, to transportation, to environmental monitoring. It can, for instance, optimize the routes for the transportation of products, monitor environmental pollution, and assess the impacts of climate changes along the coasts. The industry is driven by increased government spending on infrastructure construction, growing interest in precision agriculture, and the wide adoption of high-tech solutions such as artificial intelligence and machine learning in the geospatial world. 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. a

    RI State Enterprise Map Data Portal

    • hub.arcgis.com
    Updated May 2, 2017
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    Environmental Data Center (2017). RI State Enterprise Map Data Portal [Dataset]. https://hub.arcgis.com/documents/e4500180cb464bdbab66b5c672013c12
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    Dataset updated
    May 2, 2017
    Dataset authored and provided by
    Environmental Data Center
    Description

    This ArcGIS Online portal provides users with access to data from multiple State agencies, such as the RI Department of Administration, RI Department of Environmental Management, RI Department of Health, RI Department of Transportation and the RI Emergency Management Agency. This highlights a variety of web maps and interactive web mapping applications that have been created by RI state agencies for use by residents and members of other state organizations. This is a great way to view what is available from Rhode Island agencies in one easy-to-access location.

  11. V

    Enterprise Zones

    • odgavaprod.ogopendata.com
    • hub.arcgis.com
    url
    Updated Aug 19, 2024
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    GIS Data City of Norfolk (2024). Enterprise Zones [Dataset]. https://odgavaprod.ogopendata.com/dataset/enterprise-zones
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    urlAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset authored and provided by
    GIS Data City of Norfolk
    Description

    This dataset contains polygon features identifying Enterprise Zones.

  12. C

    Enterprise Zone

    • data.ccrpc.org
    • gis-cityofchampaign.opendata.arcgis.com
    Updated Jun 29, 2022
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    City of Champaign (2022). Enterprise Zone [Dataset]. https://data.ccrpc.org/dataset/enterprise-zone4
    Explore at:
    arcgis geoservices rest api, kml, csv, geojson, zip, htmlAvailable download formats
    Dataset updated
    Jun 29, 2022
    Dataset authored and provided by
    City of Champaign
    Description

    Champaign County-City of Champaign Joint Enterprise Zone

  13. e

    Geodatabase for the Baltimore Ecosystem Study Spatial Data

    • portal.edirepository.org
    • search.dataone.org
    application/vnd.rar
    Updated May 4, 2012
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    Jarlath O'Neal-Dunne; Morgan Grove (2012). Geodatabase for the Baltimore Ecosystem Study Spatial Data [Dataset]. http://doi.org/10.6073/pasta/377da686246f06554f7e517de596cd2b
    Explore at:
    application/vnd.rar(29574980 kilobyte)Available download formats
    Dataset updated
    May 4, 2012
    Dataset provided by
    EDI
    Authors
    Jarlath O'Neal-Dunne; Morgan Grove
    Time period covered
    Jan 1, 1999 - Jun 1, 2014
    Area covered
    Description

    The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making.

       BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions.
    
    
       Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself.
    
    
       For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise.
    
    
       Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. 
    
    
       This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery.
    
    
       See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt
    
    
       See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt
    
  14. d

    Addresses (Open Data)

    • catalog.data.gov
    • data.tempe.gov
    • +10more
    Updated Aug 16, 2025
    + more versions
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    City of Tempe (2025). Addresses (Open Data) [Dataset]. https://catalog.data.gov/dataset/addresses-open-data
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    Dataset updated
    Aug 16, 2025
    Dataset provided by
    City of Tempe
    Description

    This dataset is a compilation of address point data for the City of Tempe. The dataset contains a point location, the official address (as defined by The Building Safety Division of Community Development) for all occupiable units and any other official addresses in the City. There are several additional attributes that may be populated for an address, but they may not be populated for every address. Contact: Lynn Flaaen-Hanna, Development Services Specialist Contact E-mail Link: Map that Lets You Explore and Export Address Data Data Source: The initial dataset was created by combining several datasets and then reviewing the information to remove duplicates and identify errors. This published dataset is the system of record for Tempe addresses going forward, with the address information being created and maintained by The Building Safety Division of Community Development.Data Source Type: ESRI ArcGIS Enterprise GeodatabasePreparation Method: N/APublish Frequency: WeeklyPublish Method: AutomaticData Dictionary

  15. a

    Storm Drains - Open Data

    • hub.arcgis.com
    • prod.testopendata.com
    • +1more
    Updated Aug 19, 2018
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    City of Tucson (2018). Storm Drains - Open Data [Dataset]. https://hub.arcgis.com/datasets/cotgis::storm-drains-open-data/api
    Explore at:
    Dataset updated
    Aug 19, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Location of underground storm drains in the City of Tucson. The data provided here was pulled from drawings and plans submitted to the Tucson Department of Transportation.PurposeThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

  16. d

    Development Enterprise Zones

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated Feb 4, 2025
    + more versions
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    Department of Small and Local Business Development (2025). Development Enterprise Zones [Dataset]. https://catalog.data.gov/dataset/development-enterprise-zones
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Department of Small and Local Business Development
    Description

    The Development Enterprise Zones are used for the purposes of the Certified Business Enterprise program, for active businesses and businesses seeking certification from the Department of Small and Local Business Development (DSLBD).

  17. a

    Wash and ERZ Centerlines - Regulatory - Open Data

    • hub.arcgis.com
    • gisdata.tucsonaz.gov
    • +1more
    Updated Aug 9, 2018
    + more versions
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    City of Tucson (2018). Wash and ERZ Centerlines - Regulatory - Open Data [Dataset]. https://hub.arcgis.com/datasets/e232b0cc7d484d84984234d5f2599b1a
    Explore at:
    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Combination of 2 layers which were all made by Frank Sousa (WASHERZ which showed the existing alignments that are both WASH and ERZ became unnecessary)WASH_ORD shows the existing WASH alignmentsWASH_ERZ shows the existing ERZ alignments Dan Bursuck combined data in May 2015 and added fields: wash_type, status and visible (segments outside of City Limits don't show - visible=no - but are retained because they are part of Frank's original dataPurposeThis layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyNot Maintained

  18. I

    Italy Geospatial Analytics Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 2, 2025
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    Market Report Analytics (2025). Italy Geospatial Analytics Market Report [Dataset]. https://www.marketreportanalytics.com/reports/italy-geospatial-analytics-market-88893
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The Italian geospatial analytics market, valued at €260 million in 2025, is poised for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 8.17% from 2025 to 2033. This expansion is driven by increasing adoption of precision agriculture techniques, the burgeoning need for efficient infrastructure management within utilities and communication sectors, and rising demand for advanced analytics in defense and intelligence applications. Furthermore, the Italian government's focus on smart city initiatives and the expanding digitalization across various sectors, including healthcare and real estate, significantly contribute to market growth. The market segmentation reveals a strong demand across diverse verticals, with agriculture, utilities, and defense exhibiting substantial growth potential. The prevalent use of surface analysis techniques reflects a focus on immediate application needs, while the growing adoption of network and geo-visualization analytics indicates a shift toward more sophisticated and insightful data interpretation. Leading players such as ESRI, Hexagon AB, and Trimble Geospatial are actively contributing to market development by providing cutting-edge software and services. Competition is likely to intensify as smaller, specialized companies emerge, offering niche solutions and catering to the evolving demands of different market segments. The forecast period (2025-2033) anticipates substantial market expansion, largely attributed to continued technological advancements, particularly in AI and machine learning, enhancing the analytical capabilities of geospatial data. However, challenges exist, potentially including data security concerns, the need for skilled professionals to interpret complex analytical results, and the high initial investment required for advanced geospatial technology implementation. Nevertheless, the long-term outlook for the Italian geospatial analytics market remains positive, driven by sustained government investment in digital infrastructure and the increasing awareness of the value proposition offered by sophisticated geospatial analysis across various sectors. The market's trajectory suggests a significant opportunity for both established and emerging players in the years to come. 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: Increase in the number of Smart Cities in The Country, The Implementation of analytics Software in the Country's Public Transportation. Notable trends are: The Increase in the Number of Smart Cities in The Country Fuels the Market Growth.

  19. a

    RTA Special Needs Area - Open Data

    • data1-cotgis.opendata.arcgis.com
    • gisdata.tucsonaz.gov
    Updated Aug 19, 2018
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    City of Tucson (2018). RTA Special Needs Area - Open Data [Dataset]. https://data1-cotgis.opendata.arcgis.com/datasets/rta-special-needs-area-open-data
    Explore at:
    Dataset updated
    Aug 19, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Status: Completed 12/31/2012Contact: John Zukas, TDOT, 520-837-5883, john.zukas@tucsonaz.govKnown Errors and Qualifications: None.Supplemental Information: This layer is used by the ADA Paratransit Eligibility Office to determine a "primary" or "secondary" transit provider for those deemed ADA paratransit eligible. Lineage: None.Usage: This layer is intended to be used in the Open Data portal and not for regular use in ArcGIS Online and ArcGIS Enterprise.Link to Open Data item: https://gisdata.tucsonaz.gov/datasets/rta-special-needs-area-open-data

  20. K

    King County GIS Open Data site

    • data.kingcounty.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    application/rdfxml +5
    Updated Feb 21, 2018
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    (2018). King County GIS Open Data site [Dataset]. https://data.kingcounty.gov/County-Operations/King-County-GIS-Open-Data-site/wuuf-xywg
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    tsv, xml, json, csv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Feb 21, 2018
    Area covered
    King County
    Description

    Link to King County GIS Center Open Data site. Provides access to browse and download from hundreds of enterprise data sets. Includes links to other data sources including legacy FTP Download Portal

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Enterprise GIS (2020). How to Use GIS Open Data Portal [Dataset]. https://data.sanjoseca.gov/dataset/how-to-use-gis-open-data-portal

How to Use GIS Open Data Portal

Explore at:
htmlAvailable download formats
Dataset updated
Oct 6, 2020
Dataset provided by
City of San José
Authors
Enterprise GIS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

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