All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.

The Geographic Information Systems (GIS) Platform market is booming, projected to reach $4078.2 million in 2025 and experiencing significant growth through 2033. Explore market trends, key players (Esri, Hexagon, Pitney Bowes), and regional insights in this comprehensive analysis. Discover the impact of cloud-based GIS and spatial analytics on this dynamic sector.

Discover the booming interactive map creation tools market! This in-depth analysis reveals a $2.5 billion market in 2025, projected to reach $8 billion by 2033, driven by cloud-based solutions and growing data visualization needs. Learn about key players, market segmentation, and regional trends shaping this exciting sector.

The Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (guis_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (guis_geomorphology_metadata_faq.pdf). Please read the guis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (guis_geomorphology_metadata.txt or guis_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the Global Equipment GIS Mapping for Facilities market size was valued at $1.6 billion in 2024 and is projected to reach $4.3 billion by 2033, expanding at a CAGR of 11.5% during 2024–2033. The primary factor fueling this robust growth is the increasing demand for advanced geospatial analytics across facility management sectors, driven by the need for real-time asset tracking, efficient resource allocation, and predictive maintenance capabilities. Organizations across industries are realizing the value of integrating Geographic Information Systems (GIS) with facility equipment mapping to optimize operational workflows, reduce downtime, and enhance decision-making. This market is also witnessing accelerated adoption due to digital transformation initiatives and the growing reliance on data-driven insights for managing complex facility infrastructures globally.

Regional Outlook

North America currently holds the largest share of the Equipment GIS Mapping for Facilities market, accounting for approximately 38% of global revenue in 2024. The region’s dominance is attributed to its mature technology landscape, widespread adoption of advanced facility management solutions, and strong presence of leading GIS software vendors. Regulatory mandates for safety, sustainability, and asset transparency in sectors such as healthcare, education, and utilities further amplify the demand for GIS mapping technologies. Additionally, substantial investments in smart building solutions and the integration of IoT with GIS platforms have positioned North America as a pioneer in this space. The region benefits from robust IT infrastructure, high digital literacy, and supportive public policies, all of which contribute to rapid market expansion and innovation.

The Asia Pacific region is expected to witness the fastest growth in the Equipment GIS Mapping for Facilities market, with a projected CAGR of 14.2% from 2024 to 2033. This growth is primarily driven by rapid urbanization, infrastructure modernization projects, and increased government focus on smart city initiatives. Countries such as China, India, Japan, and South Korea are investing heavily in digital infrastructure and public utilities, driving the adoption of GIS-based facility mapping solutions. The proliferation of cloud-based GIS platforms and mobile mapping applications is making these technologies more accessible to a broader range of end-users. Furthermore, rising awareness of the operational efficiencies and cost savings offered by GIS mapping is encouraging both public and private sector organizations to invest in these solutions, fueling robust regional growth.

Emerging economies in Latin America and the Middle East & Africa are gradually embracing Equipment GIS Mapping for Facilities, albeit at a slower pace due to infrastructural and economic constraints. Adoption in these regions is often hampered by limited access to advanced IT infrastructure, budgetary limitations, and a shortage of skilled GIS professionals. However, localized demand is increasing, particularly in sectors such as utilities, transportation, and government, where the need for efficient asset management and infrastructure planning is critical. Policy reforms, international aid, and public-private partnerships are beginning to address these challenges, creating new opportunities for market penetration. As digital transformation accelerates and awareness of GIS benefits grows, these regions are expected to contribute more significantly to the global market in the coming years.

Report Scope

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the global Equipment GIS Mapping for Facilities market size reached USD 3.1 billion in 2024, reflecting robust expansion driven by digital transformation across facility management sectors. The market is experiencing a healthy growth trajectory, with a projected CAGR of 10.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 7.7 billion. This significant growth is attributed to the rising need for real-time spatial intelligence, enhanced asset management, and the integration of advanced geospatial technologies within various facility types. As organizations increasingly prioritize operational efficiency and data-driven decision-making, the adoption of GIS mapping solutions for facilities is expected to accelerate across diverse end-user verticals.

The primary growth factor fueling the Equipment GIS Mapping for Facilities market is the intensifying demand for integrated asset management and space optimization across both public and private sectors. Facility managers are under mounting pressure to maximize resource utilization, reduce operational costs, and ensure regulatory compliance. GIS mapping platforms provide a comprehensive, visualized inventory of assets, infrastructure, and spatial layouts, enabling data-driven planning and real-time monitoring. The ability to overlay facility data with geographic information empowers stakeholders to proactively manage maintenance schedules, rapidly locate equipment, and streamline emergency response. As a result, industries such as healthcare, education, government, and commercial real estate are increasingly investing in GIS mapping solutions to elevate their facility management practices.

Another significant driver is the rapid technological advancements in GIS software and hardware, coupled with the proliferation of cloud-based deployment models. Modern GIS solutions now offer robust integration capabilities with IoT devices, building management systems, and enterprise resource planning platforms. This seamless interoperability allows for the aggregation and analysis of vast datasets, supporting predictive analytics and automation. The shift towards cloud deployment is particularly notable, as it reduces upfront infrastructure costs, enhances scalability, and facilitates remote access to facility data. These innovations are making GIS mapping tools more accessible and cost-effective for organizations of all sizes, further propelling market growth.

Furthermore, the growing emphasis on sustainability, security, and emergency preparedness is amplifying the adoption of GIS mapping for facilities. Organizations are leveraging GIS to monitor energy consumption, optimize space usage, and implement green building initiatives. In addition, GIS mapping supports comprehensive security and emergency planning by providing real-time visualization of facility layouts, evacuation routes, and critical infrastructure. This holistic approach to facility management not only enhances occupant safety but also aligns with broader ESG (Environmental, Social, and Governance) goals. The convergence of these trends is expected to sustain the upward momentum of the Equipment GIS Mapping for Facilities market over the forecast period.

Regionally, North America dominates the Equipment GIS Mapping for Facilities market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The market in North America is characterized by early technology adoption, a mature facility management ecosystem, and significant investments in smart building initiatives. Europe is witnessing steady growth, driven by stringent regulatory requirements and a strong focus on sustainability. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, infrastructure development, and increasing awareness of GIS benefits. Latin America and the Middle East & Africa are also showing promising potential, albeit at a more nascent stage, as governments and enterprises gradually recognize the value of spatial intelligence in facility management.

Discover the booming GIS mapping tools market! Explore market size, growth trends (8% CAGR), key players (Esri, QGIS, ArcGIS), and regional insights. Learn how cloud-based GIS and AI are transforming industries like urban planning and geological exploration. Get the latest data and forecasts for 2025-2033.

The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7.8 billion by 2033. This expansion is fueled by several key factors. The rising adoption of location-based services (LBS) and geographic information systems (GIS) across industries like real estate, tourism, logistics, and urban planning is a major catalyst. Businesses are increasingly leveraging interactive maps to enhance customer engagement, improve operational efficiency, and gain valuable insights from geospatial data. Furthermore, advancements in mapping technologies, including the integration of AI and machine learning for improved data analysis and visualization, are contributing to market growth. The accessibility of user-friendly tools, coupled with the decreasing cost of cloud-based solutions, is also making interactive map creation more accessible to a wider range of users, from individuals to large corporations. However, the market also faces certain challenges. Data security and privacy concerns surrounding the use of location data are paramount. The need for specialized skills and expertise to effectively utilize advanced mapping technologies may also hinder broader adoption, particularly among smaller businesses. Competition among established players like Mapbox, ArcGIS StoryMaps, and Google, alongside emerging innovative solutions, necessitates constant innovation and differentiation. Nevertheless, the overall market outlook remains positive, with continued technological advancements and rising demand for data visualization expected to propel growth in the coming years. Specific market segmentation data, while unavailable, can be reasonably inferred from existing market trends, suggesting a strong dominance of enterprise-grade solutions, but with substantial growth expected from simpler, more user-friendly tools designed for individuals and small businesses.

Hydrogen GIS Mapping Platform Market Outlook

According to our latest research, the global Hydrogen GIS Mapping Platform market size reached USD 1.3 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.2% projected through the forecast period. By 2033, the market is anticipated to achieve a value of USD 5.2 billion, driven by escalating investments in hydrogen infrastructure and the growing adoption of geographic information systems (GIS) for efficient hydrogen value chain management. This growth is underpinned by the increasing need for real-time spatial data analytics, which is crucial for optimizing hydrogen production, storage, and distribution networks worldwide.

One of the primary growth factors for the Hydrogen GIS Mapping Platform market is the accelerating global transition towards clean energy sources, particularly green hydrogen. Governments and private sector stakeholders are investing heavily in hydrogen as a cornerstone of decarbonization strategies. The complexity of hydrogen infrastructure, which spans production sites, pipelines, storage facilities, and distribution channels, necessitates advanced mapping and spatial analytics capabilities. GIS platforms provide a comprehensive toolset for visualizing, planning, and monitoring these interconnected assets, enabling stakeholders to make data-driven decisions that enhance operational efficiency and ensure regulatory compliance. The integration of GIS mapping with IoT and AI technologies further amplifies the value proposition, offering predictive insights and automation for hydrogen infrastructure management.

Another significant driver is the increasing emphasis on safety, risk management, and environmental stewardship in hydrogen ecosystem development. Hydrogen, while a promising energy carrier, poses unique challenges related to storage, transportation, and leak detection. GIS mapping platforms enable real-time monitoring and geospatial analysis of environmental factors, asset integrity, and potential hazard zones. This capability is vital for regulatory reporting, emergency response planning, and ensuring the safe deployment of hydrogen infrastructure in urban and rural settings. As hydrogen projects scale up in size and complexity, the demand for sophisticated GIS solutions that can integrate diverse data sources and support cross-sector collaboration is expected to surge.

The hydrogen economy’s rapid globalization is also fueling the expansion of the Hydrogen GIS Mapping Platform market. Cross-border hydrogen projects, international supply chains, and multinational investments require standardized, interoperable mapping solutions. GIS platforms facilitate seamless data sharing and collaborative planning among various stakeholders, including governments, utilities, transportation operators, and industrial users. This interoperability is crucial for optimizing resource allocation, minimizing project delays, and maintaining transparency across the hydrogen value chain. The increasing adoption of cloud-based GIS platforms is making it easier for organizations of all sizes to access advanced mapping capabilities, further democratizing the use of spatial analytics in the hydrogen sector.

From a regional perspective, Europe currently leads the Hydrogen GIS Mapping Platform market, accounting for approximately 38% of global revenue in 2024, driven by ambitious hydrogen roadmaps and substantial investments in clean energy infrastructure. North America follows closely, with strong government support and a rapidly expanding network of hydrogen projects in the United States and Canada. The Asia Pacific region is emerging as a high-growth market, propelled by large-scale hydrogen initiatives in countries such as Japan, South Korea, and Australia. These regions are characterized by distinct regulatory frameworks, infrastructure maturity levels, and technology adoption rates, shaping the demand for GIS mapping solutions tailored to local needs.

Component Analysis

The Hydrogen GIS Mapping Platform market is segmented by component into software and services, each playing a pivotal role in the overall ecosystem. The software segment encompasses a wide array of GIS applications tailored to hydrogen infrastructure planning, asset management, environmental monitoring, and logistics optimization. These software solutions are increasingly leveraging cloud computing, artificial intelligence, and mac

Xtract.io’s massive 3.5M+ POI database represents a transformative resource for advanced location intelligence across the United States and Canada. Data scientists, GIS professionals, big data analysts, market researchers, and strategic planners can leverage these comprehensive places data insights to develop sophisticated market strategies, conduct advanced spatial analyses, and gain a deep understanding of regional geographical landscapes.

Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape with comprehensive POI coverage.

LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive POI database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including: -Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

Why Choose LocationsXYZ for Comprehensive Location Data? At LocationsXYZ, we: -Deliver 3.5M+ POI data with 95% accuracy -Refresh places data every 30, 60, or 90 days to ensure the most recent information -Create on-demand comprehensive POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide multi-industry POI data and polygon data in multiple file formats

Unlock the Power of Places Data With our comprehensive location intelligence, you can: -Perform thorough market analyses across multiple industries -Identify the best locations for new stores using POI database insights -Gain insights into consumer behavior with places data -Achieve an edge with competitive intelligence using comprehensive coverage

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Massive 3.5M+ POI database providing multi-industry places data across the US and Canada. Includes automotive, retail, dining, healthcare, education, and more. Built for GIS developers, mapping platforms, and analysts conducting market research, spatial analysis, and location intelligence.

Damper Labeling and GIS Mapping Market Outlook

According to our latest research, the global damper labeling and GIS mapping market size reached USD 1.13 billion in 2024, with a robust growth trajectory driven by the increasing integration of digital solutions in building management and infrastructure development. The market is currently expanding at a CAGR of 8.2% and is forecasted to achieve a value of USD 2.22 billion by 2033. This growth is primarily attributed to the surging demand for precise asset tracking, enhanced regulatory compliance, and the adoption of advanced Geographic Information System (GIS) technologies across various industrial and commercial sectors.

One of the primary growth factors propelling the damper labeling and GIS mapping market is the intensifying focus on building automation and smart infrastructure development. As cities worldwide embrace smart building initiatives, the need for accurate damper labeling and real-time GIS mapping becomes indispensable for efficient facility management and safety compliance. Modern HVAC systems, fire safety mechanisms, and industrial ventilation systems rely heavily on precise damper identification and location tracking. This digital transformation is further supported by stringent regulatory frameworks that mandate clear asset labeling and documentation, ensuring safety and operational efficiency. The integration of IoT and AI-driven analytics within GIS mapping platforms is also enhancing operational visibility, thereby reducing maintenance costs and downtime.

Additionally, the rising adoption of cloud-based solutions is significantly influencing market dynamics. Cloud deployment offers scalability, remote accessibility, and seamless data sharing, which are crucial for large-scale commercial and industrial projects. Organizations are increasingly leveraging cloud-enabled GIS mapping to centralize asset data, streamline workflows, and facilitate real-time collaboration among stakeholders. This shift is particularly valuable in multi-site operations, where centralized control and standardized labeling protocols are essential for regulatory compliance and effective risk management. As a result, service providers are investing heavily in cloud infrastructure and cybersecurity, which is expected to further accelerate market growth.

Another compelling driver for the damper labeling and GIS mapping market is the growing emphasis on fire safety and disaster preparedness. With the escalation of fire incidents in commercial and industrial facilities, regulatory bodies are enforcing stricter codes for damper identification and maintenance. GIS mapping, when integrated with advanced labeling systems, provides a comprehensive overview of damper locations, enabling swift response during emergencies. This capability is particularly critical for large-scale facilities such as hospitals, educational institutions, and manufacturing plants, where rapid evacuation and risk mitigation are paramount. Furthermore, the ongoing trend of retrofitting aging infrastructure with modern labeling and mapping solutions is opening new avenues for market expansion, as facility managers seek to enhance safety and operational transparency.

From a regional perspective, North America continues to dominate the damper labeling and GIS mapping market, owing to its early adoption of advanced building automation technologies and stringent regulatory standards. The presence of leading technology providers, coupled with significant investments in smart city projects, is fostering innovation and market penetration. In contrast, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, infrastructure modernization, and government-led initiatives to enhance building safety and energy efficiency. Europe, with its mature construction sector and strong focus on sustainability, is also contributing significantly to market development. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as promising markets, fueled by increasing awareness of safety regulations and the adoption of digital asset management practices.

Component Analysis

The damper labeling and GIS mapping market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. The software segment is experiencing substantial growth, driven by the increasing demand for advanced GIS platforms that offer real-time data visualization, asset tr

Discover the booming 3D GIS Platform market! Explore a $5 billion market projected to grow at a 15% CAGR until 2033, driven by cloud adoption, LiDAR advancements, and urban planning needs. Learn about key players like Esri and SuperMap, and understand the market trends shaping this exciting sector.

This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data.

See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

This dataset contains a list of useful links to 3rd party GIS open resources, as well as to YorkView, which is City of York Council's public mapping platform.

Dataset for the textbook Computational Methods and GIS Applications in Social Science (3rd Edition), 2023 Fahui Wang, Lingbo Liu Main Book Citation: Wang, F., & Liu, L. (2023). Computational Methods and GIS Applications in Social Science (3rd ed.). CRC Press. https://doi.org/10.1201/9781003292302 KNIME Lab Manual Citation: Liu, L., & Wang, F. (2023). Computational Methods and GIS Applications in Social Science - Lab Manual. CRC Press. https://doi.org/10.1201/9781003304357 KNIME Hub Dataset and Workflow for Computational Methods and GIS Applications in Social Science-Lab Manual Update Log If Python package not found in Package Management, use ArcGIS Pro's Python Command Prompt to install them, e.g., conda install -c conda-forge python-igraph leidenalg NetworkCommDetPro in CMGIS-V3-Tools was updated on July 10,2024 Add spatial adjacency table into Florida on June 29,2024 The dataset and tool for ABM Crime Simulation were updated on August 3, 2023, The toolkits in CMGIS-V3-Tools was updated on August 3rd,2023. Report Issues on GitHub https://github.com/UrbanGISer/Computational-Methods-and-GIS-Applications-in-Social-Science Following the website of Fahui Wang : http://faculty.lsu.edu/fahui Contents Chapter 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana Chapter 2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior Case Study 2A: Estimating Drive Time and Transit Time in Baton Rouge, Louisiana Case Study 2B: Analyzing Distance Decay Behavior for Hospitalization in Florida Chapter 3. Spatial Smoothing and Spatial Interpolation Case Study 3A: Mapping Place Names in Guangxi, China Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana Case Study 3C: Detecting Spatiotemporal Crime Hotspots in Baton Rouge, Louisiana Chapter 4. Delineating Functional Regions and Applications in Health Geography Case Study 4A: Defining Service Areas of Acute Hospitals in Baton Rouge, Louisiana Case Study 4B: Automated Delineation of Hospital Service Areas in Florida Chapter 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity Case Study 5: Measuring Accessibility of Primary Care Physicians in Baton Rouge Chapter 6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns Case Study 6: Analyzing Population Density Patterns in Chicago Urban Area >Chapter 7. Principal Components, Factor and Cluster Analyses and Application in Social Area Analysis Case Study 7: Social Area Analysis in Beijing Chapter 8. Spatial Statistics and Applications in Cultural and Crime Geography Case Study 8A: Spatial Distribution and Clusters of Place Names in Yunnan, China Case Study 8B: Detecting Colocation Between Crime Incidents and Facilities Case Study 8C: Spatial Cluster and Regression Analyses of Homicide Patterns in Chicago Chapter 9. Regionalization Methods and Application in Analysis of Cancer Data Case Study 9: Constructing Geographical Areas for Mapping Cancer Rates in Louisiana Chapter 10. System of Linear Equations and Application of Garin-Lowry in Simulating Urban Population and Employment Patterns Case Study 10: Simulating Population and Service Employment Distributions in a Hypothetical City Chapter 11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers Case Study 11A: Measuring Wasteful Commuting in Columbus, Ohio Case Study 11B: Location-Allocation Analysis of Hospitals in Rural China Chapter 12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations Case Study 12A. Examining Zonal Effect on Urban Population Density Functions in Chicago by Monte Carlo Simulation Case Study 12B: Monte Carlo-Based Traffic Simulation in Baton Rouge, Louisiana Chapter 13. Agent-Based Model and Application in Crime Simulation Case Study 13: Agent-Based Crime Simulation in Baton Rouge, Louisiana Chapter 14. Spatiotemporal Big Data Analytics and Application in Urban Studies Case Study 14A: Exploring Taxi Trajectory in ArcGIS Case Study 14B: Identifying High Traffic Corridors and Destinations in Shanghai Dataset File Structure 1 BatonRouge Census.gdb BR.gdb 2A BatonRouge BR_Road.gdb Hosp_Address.csv TransitNetworkTemplate.xml BR_GTFS Google API Pro.tbx 2B Florida FL_HSA.gdb R_ArcGIS_Tools.tbx (RegressionR) 3A China_GX GX.gdb 3B BatonRouge BR.gdb 3C BatonRouge BRcrime R_ArcGIS_Tools.tbx (STKDE) 4A BatonRouge BRRoad.gdb 4B Florida FL_HSA.gdb HSA Delineation Pro.tbx Huff Model Pro.tbx FLplgnAdjAppend.csv 5 BRMSA BRMSA.gdb Accessibility Pro.tbx 6 Chicago ChiUrArea.gdb R_ArcGIS_Tools.tbx (RegressionR) 7 Beijing BJSA.gdb bjattr.csv R_ArcGIS_Tools.tbx (PCAandFA, BasicClustering) 8A Yunnan YN.gdb R_ArcGIS_Tools.tbx (SaTScanR) 8B Jiangsu JS.gdb 8C Chicago ChiCity.gdb cityattr.csv ...

This research study considers one such urban technology, namely utilising digital twins in cities. Digital twin city (DTC) technology is investigated to identify the gap in soft infrastructure data inclusion in DTC development. Soft infrastructure data considers the social and economic systems of a city, which leads to the identification of socio-economic security (SES) as the metric of investigation. The study also investigated how GIS mapping of the SES system in the specific context of Hatfield informs a soft infrastructure understanding that contributes to DTC readiness. This research study collected desk-researched secondary data and field-researched primary data in GIS using ArcGIS PRO and the Esri Online Platform using ArcGIS software. To form conclusions, grounded theory qualitative analysis and descriptive statistics analysis of the spatial GIS data schema data sets were performed.

The Geographic Information System (GIS) Services market is experiencing robust growth, driven by increasing adoption across various sectors. While the provided data lacks specific market size figures, based on industry reports and observed trends in related technology sectors, we can estimate a 2025 market size of approximately $15 billion USD. This reflects the significant investments being made in spatial data infrastructure and the growing demand for location-based analytics. Assuming a Compound Annual Growth Rate (CAGR) of 8%, the market is projected to reach roughly $25 billion by 2033. Key drivers include the rising need for precise mapping and location intelligence in environmental management, urban planning, and resource optimization. Furthermore, advancements in cloud-based GIS platforms, the increasing availability of big data, and the development of sophisticated geospatial analytics tools are fueling market expansion. The market is segmented by service type (Analyze, Visualize, Manage, Others) and application (primarily Environmental Agencies, but also extending to various sectors such as utilities, transportation, and healthcare). North America currently holds a significant market share due to early adoption and advanced technological infrastructure. However, regions like Asia-Pacific are demonstrating rapid growth, driven by increasing urbanization and infrastructure development. While the lack of readily available detailed market figures presents a challenge for complete precision in projection, the overall trend points to a considerable expansion of the GIS services sector over the forecast period. The competitive landscape is characterized by a mix of large multinational corporations like Infosys and Intellias and smaller, specialized firms like EnviroScience and R&K Solutions, reflecting the diverse needs of the market. These companies compete based on their technological capabilities, industry expertise, and geographical reach. The ongoing integration of GIS with other technologies, such as artificial intelligence (AI) and machine learning (ML), will further shape the market landscape, creating opportunities for innovation and differentiation. Challenges include the high initial investment costs associated with implementing GIS solutions and the need for skilled professionals to effectively utilize these technologies. However, the long-term benefits of improved decision-making and operational efficiency are driving wider adoption despite these hurdles. The future growth of the GIS services market hinges on the continued development of innovative technologies and the increasing awareness of the value that location-based insights provide across various industries.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TYPE type: Stringwidth: 50precision: 0 Type of sports facility

EditDate type: Stringwidth: 4precision: 0

Fiber Route Automated GIS Mapping Market Outlook

According to our latest research, the global Fiber Route Automated GIS Mapping market size in 2024 stands at USD 2.13 billion, registering robust momentum across infrastructure sectors. The market is set to expand at a CAGR of 13.4% between 2025 and 2033, driven by the surging demand for advanced network visualization and real-time asset management. By 2033, the Fiber Route Automated GIS Mapping market is projected to reach USD 6.57 billion, underscoring the critical role of automated GIS tools in modernizing fiber optic deployment, operations, and maintenance. This growth is primarily attributed to the increasing need for efficient network planning, route optimization, and the rising complexity of fiber infrastructure globally.

The Fiber Route Automated GIS Mapping market is experiencing significant growth due to the rapid expansion of fiber optic networks to support high-speed data transmission and the proliferation of 5G infrastructure. As telecommunications providers and utility companies race to meet escalating bandwidth demands, there is an acute need for precise, automated, and scalable GIS mapping solutions. These systems streamline the entire lifecycle of fiber network management, from initial route planning and design to ongoing maintenance and optimization. The integration of advanced GIS mapping with AI-driven analytics enables organizations to reduce operational costs, minimize manual errors, and accelerate time-to-market for new network rollouts. Furthermore, the increasing complexity of urban and rural network environments necessitates the adoption of automated GIS mapping to ensure seamless connectivity and optimal resource utilization.

Another key driver for the Fiber Route Automated GIS Mapping market is the growing emphasis on digital transformation and the adoption of smart infrastructure by governments and private enterprises alike. As cities and municipalities invest in smart city initiatives, the need for robust fiber networks and efficient asset management becomes paramount. Automated GIS mapping tools offer unparalleled visibility into existing infrastructure, enabling stakeholders to make informed decisions regarding network expansion, upgrades, and maintenance schedules. Additionally, regulatory mandates for accurate documentation and reporting of network assets are propelling the adoption of automated GIS solutions, as they facilitate compliance and improve transparency. The convergence of IoT, cloud computing, and big data analytics further amplifies the value proposition of automated GIS mapping in the fiber route domain.

The surge in demand for real-time monitoring and predictive maintenance is also fueling the expansion of the Fiber Route Automated GIS Mapping market. As fiber networks become more integral to mission-critical applications across sectors such as transportation, healthcare, and finance, ensuring network reliability and minimizing downtime becomes a top priority. Automated GIS mapping platforms enable continuous monitoring of network health, rapid identification of faults or vulnerabilities, and proactive maintenance interventions. This not only enhances service quality and customer satisfaction but also extends the lifespan of network assets. The integration of mobile GIS applications and remote sensing technologies further empowers field teams to access and update network data in real time, fostering operational agility and resilience.

From a regional perspective, North America currently leads the Fiber Route Automated GIS Mapping market, driven by substantial investments in broadband infrastructure, 5G deployments, and smart city projects. However, the Asia Pacific region is poised for the fastest growth, with a projected CAGR of over 15.2% through 2033, fueled by rapid urbanization, government-led digital initiatives, and expanding telecom networks in countries like China, India, and Japan. Europe follows closely, benefiting from ambitious fiber-to-the-home (FTTH) rollouts and stringent regulatory frameworks promoting network transparency and efficiency. While Latin America and Middle East & Africa are still emerging markets, they present significant long-term opportunities as infrastructure development accelerates and digital connectivity becomes a strategic priority.