This article uses a multiscale approach for assessing landscape changes in one of the world’s biodiversity hotspots in Brazil, the Rio Doce State Park (PERD). In this article, we assess land use changes over a 30 year period. Our results show that, while inside the park landscape changes were minimal, in the park buffer zone human induced changes are steadily rising due to an increase in eucalyptus plantations and urban sprawl that grew by 4% and 1.9%, respectively. Agricultural land has been reduced by 6.35%, but there are trends that a form of welcome forest transition has been occurring. We report an increase in native forests from 40,588 ha in 1985 to 45,690 ha in 2015. The analysis of human impacts in the study area delivers very different results when varying the pixel size from 25 ha to 900 m2. The former shows a very high level of human influence while the latter reveals small but vital patches of native forest offering hopeful opportunities for sustainable natural resource management in this critical biome. Our work stresses the importance of better targeted policy making and sympathetic land use management of buffer zones of protected areas. Currently, such zones suffer from many development pressures and often experience contradictory policy frameworks which encourage a clash between biodiversity conservation and intensive agro husbandry production. Highlights: • We characterize land use transitions in a hotspot of biodiversity in Brazil. • Analysis at finer resolution show that there is still hope for forest recovery. • For instilling sustainable forest transitions there is the need for fresh governance.

This dataset includes maps produced from the Australian Antarctic Data Centre GIS for use in environmental management of the 'old' Casey station tip site and the abandoned Wilkes station site: a map of the Windmill Islands showing the locations of Casey and Wilkes, contour maps of Casey and Wilkes and a map showing the water flow directions at Casey. The maps were used for locating contaminated areas and identifying the processes involved in contamination spread. Also included in the dataset is the GIS topographic and derived data used to create the maps.

The Australian Antarctic Data Centre's Larsemann Hills topographic GIS dataset was mapped from aerial photography. Refer to the metadata record 'Larsemann Hills - Mapping from aerial photography captured February 1998', Entry ID gis135. Since then GIS data with the locations and attributes of a range of features has been created from various sources, often for the purpose of environmental management. The features include station buildings, refuges, camp sites, management zones, helicopter landing areas, anchorages, beaches, a grave, monuments and Physics equipment. The data are included in the GIS data available for download from a Related URL below. The data conforms to the SCAR Feature Catalogue which includes data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 6. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature, including the origin of the data.

Note: This dataset is updated weekly. NJEMS Sites are points representing sites regulated by NJDEP under one or more regulatory permitting or enforcement programs, or sites that are otherwise of some interest to a NJDEP program. The NJDEP New Jersey Environmental Management System (NJEMS) serves as the database that supplies coordinates and descriptive attributes from several tables used to generate this GIS layer. This layer is produced primarily for the NJDEP i-MapNJ ArcIMS interactive mapping web application and ArcGIS (ArcView, ArcInfo) users. Program interests included in NJEMS are: Air, Communications Center, Discharge Prevention, Exams and Licensing, Fish Game and Wildlife, Green Acres, Hazardous Waste, Lab Certification, Land Use, Landscape Irrigation, Parks and Forestry, Pesticides, Pinelands, Planning, Radiation, Right-to-Know, Site Remediation, Soil Conservation, Solid Waste, TCPA, Water Quality, Water Supply, and Watershed Management. The locations derived using GPS represent main entrance or front door locations for the sites. Users should note that not every site in NJEMS presently (as of February 2009) has an established coordinate (GPS or otherwise). NJDEP is continually working to acquire these with GPS, location data submitted to permitting programs, and through address matching techniques.

A platform-agnostic and living geographic information data dictionary for trafficking of wild flora and fauna based on diverse stakeholder input and with the potential to accelerate convergence of information and increase efficacy of interventions.

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 ...

Geographic Information System (GIS) Market Outlook

The Geographic Information System (GIS) market is witnessing robust growth with its global market size projected to reach USD 25.7 billion by 2032, up from USD 8.7 billion in 2023, at a compound annual growth rate (CAGR) of 12.4% during the forecast period. This growth is primarily driven by the increasing integration of GIS technology across various industries to improve spatial data visualization, enhance decision-making, and optimize operations. The benefits offered by GIS in terms of accuracy, efficiency, and cost-effectiveness are convincing more sectors to adopt these systems, thereby expanding the market size significantly.

A major growth factor contributing to the GIS market expansion is the escalating demand for location-based services. As businesses across different sectors recognize the importance of spatial data analytics in driving strategic decisions, the reliance on GIS applications is becoming increasingly pronounced. The rise in IoT devices, coupled with the enhanced capabilities of AI and machine learning, has further fueled the demand for GIS solutions. These technologies enable the processing and analysis of large volumes of spatial data, thereby providing valuable insights that businesses can leverage for competitive advantage. In addition, government initiatives promoting the adoption of digital infrastructure and smart city projects are playing a crucial role in the growth of the GIS market.

The advancement in satellite imaging and remote sensing technologies is another key driver of the GIS market growth. With enhanced satellite capabilities, the precision and quality of geospatial data have significantly improved, making GIS applications more reliable and effective. The availability of high-resolution satellite imagery has opened new avenues in various sectors including agriculture, urban planning, and disaster management. Moreover, the decreasing costs of satellite data acquisition and the proliferation of drone technology are making GIS more accessible to small and medium enterprises, further expanding the market potential.

The advent of 3D Geospatial Technologies is revolutionizing the way industries utilize GIS data. By providing a three-dimensional perspective, these technologies enhance spatial analysis and visualization, offering more detailed and accurate representations of geographical areas. This advancement is particularly beneficial in urban planning, where 3D models can simulate cityscapes and infrastructure, allowing planners to visualize potential developments and assess their impact on the environment. Moreover, 3D geospatial data is proving invaluable in sectors such as construction and real estate, where it aids in site analysis and project planning. As these technologies continue to evolve, they are expected to play a pivotal role in the future of GIS, expanding its applications and driving further market growth.

Furthermore, the increasing application of GIS in environmental monitoring and management is bolstering market growth. With growing concerns over climate change and environmental degradation, GIS is being extensively used for resource management, biodiversity conservation, and natural disaster risk management. This trend is expected to continue as more organizations and governments prioritize sustainability, thereby driving the demand for advanced GIS solutions. The integration of GIS with other technologies such as big data analytics, and cloud computing is also expected to enhance its capabilities, making it an indispensable tool for environmental management.

Regionally, North America is currently leading the GIS market, driven by the widespread adoption of advanced technologies and the presence of major GIS vendors. The regionÂ’s focus on infrastructure development and smart city projects is further propelling the market growth. Europe is also witnessing significant growth owing to the increasing adoption of GIS in various industries such as agriculture and transportation. The Asia Pacific region is anticipated to exhibit the highest CAGR during the forecast period, attributed to rapid urbanization, government initiatives for digital transformation, and increasing investments in infrastructure development. In contrast, the markets in Latin America and the Middle East & Africa are growing steadily as these regions continue to explore and adopt GIS technologies.

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The Spatial Analysis Software market is experiencing robust growth, driven by increasing adoption across diverse sectors like urban planning, environmental management, and logistics. The market's expansion is fueled by several key factors: the escalating availability of geospatial data, advancements in cloud computing and AI capabilities that enhance analytical power, and a rising need for data-driven decision-making across industries. This surge in demand translates to a significant market opportunity, projected to reach [Estimate a reasonable market size for 2025 based on industry knowledge, e.g., $5 billion] in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of [Estimate a reasonable CAGR, e.g., 12%] from 2025 to 2033. This growth is further segmented by application (e.g., environmental monitoring, transportation planning, precision agriculture) and software type (e.g., GIS software, remote sensing software, spatial statistics software). North America and Europe currently hold substantial market shares, but rapidly developing economies in Asia-Pacific, particularly China and India, are poised to become major contributors to future growth. However, market expansion faces certain restraints. High initial investment costs for sophisticated software and the need for specialized expertise to effectively utilize the software can hinder adoption among smaller organizations. Furthermore, data security and privacy concerns regarding geospatial data are crucial considerations that could impact growth if not addressed effectively. Despite these challenges, the long-term outlook for the Spatial Analysis Software market remains positive, driven by continuous technological innovations, increasing data volumes, and growing awareness of the value of location intelligence across diverse applications. The increasing use of cloud-based solutions is expected to mitigate the high upfront costs and make the technology accessible to a broader range of users. This trend, coupled with ongoing research and development in the field, promises to fuel even stronger market expansion in the coming years.

National forest roads allow access to public lands providing connections to natural and cultural heritage. Planning processes that address potential road closures or conversions can be highly contentious. Public participatory GIS (PPGIS) has been used as a tool to gather information for environmental planning and decision-making. Our PPGIS approach in a national forest in Washington (USA) incorporated workshops and online engagement with 1,810 participants to gather public input for sustainable roads planning. We identified the most important forest destinations and developed an analytical framework for assessing forest roads based on the density and diversity of use. In this paper, we summarize our PPGIS process and identify challenges faced in the application of socio-spatial data. A comparative analysis of road planning in other forests further highlights challenges in incorporating public use data. While the PPGIS process was valued for relationship-building, it is less evident how directly the socio-spatial data informed outcomes.

The Geographic Information System (GIS) Services market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, we can infer substantial expansion based on the identified market drivers and trends. The burgeoning adoption of GIS technology in environmental management, infrastructure development, and precision agriculture is fueling market expansion. The integration of GIS with advanced analytics, such as AI and machine learning, is further enhancing its capabilities and broadening its applications. This leads to increased efficiency, improved decision-making, and cost optimization across various industries. The market's segmentation, encompassing diverse application areas like environmental agencies, utility companies, and telecommunications, highlights its widespread utility. Furthermore, the geographical distribution across North America, Europe, Asia Pacific, and other regions underscores a global market with significant growth potential in both developed and emerging economies. Given the rapid technological advancements and increasing data availability, the GIS services market is projected to maintain a strong growth trajectory in the coming years, surpassing previous estimates for market size. We estimate the market size in 2025 to be approximately $15 Billion, with a conservative CAGR of 8% projected through 2033. This growth will be fueled by continued technological advancements and increasing reliance on data-driven decision making in various sectors. The competitive landscape is marked by a mix of established players and emerging technology providers. Companies like Intellias, EnviroScience, and Infosys BPM are leading the charge, leveraging their expertise in GIS technology and data analytics. The presence of numerous regional players also reflects the market's geographically diverse growth. The market's future growth will likely hinge on factors such as the development of more sophisticated GIS software and analytics tools, the increased adoption of cloud-based GIS solutions, and the continuous integration of GIS with other technologies like IoT and blockchain. Addressing potential restraints, such as high initial investment costs for some organizations, will be crucial for sustained market growth.

Space-Based Environmental Monitoring Market Outlook

The global space-based environmental monitoring market size was valued at USD 3.45 billion in 2023 and is projected to reach USD 7.83 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% during the forecast period. This remarkable growth can be attributed to several factors, including technological advancements, increasing awareness of climate change, and the growing need for accurate environmental data to inform policy and business decisions.

One of the primary growth factors driving the market is the increasing recognition of the critical role that space-based technologies play in monitoring and understanding EarthÂ’s systems. With climate change becoming a more pressing global issue, the demand for precise and comprehensive environmental data has surged. Governments, research institutions, and commercial entities are heavily investing in space-based monitoring technologies to track changes in climate patterns, atmospheric conditions, and other environmental parameters. These technologies offer unmatched accuracy and coverage, enabling stakeholders to make informed decisions aimed at mitigating the adverse effects of climate change.

Another significant growth driver is the advancements in satellite technology and remote sensing. Innovations in satellite imagery and Geographic Information Systems (GIS) have revolutionized the way environmental data is collected and analyzed. Modern satellites equipped with high-resolution sensors can capture detailed images and data on various environmental factors, such as air quality, water quality, and land use. These advancements have expanded the capabilities of space-based monitoring, making it possible to observe and analyze environmental changes with unprecedented detail and accuracy, thus fueling market growth.

The increasing collaboration between governments and private companies is also propelling market expansion. Public-private partnerships are becoming more common, with governments leveraging the expertise and innovation of private companies to develop and deploy advanced space-based monitoring systems. This collaboration not only accelerates the development of new technologies but also ensures their widespread adoption and implementation. Furthermore, funding and support from international organizations focused on environmental sustainability are providing additional momentum to the market.

Satellite-based Earth Observation Services are becoming increasingly integral to the space-based environmental monitoring market. These services provide critical data that enhances our understanding of Earth's systems by capturing high-resolution images and measurements from space. The ability to observe and analyze environmental changes from a satellite perspective allows for a comprehensive view of global phenomena, such as deforestation, urban expansion, and natural disasters. This capability is invaluable for governments and organizations aiming to implement effective environmental policies and strategies. By leveraging satellite-based Earth Observation Services, stakeholders can gain insights into the intricate dynamics of our planet, leading to more informed decision-making and proactive environmental management.

From a regional perspective, North America and Europe are leading the market due to their advanced technological infrastructure and significant investments in space-based monitoring initiatives. The Asia Pacific region is also emerging as a key player, driven by rapid industrialization, urbanization, and growing environmental concerns. These regions are investing heavily in space-based monitoring technologies to address environmental challenges and improve sustainability practices.

Technology Analysis

The technology segment of the space-based environmental monitoring market includes remote sensing, satellite imagery, GIS, and other technologies. Remote sensing is one of the most critical technologies in this sector, providing essential data for monitoring various environmental parameters. This technology uses electromagnetic radiation to detect and measure phenomena in the Earth's atmosphere and surface. Remote sensing allows for the continuous and comprehensive monitoring of environmental changes, offering valuable insights that are crucial for effective environmental management and policy-making.

Satellite imagery, another key technology, has seen

SCDHEC ArcGIS Hub - GIS Content and Core Team have ability to edit applications and data.

This layer shows the Best Management Practices for water pollution control located on West Chester University's campus. | Publication Date: April 2018, Last Updated: April 2018 | West Chester University’s Geography and Planning department upholds its mission to provide spatial analysis expertise in order to solve many problems regarding spatial applications that facilitates research, sustainability goals, planning and communal integration.This dataset was curated by West Chester University’s Department of Geography and Planning and presented using West Chester University's Open GIS Data.

The global Geographic Information System (GIS) Tools market, valued at $2979.7 million in 2025, is projected to experience robust growth, driven by increasing adoption across various sectors. The Compound Annual Growth Rate (CAGR) of 5.5% from 2025 to 2033 indicates a substantial market expansion. Key drivers include the rising need for spatial data analysis in urban planning, environmental management, and infrastructure development. The increasing availability of cloud-based GIS solutions, offering enhanced scalability and accessibility, further fuels market growth. Furthermore, advancements in data visualization and analytics capabilities within GIS tools are attracting a wider range of users. Segmentation reveals a significant market share held by large enterprises, reflecting the considerable resources and data management needs of these organizations. Cloud-based solutions dominate the market, reflecting the shift towards flexible and cost-effective technology deployments. While the market faces some restraints like the high initial investment costs associated with implementing GIS systems and the requirement for skilled personnel, the overall market outlook remains positive due to the expanding applications and technological advancements in the field. North America currently holds a significant market share, driven by high technological adoption rates and the presence of major GIS solution providers. However, the Asia-Pacific region is expected to witness substantial growth in the coming years due to increasing urbanization and infrastructure development initiatives in rapidly growing economies like China and India. The market's growth trajectory is also influenced by the evolving needs of various industry verticals. The application of GIS tools in precision agriculture, disaster management, and supply chain optimization is creating new opportunities for market expansion. The integration of GIS with other technologies, such as IoT and AI, is leading to the development of more sophisticated and insightful applications. This convergence is enabling real-time data analysis and predictive modeling, offering businesses and governments valuable insights for informed decision-making. The competitive landscape is characterized by a mix of established players and emerging startups, driving innovation and fostering competition, ultimately benefiting end-users with a diverse range of solutions and pricing models. The ongoing development of open-source GIS software is also creating a more accessible and collaborative environment within the ecosystem.

The global 4D Geographic Information System (GIS) market is valued at USD 1500 million in 2019 and is projected to reach USD 3346.5 million by 2033, at a CAGR of 10.3%. The increasing adoption of 4D GIS in environmental monitoring, urban planning, traffic monitoring, and military applications is driving the market growth. The rising demand for accurate and real-time data for decision-making and the advancements in sensor technology are further contributing to the market expansion. The market is segmented based on application into environmental monitoring, urban planning, traffic monitoring, military, and others. Environmental monitoring is the largest application segment, accounting for over 30% of the market share. The increasing awareness of environmental issues and the need for effective environmental management are driving the demand for 4D GIS in this sector. Urban planning is another significant application segment, with a market share of over 25%. The rapid urbanization and the need for efficient land-use planning are fueling the adoption of 4D GIS in this area. The market is also segmented by type into remote sensing 4D GIS and sensor-based 4D GIS. Remote sensing 4D GIS is the dominant type, with a market share of over 60%. However, sensor-based 4D GIS is expected to witness higher growth due to the increasing availability of low-cost sensors and the advancements in data processing capabilities.

This project involved a detailed topographic and land use survey in Center for Water Resources and Environmental Studies, countryside of São Carlos-SP, Brazil, employing advanced technologies like Metashape and Geographic Information Systems (GIS). The survey aimed to accurately map the terrain and assess land use patterns within the specified area. Utilizing Metashape for precise photogrammetry and GIS for spatial analysis, the project provided critical insights into the topographical features and land use. This data is essential for urban planning, environmental management, and future development initiatives in the region.

https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles * These folders supply supporting datasets for the manuscript "COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities." * The datasets are recorder as comma-separated values (.csv) and Microsoft Excel® (.xlsx) files. Column data entries have names and units. Some data are about animal facility population and location, amount of nutrient-rich waste generated (kg/yr), amount of nutrient recovered (kg P/yr), installing, capital, and maintenance costs (USD), technologies and their ranking and frequency of being selected for each combination of normalization-aggregation methods, average chlorophyll-a concentration in water in the watershed (ug/L), and average phosphorus concentration in water in the watershed (ug/L). * The folder “Manuscript” has subfolders with datasets for creating manuscript Figures 4, 8, 9, and 10 as well as datasets for Tables 9 and 10. * The folder “Supplementary Material” holds subfolders with datasets for creating Supplementary Material Figures 1-5, 8, 9, 11, and 12. This dataset is associated with the following publication: Martin-Hernandez, E., M. Martin, and G.J. Ruiz-Mercado. A geospatial environmental and techno-economic framework for sustainable phosphorus management at livestock facilities. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 175: 105843, (2021).

Nitrite+Nitrate data was compiled from data provided by different agencies around the Gulf of Mexico, research projects and cruises.

Data source: National Water Quality Monitoring Council (NWQMC), Environmental Protection Agency (EPA), United States Geological Survey (USGS), National Estuarine Research System (NERRS), Texas Commission on Environmental Quality (TCEQ), Florida Keys National Marine Sanctuary (FKNMS), National Park Water Services (NPWS), Louisiana Department of Environmental Quality (LDEQ), Louisiana Universities Marine Consortium (LUMCON), Mississippi Department of Environmental Quality (MDEQ), Alabama Department of Environmental Management (ADEM), Florida Department of Environmental Protection (FDEP) and Texas A&M University (TAMU).

The global Geographic Information System (GIS) market is projected to reach $108.77 billion by 2033, growing at a CAGR of 16.74% from 2025 to 2033. The market growth is attributed to the increasing adoption of GIS technology across various end-use industries, such as government, healthcare, manufacturing, retail, and transportation. The cloud segment is expected to witness significant growth, as it offers scalability, cost-effectiveness, and flexibility. Key drivers of the GIS market include the rising demand for location-based insights, smart city initiatives, and advancements in technology. The use of GIS in asset management, emergency response, environmental monitoring, land use planning, and transportation planning is expected to continue to drive market growth. However, the high cost of implementation and data management challenges may restrain market growth. Leading companies in the GIS market include TomTom International BV, Trimble, MapInfo Corporation, Hexagon AB, ESRI, and Safe Software Inc. Recent developments include: The Geographic Information System (GIS) market is projected to reach USD 96.0 billion by 2032, exhibiting a CAGR of 16.74% from 2023 to 2032. The increasing adoption of GIS technology in various industries, such as urban planning, environmental management, and transportation, is driving market growth. Recent advancements in cloud computing, artificial intelligence (AI), and the Internet of Things (IoT) are further expanding the capabilities of GIS systems, creating new opportunities for market expansion. Furthermore, the growing demand for location-based services and the need for real-time data analysis are expected to fuel market growth in the coming years. Key players in the GIS market include Esri, Hexagon AB, Trimble Inc., and SuperMap Software Co., Ltd.. Key drivers for this market are: Smart city development Precision agriculture Utility infrastructure management Environmental monitoring Disaster management. Potential restraints include: Rising Cloud Computing Adoption Advancements in Data Analytics Growing Infrastructure Projects Increased Geospatial Data Generation Expanding GIS Applications in Smart Cities.