Federal agencies and their partners collect and manage large amounts of place-based (geospatial) data – but it is often not easily found when needed, and sometimes data is collected or purchased multiple times. In short, the best government data is not always organized and managed efficiently to support decision making in a timely and cost effective manner. The Geospatial Platform is designed to provide that service and capability. The Geospatial Platform is an Internet-based capability providing shared and trusted geospatial data, services, and applications for use by the public and by government agencies and partners to meet their mission needs. The Geospatial Platform was developed by the member agencies of the Federal Geographic Data Committee (FGDC) through collaboration with partners and stakeholders. The target audience for the Geoplatform includes: Federal agencies, State, local, and Tribal governments, private sector, academia, non-governmental organizations, and the general public.

Disasters.GeoPlatform.Gov was developed by GeoPlatform and Federal Geographic Data Committee (FGDC) member agencies led by FEMA and the Department of Interior through collaboration with partners and stakeholders.The Geospatial Platform is an Internet‐based service environment that provides a suite of well-managed, highly available, and trusted geospatial data, services, applications, and tools for use by Federal agencies and their State, local, Tribal, and regional partners (FSLT) in fulfilling their missions. The Geospatial Platform focuses on web applications that facilitate participatory information and data sharing combining rich data resources with map authoring and publishing capabilities. It is designed to promote data sharing and collaborative solution development through interoperability, user-centered design, and collaboration on the web and is accessible from servers, desktops and mobile devices. The underlying data and services registration, search, and discovery catalog is jointly developed and managed between the Geospatial Platform and Data.gov, integrating capabilities and process steps in support of broad government data and information use.

The GeoPlatform provides shared and trusted geospatial data, services, and applications for use by the public and by government agencies and partners to meet their mission needs. Through the GeoPlatform, users have access to - A one-stop shop to deliver trusted, nationally consistent data and services - Authoritative data to support informed decision making - Problem-solving applications and services that are built once and can be used many times across multiple Federal agencies and other organizations - A shared infrastructure to host data and applications - A national and Federal focal point where governmental, academic, private, and public data and applications can be visualized together to inform and address national and regional issues

The Geographic Information Systems (GIS) Platform market is experiencing robust growth, projected to reach a market size of $4078.2 million in 2025. While the provided CAGR is missing, considering the widespread adoption of GIS across various sectors like government, utilities, and commercial businesses, coupled with advancements in cloud-based GIS and increasing demand for spatial analytics, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 would be around 7-9%. This suggests a significant expansion of the market over the forecast period. Key drivers include the rising need for efficient resource management, improved infrastructure planning, precise location-based services, and the growing adoption of big data analytics combined with location intelligence. The market is segmented by type (Desktop GIS, Web Map Service GIS, Others) and application (Government & Utilities, Commercial Use), reflecting the diverse applications of GIS technology. Leading players like Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap are shaping the market landscape through continuous innovation and strategic partnerships. The North American market currently holds a significant share due to high technology adoption and substantial investments in GIS infrastructure, but rapid growth is anticipated in Asia Pacific regions like China and India driven by urbanization and infrastructure development. The increasing availability of affordable high-resolution imagery and data fuels further expansion. The continued integration of GIS with other technologies like AI and IoT is expected to unlock new applications and further drive market growth. Challenges include the high initial investment costs for sophisticated GIS solutions, the need for skilled professionals to manage and interpret data, and ensuring data security and privacy. However, the benefits of improved decision-making, optimized resource allocation, and enhanced operational efficiency are expected to outweigh these challenges, contributing to the sustained expansion of the GIS Platform market throughout the forecast period. The market's future trajectory remains positive, fueled by technological advancements and the increasing reliance on location intelligence across various industries.

Locations of Native Villages in Alaska occupied by Federally Recognized Tribal Entities according to 2016 Federal Register.

Geographic Information Systems Platform Market Outlook

The global Geographic Information Systems (GIS) Platform Market size is projected to reach remarkable heights with an estimated value of USD 12 billion in 2023 and is expected to balloon to over USD 25 billion by 2032, reflecting a robust Compound Annual Growth Rate (CAGR) of 8%. This impressive growth trajectory is largely driven by the increasing demand for location-based services across various industries, including urban planning, transportation, and agriculture. As the world becomes increasingly interconnected, the necessity for real-time location data and advanced mapping solutions has never been more crucial, thereby fuelling the expansion of the GIS platform market.

One significant growth factor for the GIS platform market is the rapid urbanization occurring on a global scale. With more than half of the world's population now living in urban areas, cities are becoming larger and more complex. This trend necessitates sophisticated urban planning solutions that can effectively map, analyze, and visualize urban growth patterns. GIS platforms provide critical tools that enable urban planners to make informed decisions about land use, transportation networks, and infrastructure development. By integrating geographic data with socio-economic data, GIS applications help cities manage resources more efficiently and sustainably, thus driving the market forward.

Another driver of growth in the GIS platform market is the escalating need for effective disaster management solutions. Natural disasters such as hurricanes, earthquakes, and floods are becoming more frequent and severe, posing significant challenges for governments and emergency services worldwide. GIS platforms enable authorities to predict, prepare for, and respond to these disasters more effectively by providing detailed maps and models that can simulate potential scenarios and outcomes. The ability to integrate real-time data with historical records allows emergency response teams to optimize resource allocation and logistics, minimizing the impact of disasters on human lives and infrastructure.

The transportation and logistics sector is also a significant contributor to the growth of the GIS platform market. As global trade and e-commerce continue to grow, the demand for efficient and reliable transportation networks is increasing. GIS platforms provide valuable insights into route optimization, traffic management, and supply chain logistics. By enabling companies to analyze geographic data, GIS applications help to reduce transportation costs, improve delivery times, and enhance overall supply chain efficiency. As businesses increasingly look to leverage location-based data to gain a competitive advantage, the GIS platform market is set to experience sustained growth.

The role of a GIS Controller is becoming increasingly vital as the GIS platform market expands. A GIS Controller is responsible for overseeing the integration and management of geographic data within an organization, ensuring that the data is accurate, up-to-date, and accessible. This role involves coordinating with various departments to implement GIS solutions that align with organizational goals and enhance decision-making processes. As organizations across industries recognize the value of geographic data, the demand for skilled GIS Controllers is on the rise. These professionals play a crucial role in optimizing the use of GIS technology, enabling organizations to leverage location-based insights for strategic advantage.

Regionally, North America is anticipated to dominate the GIS platform market due to its advanced technological infrastructure and high adoption rates among various industries. The presence of leading GIS service providers in this region further bolsters its market position. Additionally, Asia Pacific is projected to witness the fastest growth over the forecast period, driven by rapid urbanization and increasing government initiatives to integrate GIS technology into urban planning and disaster management. The Middle East & Africa and Latin America are also expected to emerge as lucrative markets, as these regions look to harness the potential of GIS platforms to address their unique geographic challenges and drive economic development.

Component Analysis

The GIS platform market can be divided into three primary components: software, hardware, and services. Each of these segments plays a vital role in the overall functionality and adap

The purpose of this document is to show you steps to configure a WMS Layer from Geoplatform (Geonode) within ArcMap.

Geo-Analytics SaaS Platform Market Outlook

According to our latest research, the global Geo-Analytics SaaS Platform market size reached USD 5.6 billion in 2024, demonstrating robust growth driven by the increasing demand for spatial data analytics across industries. The market is projected to expand at a CAGR of 18.1% from 2025 to 2033, reaching a forecasted value of USD 28.4 billion by 2033. This remarkable growth trajectory is primarily fueled by the rapid adoption of cloud-based geospatial analytics solutions, the proliferation of IoT devices, and the growing emphasis on real-time location intelligence for business decision-making.

One of the primary growth factors propelling the Geo-Analytics SaaS Platform market is the surging need for advanced location intelligence across various sectors. Organizations are increasingly leveraging geo-analytics platforms to gain actionable insights from spatial data, enabling them to optimize operations, enhance customer experiences, and drive competitive advantage. The integration of AI and machine learning algorithms within these platforms has further amplified their analytical capabilities, allowing for predictive analytics and more accurate forecasting. As businesses continue to embrace digital transformation, the deployment of geo-analytics solutions has become essential for informed decision-making and strategic planning.

Another significant driver is the rising adoption of cloud-based deployment models. Cloud-based geo-analytics SaaS platforms offer unparalleled scalability, flexibility, and cost-efficiency, making them highly attractive to organizations of all sizes. These platforms eliminate the need for extensive on-premises infrastructure, reduce maintenance costs, and provide seamless access to real-time geospatial data from anywhere in the world. The shift towards cloud computing has also facilitated easier integration with other enterprise applications, such as ERP and CRM systems, further expanding the utility and adoption of geo-analytics solutions across industries.

The expanding application landscape of geo-analytics is also contributing to market growth. Industries such as transportation, logistics, retail, BFSI, healthcare, and government are increasingly utilizing geo-analytics for a wide range of use cases, including asset tracking, risk management, supply chain optimization, and urban planning. The ability to visualize and analyze spatial data in real-time has become a critical enabler for operational efficiency and strategic decision-making. Moreover, the ongoing advancements in geospatial data collection technologies, such as drones, satellites, and IoT sensors, are providing richer data sets for analysis, further enhancing the value proposition of geo-analytics SaaS platforms.

Regionally, North America continues to lead the global Geo-Analytics SaaS Platform market, accounting for the largest revenue share in 2024. The region's dominance is attributed to the high concentration of technology-driven enterprises, advanced IT infrastructure, and significant investments in smart city initiatives. Europe and Asia Pacific are also witnessing rapid growth, driven by increasing digitalization efforts, government initiatives for urban development, and the rising adoption of location-based services. Emerging markets in Latin America and the Middle East & Africa are gradually catching up, supported by growing awareness and investments in geospatial technologies.

Component Analysis

The Component segment of the Geo-Analytics SaaS Platform market is broadly categorized into Software and Services. Software solutions form the backbone of geo-analytics platforms, offering a comprehensive suite of tools for data visualization, spatial analysis, and predictive modeling. These software solutions are continuously evolving, with vendors integrating advanced features such as artificial intelligence, machine learning, and real-time analytics to enhance functionality. The growin

A global reference dataset on cropland was collected through a crowdsourcing campaign implemented using Geo-Wiki. This reference dataset is based on a systematic sample at latitude and longitude intersections, enhanced in locations where the cropland probability varies between 25-75% for a better representation of cropland globally. Over a three week period, around 36K samples of cropland were collected. For the purpose of quality assessment, additional datasets are provided. One is a control dataset of 1793 sample locations that have been validated by students trained in image interpretation. This dataset was used to assess the quality of the crowd validations as the campaign progressed. Another set of data contains 60 expert or gold standard validations for additional evaluation of the quality of the participants. These three datasets have two parts, one showing cropland only and one where it is compiled per location and user. This reference dataset will be used to validate and compare medium and high resolution cropland maps that have been generated using remote sensing. The dataset can also be used to train classification algorithms in developing new maps of land cover and cropland extent.

Abstract: The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Use the metadata link, http://nhdgeo.usgs.gov/metadata/nhd_high.htm, for additional information. Purpose: The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.

The Mitigation Planning Portal (MPP) is an online platform for tracking and reporting mitigation plans and related data elements across all ten Federal Emergency Management Agency (FEMA) Regions. rnrnDataset is used to identify mitigation plans across states and regions.rnrnDatapoints include links to mitigation plans for each state (a separate excel file of state links is held on local drive).

The LAGOS-US GEO data package is one of the core data modules of LAGOS-US, an extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The GEO module contains data on the geospatial and temporal ecological setting (e.g., land use, terrain, soils, climate, hydrology, atmospheric deposition, and human influence) quantified at multiple spatial divisions (e.g., equidistant buffers around lakes, watersheds, hydrologic basins, political boundaries, and ecoregions) relevant to the LAGOS-US lake population defined in the LAGOS-US LOCUS module. The database design that supports the LAGOS-US research platform was created based on several important design features: lakes are the fundamental unit of consideration, all lakes in the spatial extent above the minimum size must be represented, and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other two core data modules that are part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of lakes and their watersheds) and LIMNO (in situ lake physical, chemical, and biological measurements through time) that are each found in their own data packages.

This dataset is a polygon shapefile representing the most recent update of the coal fields of the conterminous United States. Scale of data is 1:5,000,000. This publication is based on a USGS paper map that was a representation of the coal fields and major regions of the time (Trumbull, 1960). Trumbull's 1960 map was digitized and coal fields from the Gulf Coast were added to create USGS OFR 96-92, Coal Fields of the Conterminous United States (Tully, 1996). Tully's (1996) publication consisted of a map in pdf format that could be printed, and an ArcInfo coverage of the coal fields, attributed with rank and potential economic use (minability) of the coal. This new dataset includes a pdf showing updated coal fields and a shapefile that contains attributes on coal rank (without regard to outdated economic standards), province, name, and age. The data used to update Tully's (1996) digital map was collected from the National Coal Resource Assessment (NCRA) regional Professional Papers produced by the USGS and from AAPG Discovery Series 14/Studies in Geology 62, all of which were conducted by USGS geologists and professional staff. A small number of field names were added and or updated in the western states of Washington, Oregon, California, Utah, Colorado and New Mexico using additional coal resource literature.The full study is available from USGS: https://doi.org/10.3133/ofr20121205

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Delivery of program services to the federally recognized tribes and individual Indians and Alaska Natives, whether directly or through contracts, grants or compacts, is administered by the twelve regional offices and 83 agencies that report to the BIA Deputy Director-Field Operations, located in Washington, D.C.Each regional office is headed by a Regional Director who is responsible for all Bureau activities within a defined geographical area except education, law enforcement and functions of an administrative nature. The typical Regional Office includes a Deputy Regional Director for Trust Services and Deputy Regional Director for Indian Services.The Deputy Regional Director for Trust Services oversees a staff of specialists responsible for natural resources (water resources, forestry and fire, irrigation and safety of dams), agriculture, (farm, pasture, and range), fish, wildlife and parks and real estate services (land acquisition and disposal land title records office, probate, rights-of-way, and lease/permit).The Deputy Regional Director for Indian Services oversees a staff of specialists responsible for transportation (planning, design, construction, and maintenance) and Indian services (tribal governments, human services, housing improvement).The twelve regional offices are located in the heart of Indian Country with the agencies located at the reservation level.

Refine.bio survey list generator required CSV, tediously exported manually from GEO web interface.

Ex:

$ head accessions/Illumina\ HiSeq\ 2000.csv

"Experiment Accession","Experiment Title","Organism Name","Instrument","Submitter","Study Accession","Study Title","Sample Accession","Sample Title","Total Size, Mb","Total RUNs","Total Spots","Total Bases","Library Name","Library Strategy","Library Source","Library Selection"
"SRX4195895","4","Homo sapiens","Illumina HiSeq 2000","Kolling Institute, The University of Sydney","SRP150290","RET-altered microRNAs in MTC","SRS3406604","","370.5","1","15916120","795806000","4","miRNA-Seq","TRANSCRIPTOMIC","unspecified"
"SRX4195894","3","Homo sapiens","Illumina HiSeq 2000","Kolling Institute, The University of Sydney","SRP150290","RET-altered microRNAs in MTC","SRS3406603","","362.43","1","16021366","801068300","3","miRNA-Seq","TRANSCRIPTOMIC","unspecified"
"SRX4195893","6","Homo sapiens","Illumina HiSeq 2000","Kolling Institute, The University of Sydney","SRP150290","RET-altered microRNAs in MTC","SRS3406602","","407.58","1","18432342","921617100","6","miRNA-Seq","TRANSCRIPTOMIC","unspecified"
"SRX4195892","5","Homo sapiens","Illumina HiSeq 2000","Kolling Institute, The University of Sydney","SRP150290","RET-altered microRNAs in MTC","SRS3406605","","347.33","1","16162471","808123550","5","miRNA-Seq","TRANSCRIPTOMIC","unspecified"

This map layer includes sand and gravel operations in the United States. These data were obtained from information reported voluntarily to the USGS by the aggregate producing companies. The data represent commodities covered by the Minerals Information Team (MIT) of the U.S. Geological Survey, and the operations are those considered active in 2002 with production greater than 50,000 tons, which are non-government, non-portable, and surveyed by the MIT. This is a replacement for the January 2001 map layer.

The market size of the Geographic Information Systems Platform Market is categorized based on Software (Desktop GIS, Web GIS, Mobile GIS, Geospatial Data Management, Spatial Analysis) and Services (Consulting, System Integration, Training, Support & Maintenance, Cloud Services) and Hardware (GIS Workstations, GPS Devices, Drones for GIS, Data Acquisition Devices, Storage Devices) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The Mobile Home Parks feature class/shapefile contains locations that represent mobile home, residential trailer, and recreational vehicle (RV) parks within the Continental United States and Alaska. The people residing in these housing types are the most vulnerable residential population to hurricanes, tornadoes, flooding and other natural disasters. According to the U.S. Census Bureau, 31% of the people that perished in tornadoes between 2009 and 2011 were residing in or fleeing from mobile homes. An inventory of mobile home park locations and the number of mobile homes within those parks is, therefore, essential for emergency preparedness, response, and evacuation. In the latest update 2281 records were added.

The statistic presents information on the number of National Geographic readers in the United States in March 2015, by platform. The magazine reached **** million readers over the mobile web.