A mesh of regular hexagons is created using a geoprocessing tool (https://www.arcgis.com/home/item.html?id=03388990d3274160afe240ac54763e57). This tool creates a mesh of hexagons overlapping a study area. The study area is the Gulf of Mexico region for GCOOS. The data is available at https://gis.gcoos.org/arcgis/rest/services/Boundary/GoM_Regions/MapServer

Shows ACE project hexagons with no documented rare species occurrences (as of 12/2009), likely representing areas of limited survey data. Biological index values in these areas may be artificially low due to lack of data.

Information derived from geojson provided by Hexagon. Use the Name, Resolution, and/or Year fields to subset the various products.

2.5 square mile hexagon grid across the state of California. Hexagons were clipped to the Clifornia state boundary. Ecological region sections designations, and county.

Extent boundaries for sets of Hexagon (HxGN) imagery made available through State of California Department of Technology Agreement STP-SW-IDS-20-L3H. Since some services provided by HxGN include multiple sets of imagery, this layer will help users determine where the sets are located geographically. To create this layer, the California Department of Fish and Wildlife subsetted a larger layer provided by Hexagon. This extent layer has no access constraints but per the Agreement, the imagery has the following constraints: "The following entities shall be allowed unlimited access licenses to the imagery provided under this contract: 2.1. All State Government Agencies, Public Entities, and Regents-level institutions including all University of California and California State University institutes. 2.2. All County-level governments. 2.3. All Municipal (city) governments. 2.4. All Public Safety Answering Points. 2.5. Any subcontractor or organization holding an active contract to conduct work on behalf of the entities identified in 2.1 through 2.4 above."

Analysis of ‘Citywide Hexagon Grid (1000ft)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4412e319-f0e0-4c62-a625-6e117567296d on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This is a hexagonal grid which can be used for spatial aggregation and analysis of data in the City of Austin. Each hexagon has an edge length of 1,000ft.

It was created using the City's geojson grid creation tool, available here: https://cityofaustin.github.io/geojson-grid

Read more about hexagonal sampling, here: https://gis.stackexchange.com/questions/82362/what-are-the-benefits-of-hexagonal-sampling-polygons

--- Original source retains full ownership of the source dataset ---

The Geographic Information System (GIS) software market is projected to expand significantly, with a market size of XXX million in 2025 and a CAGR of XX% during the forecast period of 2025-2033. The growing adoption of GIS technology across various industries, including urban planning, environmental management, and transportation, is driving market growth. Additionally, the increasing availability of spatial data and the advancements in cloud computing and mobile GIS are further fueling market expansion. Key trends in the GIS software market include the rise of web-based GIS platforms, the integration of artificial intelligence (AI) and machine learning (ML) capabilities, and the growing popularity of open-source GIS solutions. North America and Europe are the major markets for GIS software, while the Asia Pacific region is expected to witness significant growth in the coming years. Major players in the GIS software market include Esri, Hexagon, Pitney Bowes, SuperMap, Bentley Systems, GE, GeoStar, and Zondy Cyber Group. These companies offer a wide range of GIS software products and services to meet the varying needs of different industries and organizations.

Vermont extract of Uber's H3 Hexagonal Hierarchical Spatial Index, at resolution level 9, approximately 0.2 km per edge, for indexing locations. Extracted from Uber's dataset at https://eng.uber.com/h3/ via FME's H3HexagonalIndexer transformer, for all filling indexes within and intersecting with the Vermont State Boundary in July 2022.Field Descriptions:_h3index / H3 INDEX: Uber-assigned unique identifier per each individual hexagon at any resolution level._h3res / H3 RESOLUTION LEVEL: Uber-assigned index resolution level between 0 and 15, with 0 being coarsest and 15 being finest.

Market Size and Drivers: The global Mobile GIS market is anticipated to witness a significant growth, reaching a market size of XXX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). The increasing adoption of mobile devices, advancements in cloud computing, and the need for real-time location data for decision-making are driving market growth. Governments and enterprises are leveraging Mobile GIS for various applications, including disaster management, asset tracking, resource planning, and customer service. Trends and Restraints: Key trends influencing the Mobile GIS market include the adoption of augmented reality (AR) and virtual reality (VR), the integration of artificial intelligence (AI) for data analysis, and the development of low-cost, high-accuracy mobile devices. However, factors such as data security concerns, device compatibility issues, and the need for robust infrastructure can restrain market growth. Additionally, the market is segmented based on type (on-premise, on-cloud), application (government, enterprises, others), and region. Major players in the market include ESRI, Google Maps, Bing Maps, SuperMap, Zondy Crber, GeoStar, Hexagon Geospatial, CARTO, GIS Cloud, and others.

A mesh of regular hexagons is created using a geoprocessing tool (https://www.arcgis.com/home/item.html?id=03388990d3274160afe240ac54763e57). This tool creates a mesh of hexagons overlapping a study area. The study area is the Gulf of Mexico region for GCOOS. The data is available at https://gis.gcoos.org/arcgis/rest/services/Boundary/GoM_Regions/MapServer

In an effort to integrate information from a wide range of data sets into a single spatially referenced grid that can be used as an annotated spatial index of data layers, facilitate data discovery, and enhance research, personnel at the Kansas Biological Survey at the University of Kansas developed the Nested Hexagon Framework (NHFv2). The NHFv2 is comprised of four nested spatial scale mapping units (1 km2 Hexagons, 7 km2 Cogs, 49 km2 Wheels, and 343 km2 Rings) and currently covers all of North and Central America, with the potential to be expanded to other global extents due to its unique hierarchical number system and spatial tiling based around 5 degree by 5 degree latitude and longitude tiles. Data can be referenced to any of the spatial scales (hex, cog, wheel, ring) depending on the spatial precision and/or sensitivity of the data. The NHFv2 allows for the sharing of information without revealing the raw spatial data or precise spatial locations so that users can quickly get a summary of the features and conditions present in a given cell. The original version of the NHF had a similar nested structure, but was based around mapping cells using miles instead of kilometers. To be better suited for scientific integration and international applications, the process framework was rebuilt around a one square kilometer hexagon grid and renamed as NHFv2 to keep it distinct.

CDFW BIOS GIS Dataset, Contact: Melanie Gogol-Prokurat, Description: Terrestrial Irreplaceability represents the relative importance of each hexagon based on the uniqueness of habitat areas present for California rare endemic and near-endemic species. Hexagons with a high irreplaceability weight contain species or habitat conditions that occur in few places in the landscape. These areas may be of high conservation value due to their unique contribution to biodiversity.

pH 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 size of the Asia Pacific GIS market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 9.08% during the forecast period.Geographic Information Systems are very powerful tools for capturing, storing, analyzing, and visualizing geographic data. The technology integrates maps with databases that assist organizations in understanding spatial relationships, patterns, and trends. Applications can be found across a broad spectrum of industries, such as urban planning, environmental management, agriculture, and public health.Asia Pacific is growing most rapidly in the regions relevant to the global market for Asia Pacific GIS. Growth is encouraged by factors like increasing levels of urbanization, increased infrastructures investments, and growth levels of awareness about GIS and what benefits it can offer to any organization. Lately, with the advancement of GIS technology like GIS solutions offered both on cloud and mobile environment has made access and usabilities much easier to the organizations.The applications of GIS in solving problems such as disaster management and climate change in the Asia Pacific region have become incredibly extensive. Examples of using GIS include mapping flood-prone areas, monitoring deforestation, and improving transportation networks. The greater the environmental and social challenge that faces this developing region, the more GIS is going to play a significant role in the discovery of meaningful insights for the guidance of informed decisions. Recent developments include: February 2024 - John Deere announced a strategic partnership with Hexagon’s Leica Geosystems to accelerate the digital transformation of the heavy construction industry. John Deere and Hexagon joined forces to bring cutting-edge technologies and solutions to construction professionals worldwide., January 2024 - BlackSky Technology Inc. won a first-in-class contract to support the Indonesian Ministry of Defence (MoD), supplying Gen-3 earth observation satellites, ground station capabilities, and flight operations support. BlackSky also won a multi-year contract to support the MoD in the supply of assured subscription-based real-time imagery (RTI) and analytics services. The multi-year contract was won by BlackSky Technology Inc. in partnership with Alenia Space, a subsidiary of Thales Group, to supply Assured subscription-based RTI and analytics services to the Indonesian Ministry of Defense. The total value of the two contracts is approximately USD 50 million.. Key drivers for this market are: Ease of Convenience of Shoppers Elevated Through No Traveling and Simpler Access Across Global Borders, Higher Return on Investment. Potential restraints include: Incidents of Fraudulent Transactions and Cyber Crime, Opening of Physical Spaces, Galleries, and Auctions Impacting Online Sales. Notable trends are: Cloud Deployment Segment to Hold Significant Market Share.

As part of the operation of its Geographic Information System, based on Intergraph products (Hexagon AB), the GIS Mission of Lorient Agglomeration wished to finalise the implementation of its Track Wired Repository type BD Routes Addresses, throughout its territory for use for various applications. These data will be a very useful reference base for the services and municipalities of Lorient Agglomération. Its uses will be diverse: Integration into GIS (Base PostGIS); Use in the Intranet, Extranet, Lorient Agglomeration website; For business applications; Realisation of city plans etc. Lorient Agglomeration has a “tracks” repository. It is a wired (stucles) and punctuals that allow at least: Identification of track axes (name, federality,...),

The State of Alaska, Division of Geological & Geophysical Surveys is growing an Alaska Radon Database that contains radon test results from buildings located in communities all over the State. This map contains four layers of hexagons displaying test-result statistics at the scales of 1,024, 256, 64, and 16 square kilometers. These layers display in turn as you zoom into the map. Hexagons are colored based on the average (mean) of the indoor-air radon test results that are located in each hexagon. Where multiple test results are available at an individual test location (building), the maximum value is used. As of September 30, 2019, test results were available for 1,737 individual buildings statewide. Hexagons containing fewer than 10 results are labelled with “LC”, meaning “Low Count”. Hexagons may be selected to show additional statistics.radon_observations_hexagons_multiscale: Hexagons are colored based on the average (mean) of the indoor-air radon test results that are located in each hexagon. Where multiple test results are available at an individual test location (building), the maximum value is used. As of September 30, 2019, test results were available for 1,737 individual buildings statewide. Hexagons containing fewer than 10 results are labelled with “LC”, meaning “Low Count”. Hexagons may be selected to show additional statistics.More information is available at http://dggs.alaska.gov/hazards/radon.html.

The Software Geographic Information Systems (GIS) market is thriving, with a market size of XXX million in 2025 and a CAGR of XX% projected for the period of 2025-2033. Digitalization, increasing demand for spatial data and analytics, and advancements in cloud computing and data storage are the primary drivers of this growth. Furthermore, the incorporation of GIS in various sectors such as disaster management, land information management, and infrastructure management is contributing to the market's expansion. Key trends shaping the market include the rise of mobile and cloud-based GIS, the integration of artificial intelligence and machine learning for enhanced data analysis, and the adoption of open-source GIS platforms. Despite these growth factors, challenges such as data privacy concerns, a lack of skilled GIS professionals, and budgetary constraints for implementing GIS solutions may hinder market expansion. Key players in the market include Pasco Corporation, Ubisense Group, Beijing SuperMap Software, Hexagon, and Schneider Electric, among others. North America holds a significant market share, followed by Europe and Asia Pacific.

This data set is an intersection of 694 vector polygon ranges in the California Wildlife Habitat Relationships (CWHR) System with a statewide grid of 25 square mile hexagon cells. The shapefile contains the hexagon cells and their i.d. numbers (HEX25_ID). The polygon range GIS layers used for the intersection were the same layers as those that appeared in Version 8.2 of the CWHR System software. Both the ranges and the system software have since been updated and are available for download from our CWHR web page at https://www.wildlife.ca.gov/Data/CWHRThe hexagon analysis is being rerun with the newly updated ranges and will replace the currently available hexagon layers as soon as they are complete. The individual range layers are also available through our BIOS Map Viewer https://www.wildlife.ca.gov/Data/BIOS

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.