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Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.
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eXtension Foundation, the University of New Hampshire, and Virginia Tech have developed a mapping and data exploration tool to assist Cooperative Extension staff and administrators in making strategic planning and programming decisions. The tool, called the National Extension Web-mapping Tool (or NEWT), is the key in efforts to make spatial data available within cooperative extension system. NEWT requires no GIS experience to use. NEWT provides access for CES staff and administrators to relevant spatial data at a variety of scales (national, state, county) in useful formats (maps, tables, graphs), all without the need for any experience or technical skills in Geographic Information System (GIS) software. By providing consistent access to relevant spatial data throughout the country in a format useful to CES staff and administrators, NEWT represents a significant advancement for the use of spatial technology in CES. Users of the site will be able to discover the data layers which are of most interest to them by making simple, guided choices about topics related to their work. Once the relevant data layers have been chosen, a mapping interface will allow the exploration of spatial relationships and the creation and export of maps. Extension areas to filter searches include 4-H Youth & Family, Agriculture, Business, Community, Food & Health, and Natural Resources. Users will also be able to explore data by viewing data tables and graphs. This Beta release is open for public use and feedback. Resources in this dataset:Resource Title: Website Pointer to NEWT National Extension Web-mapping Tool Beta. File Name: Web Page, url: https://www.mapasyst.org/newt/ The site leads the user through the process of selecting the data in which they would be most interested, then provides a variety of ways for the user to explore the data (maps, graphs, tables).
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The booming GIS Mapping Tools market is projected to reach $45 billion by 2033, driven by cloud adoption and AI. Explore market trends, key players (Esri, Autodesk, Hexagon), and regional growth in this comprehensive analysis.
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TwitterThis site is part of pilot effort at the US Department of Energy (DOE) - Office of NEPA Policy and Compliance to evaluate providing IT web services as a shared service, hosted on the cloud, and using only Free and Open Source Software (FOSS). The site is an integrated component of the larger NEPAnode project but is a stand alone service. The site allows users to upload static map images with no geographic data so that they can be accurately referenced/rectified on an webmap. This site allows for the revitalizing of otherwise unusable/archived maps such as historic maps, site surveys, site plans, etc. turning them into usable geographic data which is subsequently made available as a KML file for use in Google Earth/Maps and as a Web Mapping Service (WMS) for using in web-based webmapping application such as NEPAnode or in desktop GIS software.
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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.
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TwitterIn 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Coal Oil Point map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore Coal Oil Point map area data layers. Data layers are symbolized as shown on the associated map sheets.
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Discover the booming GIS Mapping Tools market! Explore key trends, growth drivers, and leading companies in this $15 billion industry projected to reach $28 billion by 2033. Learn about cloud-based solutions, regional market shares, and the future of geographic information systems.
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This course demonstrates how to select, modify, create, and share web applications using ArcGIS Online. ArcGIS Online offers many different options for creating web applications that share web maps, web scenes, and spatial functions. But how do you decide which web application best meets your requirements? Each web application option implements different functions and showcases a specific look and feel. You can choose a web application that meets your organization's functional requirements, apply your organization's look and feel, and share your web map without writing any code.Two workflows will be introduced for creating web applications using ArcGIS Online:Applying your web map to an existing template applicationCreating your own web application using Web AppBuilder for ArcGISAfter completing this course, you will be able to do the following:Identify the components of a web application.Create a web application from an existing configurable app template.Create a web application using Web AppBuilder for ArcGIS.Use ArcGIS Online to deploy a web application.
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information presented is based on available data in public databases and
spatial layers. The database information
will only be updated as feedback is given, and research is conducted. The
spatial layers are periodically updated but be aware that data shown on
these maps may not be current. The TMK
layer used is available to the public at the Hawaii Geospatial Portal and 'https://planning.hawaii.gov/gis/download-gis-data/' target='_blank' rel='nofollow ugc noopener noreferrer'>Hawaii
Statewide GIS Program.
Developers targeting DoD lands should contact the appropriate DoD services (US Air Force, US Army, US Marines, US Navy) for a local point of contact AND contact the DoD energy siting clearinghouse (for all projects) at https://www.acq.osd.mil/dodsc or DoDSitingClearinghouse@osd.mil.
For more information, and / or to report inaccuracies or provide input, please email dbedt.hseo.reb@hawaii.gov or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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TwitterThe data depicted in the Wilson County GIS was prepared solely for the purpose of inventory and representation of the Wilson County Cadastre and its source documents and should not be used for any other purpose. The information contained herein was compiled from previously georeferenced data and/or public records, and these primary sources must be consulted for verification of the information contained in this map. This GIS data is not intended to indicate the authoritative location of property boundaries, shape or contour of the earth, or fixed works. GIS maps are not surveys and do not meet the minimum accuracy standards of a Land Information System/Geographic Information System Survey in North Carolina (21 NCAC 56.1608).
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TwitterTIGERweb allows the viewing of TIGER spatial data online and for TIGER data to be streamed to your mapping application. TIGERweb consists of a web mapping service and a REST service.
Thew web mapping service is an Open Geospatial Consortium (OGC) service that allows users to visualize our TIGER
(Topologically Integrated Geographic Encoding and Referencing database) data. This service consists of two
applications and eight services. The applications allow users to select features and view their attributes, to search
for features by name or geocode, and to identify features by selecting them from a map. The TIGERweb applications are a
simple way to view our TIGER data without having to download the data. The web Mapping services provide a simple HTTP
interface for requesting geo-registered map images from our geospatial database. It allows users to
produce maps containing TIGERweb layers with layers from other servers. TIGERweb consists of
the following two applications and eight services:
Applications: TIGERweb, TIGERweb Decennial
Services: Current, ACS16, ACS15, ACS14, ACS13, Econ12, Census 2010 (for the TIGERweb application), Physical Features (for the TIGERweb application),
Census 2010 (for the TIGERweb Decennial application), Census 2000 and Physical Features (for the TIGERweb Decennial application)
The REST service is a way for Web clients to communicate with geographic information system (GIS) servers through Representational
State Transfer (REST) technology. It allows users to interface with the REST server with structured URLs using a computer language like PYTHON or JAVA. The
server responds with map images, text-based geographic information, or other resources that satisfy the request. There are three groups of services:
TIGERweb, TIGERweb Generalized and TIGERweb Decennial. TIGERweb consists of boundaries as of January 1, 2016 while TIGERweb Decennial consists of boundaries
as they were of January 1, 2010. TIGERweb Generalized is specifically designed for small-scale thematic mapping.
The following REST services are offered for both groups:
American Indian, Alaska Native, and Native Hawaiian Areas
Census Regions and Divisions
Census Tracts and Blocks
Legislative Areas
Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas
Places and County Subdivisions
PUMAs, UGAs and ZCTAs
School Districts
States and Counties
Urban Areas
The following services are only offered in TIGERweb and TIGERweb Decennial:
Hydrography
Labels
Military and Other Special Land Use Areas
Transportation (Roads and Railroads)
Tribal Census Tracts and Block Groups
The following services is only offered in TIGERweb Generalized:
Places and County Subdivisions (Economic Places)
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TwitterThe GIS Web Mapping Application is design to have the look and feel as Google Earth. The primary functionality is to provide the user information about FRA's rail lines, rail crossings, freight stations, and mileposting.
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The geographical mapping software market is experiencing robust growth, driven by increasing demand across diverse sectors. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions for enhanced accessibility and collaboration, the growing need for precise location data in various applications, and the increasing integration of GIS technology with other analytical tools. Applications such as geological exploration, water conservancy projects, and urban planning are major contributors to market growth, benefiting from the ability to visualize and analyze spatial data efficiently. While the market faces certain restraints, such as the high initial investment costs associated with some software solutions and the need for specialized expertise, these are being mitigated by the emergence of more affordable and user-friendly options, as well as increased training and educational resources. The market is segmented by application (Geological Exploration, Water Conservancy Project, Urban Plan, Others) and type (Cloud Based, Web Based), with cloud-based solutions gaining significant traction due to their scalability and cost-effectiveness. Major players in the market, including Esri, Autodesk, Mapbox, and others, are continuously innovating and introducing new features to cater to the evolving needs of their customers. This competitive landscape ensures continuous improvement in software capabilities and affordability, further propelling market expansion. The geographical distribution of this market is broad, with North America and Europe currently holding significant market shares due to established infrastructure and high adoption rates. However, the Asia-Pacific region is exhibiting particularly rapid growth, driven by increasing urbanization, infrastructure development, and government initiatives promoting the use of GIS technologies. This regional shift indicates significant future growth potential in emerging markets. The forecast period of 2025-2033 suggests continued expansion, with a projected CAGR reflecting the sustained demand across different geographical regions and application areas. While precise figures are unavailable, based on industry trends and available data, a conservative estimate for the current market size would place it in the high hundreds of millions of dollars, with steady and significant growth anticipated.
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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.
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Discover the booming geographical mapping software market! This in-depth analysis reveals key trends, growth drivers, regional insights, and leading companies shaping the future of geospatial technology. Learn about market size, CAGR, and top applications in urban planning, geological exploration, and more.
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TwitterThese are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:
Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.
Below is a list of the GIS Layers provided (shapefile format):
Recreation (Zipped - 5 MB - click here)
Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed
Scenic Resources (Zipped - 3 MB - click here)
Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element
Biological Resources (Zipped - 45 MB - click here)
National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat
Hazards (Zipped - 8 MB - click here)
FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area
Zoning and Land Use (Zipped - 13 MB - click here)
Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning
Other Layers (Zipped - 38 MB - click here)
Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village
Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.
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TwitterThis submission contains the link and geospatial materials used in the Energy Assets Transformation Web Mapping Application. The zip file contains 19 geospatial layers in a file geodatabase called EAT.gdb to be grouped in the following categories. 1. Industrial Assets: Coal Generation Units Retirements 2012-2040 (EIA); Examples of Repurposing Projects (32 projects in total); Abandoned Coal Mines (CORD, SkyTruth); Abandoned or Orphaned Wells (for ten states only). 2. Energy Transition Communities: 48C (e) Tax Credits - Designated Energy Communities (IRA); Index of Deep Disadvantage; Local Energy Action Program (LEAP); EJ Index for Proximity to Hazardous Waste (EPA). 3. Regional Landscape: State-Level Funding Programs (relevant to repurposing projects, for 2022 and 2023 only); Coal Flows from Mine to Plant 2021 (EIA), Variable Renewable Energy Shares (Wind and Solar, 2021, EIA). 4. Supporting Infrastructure: Railroads (HIFLD), Electric Power Transmission Lines (HIFLD), Major Highways (NHPN, DOT), Major Ports (National Atlas of the U.S.); Independent System Operators (HIFLD), NERC Regions and Subregions (HIFLD).
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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.
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Discover the booming GIS mapping tools market! This in-depth analysis reveals a $15B market in 2025 projected to reach $39B by 2033, driven by cloud adoption, AI integration, and surging demand across sectors. Explore key trends, leading companies (Esri, ArcGIS, QGIS, etc.), and regional growth forecasts.