The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

The Digital Geologic-GIS Map of the Ready Quadrangle, Kentucky is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (read_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (read_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (read_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (maca_abli_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (maca_abli_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (read_geology_metadata_faq.pdf). Please read the maca_abli_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (read_geology_metadata.txt or read_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover postal divisions for the whole world. The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (Geospatial data, Map data, Polygon daa)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

The Commonwealth of Kentucky through the Commonwealth Office of Technology's Division of Geographic Information (DGI) in conjunction with the Kentucky GIS Community has made available a wealth of GIS-related information, data sets and maps. These resources support education and training, research, and policy development for a multitude of organizations in Kentucky and across the United States.The Commonwealth Map is a statewide digital basemap available via the Internet for interactive mapping, geographic data querying, and downloading. As a collaborative effort of local, state, and federal partners, this initiative is designed to facilitate public, non-profit, and private sector GIS development, utilization, innovation, and data sharing.This web map also includes a great set of bookmarks prepared by the Kentucky Geography Network.Kentucky Division of Geographic Information: https://gis.ky.gov/Kentucky Geography Network: https://kygeonet.ky.govYou can access the Kentucky Commonwealth Map viewer here: https://kygeonet.ky.gov/tcm/ArcMap users can also access a ready to use map document (MXD file) for Kentucky that references this service. Click to launch. Requires ArcGIS 9.3 or more recent: MXD. This map document also includes the bookmarks prepared by the Kentucky Geography Network.More details about the Commonwealth Map of Kentucky map service used in this web map can be found here.

This group of maps, which includes the CanMatrix and CanTopo collections, is now a legacy product that is no longer maintained. It may not meet current government standards.

Natural Resources Canada's (NRCan) topographic raster maps provide a representation of the topographic phenomena of the Canadian landmass.

Several editions of paper maps have been produced over time in order to offer improved products compared to their predecessors in terms of quality and the most up to date information possible. The georeferenced maps can be used in a Geographic Information System (GIS). In all cases, they accurately represent the topographical data available for the date indicated (validity date). The combination of CanMatrix and CanTopo data provides complete national coverage.

• CanMatrix - Print Ready: Raster maps produced by scanning topographic maps at scales from 1:25 000 to 1:1 000 000. This product is not georeferenced.

Validity dates: 1944 to 2005 (1980 on average).

Available formats: PDF and TIFF

• CanMatrix - Georeferenced: Raster maps produced by scanning topographic maps at scales of 1:50 000 and 1:250 000. These maps are georeferenced according to the 1983 North American Reference System (NAD 83).

Validity dates: 1944 to 2005 (1980 on average).

Available format: GeoTIFF

• CanTopo: Digital raster maps produced mainly from the GeoBase initiative, NRCan digital topographic data, and other sources. Approximately 2,234 datasets (maps) at scale of 1:50 000, primarily covering northern Canada, are available. CanTopo datasets in GeoPDF and GeoTIFF format are georeferenced according to the 1983 North American Reference System (NAD 83).

Validity dates: 1946 to 2012 (2007 on average).

Available formats: PDF, GeoPDF, TIFF and GeoTIFF

A map used in the Public Information application to display authoritative information about an incident or current event.

Services: This segment encompasses consulting, map development and customization, and data collection and processing services.Solutions: Includes ready-to-use mapping solutions for specific industries and applications, such as fleet management, navigation, and disaster response.Functionality: Categorized based on map capabilities, including scientific mapping for research and analysis, GPS navigation for vehicle navigation, and computerized mapping for computer-aided design.Application: Segmented by indoor and outdoor mapping, catering to different use cases and requirements.Technology: Includes Geographic Information Systems (GIS), Digital Orthophotography (DOP), Aerial Photography, and others, each offering unique capabilities for map creation and analysis. Recent developments include: July 2022: Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Potential restraints include: Lack of Skilled Expertise, High Deployment Cost.

Yarrrrrrrr maps are too crisp and clean! You need a hand-painted grubby tattered treasure map from antiquity to make yer point. Download this here style for ArrrrrrcGIS Pro and be off to makin dern-near realistic maps ready for an eager public (or set designerrrr).To be used in conjunction with these tattered paper assets, available here (seriously, it's a pretty important bit). Or you can use them with an assortment of paper textures, available in Living Atlas here.Also, there's two cool hand-inked looking north arrows in the style. You can see them in the sample maps above.Happy Mapping! John Nelson

Globally available, ON-DEMAND noise pollution maps generated from real-world measurements (our sample dataset) and AI interpolation. Unlike any other available noise-level data sets! GIS-ready, high-resolution visuals for real estate platforms, government dashboards, and smart city applications.

Street intersections are challenging for people with visual impairments. While tactile maps are an important support in both mobility training and independent journeys, the caseload of manual map production has made them less accessible. This paper explores the possibility of (semi-) automatically producing tactile maps for street intersections at large scales, with an initial evaluation focused on the graphic aspect of the produced maps. The automation attempts to identify acceptable default parameters and values and proposes an exploration of possible choices for potentially open decisions. It adapts the classic map production process with parameters to present the information tactilely at the intersection scale, and produces representation meaningful for PVIs and realistic for an automatic procedure, resulting in ready-to-print maps in two scales of three sizes, with different levels of details and styles. The resulting maps are evaluated by professionals involved in tactile graphics through a questionnaire to evaluate the defaults and discuss the possibility of open choices. The professionals validated the maps, and their evaluation emphasized the need to have an acceptable default while keeping some options open to cater to the diversity in the visually impaired audience.

The European Copernicus Coastal Flood Awareness System (ECFAS) project aimed at contributing to the evolution of the Copernicus Emergency Management Service (https://emergency.copernicus.eu/) by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS provides a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.

The ECFAS Proof-of-Concept development ran from January 2021 to December 2022. The ECFAS project was a collaboration between Scuola Universitaria Superiore IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and was funded by the European Commission H2020 Framework Programme within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services.

Description of the product

The deliverable includes a document and a compressed directory with ready-to-print maps, the associated geospatial datasets and symbology files. All products were developed under Task 5.5 – Mapping products.
The document reports on the activities conducted during Task 5.5 – Mapping products that aimed at demonstrating the added value of the ECFAS products and propose adequate representation for communication and integration into the Copernicus Emergency Management Services. Five Demonstration cases, corresponding each to one recent coastal event and one location, were selected to highlight the ECFAS products resulting of the coastal Flood, Impacts and Shoreline position tools developed previously during the ECFAS activities. The Mapping products prepared for each demonstration case are provided along the document in cartographic formats (ready-to-print maps), along with the symbology files and geospatial datasets that were used to create the products.

This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of this dataset are licensed under the Open Database License: http://opendatacommons.org/licenses/dbcl/1.0/.

This Report is made available under the Creative Commons Attribution 4.0 International License.

Disclaimer:

ECFAS partners provide the data "as is" and "as available" without warranty of any kind. The ECFAS partners shall not be held liable resulting from the use of the information and data provided.

This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211

This historical map series consists of the Planimetric Series printed monochrome maps named using the National Topographic System (NTS) map sheet identifier within Alberta. The Planimetric Series base maps were initiated in 1949 and derived from aerial photographs taken during the years 1949 to 1952. These maps display: Alberta Township System (ATS) - hydrographic features - provincial highways - roads - pipelines - transmission lines - municipalities. These maps are not available as GIS-ready data. All available maps are provided in Adobe PDF and TIF format. To obtain the TIF format, please contact the distributor. Geo-referenced PNG files are also available for some maps, but some are roughly georeferenced with only a few control points. Please note that the coverage for the province is incomplete and it is not known if further coverage will be added. Some maps were also updated after their initial publication, please refer to the maps for the most current dates.

This collection of downloadable files and web services contain the geologic map information used to publish U.S. Geological Survey Open-File Report 2007-1089 (Sherrod and others, 2007). This geologic map shows the distribution and stratigraphic relation of volcanic, intrusive, and sedimentary units emplaced in the past 8 million years across the eight principal islands of the Hawaiian archipelago, State of Hawaii, U.S.A. This geologic map is available in several formats including: ESRI Service, WMS, geosciml-portrayal WFS, geodatabase (native mapinfo files), shapefiles, geodatabase (e00 export files), or as downloadable plates (pdfs) from the USGS landing page (see "USGS Publications - Geologic Map of Hawaii and related links" link on the left side of the page). On the USGS landing page, the State's geology is presented on eight full-color map sheets, one for each of the major islands. These map sheets can be downloaded in pdf format, ready to print. Map scale is 1:100,000 for most of the islands, so that each map is about 27 inches by 36 inches. The Island of Hawaii, largest of the islands, is depicted at a smaller scale, 1:250,000, so that it, too, can be shown on 36-inch-wide paper. Both the WMS and WFS services and the USGS maps are based on the same dataset published by Sherrod, et al 2007, and are distributed by the USGS and University of Hawaii. Services are being provided by the Arizona Geological Survey.

A reverse-engineering of the methods and color palette used by renown Swiss relief painter Eduard Imhof, toward the goal of creating a digital homage for modern cartographers. Links are provided in this Cascade Story Map to an ArcGIS Pro style resource and project package. Cartographers are invited to get the scoop on the aesthetic technique then start cranking out glorious hillshade maps of their own.This story map provides links to an ArcGIS Pro project package with the requisite layers and style ready to go, just pan and zoom around!Happy Mountain Mapping! John Nelson

Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This map is designed to be used as a general reference map for informational and educational purposes as well as a basemap by GIS professionals and other users for creating web maps and web mapping applications.To launch a web map containing this map layer, click here.The map was developed by National Geographic and Esri and reflects the distinctive National Geographic cartographic style in a multi-scale reference map of the world. The map was authored using data from a variety of leading data providers, including Garmin, HERE, UNEP-WCMC, NASA, ESA, USGS, and others.This reference map includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings and landmarks, overlaid on shaded relief and land cover imagery for added context. The map includes global coverage down to ~1:144k scale and more detailed coverage for North America down to ~1:9k scale. Here's a ready-to-use web map that uses the National Geographic World Map as its basemap. Map Note: Although small-scale boundaries, place names and map notes were provided and edited by National Geographic, boundaries and names shown do not necessarily reflect the map policy of the National Geographic Society, particularly at larger scales where content has not been thoroughly reviewed or edited by National Geographic.Data Notes: The credits below include a list of data providers used to develop the map. Below are a few additional notes:Reference Data: National Geographic, Esri, Garmin, HERE, INCREMENT P, NRCAN, METILand Cover Imagery: NASA Blue Marble, ESA GlobCover 2009 (Copyright notice: © ESA 2010 and UCLouvain)Protected Areas: IUCN and UNEP-WCMC (2011), The World Database on Protected Areas (WDPA) Annual Release. Cambridge, UK: UNEP-WCMC. Available at: www.protectedplanet.net.Ocean Data: GEBCO, NOAA

This web map draws attention to your thematic content by providing a dark, neutral background with minimal colors, labels, and features. Only key information is represented to provide geographic context, allowing your data to come to the foreground. Open this web map and choose the "Add" button at the top to add your thematic content, or drag and drop your GIS-ready data to the map.This web map uses the World Dark Gray Base map service as its basemap. This web map also contains the World Dark Gray Reference map service to provide labels for selected cities and towns.This dark gray web map supports bright colors and labels for your theme, creating a visually compelling map graphic which helps your reader see the patterns intended. See this blog post for more information on how to use this map.The map shows populated places, water, roads, urban areas, parks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority. This map was compiled by Esri using HERE data, DeLorme basemap layers, MapmyIndia data, and Esri basemap data. The basemap includes boundaries, administrative labels, and major roads worldwide from 1:591M scale to 1:577k scale. More detailed nationwide coverage is included in North America, Africa, South America and Central America, the Middle East, India, Australia, and New Zealand down to the 1:9k scale. Data for select areas of Africa and Pacific Island nations from ~1:288k to ~1:9k was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.In addition, some of the data in the World Dark Gray Base map service has been contributed by the GIS community. You can contribute your data to this service and have it served by Esri. For details, see the Community Maps Program. For details on data sources in this map service, view the list of Contributors for the World Dark Gray Base map. Note: The light gray basemap is not supported in ArcGIS for Desktop 9.3 or 9.3.1 because it uses the mixed cache format (both JPEG and PNG).

description: The gSSURGO dataset provides detailed soil survey mapping in raster format with ready-to-map attributes organized in statewide tiles for desktop GIS. gSSURGO is derived from the official Soil Survey Geographic (SSURGO) Database. SSURGO generally has the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging the traditional vector-based SSURGO digital map data and tabular data into statewide extents, adding a statewide gridded map layer derived from the vector layer, and adding a new value-added look up table (valu) containing ready-to-map attributes. The gridded map layer is in an ArcGIS file geodatabase in raster format, thus it has the capacity to store significantly more data and greater spatial extents than the traditional SSURGO product. The raster map data have a 10-meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link the raster cells and polygons to attribute tables. For more information, see the gSSURGO webpage: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628; abstract: The gSSURGO dataset provides detailed soil survey mapping in raster format with ready-to-map attributes organized in statewide tiles for desktop GIS. gSSURGO is derived from the official Soil Survey Geographic (SSURGO) Database. SSURGO generally has the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging the traditional vector-based SSURGO digital map data and tabular data into statewide extents, adding a statewide gridded map layer derived from the vector layer, and adding a new value-added look up table (valu) containing ready-to-map attributes. The gridded map layer is in an ArcGIS file geodatabase in raster format, thus it has the capacity to store significantly more data and greater spatial extents than the traditional SSURGO product. The raster map data have a 10-meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link the raster cells and polygons to attribute tables. For more information, see the gSSURGO webpage: http://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053628

This collection of downloadable files and web services contain the geologic map information used to publish the Geologic Map of the State of Hawaii, U.S. Geological Survey Open-File Report 2007-1089 (Sherrod and others, 2007). This geologic map shows the distribution and stratigraphic relation of volcanic, intrusive, and sedimentary units emplaced in the past 8 million years across the eight principal islands of the Hawaiian archipelago, State of Hawaii. This geologic map data are available in several formats including: ESRI Service Endpoint, WMS, geosciml-portrayal WFS, geodatabase (native mapinfo files), shapefiles, geodatabase (e00 export files), or as downloadable plates (pdfs) from the USGS landing page (see "USGS Publications - Geologic Map of Hawaii and related links" link on the left side of this page). On the USGS landing page, the State's geology is presented on eight full-color map sheets, one for each of the major islands. These map sheets can be downloaded in pdf format, ready to print. Map scale is 1:100,000 for most of the islands, so that each map is about 27 by 36 inches. The Island of Hawaii, largest of the islands, is depicted at a smaller scale, 1:250,000, so that it, too, can be shown on 36-inch-wide paper. Both the WMS and WFS services and the USGS maps are based on the same dataset published by Sherrod, et al 2007, and are distributed by the USGS and University of Hawaii. Services are being provided by the Arizona Geological Survey and made available through the National Geothermal Data System.

High-resolution crop maps over large spatial extents are fundamental to many agricultural applications; however, generating high-quality crop maps consistently across space and time remains a challenge. In this study, we improved a workflow for operational crop mapping and developed the first openly available, annual, 10-m spatial resolution maize and soybean maps over the Contiguous United States (CONUS) from 2019 to 2022. We obtained all available Sentinel-2 surface reflectance data between May and October for every year, applied quality assurance, corrected the bidirectional reflectance distribution function (BRDF) effects, and generated 10-day analysis ready data (ARD) composites. We then derived multi-temporal metrics from the 10-day ARD as training features for the national-scale wall-to-wall mapping. We implemented a stratified, two-stage cluster sampling, and then conducted annual field surveys and collected ground data. Utilizing the training data with Sentinel-2 multi-temporal metrics, we trained random forest models generalized for annual maize and soybean classification separately. Validated using field data from the two-stage cluster sample, our annual maps achieved consistent overall accuracies (OA) greater than 95% with standard errors of less than 1%. User’s accuracies (UAs) and producer’s accuracies (PAs) for maize were higher than 91% and 84% across the years, and UAs and PAs for soybean were greater than 88% and 82%, respectively. To illustrate the substantial improvement of the 10-m map over existing datasets, e.g., the 30-m Cropland Data Layer (CDL), we aggregated the 10-m maps to 30-m spatial resolution and quantified the amount of 30-m mixed pixels that can be reduced at field, regional, and national levels. The counties with the most maize and soybean production in Iowa, Illinois and Nebraska had the lowest reduction in mixed pixels, ranging from 1% to 10%, whereas southern counties had a higher reduction in mixed pixels. Overall, the median percentages of mixed maize and soybean pixels across all counties were 14% and 16%, respectively, illustrating the substantial benefits of 10-m maps over 30-m maps. With more Sentinel-2-like data available from continuous observations and incoming satellite missions, we anticipate that 10-m crop maps will greatly benefit long-term monitoring for agricultural practices from the field to global scales.