The geospatial data presented here as ArcGIS layers denote landcover/landuse classifications to support field sampling efforts that occurred within the Cache Creek Settling Basin (CCSB) from 2010-2017. Manual photointerpretation of a National Agriculture Imagery Program (NAIP) dataset collected in 2012 was used to characterize landcover/landuse categories (hereafter habitat classes). Initially 9 categories were assigned based on vegetation structure (Vegtype1). These were then parsed into two levels of habitat classes that were chosen for their representativeness and use for statistical analyses of field sampling. At the coarsest level (Landcover 1), five habitat classes were assigned: Agriculture, Riparian, Floodplain, Open Water, and Road. At the more refined level (Landcover 2), ten habitat classes were nested within these five categories. Agriculture was not further refined within Landcover 2, as little consistency was expected between years as fields rotated between corn, pumpkin, tomatoes, and other row crops. Riparian habitat, marked by large canopy trees (such as Populus fremontii (cottonwood)) neighboring stream channels, also was not further refined. Floodplain habitat was separated into two categories: Mixed NonWoody (which included both Mowed and Barren habitats) and Mixed Woody. This separation of the floodplain habitat class (Landcover1) into Woody and NonWoody was performed with a 100 m2 moving window analysis in ArcGIS, where habitats were designated as either ≥50% shrub or tree cover (Woody) or <50%, and thus dominated by herbaceous vegetation cover (NonWoody). Open Water habitat was refined to consider both agricultural Canal (created) and Stream (natural) habitats. Road habitat was refined to separate Levee Roads (which included both the drivable portion and the apron on either side) and Interior roads, which were less managed. The map was tested for errors of omission and commission on the initial 9 categories during November 2014. Random points (n=100) were predetermined, and a total of 80 were selected for field verification. Type 1 (false positive) and Type 2 (false negative) errors were assessed. The survey indicated several corrections necessary in the final version of the map. 1) We noted the presence of woody species in “NonWoody” habitats, especially Baccharus salicilifolia (mulefat). Habitats were thus classified as “Woody” only with ≥50% presence of canopy species (e.g. tamarisk, black willow) 2) Riparian sites were over-characterized, and thus constrained back to “near stream channels only”. Walnut (Juglans spp) and willow stands alongside fields and irrigation canals were changed to Mixed Woody Floodplain. Fine tuning the final habitat distributions was thus based on field reconnaissance, scalar needs for classifying field data (sediment, water, bird, and fish collections), and validation of data categories using species observations from scientist field notes. Calibration was made using point data from the random survey and scientist field notes, to remove all sources of error and reach accuracy of 100%. The coverage “CCSB_Habitat_2012” is provided as an ARCGIS shapefile based on a suite of 7 interconnected ARCGIS files coded with the suffixes: cpg, dbf, sbn, sbx, shp, shx, and prj. Each file provides a component of the coverage (such as database or projection) and all files are necessary to open the “CCSB_Habitat_2012.shp” file with full functionality.
Overview map of the Uinta-Wasatch-Cache National Forest.
With our display services, you can use Lantmäteriet’s maps in your own systems or applications. The display services can be combined with our other geodata services. The service provides access to a topographic web map that is customised for screen viewing. The map information is displayed with a harmonised cartography between the scales. The service is very similar in terms of content to the service Topographic Webmap Viewing but has higher performance and slightly less timeliness. The information is updated at different intervals depending on the information type and scale level. Scale ranges up to 1:20,000 are updated at least daily. Scale ranges above 1:20,000 are updated at least quarterly.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given tax assessment account are maintained by SDAT and incorporated with parcel boundaries and other ancillary information maintained by the Montgomery County Planning Department.For more information about the fields and attributes in the dataset, see the data dictionary.For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The service contains topographical maps on a scale of 1:500 to 1:10M. The link includes four layers: - Topographic map i colors - Topographic map in gray scale - Topographic raster map - Nautical chart raster map
The service contains map data, FKB, sea data and vbase data, but not cadastral data. Cadastral data can be found in separate wms services called Cadastral Simple WMS or Cadastral Map WMS.
Notice! Unfortunately, we are currently experiencing performance issues with the service due to the transition to a new platform. The slowness is expected to persist for some time. We sincerely apologize for the inconvenience this may cause and assure you that we are working diligently to resolve the issue as quickly as possible.
Published by the Ministry of Jobs, Tourism and Skills Training - DataBC Licensed under Access Only The Data and Resource link below provides web service application program interfaces (API) that return georeferenced map images and services per the Open Geospatial Consortium Web Mapping Service (WMS) Protocol based on a variety of geographic data sources. These services can be used in a variety of tools and applications.
The BC Web Mercator Base Cache Web Map Service (WMS ) provides Base Cache information using Google Scale Levels and Web Mercator Projection EPSG:3857.
https://catalogue.data.gov.bc.ca/dataset/bc-web-mercator-base-cache
Source of highways and roads outside of British Columbia: TomTom Source of airport boundaries and runways: TomTom Source of Building Footprints: © OpenStreetMap contributors
This service is a cached overlay of a cartographic representation of the National Hydrography Dataset (NHD). The NHD is a comprehensive set of digital geospatial data that encodes information about naturally occurring and constructed bodies of surface water, paths through which water flows, related features such as stream gages and dams, and additional hydrologic information. It is available nationwide in a 1:24,000-scale seamless dataset, referred to as high resolution NHD. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance and stewardship. For additional information, go to http://nhd.usgs.gov. Additional datasets are used for small-scale hydrography representation as well, including medium resolution NHDPlus published by EPA; USGS Small-Scale hydrography; and bathymetry from ETOPO1 Global Relief, provided by NOAA National Centers for Environmental Information, U.S. Coastal Relief Model.
Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer. Land and Property Information (LPI’s) Cached map service is a rasterised topographic maps covering NSW. This service contains the current standard Topographic maps from the 1:100,000; 1:50,000 and 1:25,000 series. Where coverage exists at multiple scales the largest scale map is displayed. It compromises the “collars off” tiff images for the current (1:100000, 1:50000 and 1:25000) Topo maps, and replaces the old “Topographic maps (Current Series)” shown in the old six viewer.
https://data.gov.tw/licensehttps://data.gov.tw/license
The Taiwan e-Map has been created in offline map file (MBTiles format) to meet the demand for offline maps on mobile map apps. If you need to integrate the service, please refer to the "Taiwan General Electronic Map (with contour lines, scales smaller than 1:18,000)" or "Taiwan General Electronic Map (without contour lines, scales smaller than 1:18,000)" datasets.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The topographic data includes constructed and natural features that make up Ontario’s landscape.
The cache provides limited data from areas outside Ontario’s boundaries, such as the United States and adjacent provinces and territories.
Technical information Two versions of the LIO Topographic Data Cache are available:
The traditional raster version is available for a variety of GIS applications and is updated annually. The vector version is suitable for online web map applications as well as modern GIS software and is updated twice a year. Contributing data layers may have different maintenance and update cycles.
Some cache layers have been processed in a way that makes it easier for them to be displayed in a mapping product. Other layers are unchanged from the authoritative data.
The cartographic symbology used in the data cache is intentionally muted to allow users to showcase their data.The LIO Vector Topographic Data Cache is created from many source datasets as described in the LIO Topographic Data Cache user guide. If you are interested in obtaining this authoritative data, you can download it from the Ontario GeoHub.
Additional Documentation
LIO Topographic Data Cache - User Guide (DOCX)
LIO Vector Topographic Data Cache - Tile Layer
Status
On going: Data is continually being updated
Maintenance and Update Frequency
Biannually: data is updated twice each year
Contact
Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca
This is a vector layer of Ile Cache island's base map. The GIS layer was originally created by the GIS section in the Ministry of Environment and Natural Resource and Transport (MENRT). The layer has been re-edited since then by the Centre for GIS.
Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information
This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Cache County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApplyhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/noConditionsApply
Tjenesten inneholder topografiske kart i målestokken 1:500 til 1:10M. Tjenesten inneholder kartdata, fbk og vbase data, men ikke matrikkel data. Matrikkel data kan bli funnet i en egen wms-tjeneste kalt Matrikkel Enkel WMS
The Elevation Contours tile cache service displays at large scales contour lines at 3-meter intervals created from Digital Terrain Model (DTM) data points collected during the production of the 1:5,000 Black and White Digital Orthophoto images. See https://www.mass.gov/info-details/massgis-data-elevation-contours-15000 for more details.At smaller scales the service displays contour lines at 30-foot intervals originally developed at a scale of 1:250,000 and distributed by the U.S. Geological Survey. Please see https://www.mass.gov/info-details/massgis-data-elevation-contours-1250000 for more details.For both datasets, the index contours are labeled in feet above sea level.
This service is a cached overlay of a cartographic representation of the National Hydrography Dataset (NHD). The NHD is a comprehensive set of digital geospatial data that encodes information about naturally occurring and constructed bodies of surface water, paths through which water flows, related features such as stream gages and dams, and additional hydrologic information. It is available nationwide in a 1:24,000-scale seamless dataset, referred to as high resolution NHD. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance and stewardship. For additional information, go to http://nhd.usgs.gov. Additional datasets are used for small-scale hydrography representation as well, including medium resolution NHDPlus published by EPA; USGS Small-Scale hydrography; and bathymetry from ETOPO1 Global Relief, provided by NOAA National Centers for Environmental Information, U.S. Coastal Relief Model.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The National Hydrography Dataset (NHD) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD is available nationwide in two seamless datasets, one based on 1:24,000-scale maps and referred to as high resolution NHD, and the other based on 1:100,000-scale maps and referred to as medium resolution NHD. Additional selected areas in the United States are available based on larger scales, such as 1:5,000-scale or greater, and referred to as local resolution NHD. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance and stewardship. For additional information, go to https://nhd.usgs.gov.
"Base" streets with labels as a tile cache from MassGIS. The base streets were originally developed by Navteq/HERE and are now maintained by MassGIS as part of the Master Address Database project.Features display at scale levels 11 (1:288k) to 20 (1:564).
description: This map was produced by the Division of Realty to depict landownership at Cache River National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.; abstract: This map was produced by the Division of Realty to depict landownership at Cache River National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.
https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy
The global map application market is experiencing robust growth, driven by the increasing penetration of smartphones, rising demand for location-based services, and the integration of advanced features like augmented reality and real-time traffic updates. Let's assume a 2025 market size of $15 billion, considering the significant investment and expansion in this sector. With a Compound Annual Growth Rate (CAGR) of 12% projected for the period 2025-2033, the market is poised to reach approximately $45 billion by 2033. This growth is fueled by several key trends: the development of more sophisticated navigation systems incorporating AI, the surge in the popularity of ride-sharing services heavily reliant on map apps, and the expanding use of maps in various industries such as logistics and delivery services. While factors like data privacy concerns and the competitive landscape pose some restraints, the overall outlook remains positive, driven by continuous innovation and increasing user adoption across both general and enterprise segments. The market is segmented by operating system (Android, iOS, Others) and user type (General, Enterprise), reflecting the diverse applications and user needs catered to by these apps. Geographic expansion is another significant factor, with North America and Europe currently leading the market, but substantial growth potential in Asia Pacific and other emerging regions. The competitive landscape is highly dynamic, with established players like Google Maps and Waze vying for market share alongside specialized players like OsmAnd and Citymapper catering to niche needs. The ongoing development of offline map functionality, improved accuracy, and enhanced user interfaces are key factors in maintaining user engagement and attracting new users. Further growth will depend on the ability of companies to leverage emerging technologies such as 5G and edge computing to deliver faster and more reliable location services. The integration of map apps with other services, creating seamless user experiences across various platforms and applications, presents a key area of future development. The continuous expansion of the market reflects a fundamental human need for navigation and location-based information which is amplified by the ever-increasing interconnected world.
The geospatial data presented here as ArcGIS layers denote landcover/landuse classifications to support field sampling efforts that occurred within the Cache Creek Settling Basin (CCSB) from 2010-2017. Manual photointerpretation of a National Agriculture Imagery Program (NAIP) dataset collected in 2012 was used to characterize landcover/landuse categories (hereafter habitat classes). Initially 9 categories were assigned based on vegetation structure (Vegtype1). These were then parsed into two levels of habitat classes that were chosen for their representativeness and use for statistical analyses of field sampling. At the coarsest level (Landcover 1), five habitat classes were assigned: Agriculture, Riparian, Floodplain, Open Water, and Road. At the more refined level (Landcover 2), ten habitat classes were nested within these five categories. Agriculture was not further refined within Landcover 2, as little consistency was expected between years as fields rotated between corn, pumpkin, tomatoes, and other row crops. Riparian habitat, marked by large canopy trees (such as Populus fremontii (cottonwood)) neighboring stream channels, also was not further refined. Floodplain habitat was separated into two categories: Mixed NonWoody (which included both Mowed and Barren habitats) and Mixed Woody. This separation of the floodplain habitat class (Landcover1) into Woody and NonWoody was performed with a 100 m2 moving window analysis in ArcGIS, where habitats were designated as either ≥50% shrub or tree cover (Woody) or <50%, and thus dominated by herbaceous vegetation cover (NonWoody). Open Water habitat was refined to consider both agricultural Canal (created) and Stream (natural) habitats. Road habitat was refined to separate Levee Roads (which included both the drivable portion and the apron on either side) and Interior roads, which were less managed. The map was tested for errors of omission and commission on the initial 9 categories during November 2014. Random points (n=100) were predetermined, and a total of 80 were selected for field verification. Type 1 (false positive) and Type 2 (false negative) errors were assessed. The survey indicated several corrections necessary in the final version of the map. 1) We noted the presence of woody species in “NonWoody” habitats, especially Baccharus salicilifolia (mulefat). Habitats were thus classified as “Woody” only with ≥50% presence of canopy species (e.g. tamarisk, black willow) 2) Riparian sites were over-characterized, and thus constrained back to “near stream channels only”. Walnut (Juglans spp) and willow stands alongside fields and irrigation canals were changed to Mixed Woody Floodplain. Fine tuning the final habitat distributions was thus based on field reconnaissance, scalar needs for classifying field data (sediment, water, bird, and fish collections), and validation of data categories using species observations from scientist field notes. Calibration was made using point data from the random survey and scientist field notes, to remove all sources of error and reach accuracy of 100%. The coverage “CCSB_Habitat_2012” is provided as an ARCGIS shapefile based on a suite of 7 interconnected ARCGIS files coded with the suffixes: cpg, dbf, sbn, sbx, shp, shx, and prj. Each file provides a component of the coverage (such as database or projection) and all files are necessary to open the “CCSB_Habitat_2012.shp” file with full functionality.