Open space basemap for Martha's Vineyard Land Bank's website map. This is a raster tile since the ArcPro project file contained annotation (which apparently annotation is not supported in vector tiles).This basemap is intended to be viewed with the Land Bank's conservation land and trails data feature layers.

OS Open Raster stack of GB for use as base mapping from national scale through to street level data.The currency of the data is: GB Overview Maps - 12/2014 MiniScale - 01/2024 OS 250K Raster - 06/2024Vector Map District Raster - 05/2024Open Map Local Raster - 10/2024The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 29/10/2024

Data available online through GeoStor at http://www.geostor.arkansas.gov. The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map, georeferenced to the UTM grid.

The currency of the data is;GB Overview Maps - 12/2014MiniScale - 01/2015OS 250K Raster - 06/2014Vector Map District Raster - 09/2014StreetView - 10/2014The coverage of the map service is GB.The map projection is British National Grid.The service is appropriate for viewing down to a scale of approximately 1:5,000.Updated: 10/04/2015

description: Data available online through GeoStor at http://www.geostor.arkansas.gov. The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map, georeferenced to the UTM grid.; abstract: Data available online through GeoStor at http://www.geostor.arkansas.gov. The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map, georeferenced to the UTM grid.

This dataset is available for download from: Parcelization (File Geodatabase)Parcelization, a measure of size and density of parcels in a localized area, is a development feasibility factor that is used in evaluating substations’ ability to support new utility-scale resources in long-term energy planning. A statewide dataset of parcel boundaries are used to develop this index. The parcels are converted into a 90-meter raster, containing values of a unique identifier reflective of Parcel APN. A focal statistics tool is used to count the number of unique parcels within a 0.5 mile radius of each parcel. This output is provided here and is an intermediate output to the final parcelization map. Users who wish to use this information to produce the final map should overlay parcel boundary data and extract the mean raster value within each parcel. The map is limited to the area considered with solar technical resource potential after a minimum set of land-use screens (referred to as the Base Exclusions) has been applied. More information on the methods developing this dataset as well as the main use of this dataset in state electric system planning processes can be found in a recent CEC staff report and workshops supporting the resource-to-busbar mapping methodology for the 2024-2025 Transmission Planning Process.

Data available online through GeoStor at http://www.geostor.arkansas.gov. The Digital Raster Graphic (DRG) is a raster image of a scanned USGS topographic map, georeferenced to the UTM grid.

These tiles are raster images of the Topo vector data from Corax Topo 2006 vector dataset, created using ArcGIS in the NZTM projection. They are not the scanned hardcopy maps published by LINZ. All tiles are georeferenced and clipped exactly. Annotation can span the tile boundaries.

The scale of the data is designed to be printed at 1:50,000 but the lower resolutions we have for screens compared to a page means that they are more readable at 1:25,000 scale.

To reduce clutter the patterned filled symbols have been simplified to single colours, contours have been thinned.

Annotation from the topo set has been used for labelling, however that did not include road names, spot heights and descriptive text. These have been placed automatically, so there are some clashes.

Pixel size is 4.0 metres ground which results in much smaller file sizes (~ 40 MB) than a high resolution version of an A1 sheet that LINZ issue from the new series (140 MB)

The tiles are half NZTopo50 sheets, 24 km x 18 km covering 43,200 Ha. The rate set is equivalent to $3.00 + GST per tile or $6 + GST per sheet for large areas. You may find downloading the NZTopo50 index layer to make calculation of the cost easier.

Although there are newer versions of the LINZ data (now v 15) there are very, very few edits in each version, and they are limited to a few tiles, so for most of the country this is still identical to the latest version.

Source Corax Topo 2006, derived from LINZ Topo version 13. Crown Copyright Reserved.

Data available online through GeoStor at http://www.geostor.arkansas.gov. Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 (NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the overedge ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The overedge is included to facilitate tonal matching for mosaicking and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. The radiometric image brightness values are stored as 256 gray levels, ranging from 0 to 255. This dataset is a combination of all DOQ images from the State of Arkansas. They have been stitched into a single mosaic through an automated process using ER Mapper software from Earth Resource Mapping Pty Ltd. The DOQ images were contrast balanced (using histogram matching) and the resulting balanced mosaic was forced into a value range of 0 to 255 using a simple linear transformation.

Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based on raster tiles is inferior to vector tiles in terms of interactive ability because vector maps provide a convenient and effective method to access and manipulate web map features. However, the critical issue regarding rendering tiled vector maps is that geographical features that are rendered in the form of map symbols via vector tiles may cause visual discontinuities, such as graphic conflicts and losses of data around the borders of tiles, which likely represent the main obstacles to exploring vector map tiles on the web. This paper proposes a tiled vector data model for geographical features in symbolized maps that considers the relationships among geographical features, symbol representations and map renderings. This model presents a method to tailor geographical features in terms of map symbols and ‘addition’ (join) operations on the following two levels: geographical features and map features. Thus, these maps can resolve the visual discontinuity problem based on the proposed model without weakening the interactivity of vector maps. The proposed model is validated by two map data sets, and the results demonstrate that the rendered (symbolized) web maps present smooth visual continuity.

This dataset is available for download from: Wetlands (File Geodatabase).Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader land cover raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens.This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library. Change LogVersion 1.1 (January 26, 2023)Full resolution of wetlands replaced a coarser resolution version that was previously shared. Also, file type changed from polygon to raster (feature service to tile layer service).

description: This dataset was created by two Spatial Information Systems seniors in fulfillment of their SIS practicum. The imagery was flown by the Arkansas Highway and Transportation Department and orthorectified by the students. The imagery is black and white and has a spatial resolution of 1 foot. The Spatial Analysis Laboratory does not guarantee the horizontal accuracy or spectral quality of this imagery, however the RMS was less than 1 foot.; abstract: This dataset was created by two Spatial Information Systems seniors in fulfillment of their SIS practicum. The imagery was flown by the Arkansas Highway and Transportation Department and orthorectified by the students. The imagery is black and white and has a spatial resolution of 1 foot. The Spatial Analysis Laboratory does not guarantee the horizontal accuracy or spectral quality of this imagery, however the RMS was less than 1 foot.

Ortho photography was captured for base mapping needs in the City of West Memphis

A global dataset providing bare-earth terrain heights, tiled for easy usage and provided on S3.

This web map contains the new Hybrid Reference Layer vector tile layer, which is designed to be used to overlay imagery. The vector tile layer is similar in content and style to the popular Imagery with Labels map, which is delivered as a map service with raster tiles, with additional labels for transportation features.The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get highways and streets at small scales or street labels at large scale.If you prefer a map that uses raster tiles for both boundary and transportation features, you can use the Imagery with Labels and Transportation map.

The 30-m Gridded Tile Drainage Data for the Contiguous United StatesCite this data:Valayamkunnath, P., Barlage, M., Chen, F. et al. Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach. Sci Data 7, 257 (2020). https://doi.org/10.1038/s41597-020-00596-xDownload citation

The collarless hillshaded DRGs are hillshaded using the National Elevation Dataset (NED). The NED is a raster product assembled by the U.S. Geological Survey. NED is designed to provide National elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections were made in the NED assembly process to minimize artifacts, perform edge matching, and fill sliver areas of missing data. NED has a resolution of one arc-second (approximately 30 meters) for the continuous United States, Hawaii, Puerto Rico and Virgin Islands. They are the same resolution as the 1:24,000 collarless DRGs, which has an approximate cell size of 2.4 meters, but hillshaded to give the maps a three-dimensional perspective. The collarless hillshade DRGs were created using a sequence of programs developed by Robert Weih.

A spatial tiling index designed for storage of file-based image and other raster (i.e., LiDAR elevation, landcover) data sets. A regular grid with origin at 0,0 of the Washington North State Plane Coordinate System, with grid cells defined by orthogonal bounds 7500 feet long in easting and in northing. Only those cells currently involved in one of several image/raster data projects for King County and southwestern Snohomish County are labelled, though the labeling scheme can be extended. The name of the spatial index is derived from the acronym (I)n(D)e(X) (P)olygons at the (7500) foot tile level, or idxp7500. Cell label is a row-id cocantenated with a column-id generating a four-character identifier that uniquely identifies every cell. The row portion of the identifier is a two-character alpha code of the format aa, ab, ac.... ba, bb, etc. and the column portion is a two-digit integer value such as 01, 02, 03.... 11,12,13, etc. A composite cell identifier would be then, for example, aa01, aa02, .....ba11,ba12, etc. Not all image and raster data is stored at the tiling level represented by this index. Data is stored at this level if full-resolution, uncompressed data would generate larger than manageable file sizes at a larger tile size.

This monochromatic image dataset was generated from MassGIS' 2005 elevation surface so that for a specific position of the sun, the values in the image represent the amount of light theoretically reflected to a position directly above the scene. The position of the sun was chosen as follows: - Solar azimuth: 315 degrees measured clockwise from due north (northwest). - Solar elevation: 45 degrees above the horizon. Slopes that face the direction of the sun appear highlighted and slopes that face away from the sun appear in darker shades. The data values have been scaled so that a value of 1 represents zero light reflectance, and a value of 255 represents maximum light reflectance. Shaded relief images are used in analysis, as well as making it easier visually to interpret slope, aspect, and changes in elevation. Shadows are not modeled.

This tiled cached map service is hosted in MassGIS' ArcGIS Online account for fast display.

View metadata at http://www.mass.gov/anf/research-and-tech/it-serv-and-support/application-serv/office-of-geographic-information-massgis/datalayers/elev2005.html.

A spatial tiling index designed for storage of file-based image and other raster (i.e., LiDAR elevation, landcover) data sets. An irregular grid of overlapping polygons, each enclosing its respective Public Land Survey System (PLSS) township in an orthogonal polygon minimally encompassing all portions of that township, i.e., minimum bounding rectangle. The amount of overlap between adjacent tiles varies depending on the geometry of the underlying township. Currently extended to include all townships within or partially within King County as well as those townships in the southwestern portion of Snohomish County included within King County's ESA/SAO project area. The name of the spatial index is derived from the acronym (I)n(D)e(X) (P)olygons for (T)ownship-(R)ange, (M)inimum (B)ounding (R)ectangle, or idxptrmbr. Tile label is the t(township number)r(range number)as in t24r02. The meridian zone identifiers, N for townships and E for range is inferred as this index is intended as a local index for ease of use by the majority of users of GIS data. Lowercase identifiers are used for consistency between Unix and Windows OS storage. This index or tile level is the primary user-access level for most LiDAR elevation, orthoimagery and high-resolution raster landcover data. However, not all image and raster data is stored at the tiling level if a given data's resolution does not justify storing the data as multiple tiles.