World Latitude and Longitude Grids represents five latitude-longitude grids covering the world. The grids are provided at intervals of 1, 5, 10, 15, and 30 degrees and have visibility and scale ranges set for each to provide continuous delivery of a grid at any scale. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Latitude and Longitude Grids.

Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

Section boundaries as defined by the US Public Land Survey System (PLSS). PLSS is a way of subdividing and describing land in the United States. Most lands in the public domain are subject to subdivision by this rectangular system of surveys, which is regulated by the U.S. Department of the Interior, Bureau of Land Management. Section boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska. Most corners are protracted corners, calculated by the Bureau of Land Management in lieu of field or survey locations. In 2013 and 2015 the Matanuska-Susitna Borough (MSB) shifted portions of this dataset to more accurately reflect the actual locations of section corners on the ground. These shifts occurred in the more populated areas of the MSB. Contact the MSB GIS division for more information.

This grid is based on an old map series called the New Jersey Atlas Sheets and on a reference system based on them called the New Jersey Rectangular Coordinate System. The grid system developed as the ATLAS_GRID does not exist on the atlas sheets but is based on latitude and longitude grids included on the sheets. The original 17 map sheets (numbered from 21 through 37) were produced with grid lines shown every 2 minutes of latitude and every 2 minutes of longitude, producing a regular grid of RECTANGLES. This rectangular grid forms the basis of the reference system. For each sheet, groups of RECTANGLES are aggregated together to form BLOCKS . Each BLOCK in each sheet is given a number from 1 to 45. Within each BLOCK, each RECTANGLE is numbered from 1 to 9. RECTANGLES are further divided into 9 sections called UNITS (numbered 1 to 9) and each UNIT divided into 9 sections called PARTS (also numbered 1 to 9). Each of these smallest sub divisions can be identified by a unique 7 digit code composed of the ATLAS SHEET number, and the number of the BLOCK, RECTANGLE, UNIT and PART. This 7 digit identifier is part of the historical well database and is still used on new permits.

Layers of 1, 5, 10, and 20 degree latitude and longitude intervals are provided to establish an optional cartographic hierarchy for enhanced figure/ground presentation. Finer grid lines (1 degree interval) are given a thinner line weight. The courser grid lines (through 20 degree interval) are shown with thicker line weight. The stacking of these grid lines create an additive opacity effect so that the courser lines appear more boldly. This sort of nested mesh provides visual interest, a consistent referential framework as the map reader zooms in and out, and the ability to visually track and compare the relative _location of features across ordinate lines. Grid lines have been clipped by their coincident _location over land or ocean. This provides the cartographer an added level of stylistic freedom when choosing to show or hide and symbolize various graticule scales depending on the underlying feature.

Boundaries are based on PLSS lines and broken down to the quarter section level. Hyperlinks to 1/4 1/4 Utility Maps and Valve swing-tie maps are hosted from this layer due to the sharing quarter section map extents.Attribute Information:Field Name DescriptionOBJECTIDESRI software specific field that serves as an index for the database.MAPNUMA combination of section and quarter section numbers.TRMAPNUMTownship and range included before the map number.TRMAPNUMDIRTRMAPNUM with the inclusion of directional values.GlobalIDESRI software specific field that is automatically assigned by the geodatabase at row creation.ShapeESRI software specific field denoting the geometry type of the asset.created_userName of user whom created the asset.created_dateDate when the asset was created.last_edited_userName of user whom most recently edited asset information.last_edited_dateDate when asset was most recently updated.ConvertedProgress tracking field.

ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

Monitoring Stations - shapefile with approximate locations of monitoring stations.

DSM2 v8.2.0, calibrated version:

• dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
• dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
• dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
• dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
• dsm2_8_2_0_calibrated_nodes - DSM2 nodes
• dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
• dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
• dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
• dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
• dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
• dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
• dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

DSM2 v8.2.1, historical version:

• DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
• DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
• DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
• DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
• DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

Change Log

7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps, also known as assessment maps, property maps or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

These useful see-through map cards are great for reading bearings, distances and grid references on 1:100 000 and 1:250 000 scale maps. The romer can be purchased as part of the Map Reading Guide, …Show full descriptionThese useful see-through map cards are great for reading bearings, distances and grid references on 1:100 000 and 1:250 000 scale maps. The romer can be purchased as part of the Map Reading Guide, or downloaded for reference. A romer can be used for determining the last Easting and last Northing figures for a six-figure grid reference: Place the top right hand corner intersection of the romer lines over the point of interest. Read the numbers from this point to the left to give the final Easting figure, and down to give the final Northing figure. The number required is the last number read, before the grid line on the map crosses the romer.

Existing lines extracted from OSM data © OpenStreetMap contributors. Data collected and prepared for a project of the World Bank Group in November 2013. Includes transmission lines, substations, as well as power stations. The grid lines are sourced from OSM, and have not been thoroughly verified for accuracy. This other data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.

The polylines represent underground utilities such as cable TV, gas, oil, and telephone lines across various areas of Los Angeles County. All data were collected from LA County Substructure Grid Maps drawing. The utility lines are from cities that were contracted with LA County. To download the hardcopy maps, please visit: Los Angeles County Substructure Maps | County of Los Angeles Open Datahttps://egis-lacounty.hub.arcgis.com/maps/los-angeles-county-substructure-maps-1/explore?location=34.094631%2C-118.256950%2C7.82Every reasonable effort has been made to assure the accuracy of this data and the maps referenced. Some cities may provide substructure information for the areas not covered by our map grids. Additional and more accurate substructure data and information may also be obtained through the utility companies. The County of Los Angeles makes no warranty, representation, or guarantee as to the content, sequence, accuracy, timeliness, or completeness of any of the data provided herein or of any maps referenced. Los Angeles County Public Works recommends that all utility research be conducted under the supervision of a licensed civil engineer.

This digital publication, GPR 2010-1, contains data produced from airborne geophysical surveys conducted in 2009 for the Moran survey area in the south-central Melozitna mining district, Melozitna and Tanana quadrangles, central Alaska. Aeromagnetic, electromagnetic (EM), and radiometric data were acquired by helicopter for about 653 sq miles. Fugro Airborne Survey's frequency-_domain DIGHEM V system was used for the EM data. GPR 2010-1 includes (1) raw and processed linedata; (2) gridded, Google Earth, and Geotiff formats of the calculated linedata; (3) maps of the data; and (4) vector files of data contours and flight lines.

Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The model documentation and code are also available , so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. You can find the model code and documentation here: https://github.com/facebookresearch/many-to-many-dijkstra

Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again.

Resolution: geotiff is provided at Bing Tile Level 20

This layer presents the Universal Transverse Mercator (UTM) zones of the world. The layer symbolizes the 6-degree wide zones employed for UTM projection.To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World UTM Zones Grid.

This Digital Elevation Map (DEM) was created from the contour lines of the Aerometrics orthophoto from 1996. In addition the 1 x1 km CALM grid with 121 points (every 100 m) was resurveyed in summer 2014 with a Topcon RTK. This RTK data as well as a lake and river layer was included in the DEM creation. The DEM accuracy is = +/- 1m. Back to: Toolik Lake Grid Geobotanical Go to Website Link :: Toolik Arctic Geobotanical Atlas below for details on legend units, photos of map units and plant species, glossary, bibliography and links to ground data. Map Themes: Digital Elevation, Glaical geology, Percent Water, Surficial geology, Surficial Geomorphology, Vegetation References Walker, D. A., Maier, H. A. 2008. Vegetation in the Vicinity of the Toolik Lake Field Station, Alaska. Biological Papers of the University of Alaska, Institute of Arctic Biology. No. 28.

Through its Natural Heritage Database, the Office of Natural Lands Management (ONLM) documents rare plant species and rare ecological community habitat to inform decision-makers who need to address the conservation of natural resources. The Natural Heritage Grid Map is a geographic information system (GIS) file that provides a general portrayal of the geographic locations of rare plant species and rare ecological communities for the entire state without providing sensitive detailed information. It does not contain data for animal species. The Natural Heritage Grid Map was produced using computer-generated vector-based polygons that divide the boundary lines of each USGS 1:24,000 scale topographic map into 100 grid cells, each cell being between 358 and 372 acres in size. If a rare plant species or ecological community has been documented from anywhere within a cell, the entire cell will be coded as containing an occurrence of a rare plant species/ecological community. An associated data table can be linked or related to the NHPGRID table in order to display information about the individual rare plant species/ecological community occurrences within any cell.

Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic …Show full descriptionTotal magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The 2019 Total magnetic Intensity (TMI) grid of Australia has a grid cell size of ~3 seconds of arc (approximately 80 m). This grid only includes airborne-derived TMI data for onshore and near-offshore continental areas. Since the sixth edition was released in 2015, data from 234 new surveys have been added to the database, acquired mainly by the State and Territory Geological Surveys. The new grid was derived from a re-levelling of the national magnetic grid database. The survey grids were levelled to each other, and to the Australia Wide Airborne Geophysical Survey (AWAGS), which serves as a baseline to constrain long wavelengths in the final grid. It is estimated that 33 500 000 line-kilometres of survey data were acquired to produce the 2019 grid data, about 2 000 000 line-kilometres more than for the previous edition. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. . This Magnetic Anomaly Map of Australia, Seventh Edition, 2020 - Enhanced Products Package - upward continued image (UC2km4kmRes) is a pseudocolour image of the TMI grid of the Magnetic Anomaly Map of Australia, Seventh Edition, 2019. This grid has a cell size of 0.00083 degrees (approximately 88m). This pseudocolour image shows the magnetic response of subsurface features with contrasting magnetic susceptibilities. The image can also be used to locate structural features such as dykes.

This digital publication, GPR 2013-1, contains data produced from airborne geophysical surveys conducted in 2012 for three separate blocks, the Southern Dishna River, Fox Hills, and Beaver Creek survey areas, in the Iditarod, Ophir, and Holy Cross quadrangles in western Alaska. The areas are in the Iditarod, Innoko, and Aniak mining districts. Aeromagnetic and electromagnetic (EM) data were acquired by helicopter for about 1029 sq miles. Fugro Airborne Survey's frequency-domain DIGHEM V system was used for the EM data. GPR 2013-1 includes (1) raw and processed linedata; (2) gridded, Google Earth, and Geotiff formats of the calculated linedata; (3) maps of the data; and (4) vector files of data contours and flight lines.

This digital publication, GPR 2009-1, contains data produced from airborne geophysical surveys conducted in 2008 for the Slate Creek-Slana River survey area in the Chistochina mining district, south-central Alaska. Aeromagnetic and electromagnetic (EM) data were acquired by helicopter for about 442 sq miles. Fugro Airborne Survey's frequency-_domain DIGHEM V system was used for the EM data. GPR 2009-1 includes (1) raw and processed linedata; (2) gridded data; (3) vector files of data contours and flight lines; and (4) maps of the data.