Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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 Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date.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.
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.
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Used to delineate boundaries for each page and GPS grid of the DeLorme Gazetteer. The longitudinal grid lines are at 5 minutes and 15 second intervals and latitudinal grids are labeled at 3 minute and 10 second intervals. This is believed to be compatible with all editions of the Gazetteer.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
speed
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.
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.
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.
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.
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, 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.
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.
The City of Aurora, Colorado sits in three different counties: Adams County, Arapahoe County, and Douglas County and lies just east of the City and County of Denver. The city's population was estimated at 375,000 on July 1, 2018. This web map application presents licensed business within the City of Aurora.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset was generated based on a map extract from May 11, 2016. This is an unofficial extract of the ENTSO-E interactive map of the European power system (including to a limited extent North Africa and the Middle East). The dataset has been processed by GridKit to form complete topological connections. This dataset is neither approved nor endorsed by ENTSO-E.
This dataset may be inaccurate in several ways, notably:
All users are advised to exercise caution in the use of this dataset. No liability is taken for inaccuracies.
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.
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.
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.
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.
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 2011-4, contains Fugro Airborne Surveys' analysis and interpretation of data produced from airborne geophysical surveys published by DGGS in 2011 (GPR 2011-2) of the Iditarod survey area. Fugro Airborne Surveys' frequency-domain DIGHEM V system was used for the EM data. GPR 2011-4 includes (1) Fugro's project report with interpretation and detailed EM Anomalies in tabular format, (2) Multi-channel stacked profiles in pdf format, and (3) interpretation and em anomalies are each provided as Geotiffs and maps. The document gpr2011_004_readme (.txt and .pdf) lists all files included in this publication. Other supporting files include gpr2011-4_browsegraphic.pdf, gpr2011-4_emanomaly_readme.pdf. The airborne data were acquired and processed under contract between the State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys (DGGS), and Fugro GeoServices, Inc. Fugro Airborne Surveys, the subcontractor, acquired and processed the data in 2010 and 2011.
This digital publication, GPR 2011-2, contains data produced from airborne geophysical surveys conducted in 2010 for the Iditarod survey area in the Innoko, Iditarod, and Ophir mining districts, Iditarod and Ophir quadrangles, western Alaska. Aeromagnetic and electromagnetic (EM) data were acquired by helicopter for about 852 sq miles. Fugro Airborne Survey's frequency-domain DIGHEM V system was used for the EM data. GPR 2011-2 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 2008-3, contains data produced from airborne geophysical surveys conducted in 2007 and 2008 for the Styx River Survey area, southcentral Alaska. Aeromagnetic and electromagnetic data were acquired for about 715 sq miles. Data provided in GPR 2008-3 include (1) raw and processed linedata in Geosoft ASCII XYZ files, (2) gridded files of magnetic data, a calculated vertical magnetic gradient (first vertical derivative), apparent resistivity data, and a digital elevation model, (3) flight lines in vector format, and maps of the data in PDF format. Data are described in more detail in the 'gpr2008_003_readme.pdf' and 'Styx-Linedata.txt' files included on the DVD.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The sheet section of the Austrian map 1:50 000 is 20‘x12’ and is based on round geographical grid lines. The average area of a leaf area bounded by the grid lines is 560 km². The federal territory is covered with 191 map sheets. The sheet numbering of the Austrian card 1:50 000 is carried out by four digits. The first two digits describe a range of 2 longitudes x 1 latitude, the two following digits indicate the leaf position within this range, with a consecutive numbering of 1 – 30 from top left to bottom right. Each sheet of the Austrian map 1:50 000 receives a sheet name in addition to the number, which generally results from the name of the largest town or other significant geographical term.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.