NOAA’s National Geodetic Survey (NGS) is in the process of modernizing the National Spatial Reference System (NSRS). As part of NSRS Modernization, the State Plane Coordinate System (SPCS) will be updated to SPCS2022. This Web Map displays all four layers (Special Use Zones, Statewide Zones, Multizone Complete Zones, and Multizone Partial Zones) from the preliminary SPCS2022 zone layers. This map is intended for NGS customers, stakeholders, partners, and other constituents to view and provide feedback on the SPCS2022 zones that are being planned for release. NGS is performing internal reviews and working with constituents to finalize the zone designs. These zones are preliminary and should not be considered the final definitions. Web Map for the Alpha SPCS2022 ExperienceData SourcesInformation about SPCS2022 can be found on the SPCS2022 Alpha web pages.https://alpha.ngs.noaa.gov/SPCS/Exact preliminary zone definitions can be viewed at the SPCS2022 Alpha zone definition web page.https://alpha.ngs.noaa.gov/SPCS/zone-definitions.shtmlExact preliminary zone definitions can be downloaded from the SPCS2022 Alpha download page.https://alpha.ngs.noaa.gov/SPCS/download.shtmlPoint of ContactPlease email the NGS Information Center for any questions at ngs.infocenter@noaa.gov

U.S. State Plane Zones (NAD 1983) represents the State Plane Coordinate System (SPCS) Zones for the 1983 North American Datum within United States.

A one-week geophysical survey was conducted in the Las Vegas Bay part of Lake Mead during June 1-6, 2000 to acoustically map the surficial sediments and shallow subsurface geology of this part of the lake. The study was done by researchers from the U.S. Geological Survey, Coastal and Marine Geology Program in Woods Hole, MA and the University of Nevada at Las Vegas. The objective was to map the distribution, volume and acoustic character of sediment that has accumulated on the floor of this part of the lake. The need for systematic mapping of this part of the lake's floor is because pollutants associated with surface and groundwater enter the lake through Las Vegas Wash at the head of Las Vegas Bay. Some of the pollutants transported to the lake by this runoff are deposited with the sediments on the lake floor. Understanding the distribution of sediments in the lake is needed to establish an effective monitoring program. The study built upon a geophysical survey conducted by the USGS and UNLV in 1999 that covered the deeper water parts of Las Vegas Bay and Boulder Basin. This year's survey focussed on the shallow water parts of the head of Las Vegas Bay with particular attention being directed at Las Vegas, Gypsum and Government Washes. Of these three Washes, the most effort was put into surveying Las Vegas Wash. This survey was conducted with an Edgetech DF-1000 sidescan sonar, a Knudsen high-resolution chirp subbottom profiling system, a Garmin fathometer, and P-Code GPS navigation. All data were logged digitally.

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. Database that provides special browsing capabilities for a subset of organisms in Entrez Genomes. Map Viewer allows users to view and search an organism's complete genome, display chromosome maps, and zoom into progressively greater levels of detail, down to the sequence data for a region of interest. If multiple maps are available for a chromosome, it displays them aligned to each other based on shared marker and gene names, and, for the sequence maps, based on a common sequence coordinate system.

U.S. State Plane Zones (NAD 1927) represents the State Plane Coordinate System (SPCS) zones for the 1927 North American Datum in the United States. Several State Plane Coordinate System zones are not shown in this dataset, including Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam, and Louisiana's offshore zone. Esri created this dataset from several sources in 1997: Extracted state boundaries from ArcUSA™ 1:25M. Created state plane boundaries based on a graphic in the article, "A National Reference System and its Relationship to Mapping" by Alden P. Colvocoresses at the U.S. Geological Survey (USGS), and John P. Snyder's "An Album of Map Projections: A Working Manual" (1987: USGS Professional Paper 1395. U.S. Government Printing Office: Washington, D.C.).To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA State Plane Zones.

'This file is a digital geospatial Environmental Systems Research Institute (Esri) ArcGIS polygon feature class of the tile index for Cook, DuPage, Grundy, Kane, Kendall, Lake, McHenry, and Will County, Illinois. Each tile is 2,500' on a side, and covers an area of 6,250,000 square feet or 143 acres. There are a total of 18,905 tiles, and each tile represents the boundary or extent of each ortho image. This dataset includes a coordinate based tile identification number, a delivery area number, and a project tile category. The delivery area numbers and project tile attributes are a proprietary classification that are unique to this project. This dataset is stored within an ArcGIS 10.1 geodatabase. This dataset is projected using the Transverse Mercator map projection. The grid coordinate system used is the Illinois State Plane Coordinate System, East Zone (Zone Number Zone 3776, FIPS 1201), NAD 83 NSRS2007 (horizontal datum), with ground coordinates expressed in U.S. Survey Feet.'An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_HARN_StatePlane_Illinois_East_FIPS_1201 Resolution: 6 inch Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_16N Standard Product Resolution: 0.1500 m Rows: 10000 Columns: 10000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2.

U.S. State Plane Zones (NAD 1983) represents the State Plane Coordinate System (SPCS) Zones for the 1983 North American Datum within United States.

Several State Plane Coordinate System zones are not shown in this dataset, including Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam, and Louisiana's offshore zone.

USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geoaddresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America. The data is separated into three groups, Small Scale Grids, 1000m Grids, and 100m Grids. The small scale grid group contains grids shown at smaller scales including the 6 x 8 decimal degree grids, the 100000m grids, and the 10000m grids. The 1000m grid group shows 1,000 meter grid squares. Due to the large volume of 1000m data, the 1000m grids are separate into UTM zones. This speeds up the querying time of the 1000m grids. The 100m grid group contains 100m grids for various metropolitan area in the U.S. and Puerto Rico. These metropolitan areas are further separate into time zones so it's easier to navigate through the Table of Contents to find a metro area.

USNG is standard that established a nationally consistent grid reference system. It provides a seamless plane coordinate system across jurisdictional boundaries and map scales; it enables precise position referencing with GPS, web map portals, and hardcopy maps. USNG enables a practical system of geo-addresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America. This layer shows 6-degree by 8-degree grid squares.

The Natural Resources Conservation Service Locator Map for Block Diagrams contains more than 3,750 block diagrams (line drawings) from published soil surveys. Most of the diagrams relate soils to landscape positions. Each point on the interactive map indicates the location of a soil survey area for which a block diagram is available online. Click on an individual point for details. The points do not indicate a specific location illustrated by a diagram. Only one point is shown per survey area. In many cases, more than one diagram is available per survey area. A detailed spreadsheet provides information on all available diagrams. Resources in this dataset:Resource Title: Locator Map for Block Diagrams. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detailfull/soils/survey/geo/?cid=nrcs142p2_054317 Each point on the map indicates the location of a soil survey area for which a block diagram is available online. Click on an individual point for details. The points do not indicate a specific location illustrated by a diagram. Only one point is shown per survey area. In many cases, more than one diagram is available per survey area. For all available diagrams, see the spreadsheet.

Data content: Buildings, roads, forests, green areas, water areas, road names, water labels and house numbers The city maps are available for download in the following target coordinate systems: EPSG31255 — National Coordinate System for Central Austria, EPSG3857 — Web Mercator Auxiliary Sphere, EPSG4326 WGS84 — Reference system of GPS data No liability can be assumed for any errors or inaccuracies. Plans with higher accuracy, additional information content or other data forms (coordinate systems) can be ordered from PTUVGI. Contact address: PTU-GEO@mag.linz.at

Geoscience Australia has been deriving raster sediment datasets for the continental Australian Exclusive Economic Zone (AEEZ) using existing marine samples collected by Geoscience Australia and external organisations. Since seabed sediment data are collected at sparsely and unevenly distributed locations, spatial interpolation methods become essential tools for generating spatially continuous information. Previous studies have examined a number of factors that affect the performance of spatial interpolation methods. These factors include sample density, data variation, sampling design, spatial distribution of samples, data quality, correlation of primary and secondary variables, and interaction among some of these factors. Apart from these factors, a spatial reference system used to define sample locations is potentially another factor and is worth investigating. In this study, we aim to examine the degree to which spatial reference systems can affect the predictive accuracy of spatial interpolation methods in predicting marine environmental variables in the continental AEEZ. Firstly, we reviewed spatial reference systems including geographic coordinate systems and projected coordinate systems/map projections, with particular attention paid to map projection classification, distortion and selection schemes; secondly, we selected eight systems that are suitable for the spatial prediction of marine environmental data in the continental AEEZ. These systems include two geographic coordinate systems (WGS84 and GDA94) and six map projections (Lambert Equal-area Azimuthal, Equidistant Azimuthal, Stereographic Conformal Azimuthal, Albers Equal-Area Conic, Equidistant Conic and Lambert Conformal Conic); thirdly, we applied two most commonly used spatial interpolation methods, i.e. inverse distance squared (IDS) and ordinary kriging (OK) to a marine dataset projected using the eight systems. The accuracy of the methods was assessed using leave-one-out cross validation in terms of their predictive errors and, visualization of prediction maps. The difference in the predictive errors between WGS84 and the map projections were compared using paired Mann-Whitney test for both IDW and OK. The data manipulation and modelling work were implemented in ArcGIS and R. The result from this study confirms that the little shift caused by the tectonic movement between WGS84 and GDA94 does not affect the accuracy of the spatial interpolation methods examined (IDS and OK). With respect to whether the unit difference in geographical coordinates or distortions introduced by map projections has more effect on the performance of the spatial interpolation methods, the result shows that the accuracies of the spatial interpolation methods in predicting seabed sediment data in the SW region of AEEZ are similar and the differences are considered negligible, both in terms of predictive errors and prediction map visualisations. Among the six map projections, the slightly better prediction performance from Lambert Equal-Area Azimuthal and Equidistant Azimuthal projections for both IDS and OK indicates that Equal-Area and Equidistant projections with Azimuthal surfaces are more suitable than other projections for spatial predictions of seabed sediment data in the SW region of AEEZ. The outcomes of this study have significant implications for spatial predictions in environmental science. Future spatial prediction work using a data density greater than that in this study may use data based on WGS84 directly and may not have to project the data using certain spatial reference systems. The findings are applicable to spatial predictions of both marine and terrestrial environmental variables.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

U.S. National GridThis feature layer, utilizing data from the Federal Geographic Data Committee (FGDC), displays the U.S. National Grid (USNG). The FGDC provides standards for a National Grid. Per the FGDC, "The objective of this standard is to create a more favorable environment for developing location-based services within the United States and to increase the interoperability of location services appliances with printed map products by establishing a nationally consistent grid reference system as the preferred grid for National Spatial Data Infrastructure (NSDI) applications. This standard defines the US National Grid. The U.S. National Grid is based on universally defined coordinate and grid systems and can, therefore, be easily extended for use world-wide as a universal grid reference system."Note: popups can be viewed for the USNG 1000m and USNG 100m layers.Note: the USNG 100m layer is only displayed for certain cities. To view those places, please select a row in the attribute table and then center (zoom) on selection.U.S. National Grid - Grid Zone DesignationsTop: 100,000-meter and 10,000-meter Square IdentificationsBottom: 1,000-meter and 100-meter Square IdentificationsData downloaded: October, 2011Data modifications: The Percent Complete field was removed from all layers. The following fields were added to the original data for layers:USNG 1000m - UTM ZoneUSNG 100m - Place; RegionFor more information:Standard for a U.S. National GridUnited States National GridHow to read a United States National Grid (USNG) spatial addressFor feedback, please contact: ArcGIScomNationalMaps@esri.comFederal Geographic Data Committee (FGDC)Per the FGDC, "The Federal Geographic Data Committee (FGDC) is an organized structure of Federal geospatial professionals and constituents that provide executive, managerial, and advisory direction and oversight for geospatial decisions and initiatives across the Federal government. In accordance with Office of Management and Budget (OMB) Circular A-16, the FGDC is chaired by the Secretary of the Interior with the Deputy Director for Management, OMB as Vice-Chair."

Since 2001, the ZM 10 is produced using digital technology from the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) and the database of geographic names of the Czech Republic Geonames. Data are derived directly from the cartographic database Data10 of technology line IS SMD. The resolution of rasters is 800 dpi and the color depth is 24 bit. The distribution is in TIFF format (LZW compression). The export units are 2x2 km segments with edges parallel to S-JTSK datum axes. Segments are georeferenced in the coordinate system using text files (TFW) for S-JTSK Krovak EN and WGS 84 / UTM zone 33N projections.

Since 2001, the ZM 10 is produced using digital technology from the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) and the database of geographic names of the Czech Republic Geonames. Data are derived directly from the cartographic database Data10 of technology line IS SMD. The resolution of rasters is 800 dpi and the color depth is 24 bit. The distribution is in TIFF format (LZW compression). The export units are 2x2 km segments with edges parallel to S-JTSK datum axes. Segments are georeferenced in the coordinate system using text files (TFW) for S-JTSK Krovak EN and WGS 84 / UTM zone 33N projections.

Iowa State Plane Boundaries used by Iowa DOT. These boundaries were modified for Iowa DOT use only. They may not reflect exact location.

Since 2001, the ZM 10 is produced using digital technology from the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) and the database of geographic names of the Czech Republic Geonames. Data are derived directly from the cartographic database Data10 of technology line IS SMD. The resolution of rasters is 800 dpi and the color depth is 24 bit. The distribution is in TIFF format (LZW compression). The export units are 2x2 km segments with edges parallel to S-JTSK datum axes. Segments are georeferenced in the coordinate system using text files (TFW) for S-JTSK Krovak EN and WGS 84 / UTM zone 33N projections.

A city map has been stored for the entire city area of Linz (data update: 07/2016): 1 position file in TFW format, 1 image file (TIF) for total Linz with a floor resolution of 25 cm

Data content: Buildings, roads, forests, green areas, water areas, road names, water labels and house numbers

The city maps are available for download in the following target coordinate systems: EPSG31255 — National Coordinate System for Central Austria, EPSG3857 — Web Mercator Auxiliary Sphere, EPSG4326 WGS84 — Reference system of GPS data

No liability can be assumed for any errors or inaccuracies. Plans with higher accuracy, additional information content or other data formats (coordinate systems) can be ordered from PTUVGI.

Contact address: PTU-GEO@mag.linz.at

A. SUMMARY This dataset contains Public Works coordinated projects with other city agencies and utilities companies. Each row contains project names, phases, status, contacts, and locations. It is replacing the Envista project datasets.

B. HOW THE DATASET IS CREATED This dataset is extracted from the DotMaps system via API.

C. UPDATE PROCESS This datasets is refreshed daily, though the underlying data generally updates on a monthly basis.

D. HOW TO USE THIS DATASET You can use this dataset to map out coordinated projects between Public Works, other city agencies, and utilities companies around the city of San Francisco.

Data content: Buildings, roads, forests, green areas, water areas, road names, water labels and house numbers The city maps are available for download in the following target coordinate systems: EPSG31255 — National Coordinate System for Central Austria, EPSG3857 — Web Mercator Auxiliary Sphere, EPSG4326 WGS84 — Reference system of GPS data No liability can be assumed for any errors or inaccuracies. Plans with higher accuracy, additional information content or other data forms (coordinate systems) can be ordered from PTUVGI. Contact address: PTU-GEO@mag.linz.at