Ready to use PDF map of Lamar County, Texas including roads, city limits, and unincorporated communities. Dimensions are ANSI E 34 in x 44 in (864 mm x 1118 mm). PDF documents may be downloaded and viewed in PDF software such as Adobe Acrobat Reader. For questions, problems, or more information, contact gis@atcog.org Ark-Tex Council of Governments Homepage: https://atcog.org/Open Data Portal Homepage: https://open-data-portal-atcog.hub.arcgis.com/Reference in this site to any specific commercial product, process, service, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the Ark-Tex Council of Governments.

The Digital Geologic-GIS Map of the El Portal Quadrangle, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (elpt_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (elpt_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (elpt_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (yose_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (yose_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (elpt_geology_metadata_faq.pdf). Please read the yose_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (elpt_geology_metadata.txt or elpt_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Ready to use PDF map of Red River County, Texas including roads, city limits, and unincorporated communities. Dimensions are ANSI E 34 in x 44 in (864 mm x 1118 mm). PDF documents may be downloaded and viewed in PDF software such as Adobe Acrobat Reader. For questions, problems, or more information, contact gis@atcog.org Ark-Tex Council of Governments Homepage: https://atcog.org/Open Data Portal Homepage: https://open-data-portal-atcog.hub.arcgis.com/Reference in this site to any specific commercial product, process, service, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the Ark-Tex Council of Governments.

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

Portal gallery for all printable maps. These maps are PDF format.

This spatial polygon dataset displays the footprint location for each map product created by this department. This index provides access to download map products as a PDF. The index is regularly updated. Each record in the index dataset contains details for the map including; - link to download the map as a PDF - map name, map description, coverage location area and date created - link to the project metadata record All map products can be viewed and downloaded as a PDF via NR Maps. https://nrmaps.nt.gov.au/nrmaps.html See Layers: Map Products \ All Map Products. - Tick the layer to display the map footprint area in the map screen. - Right mouse click to make the layer active. - Select a feature on the map screen in your area of interest or; - Use the search panel to enter details and filter the records. - Review map details in the data panel (below the map screen) to download a map product (PDF).

A 36" x 36" (3 foot by 3 foot) PDF map of contour lines (elevation) in 2.5 meter intervals, in the City of Victoria. Contour lines data are from 2013, and the dataset is available for download on the Open Data Portal. This map may be used for printing.

Valley County Planning and Zoning map application includes visuals for floodplains, administrative boundaries, public lands, parcels and more. The application was originally created for Planning and Zoning administration to communicate more easily with the public and community through utilization of an interactive map. The application includes the ability to draw and mark up the map for personalized reference and pdf map creation. All layers included in the map have been requested specifically by the Planning and Zoning Department and include:PLANNING AND TAX PARCEL INFOMunicipal Boundaries (Received an updated McCall boundary from McCall GIS, so use the taxing districts for Cascade and Donnelly but append the McCall boundary for McCall)Parcel BoundariesExempt Parcel BoundariesImproved Parcel BoundariesSubdivisionsAddress PointsCity Impact AreasAssessor's Plats (PLSS Search .mxd)Points of InterestWATER AND IRRIGATIONFloodplains/Firm PanelsBase Flood ElevationWells (Idaho Department of Water Resources Feature Service)Irrigation Districts (Idaho Department of Water Resources Feature Service)Sewer and Water Districts (Idaho State Tax Commission Feature Service)Water Districts (Idaho State Tax Commission Feature Service)WetlandsTAXING DISTRICTS AND EMERGENCY RESPONSEHerd DistrictsCounty Boundaries (Idaho State Tax Commission Feature Service)Fire Districts (will not stream ISTC feature service because we want sub-districts in our maps)Emergency Response Service PointsPUBLIC LANDS*Did not use the BLM Surface Management layer because was not allowed to configure and change the symbology or popups to customize for our County, also do not have accurate US Bureau or Rec data in that layer.PLSS Grid System (ESRI Federal User Community Feature Service)Bureau of Land ManagementBureau of ReclamationIdaho Department of LandsFrank Church Wilderness (US Forest Service Feature Service)US Forest Service (US Forest Service Feature Service)USFS MVUM Roads (US Forest Service Feature Service)USFS Non-Motorized Trails (US Forest Service Feature Service)

The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*. Ecoforest maps in PDF format are available at a scale of 1/20,000 and cover Quebec territory approximately up to the 52nd parallel. Each map covers an average area of approximately 250 km2 and presents forest information for the territory concerned. Its accuracy is approximately 10 meters. These maps are an image of the current ecoforest map for the corresponding year. Maps 2021, 2022, 2023 and 2024 The maps 2021, 2022, 2023, as well as those of 2024 are produced from the up-to-date ecoforest map of the corresponding year. It represents the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the picture was taken. According to the maps, data using the forest stand inventory approach (AIPF) is included when available for a complete sheet. Main components: type of vegetation (forest species group, density class, class of density, class of height, age class, etc.) or type of AIPF vegetation (detailed forest species, density (%), height (m), age class, etc.); slope class; class of slope; nature of the terrain (peatlands, height class, age class, etc.); topography (level curves); fragmentation. 2019 and 2020 maps The 2019 maps, as well as those of 2020, are produced from up-to-date ecoforest maps of the corresponding year. They represent the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the photo-interpretation of aerial photographs from the 4th and 5th ecoforestry inventories of southern Quebec were taken. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in public forests. The information presented corresponds to the current ecoforest map of 2019 or 2020 as the case may be. On each of the maps, the name of the stands is expressed by the group of species. Main components: type of vegetation (forest species, density, height, height, age class, etc.); slope class; nature of the terrain (peatlands, gravel, etc.); hydrography (lakes, rivers, streams, streams, swamps, etc.); transport network and swamps, etc.); transport network and bridges; topography (level curves); fragmentation. Maps 2015 The 2015 maps are produced from the photo-interpretation of aerial photographs from the 3rd and 4th ecoforest inventories of southern Quebec. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (cutting and planting) carried out in public forests. The information presented corresponds to the 2015 updated ecoforest map. MAP FOR PRINTING (GEOREFERENCED)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Ready to use PDF map of Hopkins County, Texas including roads and city limits. Dimensions are ANSI E 34 in x 44 in (864 mm x 1118 mm). PDF documents may be downloaded and viewed in PDF software such as Adobe Acrobat Reader. For questions, problems, or more information, contact gis@atcog.org https://atcog.org/ Reference in this site to any specific commercial product, process, service, or the use of any trade, firm, or corporation name is for the information and convenience of the public, and does not constitute endorsement, recommendation, or favoring by the Ark-Tex Council of Governments.

A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS

This group of maps, which includes the CanMatrix and CanTopo collections, is now a legacy product that is no longer maintained. It may not meet current government standards. Natural Resources Canada's (NRCan) topographic raster maps provide a representation of the topographic phenomena of the Canadian landmass. Several editions of paper maps have been produced over time in order to offer improved products compared to their predecessors in terms of quality and the most up to date information possible. The georeferenced maps can be used in a Geographic Information System (GIS). In all cases, they accurately represent the topographical data available for the date indicated (validity date). The combination of CanMatrix and CanTopo data provides complete national coverage. • CanMatrix - Print Ready: Raster maps produced by scanning topographic maps at scales from 1:25 000 to 1:1 000 000. This product is not georeferenced. Validity dates: 1944 to 2005 (1980 on average). Available formats: PDF and TIFF • CanMatrix - Georeferenced: Raster maps produced by scanning topographic maps at scales of 1:50 000 and 1:250 000. These maps are georeferenced according to the 1983 North American Reference System (NAD 83). Validity dates: 1944 to 2005 (1980 on average). Available format: GeoTIFF • CanTopo: Digital raster maps produced mainly from the GeoBase initiative, NRCan digital topographic data, and other sources. Approximately 2,234 datasets (maps) at scale of 1:50 000, primarily covering northern Canada, are available. CanTopo datasets in GeoPDF and GeoTIFF format are georeferenced according to the 1983 North American Reference System (NAD 83). Validity dates: 1946 to 2012 (2007 on average). Available formats: PDF, GeoPDF, TIFF and GeoTIFF

The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

This platform aims to provide up-to-date and reliable geological, hydrogeological and geophysical data and information about Hungary’s geothermal energy resources via a user-friendly and publicly accessible site. We hope that this platform will help the preparatory work of national and international consortia aiming to invest into new geothermal projects in Hungary, as well as the every-day work of policy makers. Furthermore it aims to assist higher level education and also provide useful information to the public interested in geothermal energy. The portal has 2 parts: an interactive web-map viewer, where different geological, geothermal and other thematic maps, as well as boreholes and other relevant spatial data are displayed, and 3 moduls (benchmarking, decision tree, risk mitigation), which support geothermal project development from different aspects. The use of the web-map viewer and the moduls is described in the Users’ Manual ( https://map.mbfsz.gov.hu/ogre_en/melleklet/users_manual.pdf ). Maps presented on the portal are based on regional geoscientific models, therefore they provide a large-scale overview about the geothermal conditions of a certain territory, however they do not replace detailed exploration and pre-feasibility study necessary for a concrete project at local scale.

**Note that topographic maps at a scale of 1/100,000 are no longer updated. For the latest update date, see the metadata. The reference cartographic data is now constituted according to a continuous information layer approach: ** * AQRéseau+ * Geobase of the Quebec Hydrographic Network (GRHQ) * Administrative divisions at the scale of 1/20,000 (SDA)] (https://www.donneesquebec.ca/recherche/fr/dataset/decoupages-administratifs) * Geobase of the hydrographic terrain network of Quebec (GRHQ) * Administrative divisions at the scale of 1/20,000 (SDA) _ Topographic maps at a scale of 1/100,000 offer an overview of the occupation of Quebec territory at a scale of 1/100,000. A series in the south (266 sheets) and a series in the north (151 sheets) of the 53rd parallel cover the majority of Quebec. The data is less than 10 meters accurate and each file covers an area of approximately 4,000 km2, equivalent to 16 sheets at a scale of 1/20,000. Main components: * Hydrography (lakes of more than three hectares, permanent watercourses, swamps, etc.). * Vegetation (wooded areas and peatlands of more than 13 hectares). * Human constructions: * transport infrastructures (motorable roads, bridges, airports, etc.); * buildings larger than 12,500 m2; * buildings larger than 12,500 m2; * equipment and designated areas. * The relief (level curves at an equidistance). of 20 meters and elevation points). ##### Special features of the series south of the 53rd parallel * The data are obtained by a generalization of map data on a scale of 1/20,000. Between the 51st and the 53rd parallel, they are extracted from SPOT satellite imagery at 10 meters of resolution. * The data formats available for this series are: * Cover ArcInfo (vector); * GeoTIFF, CCL projection (matrix); * GeoTIFF, MTM projection (matrix); * GeoTIFF, MTM projection (matrix); * PDF (matrix); * PDF (matrix). ##### Special features of the series north of the 53rd parallel * The data is obtained by a generalization of map data from Natural Resources Canada (CanVec product) at a scale of 1:50,000. Multi-source data, namely data from Adresses Québec, data on airports and hydrobases from the Ministère des Transports du Québec, and data on reservoirs from Hydro-Québec, increase the quality of this cartographic product on a scale of 1/100,000. * The data format available for this series is: * FGDB (vector).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Maps at the links below are for general information only. The information shown is to be considered accurate only to the date shown on each map. All of the maps found on this page are not parcel specific. The PDF maps can be viewed by using Adobe Acrobat zoom in/zoom out tools. All maps found on this page are downloadable. Larger sizes are available in print from the Development Center. Please call 253-864-4165 for pricing.

These data depict the western United States Map Unit areas as defined by the USDA NRCS. Each Map Unit area contains information on a variety of soil properties and interpretations. The raster is to be joined to the .csv file by the field "mukey." We keep the raster and csv separate to preserve the full attribute names in the csv that would be truncated if attached to the raster. Once joined, the raster can be classified or analyzed by the columns which depict the properties and interpretations. It is important to note that each property has a corresponding component percent column to indicate how much of the map unit has the dominant property provided. For example, if the property "AASHTO Group Classification (Surface) 0 to 1cm" is recorded as "A-1" for a map unit, a user should also refer to the component percent field for this property (in this case 75). This means that an estimated 75% of the map unit has a "A-1" AASHTO group classification and that "A-1" is the dominant group. The property in the column is the dominant component, and so the other 25% of this map unit is comprised of other AASHTO Group Classifications. This raster attribute table was generated from the "Map Soil Properties and Interpretations" tool within the gSSURGO Mapping Toolset in the Soil Data Management Toolbox for ArcGIS™ User Guide Version 4.0 (https://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download?cid=nrcseprd362255&ext=pdf) from GSSURGO that used their Map Unit Raster as the input feature (https://gdg.sc.egov.usda.gov/). The FY2018 Gridded SSURGO Map Unit Raster was created for use in national, regional, and state-wide resource planning and analysis of soils data. These data were created with guidance from the USDA NRCS. The fields named "*COMPPCT_R" can exceed 100% for some map units. The NRCS personnel are aware of and working on fixing this issue. Take caution when interpreting these areas, as they are the result of some data duplication in the master gSSURGO database. The data are considered valuable and required for timely science needs, and thus are released with this known error. The USDA NRCS are developing a data release which will replace this item when it is available. For the most up to date ssurgo releases that do not include the custom fields as this release does, see https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/home/?cid=nrcs142p2_053628#tools For additional definitions, see https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcs142p2_053627.

The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

The gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS (Natural Resources Conservation Service) Soil & Plant Science Division (SPSD) composite ESRI file geodatabase that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase. The gNATSGO database contains a 10-meter raster of the soil map units and 70 related tables of soil properties and interpretations. It is designed to work with the SPSD gSSURGO ArcTools. Users can create full coverage thematic maps and grids of soil properties and interpretations for large geographic areas, such as the extent of a State or the conterminous United States. SSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. The current completion status of SSURGO mapping is displayed (PDF). STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods. The first version of gNATSGO was created in 2019. It is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. Three RSSs have been published as of 2019. These were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years. Resources in this dataset:Resource Title: Website Pointer for Gridded National Soil Survey Geographic Database (gNATSGO). File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625 The gNATSGO website provides an Overview slide presentation, Download links for gNATSGO databases (CONUS or States), ArcTools, Metadata, Technical Information, and Recommended Data Citations.

Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel.