In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Point Sur to Point Arguello map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Point Sur to Point Arguello map area data layers. Data layers are symbolized as shown on the associated map sheets.

This layer contains the following mapping information at 1.1000 scale of the municipalities of Navarre: communication routes, constructions, hydrography, themed soil, altimetry, singular buildings, mapped area, infrastructure networks and other place names. The list of mapped municipalities is in the following URL: https://idena.navarra.es/descargas/Listado_de_municipios_cartografia_1000.pdf This layer contains the following mapping information at 1.1000 scale of the municipalities of Navarre:communication routes, constructions, hydrography, themed soil, altimetry, singular buildings, mapped area, infrastructure networks and other place names. The list of mapped municipalities is in the following URL: https://idena.navarra.es/descargas/Listado_de_municipios_cartografia_1000.pdf

http://www.victoria.ca/EN/main/online-services/maps/pdf-maps.html

A number of pre-made PDF maps are available for download on the City of Victoria website.

Downloadable H&T PDF City and County Maps.

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)

PDF Map of FCC Form 477 provider reported maximum download speeds by census block for January - June 2020. This map seeks to highlight areas that are undeserved by terrestrial broadband (fiber/cable/dsl on the ground), with "underserved" defined as down/up speeds less than 25/3 Mbps.These data represent a static snapshot of provider reported coverage between January 2020 and June 2020. Maps also depict the locations of federally recognized tribes, Alaskan communities, ANCSA and borough boundaries.Broadband coverage is represented using provider reported speeds under the FCC Form 477 the amalgamated broadband speed measurement category based on Form 477 "All Terrestrial Broadband" as a proxy for coverage. This field is unique to the NBAM platform. These maps do not include satellite internet coverage (and may not include microwave coverage through the TERRA network for all connected areas).This map was produced by DCRA using data provided by NTIA through the NBAM platform as part of a joint data sharing agreement undertaken in the year 2021. Maps were produced using the feature layer "NBAM Data by Census Geography v4": https://maps.ntia.gov/arcgis/home/item.html?id=8068e420210542ba8d2b02c1c971fb20Coverage is symbolized using the following legend:No data avalible or no terrestrial coverage: Grey or transparent< 10 Mbps Maximum Reported Download: Red10-25 Mbps Maximum Reported Download: Orange25-50 Mbps Maximum Reported Download: Yellow50-100 Mbps Maximum Reported Download: Light Blue100-1000 Mbps Maximum Reported Download: Dark Blue_Description from layer "NBAM Data by Census Geography v4":This layer is a composite of seven sublayers with adjacent scale ranges: States, Counties, Census Tracts, Census Block Groups, Census Blocks, 100m Hexbins and 500m Hexbins. Each type of geometry contains demographic and internet usage data taken from the following sources: US Census Bureau 2010 Census data (2010) USDA Non-Rural Areas (2013) FCC Form 477 Fixed Broadband Deployment Data (Jan - Jun 2020) Ookla Consumer-Initiated Fixed Wi-Fi Speed Test Results (Jan - Jun 2020) FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data. BroadbandNow Average Minimum Terrestrial Broadband Plan Prices (2020) M-Lab (Jan - Jun 2020)Some data values are unique to the NBAM platform: US Census and USDA Rurality values. For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S. Amalgamated broadband speed measurement categories based on Form 477. These include: 99: All Terrestrial Broadband Plus Satellite 98: All Terrestrial Broadband 97: Cable Modem 96: DSL 95: All Other (Electric Power Line, Other Copper Wireline, Other) Computed differences between FCC Form 477 and Ookla values for each area. These are reflected by six fields containing the difference of maximum, median, and minimum upload and download speed values.The FCC Speed Values method is applied to all speeds from all data sources within the custom-configured Omnibus service pop-up. This includes: Geography: State, County, Tract, Block Group, Block, Hex Bins geographies Data source: all data within the Omnibus, i.e. FCC, Ookla, M-Lab Representation: comparison tables and single speed values

The Digital Geologic-GIS Map of Mount Rainier National Park, Washington 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 (mora_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mora_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. 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.) this file (mora_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mora_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 (mora_geology_metadata_faq.pdf). Please read the mora_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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 (mora_geology_metadata.txt or mora_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 Google Earth, 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). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth.

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).

This 24-page booklet features outline maps of the World. The maps can be used for coloring and other fun activities by budding cartographers. These outline maps are great for teaching children about our World. Have them color and label countries, regions and bodies of water. After coloring the city maps, children can do further research to learn more about these places. Map pages created from this web map available on ArcGIS.com.See this blog with more details on how to work with the vector maps in ArcGIS Pro.

**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).**

Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

34 x 44 PDF of Oregon Congressional and legislative districts adopted in SB 882 in 2021.NOTE - 34 x 44 size maps have large file sizes and may take some computers awhile to fully open. If your PDF reader shows a blank white screen, zooming in should prompt the computer to refresh the page and show the map.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

This layer contains the following map information at a scale of 1.1000 for the municipalities of Navarra: communication routes, buildings, hydrography, themed soil, altimetry, unique buildings, mapped area, infrastructure networks and other place names. The list of municipalities mapped is in the following url: https://idena.navarra.es/downloads/List_of_municipalities_map_1000.pdf

This is a downloadable PDF of the Comprehensive Plan.This map is part of the City of Bend's printable map library and only updated periodically. Many of the maps have been formatted to print using large-format plotters and may not be legible when printed on letter-sized paper. Printed maps are available for purchase in a variety of sizes. Custom maps may also be requested. Please see our Fees and Services page for prices.An Interactive Map is also available which provides access to many of the same data layers that were used to create the maps found belowMap Last Updated: Jan 2025

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).**

34 x 44 PDF of Oregon Congressional and legislative districts adopted in SB 882 in 2021.NOTE - 34 x 44 size maps have large file sizes and may take some computers awhile to fully open. If your PDF reader shows a blank white screen, zooming in should prompt the computer to refresh the page and show the map.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

Montana FWP lands printable map 36x48 for Montana FWP Printable Map Catalog. Maps will be regularly updated as data updates occur.

8 1/2 x 11 PDF of Oregon Congressional districts adopted in SB 881A in 2021.PDF Maps:PDF Maps: Oregon Redistricting (arcgis.com)Oregon Redistricting Website:https://www.oregonlegislature.gov/redistricting/

City of Dunwoody Basic General Reference PDF Map

This layer includes the BGS 1:250k published maps. Maps in this series show three sorts of geological information; solid ‘bedrock’ geology, (S), Quaternary or ‘drift’ geology (Q), or sea-bed sediments (Ss). These are usually presented as separate sheets, although sea-bed sediments and Quaternary geology, or sea-bed sediments and solid geology may be shown on the same sheet. Quaternary geology maps are for offshore areas only. Sheets were published between 1977 and 2000 with a few special area sheets up to 2009. Sheets were issued on a regular grid based on the UTM of two degrees longitude by one degree latitude. Note the publication dates (latest mapping is available through the BGS digital maps). Map Index - https://www.bgs.ac.uk/data/maps/docs/OFF250k_coverage.pdf. List of Maps - https://www.bgs.ac.uk/data/maps/maps.cfc?method=listResults&mapName=&series=OFF250k&scale=&pageSize=174.