The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php

The City of Ferndale’s Multi-Modal Plan presents a vision on how to improve and expand on opportunities for pedestrians, bicycles and transit users. It is in response to the growing demand for alternative forms of travel and the need to improve safety of those who choose to walk, bike or take transit. The plan looks at how the City may transform its streets into outstanding public spaces that are friendly to pedestrians, integrate facilities for bicyclists and transit users while continuing to serve the needs of motorized traffic. Ferndale’s vibrant downtown, surrounded by close-in residential areas on a tight grid of streets, provides an enviable foundation to build upon. Most residents are within convenient walking and bicycling distance to the majority of destinations in the city. This plan provides the guidance on how to capitalize on that good fortune and make Ferndale an outstanding walkable, bikable and transit friendly community. This map contains multiple layers of maps also available on the Ferndale Moves website, http://ferndalemoves.com/

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive layer (resdept) and surface rock size and cover. Accuracy and error estimated using a 10-fold cross validation indicated a range of model performances with coefficient of variation (R2) for models ranging from 0.20 to 0.76 with mean of 0.52 and a standard deviation of 0.12. Models of pH, om and ec had the best accuracy (R2 > 0.6). Most texture fractions, CaCO3, and SAR models had R2 values from 0.5-0.6. Models of kwfact, dbovendry, resdept, rock models, gypsum and awc had R2 values from 0.4-0.5 excepting near surface models which tended to perform better. Very fine sands and 200 cm estimates for other models generally performed poorly (R2 from 0.2-0.4), and sample size for the 200 cm models was too low for reliable model building. More than 90% of the soils data used was sampled since 2000, but some older samples are included. Uncertainty estimates were also developed by creating relative prediction intervals, which allow end users to evaluate uncertainty easily.

This course introduces basic layer property settings you can manage to provide a simplified, focused user experience.

This course teaches how to best symbolize your map data so that your audience gets the information that it needs.Goals Apply principles of map symbology to map features. Understand basic principles of map symbology.

layers used for maps in the report including in the appendix. Includes surveyed flood level results etc

GeoJSON and TopoJSON files (defined with .json file extensions) used in the dashboard's map layers.

Some of these layers are sourced from the original Boerne water supply dashboard. Other sources should be specified in the map layer resource description.

Ariah Park Flood Study and FRMS&P - spatial mapping layers

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Dataset contains framework layers compiled for representation on state reference map, scale 1:1.5 million. Line and polygon features only. Road, rail, waterbody and watercourse themes included. State coastline not included. ## Purpose Can be used as a framework layer for whole of state mapping or for a generalised framework for regional mapping. Not suitable for analysis. ## Dataset History Information was compiled and digitised in generalised form from 1:250 000 scale hard copy maps. The individual CAD files were combined into seamless form and converted to Lambert Conformal Conic projection, standard parallels 29 degrees and 35 degrees S, central meridian 135 degrees E. Subsequently the information was converted to GIS format and re-projected to the state standard LCC projection. ## Dataset Citation SA Department of Environment, Water and Natural Resources (2015) Topography - State Refence Map layers - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/431f9e07-7436-4820-9bfd-c90a0a6cc293.

A map with various base layers to be used as a template for creating thematic maps for the Napa County CWPP online maps. Most layers are from Napa County's online gis data catalog but some layers were derived from public data sources such as Wikipedia and others.

ArcGIS Online map preloaded with many commonly used GIS data layers.This map can be used as a template to make new online maps so that they contain these common layers or can be used on-the-fly to customize a map with the needed layers and answer a simple question or problem. This map is also preset to be a PLSS locator with the sections layer turned on (at a set extent) to displays the Township, Range & Section information in the popup window when clicked.

The Community Map (World Edition) web map provides a customized world basemap that is uniquely symbolized and optimized to display special areas of interest (AOIs) that have been created and edited by Community Maps contributors. These special areas of interest include landscaping features such as grass, trees, and sports amenities like tennis courts, football and baseball field lines, and more. This basemap, included in the ArcGIS Living Atlas of the World, uses the Community vector tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the layer items referenced in this map.

The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only trails with the symbol value of 5-12, 16, 17 are Forest Service System trails and contain data concerning their availability for motorized use. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the EDW. Click this link for full metadata description: Metadata _

Map layers.

This file set includes:Two raster datasets of marine ecosystems in Spencer Gulf produced for a cumulative impact assessment. There is one raster for the benthic ecosystems and one for the pelagic ecosystem. For each of the rasters there is an associated projection file with the same name.Two tiff files of the ecosystem maps (illustrating what they look like when plotted)A metadata text file with details of the spatial data layers and their projection - as well as sources of further information.

This resource links to the Texas Address and Base Layers Story Map (Esri ArcGIS Online web app) [1] that provides a graphical overview and set of interactive maps to download Texas statewide address points, as well as contextual map layers including roads, rail, bridges, rivers, dams, low water crossings, stream gauges, and others. The addresses were compiled over the period from June 2016 to December 2017 by the Center for Water and the Environment (CWE) at the University of Texas at Austin, with guidance and funding from the Texas Division of Emergency Management (TDEM). These addresses are used by TDEM to help anticipate potential impacts of serious weather and flooding events statewide.

For detailed compilation notes, see [2]. Contextual map layers will be found at [3] and [4].

November 2023 update: in 2019, TNRIS took over maintenance of the Texas Address Database, which is now updated annually as part of the StratMap program [5]. Also, TNRIS changed its name this year to the Texas Geographic Information Office (TxGIO). The StratMap and DataHub download sites still use the tnris.org domain but that may change .

References [1] Texas Address and Base Layers story map [https://arcg.is/19PWu1] [2] Texas-Harvey Basemap - Addresses and Boundaries [https://www.hydroshare.org/resource/3e251d7d70884abd928d7023e050cbdc/] [3] Texas Basemap - Hydrology Map Data [https://doi.org/10.4211/hs.adb14c9c073e4eee8be82fadb21a0a93/] [4] Texas Basemap - Transportation Map Data [https://www.hydroshare.org/resource/ab3a463be73c4fd988a492b5d1b4c573/] [5] TNRIS/TxGIO StratMap Address Points data downloads [https://tnris.org/stratmap/address-points/]

This file contains the map layers that were used to create the Eddy Arboretum - Web Map, which was then used to create the Eddy Arboretum Interactive Map. These files were created in ArcGIS Pro and then imported into ArcGIS Online. This file contains the files that were used to create a simulation of the original grid of the arboretum, including the minimum bounding geometry and the point_grid, which were created using ArcPy. The polygons were made on two separate grids for the east and northwest sections and then merged into one shapefile. Only the IFG_Arboretum_Lichen and the arboretum_merge are currently in the Web Map. arboretum_merge was renamed to Tree Species by Conservation Status.The grid was interpretted from the original 1937 map of the Eddy Arboretum, and was verified using a high-accuracy GPS. This is the first digitized version of this product. The lichen locations are less precise as they were GPSed with mobile satellite.You can find the full Eddy Arboretum Interactive Map (Web Experience) here. If you have questions or comments about the creation of this map or any specific details regarding the information within, please contact Kara Kaur Sanghera. Kara is now affiliated with the Department of Geography at the University of California, Los Angeles, and can be reached at karakaur01@ucla.edu. If you need to update the ArcGIS shapefiles found in this map, please contact Courtney Canning (courtney.a.canning@usda.gov) or Christopher Looney (christopher.looney@usda.gov).

This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) and the online Data Users Guide. These data were generated using 4,185,439 scenes from Landsat 5, 7, and 8 acquired between 16 March 1984 and 31 December 2019. Each pixel was individually classified into water / non-water using an expert system and the results were collated into a monthly history for the entire time period and two epochs (1984-1999, 2000-2019) for change detection. This mapping layers product consists of 1 image containing 7 bands. It maps different facets of the spatial and temporal distribution of surface water over the last 35 years. Areas where water has never been detected are masked.

This National Geographic Style Map (World Edition) web map provides a reference map for the world that includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings, and landmarks, overlaid on shaded relief and a colorized physical ecosystems base for added context to conservation and biodiversity topics. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri, National Geographic or any governing authority.This basemap, included in the ArcGIS Living Atlas of the World, uses the National Geographic Style vector tile layer and the National Geographic Style Base and World Hillshade raster tile layers.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Street Map (with Relief). It includes the World Hillshade layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project. Precise Tile Registration: The web map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.