This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

This layer is designed to support exporting small volumes of basemap tiles for offline use. The content of this layer is equivalent to World Imagery. World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. See World Imagery for more details.The map service supporting this layer will enable you to export up to 150,000 tiles in a single request. For estimation purposes, this is large enough to support the export of:Large city (e.g. San Francisco) down to full level of detail at ~1:1,000 scale (Level 19)Medium size state or province (e.g. Colorado) down to scale of ~1:36,000 (Level 14)Medium to large country (e.g. Continental United States) down to scale of ~1:288,000 (Level 11)This layer is not intended to be used to display live map tiles for use in a web map or web mapping application. To display map tiles, please use World Imagery basemap.Service Information for DevelopersTo export tiles for World Imagery, you must use the instance of the World_Imagery service hosted on the tiledbasemaps.arcgis.com server referenced by this layer (see URL in Contents below), which has the Export Tiles operation enabled. This layer is intended to support export of basemap tiles for offline use in ArcGIS applications and other applications built with an ArcGIS Runtime SDK.

Water bodies are a key element in the landscape. This layer provides a global map of large water bodies for use in landscape-scale analysis.Dataset SummaryThis layer provides access to a 250m cell-sized raster of surface water created by extracting pixels coded as water in the Global Lithological Map and the Global Landcover Map. The layer was created by Esri in 2014.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

The arrangement of water in the landscape affects the distribution of many species including the distribution of humans. This layer provides a landscape-scale estimate of the distance from large water bodies.Dataset SummaryThis layer provides access to a 250m cell-sized raster of distance to surface water. To facilitate mapping, the values are in units of pixels. To convert this value to meters multiply by 250. The layer was created by extracting surface water values from the World Lithology and World Land Cover layers to produce a surface water layer. The distance from water was calculated using the ArcGIS Euclidian Distance Tool. The layer was created by Esri in 2014.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

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.

This dataset contains 4 different scale GEODATA TOPO series, Geoscience Australia topographic datasets. 1M, 2.5M, 5M and 10M with age ranges from 2001 to 2004.

1:1 Million - Global Map Australia 1M 2001 is a digital dataset covering the Australian landmass and island territories, at a 1:1 million scale. Product Specifications -Themes: It consists of eight layers of information: Vector layers - administrative boundaries, drainage, transportation and population centres Raster layers - elevation, vegetation, land use and land cover -Coverage: Australia -Currency: Variable, based on GEODATA TOPO 250K Series 1 -Coordinates: Geographical -Datum: GDA94, AHD -Medium: Free online -Format: -Vector: ArcInfo Export, ESRI Shapefile, MapInfo mid/mif and Vector Product Format (VPF) -Raster: Band Interleaved by Line (BIL)

1:2.5 Million - GEODATA TOPO 2.5M 2003 is a national seamless data product aimed at regional or national applications. It is a vector representation of the Australian landscape as represented on the Geoscience Australia 2.5 million general reference map and is suitable for GIS applications. The product consists of the following layers: built-up areas; contours; drainage; framework; localities; offshore; rail transport; road transport; sand ridges; Spot heights; and waterbodies. It is a vector representation of the Australian landscape as represented on the Geoscience Australia 1:2.5 million scale general reference maps. This data supersedes the TOPO 2.5M 1998 product through the following characteristics: developed according to GEODATA specifications derived from GEODATA TOPO 250K Series 2 data where available. Product Specifications Themes: GEODATA TOPO 2.5M 2003 consists of eleven layers: built-up areas; contours; drainage; framework; localities; offshore; rail transport; road transport; sand ridges; spot heights; and waterbodies Coverage: Australia Currency: 2003 Coordinates: Geographical Datum: GDA94, AHD Format: ArcInfo Export, ArcView Shapefile and MapInfo mid/mif Medium: Free online - Available in ArcInfo Export, ArcView Shapefile and MapInfo mid/mif

1:5 Million - GEODATA TOPO 5M 2004 is a national seamless data product aimed at regional or national applications. It is a vector representation of the Australian landscape as represented on the Geoscience Australia 5 million general reference map and is suitable for GIS applications. Offshore and sand ridge layers were sourced from scanning of the original 1:5 million map production material. The remaining nine layers were derived from the GEODATA TOPO 2.5M 2003 dataset. Free online. Available in ArcInfo Export, ArcView Shapefile and MapInfo mid/mif. Product Specifications: Themes: consists of eleven layers: built-up areas; contours; drainage; framework; localities; offshore; rail transport; road transport; sand ridges, spot heights and waterbodies Coverage: Australia Currency: 2004 Coordinates: Geographical Datum: GDA94, AHD Format: ArcInfo Export, ArcView Shapefile and MapInfo mid/mif Medium: Free online

1:10 Million - The GEODATA TOPO 10M 2002 version of this product has been completely revised, including the source information. The data is derived primarily from GEODATA TOPO 250K Series 1 data. In October 2003, the data was released in double precision coordinates. It provides a fundamental base layer of geographic information on which you can build a wide range of applications and is particularly suited to State-wide and national applications. The data consists of ten layers: built-up areas, contours, drainage, Spot heights, framework, localities, offshore, rail transport, road transport, and waterbodies. Coverage: Australia Currency: 2002 Coordinates: Geographical Datum: GDA94, AHD Format: ArcInfo Export, Arcview Shapefile and MapInfo mid/mif Medium: Free online

Dataset History

1:1Million - Vector data was produced by generalising Geoscience Australia's GEODATA TOPO 250K Series 1 data and updated using Series 2 data where available in January 2001. Raster data was sourced from USGS and updated using GEODATA 9 Second DEM Series 2, 1:5 million, Vegetation - Present (1988) and National Land and Water Resources data. However, updates have not been subjected to thorough vetting. A more detailed land use classification for Australia is available at www.nlwra.gov.au.

Full Metadata - http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_48006

1:2.5Million - Data for the Contours, Offshore, and Sand ridge layers was captured from 1:2.5 million scale mapping by scanning stable base photographic film positives of the original map production material. The key source material for Built-up areas, Drainage, Spot heights, Framework, Localities, Rail transport, Road transport and Waterbodies layers was GEODATA TOPO 2.5M 2003

Full Metadata - http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_60804

1:5Million - Offshore and Sand Ridge layers have been derived from 1:5M scale mapping by scanning stable base photographic film positives of the various layers of the original map production material. The remaining layers were sourced from the GEODATA TOPO 2.5M 2003 product.

Full Metadata - http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_61114

1:10Million - The key source for production of the Builtup Areas, Drainage, Framework, Localities, Rail Transport, Road Transport and Waterbodies layers was the GEODATA TOPO 250K Series 1 product. Some revision of the Builtup Areas, Road Transport, Rail Transport and Waterbodies layers was carried out using the latest available satelite imagery. The primary source for the Spot Heights, Contours and Offshore layers was the GEODATA TOPO 10M Version 1 product. A further element to the production of GEODATA TOPO 10M 2002 has been the datum shift from the Australian Geodetic Datum 1966 (AGD66) to the Geocentric Datum of Australia 1994 (GDA94).

Full Metadata - http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_60803

Dataset Citation

Geoscience Australia (2001) Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale. Bioregional Assessment Source Dataset. Viewed 09 October 2018, http://data.bioregionalassessments.gov.au/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a.

Tutoriel d'utilisation du site Open Data de l'agglomération de BourgesPlus, expliquant la procédure pour télécharger d'un fichier .csv et l'exploiter sous Excel ou libre office

This data set contains OCS block outlines in ESRI Arc/Info export and Arc/View shape file formats for the MMS Atlantic Region. OCS blocks are used to define small geographic areas within an Official Protraction Diagram (OPD) for leasing and administrative purposes. These blocks have been clipped along the Submerged Lands Act (SLA) boundary and along lines contained in the Continental Shelf Boundaries (CSB) GIS data files. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are NOT an OFFICIAL record for the exact OCS block boundaries. Only the paper document or a digital image of it serve as OFFICIAL records. The data was developed within the U.S. Government; no proprietary rights may be attached to them nor may they be sold to the U.S. Government as part of any procurement of ADP products or services.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/UtilityTelecom/MD_OffshoreWindEnergyPlanning/FeatureServer/1

This file presents, as of 10 June 2024, for Metropolitan France, all the underground lines of the public electricity transmission network managed by RTE. You will find in the Export tab the different formats available, including ShapeFile. This dataset presents the sections as a broken line of identical characteristics. If multiple power lines share the same towers, they are listed in the attributes Line code n, Line name n, Line owner n. A complete line may require consolidation of multiple entries in the Overhead Lines and Underground Lines datasets if applicable as soon as its identifier appears in one of the Line Code fields. In this dataset, work identifiers refer to Transit Links (LIT - business object), while work names are the names of Links (which are a set of LITs, delimited by substations). Since a link is composed of one or more LITs, it is normal to find several objects with the same work name, while having a different identifier. The change from the old cutting (until June 2022) is the export of broken lines of identical characteristics instead of exporting only right-hand segments. There are therefore much fewer entities to manipulate, from around 355000 underground to less than 4500 also reducing the volume of files. Geographic accuracy has been improved. This new division will be the only one maintained from December 2022. In addition to this dataset, for access to our mobility infrastructure data, you will find the open data map on our ArcGis Online system accessible on PC here or on the move by opening the map in ArcGIS Field Maps: INSPIRE TEN Network. This dataset is shared within the framework of Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). The INSPIRE Directive applies to digital spatial data held by public authorities and requires data to be made available in accordance with harmonised technical specifications. For further information on this dataset, write to: rte-inspire-infos@rte-france.com. The publication of this dataset does not exempt the user from his regulatory obligation under the anti-damage decree (DT/DICT) in the event of works or consultation of the Urban Planning Geoportal for urban planning applications (Servitudes).

WSDOT template for Esri file geodatabase polygon feature class. Template has pre-defined attribute schema to help users create data that is more consistent or compliant with agency standards. Metadata has been created using the FGDC metadata style but stored in the ArcGIS format. Content presentation will change upon export to FGDC format.This service is maintained by the WSDOT Transportation Data, GIS & Modeling Office. If you are having trouble viewing the service, please contact Online Map Support at onlinemapsupport@wsdot.wa.gov.

The UAS Facility Maps are designed to identify permissible altitudes (above ground level) at which UAS, operating under the Small UAS Rule (14 CFR 107), can be authorized to fly within the surface areas of controlled airspace. These altitude parameters, provided by the respective air traffic control facilities, are criteria used to evaluate airspace authorization requests (14 CFR 107.41), submitted via FAA.GOV/UAS. Airspace authorization requests for altitudes in excess of the predetermined map parameters will require a lengthy coordination process. This dataset will be continually updated and expanded to include UAS Facility Maps for all controlled airspace by Fall 2017. This map is not updated in real time. Neither the map nor the information provided herein is guaranteed to be current or accurate. Reliance on this map constitutes neither FAA authorization to operate nor evidence of compliance with applicable aviation regulations in or during enforcement proceedings before the National Transportation Safety Board or any other forum. Disclaimer of Liability. The United States government will not be liable to you in respect of any claim, demand, or action—irrespective of the nature or cause of the claim, demand, or action—alleging any loss, injury, or damages, direct or indirect, that may result from the use or possession of any of the information in this draft map or any loss of profit, revenue, contracts, or savings or any other direct, indirect, incidental, special, or consequential damages arising out of any use of or reliance upon any of the information in this draft map, whether in an action in contract or tort or based on a warranty, even if the FAA has been advised of the possibility of such damages. The FAA’s total aggregate liability with respect to its obligations under this agreement or otherwise with respect to the use of this draft map or any information herein will not exceed $0. Some States, Territories, and Countries do not allow certain liability exclusions or damages limitations; to the extent of such disallowance and only to that extent, the paragraph above may not apply to you. In the event that you reside in a State, Territory, or Country that does not allow certain liability exclusions or damages limitations, you assume all risks attendant to the use of any of the information in this draft map in consideration for the provision of such information. Export Control. You agree not to export from anywhere any of the information in this draft map except in compliance with, and with all licenses and approvals required under, applicable export laws, rules, and regulations. Indemnity. You agree to indemnify, defend, and hold free and harmless the United States government from and against any liability, loss, injury (including injuries resulting in death), demand, action, cost, expense, or claim of any kind or character, including but not limited to attorney’s fees, arising out of or in connection with any use or possession by you of this draft map or the information herein. Governing Law. The above terms and conditions will be governed by the laws of each and every state within the United States, without giving effect to that state’s conflict-of-laws provisions. You agree to submit to the jurisdiction of the state or territory in which the relevant use of any of the information in this draft map occurred for any and all disputes, claims, and actions arising from or in connection with this draft map or the information herein.

This service is available to all ArcGIS Online users with organizational accounts. For more information on this service, including the terms of use, visit us online at http://goto.arcgisonline.com/landscape6/World_Bioclimates.Climate plays a major role in determining the distribution of plants and animals. Bioclimatology, the study of climate as it affects and is affected by living organisms, is key to understanding the patterns of forests and deserts on the landscape, where productive agricultural lands may be found, and how changes in the climate will affect rare species. This layer is part of the Ecophysiographic Project and is one of the four input layers used to create the World Ecological Land Units Map.Dataset Summary This layer provides access to a 250m cell-sized raster with a bioclimatic stratification. The source dataset was a 30-arcsecond resolution raster (equivalent to 0.86 km2 at the equator or about a 920m pixel size). The layer has the following attributes: Temperature Description - Seven classes based on the number of growing degree days (the monthly mean temperature multiplied by number of days in the month summed for all months). The 1950 to 2000 monthly average temperature was used to calculate growing degree days. Values in this field and associated number of growing degree days are:Temperature DescriptionGrowing Degree DaysVery Hot9,000 – 13,500Hot7,000 – 9,000Warm4,500 – 7,000Cool2,500 – 4,500Cold1,000 – 2,500Very Cold300 – 1,000Arctic0 - 300Aridity Description - Six classes based on an index of aridity calculated by dividing precipitation by evapotranspiration. Precipitation and evapotranspiration are average values from 1950 to 2000.Aridity DescriptionAridity IndexVery Wet1.5 – 70Wet1.0 – 1.5Moist0.6 – 1.0Semi-dry0.3 – 0.6Dry0.1 – 0.3Very Dry0.01 – 0.1Bioclimate Class - a 2-part description that combines the value of the Temperature Description field and the Aridity Description field. The alias for this field is ELU Bioclimate Reclass. This layer was created by modifying the dataset documented in the publication: Metzger and others. 2012. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. What can you do with this layer? This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. A service is available providing access to the data table associated with this layer. The data table services can be used by developers to quickly and efficiently query the data and to create custom applications. For more information see the World Ecophysiographic Tables.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

This webmap a subset of World Bioclimate Feature Service.Climate plays a major role in determining the distribution of plants and animals. Bioclimatology, the study of climate as it affects and is affected by living organisms, is key to understanding the patterns of forests and deserts on the landscape, where productive agricultural lands may be found, and how changes in the climate will affect rare species. This layer is part of the Ecophysiographic Project and is one of the four input layers used to create the World Ecological Land Units Map.Dataset Summary This layer provides access to a 250m cell-sized raster with a bioclimatic stratification. The source dataset was a 30-arcsecond resolution raster (equivalent to 0.86 km2 at the equator or about a 920m pixel size). The layer has the following attributes: Temperature Description - Seven classes based on the number of growing degree days (the monthly mean temperature multiplied by number of days in the month summed for all months). The 1950 to 2000 monthly average temperature was used to calculate growing degree days. Values in this field and associated number of growing degree days are:Temperature DescriptionGrowing Degree DaysVery Hot9,000 – 13,500Hot7,000 – 9,000Warm4,500 – 7,000Cool2,500 – 4,500Cold1,000 – 2,500Very Cold300 – 1,000Arctic0 - 300Aridity Description - Six classes based on an index of aridity calculated by dividing precipitation by evapotranspiration. Precipitation and evapotranspiration are average values from 1950 to 2000.Aridity DescriptionAridity IndexVery Wet1.5 – 70Wet1.0 – 1.5Moist0.6 – 1.0Semi-dry0.3 – 0.6Dry0.1 – 0.3Very Dry0.01 – 0.1Bioclimate Class - a 2-part description that combines the value of the Temperature Description field and the Aridity Description field. The alias for this field is ELU Bioclimate Reclass. This layer was created by modifying the dataset documented in the publication: Metzger and others. 2012. A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. What can you do with this layer? This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. A service is available providing access to the data table associated with this layer. The data table services can be used by developers to quickly and efficiently query the data and to create custom applications. For more information see the World Ecophysiographic Tables.This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.

This tool takes the state of a web application (for example, included services, layer visibility settings, and client-side graphics) and returns a printable page layout or basic map of the specified area of interest., The input for Export Web Map is a piece of text in JavaScript object notation (JSON) format describing the layers, graphics, and other settings in the web map. The JSON must be structured according to the ExportWebMap specification in the ArcGIS Help., This tool is shipped with ArcGIS Server to support web services for printing, including the preconfigured service named PrintingTools. The ArcGIS web APIs for JavaScript, Flex and Silverlight use the PrintingTools service to generate images for simple map printing.

Notice: this is not the latest Heat Island Severity image service.This layer contains the relative heat severity for every pixel for every city in the United States, including Alaska, Hawaii, and Puerto Rico. Heat Severity is a reclassified version of Heat Anomalies raster which is also published on this site. This data is generated from 30-meter Landsat 8 imagery band 10 (ground-level thermal sensor) from the summer of 2023.To explore previous versions of the data, visit the links below:Heat Severity - USA 2022Heat Severity - USA 2021Heat Severity - USA 2020Heat Severity - USA 2019Federal statistics over a 30-year period show extreme heat is the leading cause of weather-related deaths in the United States. Extreme heat exacerbated by urban heat islands can lead to increased respiratory difficulties, heat exhaustion, and heat stroke. These heat impacts significantly affect the most vulnerable—children, the elderly, and those with preexisting conditions.The purpose of this layer is to show where certain areas of cities are hotter than the average temperature for that same city as a whole. Severity is measured on a scale of 1 to 5, with 1 being a relatively mild heat area (slightly above the mean for the city), and 5 being a severe heat area (significantly above the mean for the city). The absolute heat above mean values are classified into these 5 classes using the Jenks Natural Breaks classification method, which seeks to reduce the variance within classes and maximize the variance between classes. Knowing where areas of high heat are located can help a city government plan for mitigation strategies.This dataset represents a snapshot in time. It will be updated yearly, but is static between updates. It does not take into account changes in heat during a single day, for example, from building shadows moving. The thermal readings detected by the Landsat 8 sensor are surface-level, whether that surface is the ground or the top of a building. Although there is strong correlation between surface temperature and air temperature, they are not the same. We believe that this is useful at the national level, and for cities that don’t have the ability to conduct their own hyper local temperature survey. Where local data is available, it may be more accurate than this dataset. Dataset SummaryThis dataset was developed using proprietary Python code developed at Trust for Public Land, running on the Descartes Labs platform through the Descartes Labs API for Python. The Descartes Labs platform allows for extremely fast retrieval and processing of imagery, which makes it possible to produce heat island data for all cities in the United States in a relatively short amount of time.What can you do with this layer?This layer has query, identify, and export image services available. Since it is served as an image service, it is not necessary to download the data; the service itself is data that can be used directly in any Esri geoprocessing tool that accepts raster data as input.In order to click on the image service and see the raw pixel values in a map viewer, you must be signed in to ArcGIS Online, then Enable Pop-Ups and Configure Pop-Ups.Using the Urban Heat Island (UHI) Image ServicesThe data is made available as an image service. There is a processing template applied that supplies the yellow-to-red or blue-to-red color ramp, but once this processing template is removed (you can do this in ArcGIS Pro or ArcGIS Desktop, or in QGIS), the actual data values come through the service and can be used directly in a geoprocessing tool (for example, to extract an area of interest). Following are instructions for doing this in Pro.In ArcGIS Pro, in a Map view, in the Catalog window, click on Portal. In the Portal window, click on the far-right icon representing Living Atlas. Search on the acronyms “tpl” and “uhi”. The results returned will be the UHI image services. Right click on a result and select “Add to current map” from the context menu. When the image service is added to the map, right-click on it in the map view, and select Properties. In the Properties window, select Processing Templates. On the drop-down menu at the top of the window, the default Processing Template is either a yellow-to-red ramp or a blue-to-red ramp. Click the drop-down, and select “None”, then “OK”. Now you will have the actual pixel values displayed in the map, and available to any geoprocessing tool that takes a raster as input. Below is a screenshot of ArcGIS Pro with a UHI image service loaded, color ramp removed, and symbology changed back to a yellow-to-red ramp (a classified renderer can also be used): A typical operation at this point is to clip out your area of interest. To do this, add your polygon shapefile or feature class to the map view, and use the Clip Raster tool to export your area of interest as a geoTIFF raster (file extension ".tif"). In the environments tab for the Clip Raster tool, click the dropdown for "Extent" and select "Same as Layer:", and select the name of your polygon. If you then need to convert the output raster to a polygon shapefile or feature class, run the Raster to Polygon tool, and select "Value" as the field.Other Sources of Heat Island InformationPlease see these websites for valuable information on heat islands and to learn about exciting new heat island research being led by scientists across the country:EPA’s Heat Island Resource CenterDr. Ladd Keith, University of ArizonaDr. Ben McMahan, University of Arizona Dr. Jeremy Hoffman, Science Museum of Virginia Dr. Hunter Jones, NOAA Daphne Lundi, Senior Policy Advisor, NYC Mayor's Office of Recovery and ResiliencyDisclaimer/FeedbackWith nearly 14,000 cities represented, checking each city's heat island raster for quality assurance would be prohibitively time-consuming, so Trust for Public Land checked a statistically significant sample size for data quality. The sample passed all quality checks, with about 98.5% of the output cities error-free, but there could be instances where the user finds errors in the data. These errors will most likely take the form of a line of discontinuity where there is no city boundary; this type of error is caused by large temperature differences in two adjacent Landsat scenes, so the discontinuity occurs along scene boundaries (see figure below). Trust for Public Land would appreciate feedback on these errors so that version 2 of the national UHI dataset can be improved. Contact Dale.Watt@tpl.org with feedback.

This map was last updated January 2017. This map presents transportation data, including highways, roads, railroads, and airports for the world. The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, most of the Middle East, and select countries in Africa. Data for India sourced from MapmyIndia. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.Tip: To see what this layer looks like when drawn on top of the World Imagery map, open the Imagery With Labels and Transportation web map. This web map uses the Imagery with Labels basemap and contains the World Transportation map service as a layer too.You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map. View the coverage map below to learn more about the levels of detail:World coverage map: Shows the levels of detail throughout the world.Export: This layer is not intended to be used to export tiles for offline. If you would like to export imagery for offline use in ArcGIS applications, you may use the World Transportation (for Export) layer, which is intended for this purpose.Scale Range: 1:591,657,528 down to 1:1,128Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100)Tiling Scheme: Web Mercator Auxiliary SphereMap Service Name: World_TransportationArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/servicesArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/Reference/World_Transportation/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/Reference/World_Transportation/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/Reference/World_Transportation/MapServer?wsdl

state boundaries

This is the schema used for collecting search and rescue mission data. This is a feature layer that contains feature classes for Missions and Subject Found locations. See the User Guide for how this feature layer can be used to collect mission data using the GeoForm.If you already use ArcGIS Online and want to publish this feature layer, see these instructions Publish an empty hosted feature layer to publish a new empty feature layer built from this data model. This can be used to build the web map and GeoForm for data collection. If you would like to download this in GIS formats, click "Export Data". Explore this page and the tabs above to see how this data is structured and what it looks like on a map. If you are not a GIS or professional or are not using ArcGIS Online already, see this general resource to find out more: The ArcGIS Book.

MetadataThese data contain both proposed and installed export cables. The proposed cables show the developer’s current plans, but until installation occurs, these locations are subject to change. These preliminary data are being provided to help inform stakeholders of the intended location so they can provide feedback regarding the potential location of these cables. In most cases, the cables shown are the maximum proposed build out within the individual design envelope of the project. In some cases, more than one proposed layout is provided. If no specific configuration option is shown in the attributes, then all the locations are considered the preferred option. Regardless of which option is ultimately permitted, the placement and total number of cables built may vary from what is presented here. These data will be updated as new publicly available information is released. Data are provided by the lessee for project planning review and permitting uses.

This vector tile layer is designed to support exporting small volumes of basemap tiles for offline use. The content of this layer is equivalent to World Topographic Map. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with shaded relief for added context. See World Topographic Map for more details.Use this MapThis vector tile service supporting this layer will enable you to export a small number of tiles in a single request. This layer is not intended to be used to display live map tiles for use in a web map or web mapping application. To display map tiles, please use World Topographic Map.Service Information for DevelopersTo export tiles for World Topographic Map (for Export), you must use the instance of the World_Basemap_Export_v2 service hosted on basemaps.arcgis.com referenced by this layer (see URL in Contents below), which has the Export Tiles operation enabled. This layer is optimized to minimize the size of the download for offline use. Due to this optimization, there are small differences between this layer and the display optimized World_Basemap_v2 service. This layer is intended to support export of basemap tiles for offline use in ArcGIS applications and other applications built with an ArcGIS Runtime SDK.