World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k) and 2.5m SPOT Imagery (~1:288k to ~1:72k) for the world. The map features 0.5m resolution imagery in the continental United States and parts of Western Europe from Maxar. Additional Maxar sub-meter imagery is featured in many parts of the world. In the United States, 1 meter or better resolution NAIP imagery is available in some areas. In other parts of the world, imagery at different resolutions has been contributed by the GIS User Community. In select communities, very high resolution imagery (down to 0.03m) is available down to ~1:280 scale. You can contribute your imagery to this map and have it served by Esri via the Community Maps Program. View the list of Contributors for the World Imagery Map.See World Imagery for more information on this map.Metadata: Point and click on the map to see the resolution, collection date, and source of the imagery. Values of "99999" mean that metadata is not available for that field. The metadata applies only to the best available imagery at that location. You may need to zoom in to view the best available imagery.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.Need Newer Imagery?: If you need to access more recent or higher resolution imagery, you can find and order that in the Content Store for ArcGIS app.Learn MoreGet AccessOpen App

This web map contains stores layer from OSM (OpenStreetMap) in India.OSM is a collaborative, open project to create a freely available and editable map of the world. Geographic information about streets, rivers, borders, points of interest and areas are collected worldwide and stored in a freely accessible database. Everyone can participate and contribute to OSM. The geographic information available on OSM relies entirely on volunteers or contributors.The attributes are given below:NameTypeCodeOSM IDThese map layers are offered by Esri India Content. The content team updates the map layers quarterly. If you have any questions or comments, please let us know via content@esri.in.

This ESRI featureclass and associated metadata is a template. Attribute schema is pre-defined 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.

A feature layer used to store workforce or personnel information for a government agency.

Public infrastructure of Trinity County, CA

This data has been collected as part of a larger project by the City of Austin's Watershed Protection and Development Review Department to inventory its drainage infrastructure and create a GIS to store this information. The project includes an internal team developing a GIS based on record documents and an external team locating ground level appurtenances using GPS field collection units. The data in this data set represents the former.

As the parent to WTRBDY_AREA, WTRBDY_DET contains more detail (i.e., _DET) than its child product, WTRBDY_AREA. The layer contains the same information as WTRBDY_AREA such as areal waterbodies and double-banked streams and rivers, plus additional detail. This detail includes additional attributes, storage of tidal range information, and coding and overlapping geometry to store over-water manmade features as well as historic change. This change information includes loss of, or significant change in extent for lakes and ponds, as well as significant changes in waterfront geometry or change in major river channels. In addition, Lake Washington, Lake Sammamish, Puget Sound are stored as simple polygons but also as overlapping polygons showing jurisdictional proximity assignments. Over-water features, such as waterfront docks, marinas and industrial areas, are stored as overlapping polygons. These feature types can be unselected to show a more natural shoreline.

Geospatial data can provide valuable visualization and analytical abilities to Facility and Resource Managers in regards to maintained landscapes throughout the NPS. Maintained landscapes are records in the Facility Management Software System (FMSS) and can include battlefields, ornamental gardens, picnic areas, and other types. To map a maintained area and the features within it at the enterprise level, a geospatial data service is needed to ensure consistency, accuracy, and thorough documentation of data lineage. The Maintained Landscape Spatial Data Service will structure maintained landscape data into a common format that will enable GIS data to be easily integrated, traced, analyzed and shared across the park. Such a structure will increase users’ ability to discern the quality and accuracy of the data enabling the user to make better data driven decisions. This schema is designed to match the structure and hierarchy of FMSS so that should this system become spatially enabled this data could be utilized. Within the FMSS database, features are organized in locations records and assets records. A location record could be thought of as a bin, within which component assets records are stored. Park Facilities Management Division (PFMD) Employees of the National Park Service are tasked with managing facilities such as roads, trails, buildings, and landscapes. To properly manage these assets PFMD must make management decisions based on spatial and non-spatial data. This service allows the accurate geographic representation of maintained landscapes in a common service-wide schema. Furthermore, the establishment of a maintained landscapes spatial data service will allow for the integration of several NPS managed databases. These include (but are not limited to) the Facilities Management Software System (FMSS).The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Maintained Landscapes.

Core Shopping Areas designated in the Argyll and Bute Local Development Plan 2. Policy areas within the main town centres where non-retail development is restricted in the interests of sustaining the commercial integrity of the town centres and their central shopping functions.

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE.Data gathered from various sources. Store type is derived from store's name and/or anecdotal data. Created December 2016, and updated in November, 2019.

Bar Ditch - A bar ditch is a man-made, open drainage-way into which excess surface water or groundwater drained from land, storm water runoff, or floodwaters flow either continuously or intermittently. It differs from a ditch in that it is typically less than 18 inches deep and contains driveway culverts of insignificant size (6" - 12"). A single line feature represents the entire line of ditch/culvert representing the bar ditch.This data has been collected as part of a larger project by the City of Austin's Watershed Protection and Development Review Department to inventory its drainage infrastructure and create a GIS to store this information. The project includes an internal team developing a GIS based on record documents and an external team locating ground level appurtenances using GPS field collection units. The data in this data set represents the former.

Accuracy:“Culture” is a complicated concept. It can mean many different things. Therefore, there is no simple answer to the question of what constitutes a space for cultural activities or events. The project partners used a broad definition that includes spaces in several categories, including venues,studios, learning spaces, community spaces (including places of worship), food, sport, stores, heritage, nature (including parks), and public art. The project is ongoing and we are always open to suggestions on how to improve this dataset. The City will be maintaining this dataset going forward, and we may revisit the categorization and types of spaces we include in the future.When using these data, it is important to keep in the mind the following:Not all categories are necessarily relevant to all users for all purposes.The dataset, while extensive (3,800+ spaces), may not be exhaustive. If you notice anything that is missing, please contact the Data Steward.Change occurs frequently. The City will be developing a plan for the long-term maintenance of this dataset. The data will be updated frequently, but there can be outdated information. If you notice anything that is out-of-date, please contact the Data Steward.The fields called “Size (Capacity/# seats)” and “Accessibility” have not yet been populated, as the research is still ongoing.Update Frequency: As neededAttributes:FieldsUnique ID – This is a unique identifier for each cultural space in the dataset.Category – See below for category descriptions.Sub-Category – Another level of categorization.Tags – Key words associated with a cultural space. Used for search.Name – The current name of a cultural space. Alternate or historic names may be identified in “Alternate Names”.Name FR – This field is used if the space has different English and French names.Latitude – Geographic coordinate.Longitude – Geographic coordinate.Address – Civic address in English.Address FR – Civic address in French.Location Notes – Additional notes in English to describe the location of the space if need. For example, explaining specifically where within a large campus, park, complex, etc. a space is located.Location Notes FR – Additional notes in French to describe the location of the space if need. For example, explaining specifically where within a large campus, park, complex, etc. a space is located.City – Most spaces are in Ottawa. Some spaces in Gatineau and other surrounding communities have been included for context.Province – Most spaces are in Ontario, though some are in Quebec as noted above.Postal Code – This is the postal code associated with the mailing address of the space. In some cases, that may be different than the postal code that would be associated with its physical location.Phone – All contact info was collected from public sources.Email – All contact info was collected from public sources.WebsiteWebsite_FR"Outdoor Component (Y/N)" – Indicates whether at least part of the space is outdoors."Active (Y/N)" – Spaces that are no longer in use (e.g. venue has closed) will be marked as “N” (inactive)."Seasonal Constraints" – Indicates whether there are limits on what times of the year a space can be used.Last Modified – The date that information about the space was last updated in this inventory.Additional Notes 1 – The “Additional Notes” fields are used to note any other pertinent information about a space. These are open text fields (unstructured).Additional Notes 1 (FR)Additional Notes 2Additional Notes 2 (FR)Additional Notes 3Additional Notes 3 (FR)Alternate Names – Other names used to refer to a place, including historic names or names in languages other than English and French.Size (Capacity/# seats) – This field is meant to give an indication of the size of the space. The way this is measured may be different depending on the type of space. For example, the number of seats is a good measure of the size/capacity of a theatre, but that would not be appropriate for other types of spaces. This field has not yet been populated, as the research is still ongoing.Accessibility – This field is meant to give an indication of the accessibility of a space. This field has not yet been populated, as the research is still ongoing.Apt613 Link – For spaces that do not have a website or another web presence, a link to articles published by Apt613 that mention the space is included.CategoriesVenue – Available for programming/cultural presentations.Studio – Spaces for creation of cultural products.Learning – Museums, libraries, archives, education, lessons, etc.Community – Community centres, places of worship, fairgrounds, etc.Food – Cafes, restaurants, bars, etc., particularly those that have a venue component to them, plus other restaurants, vineyards, breweries, roasteries, food retail spaces, etc. the researchers felt were creative spaces or had a certain cultural significance. (Note: it could be argued that almost any food space has cultural significance. We may consider expanding this category in the future. Please feel free to share your thoughts with the Data Steward.)Sport – Fitness, recreational, club, etc.Store – Stores that have a specialty, cultural, or artistic component to them, such as record stores, music instrument stores, or art or photography supply stores.Heritage – Historic sites, archives, etc.Nature – Parks, beaches, etc.Public Art – Murals, sculptures, etc., including artworks that are not in the City’s collection.Contact: Andrew Cooper

The Texas Department of Transportation (TxDOT)maintains a spatial dataset of roadway polylines for planning and assetinventory purposes, as well as for visualization and general mapping. Thisdataset covers the state of Texas and includes on-system routes (those thatTxDOT maintains), such as interstate highways, U.S. highways, state highways,and farm and ranch roads, as well as off-system routes, such as county roadsand local streets.This data contains measures. Measures are storedas M-values within each vertex along the line, in the same way that somedatasets store z-values for the elevation, except that measures store thedistance from the origin, or DFO, along the line. M-enabled networks serve asframeworks for locating roadway assets along the network using linearreferencing. This data set must be downloaded as a file geodatabase in order tokeep M-Values intact. If downloaded as a shapefile or added to a map from aconnection to ArcGIS online, measures will not be applied to the line.Update Frequency: 1 MonthsSource: Geospatial Roadway Inventory Database (GRID)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]

This datalayer was developed by the Cape Cod Commission, a regional regulatory land use planning agency and is charged with providing digital cartographic data, as needed, for the express purpose of map production and/or datalayer analysis. These technical services are made possible by the Cape Cod Environmental Protection Fund which generates revenue through state and federal grant applications and through local assessment fees. This data layer intends to inventory, permit cartographic production of, and allow for geographic analysis of, suspected and or potential groundwater pollution plumes throughout Barnstable County (Cape Cod).

This geographically-referenced data layer stores suspected and/or potential groundwater pollution plumes originating from landfills within Barnstable County (Cape Cod), Commonwealth of Massachusetts, United States of America. The area-specific data are colloquially known as "plumes" which are stored in their native form within a geographic information system (GIS) as "polygons." The polygons contain GIS- and user-defined attributes used to store the known existing conditions of the plumes.

The Woodflow Centroids Boundaries feature layer contains centroids and boundaries for North American states and provinces (USA, Canada, and Mexico). Also includes two international sites (east and west) for distribution outside of North America. The dataset was created to support the generation of flow lines (inflow and outflow) for timber production movement for the FIA BIGMAP Wood Flow Visualization web application.About FIA's BIGMAPThe USDA Forest Service’s Forest Inventory and Analysis (FIA) program is the authoritative source of information about the conditions of the Agency’s forested lands. Within the FIA program, a new secure, cloud-based, and flexible computing environment has been created, named the Big Data Mapping & Analytics Platform (BIGMAP). BIGMAP is designed to store, process, analyze, and deliver Forest Service content. It does so in ways that streamline our internal workflows and make it easy to share authoritative, map-based content through web technologies. BIGMAP leverages commercial off-the-shelf solutions, reducing development and maintenance costs over the longer term. This focus capitalizes upon Agency investments in FIA and other data. The resulting, authoritative map content will populate the Agency’s WebGIS library for use by Agency managers, decision-makers, and other interested parties.