Information which constitutes the geography or location of a land unit, farm, ranch or facility. This could include latitudinal/longitudinal points, boundaries, borders, addresses.

The municipality of Umeå is divided into key code areas, "nyckelkodsområden", also referred to as subareas.This division is primarily made to facilitate the planning of various municipal activities based on the population distribution across different parts of the municipality.Please note that the map boundaries are only indicative.The dataset is typically updated once a year or as needed.For questions, contact analysgruppen@umea.se.

Climatic and geographical features of the origin sites of the four provenances.

Places in the Geographic Names Information System (GNIS)This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays populated places from the Geographic Names Information System (GNIS). Per USGS, “the Geographic Names Information System (GNIS) is the federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.”Trenton, New JerseyData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Places) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 34 (Geographic Names Information System (GNIS) - USGS National Map Downloadable Data Collection)OGC API Features Link: (Populated Places in the Geographic Names Information System (GNIS) - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

This API returns a geography of a specified geography type by the geography id.

This is a series of datasets covering the State of Queensland displaying geographic features. Features are attributed with source information and names where available. Datasets include: - Bays including Bays, Coves, Gulfs etc., Large Area Features including Deserts, Peninsulas etc., Mountain Ranges, Beaches, Sea Passages, Mountain Peaks, Capes including Capes, Points, Head, Mainland, Marine Islands, Reefs and Shoals, Island Groups, Highest Astronomical Tide

Xverum’s Point of Interest (POI) Data is a comprehensive dataset of 230M+ verified locations, covering businesses, commercial properties, and public places across 5000+ industry categories. Our dataset enables retailers, investors, and GIS professionals to make data-driven decisions for business expansion, location intelligence, and geographic analysis.

With regular updates and continuous POI discovery, Xverum ensures your mapping and business location models have the latest data on business openings, closures, and geographic trends. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into geospatial analysis, market research, and navigation platforms.

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This dataset provides a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba. The purpose of this dataset is to provide a geographical location (in decimal degrees to the nearest second) for all officially named geographical features within the Province of Manitoba, as per the Manitoba Geographical Names Program. The program’s mission is to: “embrace the active preservation of the province’s culture through its toponymy, and provides a naming authority for the enhancement, maintenance, dissemination, and protection of Manitoba’s geographical nomenclature recognizing the integral role geographical names play in our daily lives including their essential value to our scientific, commercial, and economic world.” As part of the program, staff administer and maintain all nomenclature records, an automated names information system, a resource library and archives, supplementary name location maps, a bibliography of name studies, and a commemorative names project. The Manitoba’s Geographical Names database contains more than 24, 000 official and heritage place names found throughout Manitoba. For each place name, the data set contains geographic coordinates, the type of feature, the name’s approval data, its location reference, plus any heritage information recorded about the name. Fields included (Alias (Field Name): Field description.) OBJECTID (OBJECTID): Sequential unique whole numbers that are automatically generated. Shape (Shape): Coordinates defining the features. Geographical Name (Geographical_Name): Current official name. Unique National Identifier (Field Unique_National_Identifier): Unique national identificatier applied to each toponym by the Geographical Names Board of Canada member for Manitoba. Feature Code (Feature_Code): Numeric code used to classify toponyms based on the nature of the related geographical feature. NTS 250,000 Map Sheet (NTS_250_000_Map_Sheet): Map number of the National Topographic System (NTS) 1:250 000 map sheet that contains the centroid of the toponym. NTS 50,000 Submap Sheet (NTS_50_000_Submap_Sheet): Map number of the National Topographic System (NTS) 1:50 000 map sheet that contains the centroid of the toponym. Latitude (Latitude): Latitude in Decimal Degrees. Longitude (Longitude): Longitude in Decimal Degrees. Casualty Hometown (Casualty_Hometown): Hometown that was provided by the casualty of war at time of enlistment. Casualty Regimental Number (Casualty_Regimental_Number): Regimental number of the casualty of war at the time of their death. Casualty Rank (Casualty_Rank): Rank of the casualty of war at the time of their death. Casualty Surname (Casualty_Surname): Surname of the casualty of war at the time of their death. Casualty Given Name(s) (Casualty_Given_Name_s_): Given name(s) of the casualty of war at the time of their death. Casualty Date of Death (Casualty_Date_of_Death): Date of death for the casualty of war. Casualty Regiment (Casualty_Regiment): Military affiliation of the casualty of war at the time of their death. Casualty Place of Burial (Casualty_Place_of_Burial): Place of burial of the casualty when the geographical feature is named in honour of a casualty of war. Feature Type (Feature_Type): Type of geographical feature, e.g. lake, island, bay, town, city. Feature Type Description (Feature_Type_Description): Description of the geographical feature.

U.S. Geographic Names Information System Populated Places represents the Federal standard for geographic nomenclature and contains information about the proper names and locations of physical and cultural geographic features located throughout the United States and its Territories. The U.S. Geological Survey developed the Geographic Names Information System (GNIS) for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public.Geographic Names Information System, of which U.S. Geographic Names Information System Populated Places is a part, is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types in the United States. The feature locative information has been used in emergency preparedness, marketing, site-selection and analysis, genealogical and historical research, and transportation routing applications.

The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See for additional information. The Geographic Names Information System contains information about physical and cultural geographic features of all types in the United States, associated areas, and Antarctica, current and historical, but not including roads and highways. The database holds the Federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature designations, feature classification, historical and descriptive information, and for some categories the geometric boundaries. The database assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. The GNIS collects data from a broad program of partnerships with Federal, State, and local government agencies and other authorized contributors. The GNIS provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map and feature services, file download services, and customized files upon request. The U.S. Board on Geographic Names was created in 1890 and established in its present form by Public Law in 1947 to establish and maintain uniform geographic name usage throughout the Federal Government. The Board serves all government agencies and the public as the central authority to which name inquiries, name issues, and new name proposals can be directed. It is comprised of representatives of Federal agencies associated with land management and cartography. Sharing its responsibilities with the Secretary of the Interior, the Board develops principles, policies, and procedures governing the use of both domestic and foreign geographic names as well as undersea and Antarctic feature names. Source data were originally downloaded from the U.S. Board on Geographic Names website (http://geonames.usgs.gov), imported and adapted for redistribution via RIGIS. Information about how these data were processed are available later in this metadata record under the Data Quality Information section.

The GeoPinpoint Suite software attaches geographic coordinates to records in a client database by means of matching certain database fields against a DMTI proprietary geo-reference database. The geo- reference database is comprised of digital street geometry, street address ranges, postal coordinates, point of interest and other reference databases to ensure that data is “geocoded” as accurately as possible. When data is “geocoded”, co-ordinates can be transferred into a Geographic Information Systems (GIS) such as MapInfo, ArcInfo, ArcView and other software systems that support the importation of geographic co-ordinate locations. GeoPinpointTM Suite positions your data using a powerful and innovative geo-location process called geocoding. GeoPinpoint Suite attaches X and Y coordinates to your facility, customer or prospect address data for map visualization, analysis or location based applications. The GeoPinpoint Suite takes advantage of a new modular design that allows the software to encompass future module enhancements without jeopardizing its performance or usability. Based on the nationwide precision and the robust street address content of CanMap® Streetfiles, GeoPinpoint Suite has been engineered to geocode your data with a high degree of accuracy.

This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

The Cuneiform Inscriptions Geographical Site - Assemblage Estimates (CIGS-AE) provides basic overall estimates of and bibliographical references for the approximate number of cuneiform inscriptions derived from individual archaeological locations. In use across the wider Middle East from c. 3,400 BCE until 100 CE, cuneiform is one of the earliest and most extensively documented ancient scripts in world history. The CIGS-AE is a component of the Cuneiform Inscriptions Geographial Site (CIGS) index, a digital geospatial register of archaeological sites with finds of cuneiform inscriptions across Europe, Asia, and Africa.

CIGS-AE provides a first comprehensive quantitative overview of the approximate number of cuneiform inscriptions unearthed from known archaeological locations. It does not provide an overview of the entire corpus of cuneiform inscriptions known, as the index disregards all inscriptions with no verifiable archaeological origin, estimated to be between fifteen and twenty per cent of the overall corpus according to the catalogue of the Cuneiform Digital Library Initiative. The present resource then offers a lower threshold for the size of the full cuneiform corpus and a fairly reliable overview of its general distribution. The accompanying bibliography offers a basic set of references for all known archaeological sites with finds of cuneiform inscriptions. This information is intended as a starting point for further study, and should not be considered an exhaustive nor authoritative bibliography.

This resource has been prepared by researchers of the Department of Linguistics and Philology of Uppsala University. The index is intended as a tool for students and researchers in cuneiform studies and related areas and as an aid to cultural heritage managers and educators in communicating and safeguarding this unique body of world written heritage. The index remains under development and is regularly updated. The authors will very much appreciate notices of any omissions, errors, or inaccuracies. For any inquiries, please contact Rune Rattenborg (rune.rattenborg@lingfil.uu.se).

The version 1.0 index contains a total five fields, including one primary ID, two integer fields for assemblage size and grouping, and two string fields for bibliographical references and notes. Record identifiers are matched with primary IDs in Cuneiform Inscriptions Geographial Site (CIGS) index to allow for geospatial visualisation of quantitative data. Reference short titles are matched with short titles contained in the accompanying .bibtex.

The metadata record summarizes information for live weather measurements of the latest hour from the 41 meteo stations of ASTA. The hourly data is shown in local wintertime (GMT+1) and is each hour updated. The kind of measurements differ from station to station. This dataset is available via WMS (https://wms.inspire.geoportail.lu/geoserver/mf/wms?service=WMS&version=1.3.0&request=GetCapabilities) and WFS (https://wms.inspire.geoportail.lu/geoserver/mf/wfs?service=WFS&version=2.0.0&request=GetCapabilities) API protocols. Data is transformed into INSPIRE data model. Description copied from catalog.inspire.geoportail.lu.

Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments. The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The following criteria for a CRA geography were defined for this effort: -no overlapping areas; -complete coverage of the city; -suitable scale to represent neighborhood areas/conditions; -reasonably stable over time; -consistent with census geography; -relatively easy to use in a data context; -familiar system of common place names; and, -respects neighborhood district geography. The following existing geographies were reviewed during this effort: -neighborhood planning areas (DON); -neighborhood districts (DON/CNC/Neighborhood District Councils); -city sectors/neighborhood plan implementation areas (DON); -urban centers/urban villages (DPD); -population sub-areas (DPD); -Neighborhood Map Atlas (City Clerk); -Census 2000 geography; -topography; and, -various other geographic information sources related to neighborhood areas and common place names. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

The 2019 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name.

In 2015, the second of several Regional Stream Quality Assessments (RSQA) was done in the southeastern United States. The Southeast Stream Quality Assessment (SESQA) was a study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA, and thus the SESQA, is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Van Metre and Journey, 2014). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 115 water-chemistry sites sampled for the SESQA, and is one of the four fundamental geospatial data layers that were developed for the Southeast study.

Provides details on the sites selected for each study, including various attributes to allow for comparison across sites.

The City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.

This dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:

1 Public Life Study: provides details on the different studies that have been conducted, including project information. https://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp

2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.

3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups. https://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd

4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities. https://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf

5 Public Life Geography: A GeoJSON file with polygons of every location studied. https://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp

Please download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.

The Standard Geographical Classification (SGC) is Statistics Canada's official classification of geographic areas in Canada. The SGC provides unique numeric codes for three types of geographic areas: provinces and territories, census divisions (counties, regional municipalities), and census subdivisions (municipalities). The three geographic areas are hierarchically related; a seven-digit code is used to show this relationship. In addition the two other areas, Metropolitan Areas and Economic Regions are recognized as standard geographic areas in the SGC.

This updated guide is a simple tour of the UK geographical areas used in National Statistics work. You can use it to get basic facts on each type of area as well as more specialist information.