Recreational facility locations: Preserves, Open Space, Parks, Playgrounds, Recreation Centers, YMCA and YWCA.

Legislative Districts dataset current as of unknown.

A global analysis of accessibility to high-density urban centres at a resolution of 1×1 kilometre for 2015, as measured by travel time.

To model the time required for individuals to reach their most accessible city, we first quantified the speed at which humans move through the landscape. The principle underlying this work was that all areas on Earth, represented as pixels within a 2D grid, had a cost (that is, time) associated with moving through them that we quantified as a movement speed within a cost or ‘friction’ surface. We then applied a least-cost-path algorithm to the friction surface in relation to a set of high-density urban points. The algorithm calculated pixel-level travel times for the optimal path between each pixel and its nearest city (that is, with the shortest journey time). From this work we ultimately produced two products: (a) an accessibility map showing travel time to urban centres, as cities are proxies for access to many goods and services that affect human wellbeing; and (b) a friction surface that underpins the accessibility map and enables the creation of custom accessibility maps from other point datasets of interest. The map products are in GeoTIFF format in EPSG:4326 (WGS84) project with a spatial resolution of 30 arcsecs. The accessibility map pixel values represent travel time in minutes. The friction surface map pixels represent the time, in minutes required to travel one metre. This DANS data record contains these two map products.

Detailed street boundaries for Baltimore City. No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata. This dataset depicts the linear boundaries for street and paved areas in Baltimore City and has an extremely high degree of positional accuracy. For the best available transportation data use the Roads_GDT_MSA dataset. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TOP_GL type: Doublewidth: 8precision: 38 Elevation of highest point above ground level (NAVD88)

TOP_SL type: Doublewidth: 8precision: 38 Elevation of highest point of deck above sea level (NAVD88)

BASE_ELEV type: Doublewidth: 8precision: 38 Base elevation of deck (NAVD88)

ELEV_GL type: Doublewidth: 8precision: 38 Elevation of deck above ground level (NAVD88)

ELEV_SL type: Doublewidth: 8precision: 38 Elevation of deck above sea level (NAVD88)

The extent of paved or impervious surfaces on campus.

This layer is a component of General Purpose Basemap.

Provides context for a wide range of people and supports a variety of application needs within a local government. The layers in this basemap provide context for multiple workflows, such as editing data or producing web maps. It includes structures, roads, major facilities, water features, and boundaries. This map also includes Campus Basemap can be used to create a high-resolution, multi-scale basemap for a university or business campus. It can also be used by government agencies to produce a high-resolution basemap for a downtown, government complex, or military base.

© Esri., Inc., City of Kerrville, TX

LiDAR (Light Detection and Ranging) data of the City of Vancouver and UBC Endowment Lands with an Area of Interest (AOI) covering a total of 134 square kilometers.​Data products includes a classification that defines "bare earth" ground surface, water and of the upper most surface defined by vegetation cover, buildings and other structures.Data accessEach of the 181 polygons on the map or rows in the table provides corresponding link to the data in LAS format (zipped, file sizes range from 16.45MB to 2.74GB).AttributesPoint data was classified as:Unclassified;Bare-earth and low grass;Low vegetation (height <2m);High vegetation (height >2m);Water;Buildings;Other; andNoise (noise points, blunders, outliners, etc) Note​The 2022 LiDAR data is being utilized for initiatives including land management, planning, hazard assessment, (e.g. floods, landslides, lava flows, and tsunamis), urban forestry, storm drainage, and watershed analysis. Data currency​Aerial LiDAR was acquired on September 7th and September 9th, 2022 and is current as of those dates. Data accuracyThe LiDAR data is positioned with a mean density of approximately 49 points per square metreSidelap: minimum of 60% in north-south and east-west directionsVertical accuracy: 0.081 metre (95% confidence level)Coordinate system​The map of grid cells on this portal is in WGS 84 but the LiDAR data in the LAS files are in the following coordinate system:Projection: UTM Zone 10 (Central Meridian 123 West)Hz Datum: NAD 83 (CSRS) 4.0.0.BC.1.GVRDVertical Datum: CGVD28GVRDMetro Vancouver Geoid (HTMVBC00_Abbbyn.zip) Websites for further information City boundary dataset

This map layer is a subset of the Columbus Points of Interest layer and shows education facilities in the City of Columbus. Daycares, elementary, middle, and high schools, colleges and universities, vocational schools, and other educational entities are included. This layer is maintained through a cooperative effort by multiple departments of the City of Columbus using first-hand knowledge of the area as well as a variety of authoritative data sources. While significant effort is made to ensure the data is as accurate and comprehensive as possible, some points of interest may be excluded and included points may not be immediately updated as change occurs.