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2010
Crete (Greece) 50m contour interval. Includes roads and places of interest. Coordinate system: GCS European 1950. Projection: Albers Equal Area Conic.
Search Results
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2013-04
Airborne LiDAR. 25 - 30 LiDAR data points per square meter . Each point classified into 1 of 8 categories: {(2) Ground; (3) Low Vegetation (less than 0.7m); (4) Medium Vegetation (0.7 to 2m); (5) High Vegetation (above 2m); (6) Building; (7) Low Points; (9) Water; (11) Withheld. See metadata for more information. Files in 0.5km square tiles named using UTM northing and easting coordinates.
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2000
A three-year survey of the knowledge and skills of 15-year-olds in the principal industrialised countries. The survey, conducted first in 2000, will be repeated every three years. 265,000 students from 32 countries took part. Students sat pencil and paper assessments in their schools. Students and their principals also answered questionnaires about themselves and their schools. This allowed PISA to identify what factors are associated with better and worse performance. There is also an interactive data selection tool for PISA 2000 data at the Australian Council for Educational Research.
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2013-10-09
Purpose: The Provincial DEM can be used for a number of applications such as landscape classification and general terrain analysis. For more detailed information please see the Provincial DEM Technical Specifications' document attached to this metadata record. The data is distributed as two seperate packages, north and south. Each package contains a number of tiled DEM raster datasets in a sinlge ESRI file geodatabase. Please see the "Provincial DEM Index Map" image attached to this metadata record. Or, download the "ProvincialDEM_Index" shapefile attached to this metadata record.
The Provincial DEM is designed to represent true ground elevation across the Province. Based on best source data for different parts of the Province, it is a general purpose dataset from which other special purpose datasets have been derived. The Provincial DEM is based on three source datasets: the Ontario Radar DSM, OBM, DTM points and contours, and 2002 GTA Ortho contours. This dataset has not been conditioned for any specific application. As a result, for hydrologic applications, it is suggested that the Ontario Integrated Hydrology dataset is used. This is a separate data product that is available through Land Information Ontario (LIO). The Ontario Integrated Hydrology data is specifically designed for hydrologic analysis, such as watershed creation and flow tracing.
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2019-09-12
TransLink route and station data created from General Transit Specification Feed (GTFS), downloaded 12 August 2019. Esri shapefiles and geojson were created by UBC library from the GTFS feed from TransLink. <ul> <li>Stops shapefile: Transit stops as point shapefile</li> <li>Shapes, routes and trips shapefile and geojson: Bus routes as polyline shape file with trip information. No time codes are included.</li> </ul>
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2013-01-03
<p>Over the course of 50 years the Ontario Ministry of Natural Resources and Forestry (OMNRF) has captured bathymetry data for over 10,000 lakes across Ontario.</p> <p>In 1968 the Department of Lands and Forests initiated the Aquatic Habitat Inventory Program to collect information for Ontario’s inland water data. One product was a series of contour maps showing lake depth. In many cases, these maps still represent the only authoritative source of bathymetry data for lakes in Ontario. These maps have been converted to digital GIS data which has resulted in the vast majority of the current data in the Bathymetry Line data class.</p> <p>More recent bathymetric data has been collected using sonar and GPS technology. This modern technique creates lake depth points (spot depths) rather than contours. This point data is stored in the Bathymetry Point data class.</p> <p>Bathymetry Points indicate the measurement of water depth at various places in a body of water, and are often called spot depths.</p> <p>The data in this layer has primarily been collected using a depth measurement device, such as an echo-sounder, in combination with a GPS for horizontal positioning. However, other survey methods such as bathymetric LiDAR may also have been used. Please see the Bathymetry Index layer for the survey method used in each water body.</p> <p>The points in this layer are the source data for all bathymetric data and should be used (when available) for the creation of bathymetric derivative products such as rasters, TINs and depth contours. Point densities will vary by water body and within water bodies, depending on the parameters or the survey.</p> <p>Bathymetry point and line data should not be used for navigational purposes.</p>
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2012-09-12
Small area data on citizens and families aged 55 years and over for Canada, British Columbia and the following British Columbia postal communities: Dawson Creek, Fort St. John, Prince George, Prince Rupert, Quesnel, Smithers, Terrace, Williams Lake.
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2013-07-23
Orthorectified aerial imagery of the UBC Okanagan campus, Kelowna, BC, 2013. Ortho Pixel size - 10 cm
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2013-01-02
<p>Over the course of 50 years the Ontario Ministry of Natural Resources and Forestry (OMNRF) has captured bathymetry data for over 10,000 lakes across Ontario.</p> <p>In 1968 the Department of Lands and Forests initiated the Aquatic Habitat Inventory Program to collect information for Ontario’s inland water data. One product was a series of contour maps showing lake depth. In many cases, these maps still represent the only authoritative source of bathymetry data for lakes in Ontario. These maps have been converted to digital GIS data which has resulted in the vast majority of the current data in the Bathymetry Line data class.</p> <p>More recent bathymetric data has been collected using sonar and GPS technology. This modern technique creates lake depth points (spot depths) rather than contours. This point data is stored in the Bathymetry Point data class.</p> <p>Bathymetry Line contains lines of constant depth called depth contours or isobars. Depth contours are used to describe the terrain relief below the surface of the water.</p> <p>The data used to derive the depth contours are always spot depths but the density and positional accuracy of these spot depths vary depending on the survey style and parameters. Before GPS data was available, spot depth locations were derived by straight line transects across a water body which were then plotted on a map. The time consuming nature of this method limited the number of transects collected. Now GPS data collection is not limited to transects and therefore spot depth collections tend to be far denser with greater horizontal accuracy.</p> <p>Depth contours have been derived in one of two ways:</p> <ol> <li><p>Visually interpreted and drawn by hand based on transects of the water body</p></li> <li><p>Interpolated using GIS processes such as Kriging or Natural Neighbours</p></li> </ol> <p>Vertical accuracy of the data varies greatly depending on the density of spot depth collected for each lake. Horizontal accuracy will also vary greatly on older transect based collections but will be within 5m for GPS based collections.</p> <p>Bathymetry point and line data should not be used for navigational purposes.</p>
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2013
Immigrants to British Columbia by country of origin and immigrant class.
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2015-11-08
The SCOOP 2013 DEM is a 2m raster elevation product that represents a generalized representation of both surface and ground features. The product was generated by an imagery contractor for the purpose of ortho-rectifying the SCOOP 2013 orthophotography. SCOOP 2013 orthophotography was collected through a collaborative funding partnership covering South Central Ontario including Peterborough, Halliburton, Muskoka, Simcoe and surrounding areas.
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2017-04-25
TransLink route and station data created from General Transit Specification Feed (GTFS), downloaded 24 April 2017. Esri shapefiles and geojson were created by UBC library from the GTFS feed from TransLink. <ul> <li>Stops shapefile: Transit stops as point shapefile</li> <li>Shapes, routes and trips shapefile and geojson: Bus routes as polyline shape file with trip information. No time codes are included.</li> </ul>
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2015-05
Dataset created Spring 2015. Contains all roads, sidewalks, paths, trails, etc at UBC Vancouver campus. Data were created to enable multimodal routing. Simplified versions are provided for simpler routing or cartography.
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2016-11-04
<p>University of British Columbia (Vancouver Campus) geospatial data. Includes data in geodatabase, geojson and CSV formats.</p> <p>Data sets include:</p> <ul> <li>UBC building data </li> <li>Context layers</li> <li>UBC Vancouver road/path data </li> <li>UBC Vancouver campus points of interest locations</li> <li>UBC Vancouver landscape features </li> </ul>
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2013-07
Acquisition Month/Year: April 2013 Polygon features such as Forebay (for a Pump Station), Lake or Wetlands. Open drainage channels including drainage ditches, creeks, and rivers.
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2013
BC Transit routes for Victoria, Whistler, Pemberton Local and Commuter, Squamish Commuter, Kelowna and Kamloops. The routes were created from the Google transit feed (GTFS) and ArcGIS Network Analyst. As no route shape information was available from the feed, the shape of the route was extrapolated from the road network and layout of transit stops. The transit routes were not verified as no maps are available. Although routes were calculated as carefully as possible, this data set carries no guarantee of accuracy beyond the information included in the Google transit feed.
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2009-03
1m resolution hillshade in Esri GRID and TIF formats.
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2013
Acquisition Month/Year: April 2013 Multipoint features.
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2013-05-04
72 band: 365 and 1050 nanometre wavelength (Visible and Near Infrared Spectrum) as Band SeQuential (BSQ) 16-bit unsigned integer.
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2015-04-08
Orthorectified aerial imagery of the UBC Vancouver campus, 2015. Ortho Pixel size - 10 cm
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