4 datasets found
  1. v

    LiDAR 2022

    • opendata.vancouver.ca
    csv, excel, geojson +1
    Updated Apr 18, 2023
    + more versions
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    (2023). LiDAR 2022 [Dataset]. https://opendata.vancouver.ca/explore/dataset/lidar-2022/
    Explore at:
    excel, csv, geojson, jsonAvailable download formats
    Dataset updated
    Apr 18, 2023
    License

    https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

    Description

    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

  2. a

    Metro Vancouver Regional District Rental Affordability

    • western-libraries-geospatial-hub-westernu.hub.arcgis.com
    Updated Mar 1, 2025
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    Western University (2025). Metro Vancouver Regional District Rental Affordability [Dataset]. https://western-libraries-geospatial-hub-westernu.hub.arcgis.com/datasets/metro-vancouver-regional-district-rental-affordability
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Western University
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    We are the Mustangs for Housing Equity. Our team aims to create accessible and digestible content for the general public in order to be able to understand and even reproduce GIS products. We therefore exclusively used open source data so that all of our sources could be verified or applied by viewers without requesting permission from data owners. Despite the complexity of the analysis techniques that we used, we ensured that the completed product was available as a dashboard with toggles and explanations for each layer and function of the map. The general public can become informed of issues on housing affordability. By using our app they are able to navigate which neighbourhoods may be sustainably affordable based on their income. Governments and NGOs may also navigate through the vacancy rates in the Metro Vancouver Regional District area to identify where housing development may be required. Ultimately, by having open source data and making an accessible final app, our team will be actively supporting awareness and understanding of the Vancouver housing market, and broadly GIS products.

  3. v

    Bikeways

    • opendata.vancouver.ca
    • vancouver.opendatasoft.com
    csv, excel, geojson +1
    Updated May 12, 2025
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    (2025). Bikeways [Dataset]. https://opendata.vancouver.ca/explore/dataset/bikeways/
    Explore at:
    geojson, csv, excel, jsonAvailable download formats
    Dataset updated
    May 12, 2025
    License

    https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

    Description

    This dataset contains information about bikeways in City of Vancouver. NoteSome fields may be blank or have zero values if the information is not available. Data currencyThis data are updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyThese bikeways follow street centrelines so their placement in the street right of way is approximate. This dataset is maintained manually.This dataset includes data on shorter bikeway segments which can be different than how the bikeways are dispayed in the Vancouver Cycling Map. Websites for further informationCycling routes and maps

  4. a

    WCVI Chinook Indicators

    • fisheries-map-gallery-crm.hub.arcgis.com
    Updated Jul 2, 2020
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    Coastal Resource Mapping Ltd (2020). WCVI Chinook Indicators [Dataset]. https://fisheries-map-gallery-crm.hub.arcgis.com/datasets/wcvi-chinook-indicators
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    Dataset updated
    Jul 2, 2020
    Dataset authored and provided by
    Coastal Resource Mapping Ltd
    Area covered
    Description

    Locations of Chinook escapement indicator streams along the West Coast of Vancouver Island.

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(2023). LiDAR 2022 [Dataset]. https://opendata.vancouver.ca/explore/dataset/lidar-2022/

LiDAR 2022

Explore at:
221 scholarly articles cite this dataset (View in Google Scholar)
excel, csv, geojson, jsonAvailable download formats
Dataset updated
Apr 18, 2023
License

https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

Description

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

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