The public streets dataset is one of several that describe streets in Vancouver. The others are:LanesNon-City streetsOne way streetsRight-of-way widthsStreet intersectionsStreet centerline and names are included. The street centerline network includes linear street objects that reflect the approximate center of the dedicated street right-of-way. Street names are typically displayed for each segment of the street centerline network. The linear network is broken at the intersection of two or more City streets or alleyways. Data currencyThis data in City systems is 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 accuracySome of the City's data is created using survey accuracy however some features are not as precise.

The Lanes (alleyways) dataset is one of several that describe streets in Vancouver. The others are:Non-City streetsOne way streetsPublic streetsRight-of-way widthsStreet intersectionsStreet centerline and names are included. The street centerline network includes linear street objects that reflect the approximate center of the dedicated street right-of-way. Street names are typically displayed for each segment of the street centerline network. The linear network is broken at the intersection of two or more City streets or alleyways. Data currencyThis data in City systems is 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 accuracySome of the City's data is created using survey accuracy however some features are not as precise.

The street intersections dataset is one of several that describe city streets. The others are:LanesNon-City streetsOne way streetsPublic streetsRight-of-way widths Street centerline and names are included. The street centerline network includes linear street objects that reflect the approximate center of the dedicated street right-of-way. Street names are typically displayed for each segment of the street centerline network. The linear network is broken at the intersection of two or more City streets or alleyways. Data currencyThis data in City systems is 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 accuracySome of the City's data is created using survey accuracy however some features are not as precise.

This dataset provides information about the number of properties, residents, and average property values for 109th Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 68th Way cross streets in Vancouver, WA.

This dataset contains the widths of City rights-of-way. The street right-of-way widths are the legal, property-line-to-property-line widths of City-owned road. Note this is NOT the physically constructed curb-to-curb distance. Data currencyThe extract for this dataset is updated weekly. There may be no change in data content from one week to the next because there is no change in source data. Priorities and resources will also determine how fast a change in reality is reflected in the database. Data accuracyThese widths should be considered as approximate, however, they should be very close to the true width.

This dataset provides information about the number of properties, residents, and average property values for 130th Way cross streets in Vancouver, WA.

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

This dataset provides information about the number of properties, residents, and average property values for 131st Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 92nd Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 116th Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 66th Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 106th Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 134th Way cross streets in Vancouver, WA.

This dataset provides information about the number of properties, residents, and average property values for 53rd Way cross streets in Vancouver, WA.

This study examines the application possibilities of LIDAR data in building a digital model of the campus in three dimensions to: a) assess whether strategic observations point still exist on campus. b) mapping the built landscape across campus. c) determine planning principles for areas of interest where the new building height is considered. The study presents various methods, such as viewshed analysis and raster calculations. It mimics the observation boundaries from critical points on-campus to understand better the threatened interest points and elements that block these observation areas. The height element was a significant component in the analysis, and the maximum height of future buildings is also considered in this way. Out of interest in seeing if new buildings disturbed the balance of nature seen by one of the selected observations points. The study results showed accuracy in the input data that made it possible to build an advanced three-dimensional campus model. This model enables real-time performance to simulate and test the construction evolution of UBC's future built form.

This dataset provides information about the number of properties, residents, and average property values for 43rd Way cross streets in Vancouver, WA.

Canadian Wetlands Inventory (CWI) data for the Radisson region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region.

Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification.

The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island).

A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%.

For the methodology used to do the classifications, please refer to the following reference :

Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.

Canadian Wetlands Inventory (CWI) data for the Baie de l'Isle-Verte region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.

This dataset provides information about the number of properties, residents, and average property values for Leverich Park Way cross streets in Vancouver, WA.