A set of nine raw ASCII text files that represent Calgary Transit's published schedule and routing information. This data is provided based on the General Transit Feed Specification Reference.

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

These 3D building shapes are derived from full surface LiDAR by creating roof surface outlines. Exterior walls are projected from the outer edges of the roof outlines to just below the ground surface.

This dataset covers only a portion of the west end of downtown Calgary. To purchase specific sections of Calgary, please visit Cityonline.calgary.ca. To request city-wide 3D buildings, please use the "contact dataset owner" button below to request a quote.

The download will provide the 3D buildings data in DGN and Multipatch GDB formats. The projection is NAD83 Alberta 3TM 114W (EPSG:3776).

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

A highly accurate elevation dataset of ground surface topography, derived from aerial Light Detection and Ranging (LiDAR). This 2m resolution version of the bare-Earth LiDAR DEM can be used for a wide range of applications such as 3D spatial analysis (slope calculations, profile creation, volumetric computations), engineering applications (land developments, road design, flood modelling) and 3D terrain visualizations, just to name a few. To learn more visit, https://www.calgary.ca/cs/iis/mapping-products/digital-elevation-model.html or view the attached metadata document.
DEM of 1m and 20cm resolution are also available on Cityonline.calgary.ca

The compressed file for download is 579 MB. The uncompressed files are 4.1 GB and in ESRI ArcGrid ASCII (.asc) file format.

Calgary Transit realtime data updated every 30 seconds. Visit the Google Transit API page for more information on the GTFS-RT specification and the feed entities (Trip Updates, Service Alerts and Vehicle Positions). Also, see Service Updates.

Using data collected in 2012 and 2013, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2012 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 3 GB. The uncompressed files are 3.35 GB. Data is arranged in Townships, with 16 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Using data collected in 2018, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2018 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 326 MB. The uncompressed files are 3.95 GB. Data is arranged in Townships, with 21 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

Using data collected between 2012 and 2017, The City has created this solar potential dataset of all buildings within city limits. The data shows varying degrees of a roof’s solar exposure, on an annual basis, in generalized optimal conditions. The data model used to generate the map takes into account the shape of the terrain and the relative position of building rooftops and structures, existing infrastructure, and tree canopies. It doesn’t take into account weather conditions, such as cloudy days and precipitation that limit a roof’s direct solar exposure. It also does not reflect any new adjacent structures built after 2012 that may obstruct another building’s solar exposure.

The Yield levels are measured as kWh\m2\day. Yield values are interpreted as: Low Yield (0 - 0.87); Low Moderate Yield (0.87 - 1.74); High Moderate Yield (1.74 - 2.61); High Yield (2.61 - 3.48)

The compressed file for download is 4.25 GB. The uncompressed files are 4.5 GB. Data is arranged in Townships, with 18 GeoTiff image files in total.

The Solar map data is intended for information purposes only and as a preliminary solar opportunity assessment tool. It is not intended to be used as a decision making source of information for solar panel installations.

This dataset contains the summary results for the 2013 civic election. For more information on this dataset, please see the 2013 Election Results Companion Guide (see attachment below)