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Address Points (Municipal) - Toronto One Address Repository
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 The One Address Repository data set provides a point representation for over 500,000 addresses within the City of Toronto. Each address point is described with a series of attributes including street number, street name, address type, feature class and real world coordinates. All address points have a position on the correct side of the street, and are correctly positioned relative to neighbouring addresses. They are positioned within the parcel or the building footprint.
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Intersection File - City of Toronto
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 This data was collected for planning and mapping purposes and includes all intersections within the City of Toronto. This data set is limited to the City of Toronto geographical boundary. It is a GIS file and works best when you open it with GIS software and overlay it with the City of Toronto Street Centreline.
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Topographic Mapping – Edge of Road
City of Toronto Open Data
gcc@toronto.ca — 2019-10-17 Polygon layer representing the physical area of the City’s street system. Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph. https://open.toronto.ca/open-data-license/
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Toronto Centreline (TCL)
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 The Toronto Centreline is a data set of linear features representing streets, walkways, rivers, railways, highways and administrative boundaries within the City of Toronto. Each line segment is described with a series of attributes including a unique identifier, name, feature code, and address ranges (where applicable). In addition to retaining historical archives, threaded archives are also retained that record splits and merges of address points, of linear features and of area features. All features are linked and integrated. https://open.toronto.ca/open-data-license/
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Topographic Mapping – Treed Area
City of Toronto Open Data
gcc@toronto.ca — 2019-10-18 Polygon layer representing the physical area of trees. Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph. https://open.toronto.ca/open-data-license/
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Green Spaces
City of Toronto Open Data
gcc@toronto.ca — 2022-07-14 Green Spaces is a geospatial dataset of polygons that is a point-in-time generalized representation of existing parks and open spaces within the City of Toronto. Green Spaces includes public parks, beaches, parts of ravines, golf courses, cemeteries, and other open space areas such as those offered by various private institutions. These spaces may or may not be publicly accessible and are either publicly owned/maintained or they are privately owned/maintained. Green Spaces is not an exhaustive dataset of all the public and private parks and open spaces within the City. It does not encompass all areas protected by the Ravine and Natural Feature Protection By-Law, by Environmentally Significant Areas or by Natural Heritage Areas. Green Spaces is primarily intended to visualize our existing overall parks and open space system. It is used to symbolize the green coloured areas in many of the City's mapping products such as Toronto's Interactive Map or the Toronto Parkland Strategy[^1]. This dataset is jointly maintained by the Geospatial Competency Centre (GCC) and the Parks, Forestry & Recreation division (PFR). The attribute field in this dataset titled "AREA_CLASS" indicates whether the GCC or PFR maintain the data and the type of green space it is. **PFR Green Spaces** PFR Green Spaces are owned and/or operated by the City of Toronto and are derived from PFR's Parkland Asset Repository. They include the area classes: Park, Golf Course, Cemetery, Hydro Field/Utility Corridor, and others. Representation of Green Spaces can change overtime – due to new park acquisitions, development/reconfiguration of land etc. – PFR works to continuously improve the City-PFR-owned portions of this dataset as new information arises. **GCC Green Spaces** All other Green Spaces were created by the GCC and include area classes with the prefix of "OTHER_". These green spaces are derived through city-wide parcel analysis. [^1]This Green Spaces layer cannot be used to reproduce the results of the [2019 Parkland Strategy](https://www.toronto.ca/city-government/accountability-operations-customer-service/long-term-vision-plans-and-strategies/parkland-strategy/), however the GCC Green Spaces portions of the dataset was used to help visualize Other Open Spaces in "Figure 06: Toronto’s Parks and Open Space Network" of the report. The Toronto Parkland Strategy is currently in the process of being updated and new parkland data is not yet finalized.
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Parks
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 **This dataset is no longer accurate. Please see [Green Spaces](https://open.toronto.ca/dataset/green-spaces/) for the most accurate and up to date data.** The parks data set provides the boundaries and park names for over 2000 public green areas within the City of Toronto. Each park is described with a unique identifier, name and feature code.
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Pedestrian Network
City of Toronto Open Data
gcc@toronto.ca — 2019-08-29 The Pedestrian Network (pednet) was created by the DAV team at the City of Toronto, and it is based on the sidewalk inventory from Transportation Services, Toronto road centrelines, and manual collection from aerial imagery. Pednet is integrated with centerline intersections, traffic signals, pedestrian crosswalks and crossovers, traffic signal data from Transportation Services as well as other City of Toronto datasets. Pednet was built using a variety of open source libraries such as NetworkX, Pandana, Quantum GIS, and Space syntax, as well as production mapping tools from ESRI’s ArcPro/ArcMap. The project source code can be found on DAV’s GitHub account here, which includes the semi-automated offsetting method from the Sidewalk Inventory and the analytical procedures undertaken. Pednet is a data model resembling a network graph (edges and nodes) weighted by linear distance. Shortest routes were calculated from every building centroid in the city to the nearest nth amenity at the maximum distance of 5000m. Walk times were calculated in the nearest minutes, using the prescribed 1.0m/per-second velocity used by Transportation services. Two separate versions of pednet were created in this iteration of the project: 1) using actual linear distances as network weights, and 2) where crosswalks were “extended” by 20% of their length to impose additional impedance to their distances and walk times. For every address within the City of Toronto, the walk times were calculated to various amenities like schools, libraries, hospitals, supermarkets, TTC stops and convenience stores see Section 3. Walk times were assigned to individual addresses as attributes. We then aggregated all these walk times to the census tract level and calculated the minimum, maximum, standard deviation, median, and average walk times. We used these aggregated values to both: 1) relate walkability measures to Statistics Canada Census data for socio-demographic analysis, as well as 2) the building footprints, pednet centerlines, and census tract area boundaries to be used in choropleth maps contained within the following sections. https://open.toronto.ca/open-data-license/
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Property Boundaries
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 This data is a GIS file that outlines the geographical area of all properties in the City of Toronto. While every attempt is made to keep this dataset up to date, it has been compiled over many years, from numerous records of varying age and reliability. As such, the resulting accuracy of the boundary mapping information renders it suitable for general planning purposes only and is not a substitute for a plan of survey. **Column Definition** + OBJECTID represents a unique identifier. It is not guaranteed to be consistent between data updates. + F_TYPE represents Feature Type. Can be one of the following values "COMMON", "CONDO", "CORRIDOR", "RESERVE" **Feature Type Definition** + Condo - A closed boundary that represents the extent of ownership by a Condominium Corporation. + Corridor - Describes a section of legal Right-of-Way. + Reserve - A unit of land of varying width (usually 0.3 metres (1 foot) wide) used to restrict access to private/public properties, such as access to adjoining public highways. + Common - A municipal parcel that is not designated as Corridor, Reserve or Condominium. A subdivision lot is a typical Common parcel.
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Topographic Mapping – Building Outlines
City of Toronto Open Data
gcc@toronto.ca — 2023-10-06 Polygon layer representing the physical area of buildings. Building polygon collection is split into two “classes”. - Simple buildings are buildings which are 3 storeys or less. These building polygons will be collected at the outer extents of the roof. - Complex buildings are collected as multiple overlapping polygons representing the extents of individual roof elevations. Rooftop structures (i.e. Elevator rooms, air conditioning structures) may be collected as well. These polygons Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph.
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Topographic Mapping – Impermeable Surface
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 - The Impermeable Surface dataset is a 1-bit raster indicating mainly artificial structures o Pixel values of 0 indicate impermeable land o Pixel values of 1 indicate permeable land - Impermeable surfaces will not absorb water, and will instead cause surface runoff of water - Permeable surfaces will absorb water Please note: Data was derived from remotely sensed multispectral optical data. Data is limited to the City of Toronto geographic boundary. The methodologies used in this process are under development, and known artefacts and omissions exist within it. Data is intended for planning use only, not to be used as a replacement for rigorous field inspection and validation. https://open.toronto.ca/open-data-license/
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Topographic Mapping – Physical location of trees
City of Toronto Open Data
gcc@toronto.ca — 2019-10-18 Point layer representing the physical location of trees. Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph. https://open.toronto.ca/open-data-license/
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Topographic Mapping - Water Line
City of Toronto Open Data
gcc@toronto.ca — 2023-07-19 Line layer representing small waterways. These are for any waterways too narrow to accurately determine both banks of the waterway. For any waterway wide enough to determine both sides of the banks, please refer to the Topographic Mapping - Water Bodies and Rivers dataset. These lines are part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph.
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Topographic Mapping – Physical area of parking lots
City of Toronto Open Data
gcc@toronto.ca — 2019-10-18 Polygon layer representing the physical area of parking lots. Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph. https://open.toronto.ca/open-data-license/
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Topographic Mapping - Poles
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 Topographic mapping includes features that are visible on the ground (planimetric), or can be derived from photogrammetric measurements. The pole dataset is broken down into the following subtypes: - Circular Hydro Tower - Pedestrian Light Pole - Street Light Pole - Street Light and Traffic Signal Pole - Traffic Signal Pole - Miscellaneous Pole **Limitation:** Data is collected via manual digitization from aerial imagery. It has a ground accuracy of +- 30cm. Poles added/deleted/moved through construction may not be reflected in the dataset immediately due to operational constraints. Due to the inability to see poles located close to tall buildings, or in areas of deep shadow; some poles may not be collected at all. https://open.toronto.ca/open-data-license/
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Topographic Mapping – Physical area of sidewalks
City of Toronto Open Data
gcc@toronto.ca — 2019-10-18 Polygon layer representing the physical area of sidewalks. Part of the City’s topographic mapping products, the data is collected from high resolution aerial photography. The data is a representation of the physical features that are visually identifiable in an aerial photograph. https://open.toronto.ca/open-data-license/
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Triangular Irregular Network (TIN)
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 Triangular Irregular Network (TIN) polygon elevation data. This TIN was derived from a 2015 LiDAR-derived 2.5 metre resolution bare-earth elevation source data. **Attributes**<br> Avg\_Elev - Average Elevation of the polygon<br> Aspect - Directional measure of slope<br> Slope - Rate of change of elevation at a surface location in degrees <br> Ptg\_Slope - Percentage Slope - Rate of change of elevation at a surface location as a percentage<br> **Projection** + NAD83 (CSRS) / MTM zone 10 (EPSG:2952) **License Information** + Contains information licensed under the [Open Government Licence – Canada](https://open.canada.ca/en/open-government-licence-canada) and [Open Government Licence – Toronto](https://www.toronto.ca/city-government/data-research-maps/open-data/open-data-licence/)
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Web Map Services
City of Toronto Open Data
gcc@toronto.ca — 2019-07-23 The following published OGC compliant WMTS services facilitate access to live geospatial data from the City of Toronto. All WMTS services are in Web Mercator projection. ## Orthorectified Aerial Imagery The following dataset provides access to the most current geometrically corrected (orthorectified) aerial photography for the City of Toronto. Previous year Orthoimagery is available through the links provided below. ## Historic Aerial Imagery These datasets are all sourced from scans of the original black and white aerial photography. These images have not gone through the same rigorous process that current aerial imagery goes through to create a seamless orthorectified image, corrected for the changes in elevation across the City. Due to this, the spatial accuracy of these datasets varies across the City. Be aware that there are known issues with some regions of data due to issues with the source data. These datasets intended use is to show land use changes over time and other similar tasks. It is not suitable for sub-metre level accuracy feature collection and is provided “as-is”. ## Aerial LiDAR - Hillshade A hillshade is a hypothetical illumination of a surface by determining illumination values for each cell in a raster. It is calculated by setting a position for a hypothetical light source and calculating the illumination values of each cell in relation to neighboring cells. It can be used to greatly enhance the visualization of a surface for analysis or graphical display, especially when using transparency. The City of Toronto publishes hillshades in both bare earth (no above-ground features included), and full-feature. Bare Earth Full Feature https://open.toronto.ca/open-data-license/

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(source : Canadian Urban Data Catalogue) AND (auteur : gcc@toronto.ca)

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