Please note that this dataset is not an official City of Toronto land use dataset. It was created for personal and academic use using City of Toronto Land Use Maps (2019) found on the City of Toronto Official Plan website at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/official-plan-maps-copy, along with the City of Toronto parcel fabric (Property Boundaries) found at https://open.toronto.ca/dataset/property-boundaries/ and Statistics Canada Census Dissemination Blocks level boundary files (2016). The property boundaries used were dated November 11, 2021. Further detail about the City of Toronto's Official Plan, consolidation of the information presented in its online form, and considerations for its interpretation can be found at https://www.toronto.ca/city-government/planning-development/official-plan-guidelines/official-plan/ Data Creation Documentation and Procedures Software Used The spatial vector data were created using ArcGIS Pro 2.9.0 in December 2021. PDF File Conversions Using Adobe Acrobat Pro DC software, the following downloaded PDF map images were converted to TIF format. 9028-cp-official-plan-Map-14_LandUse_AODA.pdf 9042-cp-official-plan-Map-22_LandUse_AODA.pdf 9070-cp-official-plan-Map-20_LandUse_AODA.pdf 908a-cp-official-plan-Map-13_LandUse_AODA.pdf 978e-cp-official-plan-Map-17_LandUse_AODA.pdf 97cc-cp-official-plan-Map-15_LandUse_AODA.pdf 97d4-cp-official-plan-Map-23_LandUse_AODA.pdf 97f2-cp-official-plan-Map-19_LandUse_AODA.pdf 97fe-cp-official-plan-Map-18_LandUse_AODA.pdf 9811-cp-official-plan-Map-16_LandUse_AODA.pdf 982d-cp-official-plan-Map-21_LandUse_AODA.pdf Georeferencing and Reprojecting Data Files The original projection of the PDF maps is unknown but were most likely published using MTM Zone 10 EPSG 2019 as per many of the City of Toronto's many datasets. They could also have possibly been published in UTM Zone 17 EPSG 26917 The TIF images were georeferenced in ArcGIS Pro using this projection with very good results. The images were matched against the City of Toronto's Centreline dataset found here The resulting TIF files and their supporting spatial files include: TOLandUseMap13.tfwx TOLandUseMap13.tif TOLandUseMap13.tif.aux.xml TOLandUseMap13.tif.ovr TOLandUseMap14.tfwx TOLandUseMap14.tif TOLandUseMap14.tif.aux.xml TOLandUseMap14.tif.ovr TOLandUseMap15.tfwx TOLandUseMap15.tif TOLandUseMap15.tif.aux.xml TOLandUseMap15.tif.ovr TOLandUseMap16.tfwx TOLandUseMap16.tif TOLandUseMap16.tif.aux.xml TOLandUseMap16.tif.ovr TOLandUseMap17.tfwx TOLandUseMap17.tif TOLandUseMap17.tif.aux.xml TOLandUseMap17.tif.ovr TOLandUseMap18.tfwx TOLandUseMap18.tif TOLandUseMap18.tif.aux.xml TOLandUseMap18.tif.ovr TOLandUseMap19.tif TOLandUseMap19.tif.aux.xml TOLandUseMap19.tif.ovr TOLandUseMap20.tfwx TOLandUseMap20.tif TOLandUseMap20.tif.aux.xml TOLandUseMap20.tif.ovr TOLandUseMap21.tfwx TOLandUseMap21.tif TOLandUseMap21.tif.aux.xml TOLandUseMap21.tif.ovr TOLandUseMap22.tfwx TOLandUseMap22.tif TOLandUseMap22.tif.aux.xml TOLandUseMap22.tif.ovr TOLandUseMap23.tfwx TOLandUseMap23.tif TOLandUseMap23.tif.aux.xml TOLandUseMap23.tif.ov Ground control points were saved for all georeferenced images. The files are the following: map13.txt map14.txt map15.txt map16.txt map17.txt map18.txt map19.txt map21.txt map22.txt map23.txt The City of Toronto's Property Boundaries shapefile, "property_bnds_gcc_wgs84.zip" were unzipped and also reprojected to EPSG 26917 (UTM Zone 17) into a new shapefile, "Property_Boundaries_UTM.shp" Mosaicing Images Once georeferenced, all images were then mosaiced into one image file, "LandUseMosaic20211220v01", within the project-generated Geodatabase, "Landuse.gdb" and exported TIF, "LandUseMosaic20211220.tif" Reclassifying Images Because the original images were of low quality and the conversion to TIF made the image colours even more inconsistent, a method was required to reclassify the images so that different land use classes could be identified. Using Deep learning Objects, the images were re-classified into useful consistent colours. Deep Learning Objects and Training The resulting mosaic was then prepared for reclassification using the Label Objects for Deep Learning tool in ArcGIS Pro. A training sample, "LandUseTrainingSamples20211220", was created in the geodatabase for all land use types as follows: Neighbourhoods Insitutional Natural Areas Core Employment Areas Mixed Use Areas Apartment Neighbourhoods Parks Roads Utility Corridors Other Open Spaces General Employment Areas Regeneration Areas Lettering (not a land use type, but an image colour (black), used to label streets). By identifying the letters, it then made the reclassification and vectorization results easier to clean up of unnecessary clutter caused by the labels of streets. Reclassification Once the training samples were created and saved, the raster was then reclassified using the Image Classification Wizard tool in ArcGIS Pro, using the Support...

Location data, images, some historical information and maps of Historical Breweries in Toronto. This work and data compilation were inspired by the following book. St. John, Jordan. Lost Breweries of Toronto. Charleston, SC: History Press, 2014. Further Images and maps used in the accompanying Story Maps Workshop can also be found on flickr at https://flic.kr/s/aHsmkrMS9g and https://flic.kr/s/aHskDv5WiU

Data used to make the Disappearing Rivers web map. Includes historical maps, and GIS data for digitized rivers. This data, and the webmap, were developed through a partnership between the Lost Rivers project, and Geohistory-Géohistoire Canada. More information about the web-mapping project is available here.

Zoom in on the map above and click your area of interest to determine which package(s) you require for download.

A three-dimensional raster data set which represents a continuous elevation surface. This data set encompasses the Greater Toronto Area (GTA) and the surrounding area from Niagara to Lake Simcoe and the Kawartha Highlands to Port Hope. The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m.

This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies.

This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model.

The source data for the GTA 2002 DEM can be found in the Ontario Mass Points and Breaklines.

Product Packages

GTA 2002 DEM - North East GTA 2002 DEM - North West GTA 2002 DEM - South West

Additional Documentation

GTA DEM 2002 - User Guide (Word)

GTA 2002 DEM Tile Index (.Zip)

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

Not planned: there are no plans to update the data

Contact

Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

This data is only available to ministries of the Ontario Public Service (OPS) and their agencies, boards and commissions. By obtaining the imagery data described in this record, you accept the terms outlined in the Memorandum of Restricted Imagery Use.For more information and to order imagery products please refer to the Imagery Order Form.

The imagery was acquired by First Base Solutions Between April 4 2013 and May 4 2013. Ortho image processing was completed using a combination of PCI and Intergraph software. The Province of Ontario does not distribute this data to the general public.

Time of Capture: April 4th to May 4th, 2013 Coverage: 7,614 sq km Canopy Coverage: Leaf-Off

Available Products Orthorectified Tiles - 1km x 1km, 20cm resolution, 8-bit, RGB in .TIFF format (95.7MB/tile) and a compressed format (approx. 5MB/tile)

Greater Toronto Area (GTA) 2013 - Ortho Index (Shapefile)

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

Not Stated

Contact

Ontario Ministry of Natural Resources and Forestry - Spatial Data Support Unit, imageryorders@ontario.ca

Summary of the City of Toronto Zoning, summarized by neighbourhood. Courtesy of the City of Toronto Open Data team (opendata@toronto.ca) Zoning: http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=5a9923e69b4a6410VgnVCM10000071d60f89RCRD&vgnextchannel=1a66e03bb8d1e310VgnVCM10000071d60f89RCRD Neighbourhoods: http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=04b489fe9c18b210VgnVCM1000003dd60f89RCRD&vgnextchannel=1a66e03bb8d1e310VgnVCM10000071d60f89RCRD

Toronto’s Don River Valley is arguably the city’s most distinctive physical feature. As a provider of water, power, sustenance, building materials, and transportation, it has played an important role in the city’s settlement and development. The river valley has changed dramatically in the years since European settlement, particularly during the late nineteenth and early twentieth century, when the Lower Don River was straightened and channelized and the huge marsh at its mouth drained and filled. Today, the Lower Valley forms the foundation for one of the most densely populated areas in Canada, outlining as it does the eastern portion of Toronto’s downtown core and radiating residential areas. This project documents historical changes in the landscape of the Don River Valley. Drawing from the wide range of geographical information available for the Don River watershed (and the Lower Don in particular), including historical maps, geological maps, fire insurance plans, planning documents, and city directories, the project uses Geographic Information Systems software to place, compile, synthesize and interpret this information and make it more accessible as geospatial data and maps. The project is a work in progress. To date, we have scanned several dozen historical maps of Toronto and the Don River watershed, and compiled the following geospatial datasets: 1) changes to the river channel and shoreline of Toronto harbour, 1858-1918; 2) industrial development in the Lower Don River Watershed, 1857-1951 (as points, and in some cases polygons); 3) historical mill sites in the Don River Watershed, 1825; 18524) land ownership in the watershed, 1860 and 1878; and 4) points of interest in the watershed. In the future, we hope to expand the project to include data from other Toronto area watersheds and other parts of the city. The project was conducted through a collaboration between Jennifer Bonnell, a doctoral student in the History of Education program at the University of Toronto's Ontario Institute for Studies in Education (OISE/UT) - now at York University in the History Department and Marcel Fortin, the Geographic Information Systems (GIS) and Map Librarian at the University of Toronto's Map and Data Library. Financial and in-kind support was provided by the Network in Canadian History and Environment (NiCHE) and the University of Toronto Libraries. Valuable research support for the Points of Interest pages came from Lost Rivers, a community-based urban ecology organization focused on building public awareness of the City's river systems. Jordan Hale, a University of Toronto Geography student conducted much of the digitization and database work.This project could not have been completed without their skilled assistance and dedication.

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.

Historical streetcar routes in Toronto from 1861 - 1961. This includes the route, the route name, the date the route started, the date the route ended, the type of service provided, service hours, notes on the route, a route ID, the decade a route started, the length of the route, the owner of the route, and the sector the route was in (public or private). Includes streetcars, radials, and the Belt Line railway. Date of creation: 2015 - 2016 Projection: NAD83 UTM Zone 17 Data type: Vector

This is a geo-spatial file that outlines the service districts of the City of Toronto. This is a GIS polygon file that is best used when it is overlaid with the City of Toronto Street Centreline GIS file.

Field Name - Description/Definition AREA_ID - Internal geographic identifier AREA_NAME - Name of the former municipality OBJECTID - Internal unique object ID This data is a GIS file that outlines visually the geographical administrative boundary of the City of Toronto. This data set is used for creating maps and map applications, as well as for operational use within the City of Toronto. There are two mapping formats available: MTM3 Degree NAD 27 and WGS84 latitude and longitude.

These scanned images were scanned and georeferenced by Magda Biesiada, Data, Map, and Government Information Services, Data & GIS Services, University of Toronto.

An ArcGIS Dashboard built around layers used in the GeoHealth Network–Esri Canada "Web GIS for Health Measures" workshop series. For more information about the map layers, please see the For more information about the layers, please see this item page in ArcGIS Online.

Use the Geospatial Ontario Imagery Orders App to select and request uncompressed or compressed digital imagery tiles from Geospatial Ontario for transfer directly to you.

This colour aerial photography was flown using a Zeiss Jena LMK15 aerial camera equipped with a 6" (152mm) focal length lens mounted in a Piper Aztec F aircraft. It was captured on September 15, 28, and 29, 1995. The altitude of the aircraft, 15,000 feet above mean ground, provided photography at a nominal scale of 1:30000. Originally captured on film, the imagery was converted digitally and orthorectified. The final product has the same accuracy as a 1:20000 map.

Time of Capture: September 1995 Coverage: 6,289 sq km Canopy Coverage: Leaf-Off

Available Products Orthorectified Tiles - approx. 5km x 2.8km, 100cm resolution, 8-bit, RGB in .TIFF format (40MB/tile) and a compressed format (approx. 1MB/tile)

Greater Toronto Area (GTA) 1995 - Ortho Index (Shapefile)

Additional ResourcesImagery User Guide (.docx) Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

Not planned: There are no plans to update the data

Contact

Ontario Ministry of Natural Resources - Geospatial Services, imagery@ontario.ca

FID - system field, record identifier SHAPE - system field, file type indentifier ADDRESS - street address of transfer station NAME - name of transfer station The data was geocoded based on the address of each Transfer station and the data is limited to the City of Toronto Boundaries. This data set is best utilized with a GIS software package and overlaid with Toronto's street foundation geography.

Greater Toronto Area boundary is extracted from Land Information Ontario Municipal Boundary -Upper Tier and District Updates are done as needed. Changes may occur as a result of correction of errors or improvement in positional accuracy, at any time.Additional DocumentationMuncipal Boundary Upper Tier and District - Data Description (PDF)Municipal Boundary - Upper Tier and District - Documentation (Word)Les limites de la région du grand Toronto (RGT) ont été déterminées à partir des limites des districts et des municipalités à palier supérieur du programme Information sur les terres de l’Ontario.Mises à jour faites au besoin. Des modifications peuvent être apportées en tout temps à la suite de corrections ou d’améliorations relatives à l’exactitude des points de position

Extreme heat is the most common climate-related hazard globally, with rising temperatures and more frequent heat waves affecting cities, ecosystems, and food production. Urban heat islands (UHIs), where city temperatures are higher than surrounding rural areas, are becoming more prevalent due to climate change. This occurs because urban structures like buildings and roads trap more heat than natural landscapes. To address this, creating a heat risk index (HRI) is essential for developing localized adaptation plans and prioritizing areas most at risk. This web map showing health risk index (HRI), temperature variations, population density, tree canopy cover across Toronto city. The inputs for this HRI was derived from multiple data sources from the ArcGIS Living Atlas of the World.

Field Name - Description/Definition AREA_ID - Internal geographic identifier AREA_NAME - Name of the former municipality OBJECTID - Internal unique object ID This data is a GIS file that outlines visually the geographical administrative boundary of the City of Toronto. This data set is used for creating maps and map applications, as well as for operational use within the City of Toronto. There are two mapping formats available: MTM3 Degree NAD 27 and WGS84 latitude and longitude.

See the Readme file: Drop-In Locations (TDIN Members) Readme.xls This data set contains the locations of drop-in centres within Toronto that are members of the Toronto Drop-In Network. The Toronto Drop-In Network (TDIN) is an active coalition of drop-in centres working with people who are homeless, marginally housed or socially isolated in Toronto. Our Network includes drop-ins of all sizes and diverse philosophies serving men, women, youth, seniors and families. Member agencies are located throughout the City of Toronto. The dataset is a City-wide GIS point file and is best utilized when overlaid with City's Street Centreline file.

The Digital Elevation Model (DEM) data is organized into 20km x 20km tiles with a spatial resolution of 5m. This data is intended to be used for pre-engineering survey and design as well as the production of planimetric mapping at differing accuracies. This data is intended for GIS and remote sensing application that require a high resolution, high accuracy elevation model. Official GEO title: Greater Toronto Area digital elevation model 2002 *[DEM]: Digital Elevation Model