Grid System: 3 Degree and 6 Degree
Vertical datum: unknown
Horizontal Accuracy:
Vertical Accuracy: N/A

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... Visit https://dataone.org/datasets/sha256%3A3e3f055bf6281f979484f847d0ed5eeb96143a369592149328c370fe5776742b for complete metadata about this dataset.

Ravine & Natural Feature Protection area and limit as regulated by City of Toronto Municipal Code Chapter 658 - Ravine & Natural Feature Protection. Please note: Dataset is limited to the City of Toronto geographical boundary. Dataset works best if you open it with GIS/CAD software and reference these layers: City of Toronto Street Centreline, Address Points and Property Boundaries. If your original design drawing has been created without a coordinate system, you will need to reference the city's datasets and then move, scale and/or rotate your data to line up with the property limits for the property you are working with.

Police Rules of 1862 introduced the obligation to keep Charge books to record charges against prisoners, the nature of the charges, the names of those charged as well as any prisoner's property. (1)

This series consists of Charge books from the Toronto Police Station.

Details pertaining to the charge itself included: the charge number; the date and hour of both the apprehension and the recording of the charge in the Charge book; personal details of the person being charged including name, address, date and place of birth, height, calling/occupation, and nationality; a short summary of the nature of the offence; the full name and address of the informant (usually the constable); any property found on the prisoner and the prisoner's property book reference number; signatures of the watch house keeper / Station Sergeant and the searching Constable; name of apprehending officer; signature of prosecutor; if the prisoner was bailed (date and hour, by whose order, amount of cash or surety, and bail form receipt number); if not bailed, the date and time of discharge from cells; how the case was disposed of including date and name of magistrate; and any remarks (usually details of discharge or if sent to another prison).

In general entries became less detailed over time but the format of the entries and the type of information collected remained similar.

From around 1950 annual single numbers began to be used for entries relating to charges though the year may have been recorded either before or after the single number (eg. 42/ 1, 2/54 or 87/3). From around the 1980s charge books for each police station were given volume numbers from '1' onwards, in chronological order.

Hardcopy charge books were gradually replaced by online systems between approximately 1990 and 1994. The COPS system (Computerised Operational Policing System) was introduced in 1994, preceded by the Online Charging records system (1990-1995), an interim system used as a back-up for the implementation of COPS.

Endnote
1. Police Rules, Nos. 360-361 and 369, NSW Government Gazette No.49, 1 March 1862, pp.498-499.

This dataset provides a list of top 20 offences ranked by volume, for occurrences linked to a firearm seizure. General Qualifiers Data is extracted from Property & Equipment Management System (PEMS) Filtered by seized date Seizure was linked to an occurrence, ranked top 20 offences based on UCR Codes 1-4 Ranking 1-20 in order of volume of offences descending