https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Contains 2 datasets:
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
A Township is a land subdivision in Ontario.This information was captured through the Ontario Base Mapping Program, is maintained by the Ministry of Natural Resources and distributed through Land Information Ontario (LIO) Warehouse.The spatial accuracy for some of the townships was improved through the Ontario Parcel, Township Realignment and Township Improvement projects.Improvements may include:road allowance widthsspatial changes to better represent where the township boundaries are locatedmore consistent concession namesMaterials used to improve the location of township lines may include:township Improvement plotssurvey information i.e. retracementsoriginal township planssurveys notesthe physical features e.g. fence lines in the corporate editing environmentwater bodiesGPS Ontario Road Network geometryPlease see the full metadata record for more information.Additional DocumentationGeographic Township, Improved - Data Description (PDF)Geographic Township, Improved - Documentation (Word)Geographic Township, Improved - FAQ (PDF)StatusOn going: Data is continually being updatedMaintenance and Update FrequencyAnnually: Data is updated every yearOffice of the Surveyor General, landtenuremapping@ontario.ca
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
SINGLE TIER - A single-tier municipality means a municipality that does not form part of an upper-tier municipality for municipal purposes and assumes all municipal responsibilities set out under the Municipal Act and other Provincial legislation. LOWER TIER - A lower-tier municipality means a municipality that forms part of an upper-tier municipality for municipal purposes. Municipal responsibilities set out under the Municipal Act and other Provincial legislation are split between the upper tier and lower tier municipalities. Additional Time Period Information: Updates are done as required. Changes may occur as a result of correction of errors or improvement in positional accuracy, at any time.
Additional Documentation
Municipal Boundary - Lower and Single Tier - Data Description (PDF) (Document Update in Progress) Municipal Boundary - Lower and Single Tier - Documentation (Word)
Status
On going: data is being continually updated
Maintenance and Update Frequency
Annually: data is updated every year
Contact
Paul McKenzie, Paul.McKenzie@ontario.ca
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Geographic Information System (GIS) data with the following mapping layers from the Greenbelt Plan:
The data also contains associated policy designation mapping.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
A Township is a land subdivision in Ontario. This information was captured through the Ontario Base Mapping Program, is maintained by the Ministry of Natural Resources and distributed through Geospatial Ontario (GEO) Warehouse. The spatial accuracy for some of the townships was improved through the Ontario Parcel, Township Realignment and Township Improvement projects. Improvements may include: * road allowance widths * spatial changes to better represent where the township boundaries are located * more consistent concession names Materials used to improve the location of township lines may include: * township Improvement plots * survey information i.e. retracements * original township plans * surveys notes * the physical features e.g. fence lines in the corporate editing environment * water bodies * GPS Ontario Road Network geometry This product requires the use of GIS software. * [GEO]: Geospatial Ontario * [GIS]: geographic information system
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
UPPER TIER - An upper-tier municipality means a municipality of which two or more lower-tier municipalities form part for municipalities purposes. Municipal responsibilities set out under the Municipal Act and other Provincial legislation are split between the upper tier and lower tier municipalities.
DISTRICT - Territorial district means a geographic area in northern Ontario, which is described in the Territorial Division Act and is composed of municipalities, geographic townships, and unsurveyed territory.
Additional Time Period Information: Updates are done as required. Changes may occur as a result of correction of errors or improvement in positional accuracy, at any time.
Additional Documentation
Municipal Boundary - Upper Tier and District - Data Description (PDF) (Document Update in Progress) Municipal Boundary - Upper Tier and District - Documentation (Word)
Status
On going: data is being continually updated
Maintenance and Update Frequency Annually: data is updated every year
Contact Paul McKenzie, Community Services I&IT Cluster, Paul.McKenzie@ontario.ca
Contains the boundary of the Town of Caledon and the Cities of Brampton and Mississauga, the three of which collectively constitute the Region of Peel. The Region of Peel has regional municipal jurisdiction within, and only within, the larger boundary; individual municipalities have jurisdiction within, and only within, their respective boundaries.There is a division of powers and responsibilities between these 3 municipalities, referred to by the Province as "lower tier municipalities", and the Region of Peel (referred to by the Province as an "upper tier municipality").A recent update to the data includes new land added along Lake Ontario near the boundary with Toronto.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This is a dataset of historic southern Ontario road (line), rail (line), municipality, (point) county (polygon) and district (polygon) shapefiles. The shapefiles were created based on georeferenced historic maps of Ontario from the years 1800, 1818, 1837, 1852, 1861, 1879, 1901, 1922, and 1955.
Polygon feature layer representing land use applications that are before the Ontario Municipal Board (OMB) in the City of Barrie.
Relevant fields within the layer include (but not limited to): Address, Description, Type and File Number
The City of Barrie is situated in the heart of Central Ontario, a premier waterfront community on Lake Simcoe, conveniently located an hour north of Toronto. Visit barrie.ca for more information or contact Service Barrie at 705-726-4242 or ServiceBarrie@barrie.ca
Geographic Township is a polygon feature that indicates the fundamental land subdivision fabric of the Province. Each Geographic Township area may or may not be the same as the jurisdictional area of the township.The location of township lines on the Ontario Base Maps (OBM) were determined by using a combination of both survey information, i.e., retracements, original township plans, surveys notes, etc.; and OBM physical features such as roads, trails, fence lines, and water bodies. In some areas where there were almost no OBM physical features available, aerial photographs may have been used to help determine boundaries. Unorganized areas are derived from Ontario Ministry of Natural Resources Base Map Areas.Data are available in ArcView® 3.x format.
Available on CD Rom at the Map and Data Library. CD #254.
This layer contains both Consolidated Municipal Service Managers (CMSM) & District Social Services Administration Boards (DSABS) based on the 2013 municipal boundary. This layer was built on the full 2013 municipal boundaries: Districts, Single tiers, and Sault Ste Marie Planning Board.The Consolidated Municipal Service Managers (CMSM) and District Social Services Administration Boards (DSSAB) are members of the Ontario Municipal Social Service Association (OMSSA). CMSM is an organization responsible for funding, planning, managing, and delivering human services including learning and child care, employment and income supports, and housing and homelessness prevention programs within specified region in Ontario. There are 47 CMSMs in Ontario that were created as a result of the consolidation of municipal service management that began in 1998. These are primarily made up of upper tier municipalities in southern Ontario and District Social Service Administration Boards (DSSABs) in northern Ontario. Note Indian Reserves were not included in the creation of the boundary. See http://www.e-laws.gov.on.ca/html/regs/english/elaws_regs_980278_e.htm for DSSAB definitions See http://www.e-laws.gov.on.ca/html/regs/english/elaws_regs_980136_e.htm for CMSM definitionsThe original shapefile was compressed using the “Simplify by Polygon (Cartography)” tool with the following specifications applied: Simplification Algorithm: Bend SimplifyReference Baseline: 1.5 KilometersAs a result, there will be some distortion along the shorelines. Please note, this dataset is a modified version of the original Consolidated Municipal Service Manager (CMSM) and District Social Service Administration Board (DSSAB) Boundary File. There are 47 CMSM/DSSAB’s in Ontario, but the original dataset contains 76 map features. This is due to some boundaries consisting of both mainland areas and islands areas. In the modified version there are 47 CMSM/DSSAB boundaries and 47 map features. If an area has both a Land and Island extent, they are displayed as one area with the extent being land. The CMSM of Grey has a different Municipal Service Offices (MSO) for the Land and Island extents. In this dataset, the Land MSO is used.
Exploring new ways to share information with each other is a cornerstone of improving the planning process. To do this it is essential to have city-wide data in accessible formats. A variety of 3D digital information and models exist but currently the data is not readily available to the general public. Providing a consistent city-wide 3D data source will link these digital city planning models and materials together and will allow us to imagine our city from different perspectives. The Open Data site will enable access to application developers, designers, urban planners and architects, and the public. Ideally this will enable the creation of a visual portal and access to a large collection of city building ideas. Further to the Open Government Licence, the Context Massing Model is being provided by City Planning on the Open Data website for information and illustrative purposes only. City Planning does not warranty the completeness, accuracy, content, or fitness for any precision purpose or use of context massing model for such purposes, nor are any such warranties to be implied or inferred with respect to Context Massing Model as furnished on the website. City Planning and the City are not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of Context Massing Model, or applications utilizing Context Massing Model, provided by any third party. Context Massing Model MUST BE VERIFIED BY THE USER FOR LEGAL OR OFFICIAL USE. Please use this Interactive Map to locate the 3D Massing tiles for SketchUp and AutoCAD format For further information visit the Urban Design web site A note on property assessments: MPAC (Municipal Property Assessment Corporation) holds copyright on many aspects of data around properties. The City of Toronto is unable to provide this data. From the MPAC website: MPAC 's range of services includes: Preparing annual Assessment Rolls for use by municipalities and the Province to calculate property and education taxes. Assessment Maps and Ontario Parcel (TM) In 2005, MPAC, the Ontario Government and Teranet Enterprises Inc. completed the Ontario Parcel(TM) - an ambitious project that brings assessment, ownership and land parcel data for almost 4.6 million properties into a standardized digital database. ... The Ontario Parcel(TM) is available to Ontario municipalities, public organizations and private businesses. Among other things, the Ontario Parcel(TM) data can be applied to property assessment and taxation, land registration, land use planning, land management and business planning. With the implementation of the Ontario Parcel (TM) and the digital mapping environment, MPAC no longer produces paper assessment maps. If you would like more information about the products and services available under the Ontario Parcel (TM), please visit the Ontario Parcel (TM) website at www.ontarioparcel.ca. You will need to contact MPAC directly for data that you may perceive as missing. MPAC website.
Exploring new ways to share information with each other is a cornerstone of improving the planning process. To do this it is essential to have city-wide data in accessible formats. A variety of 3D digital information and models exist but currently the data is not readily available to the general public. Providing a consistent city-wide 3D data source will link these digital city planning models and materials together and will allow us to imagine our city from different perspectives. The Open Data site will enable access to application developers, designers, urban planners and architects, and the public. Ideally this will enable the creation of a visual portal and access to a large collection of city building ideas. Further to the Open Government Licence, the Context Massing Model is being provided by City Planning on the Open Data website for information and illustrative purposes only. City Planning does not warranty the completeness, accuracy, content, or fitness for any precision purpose or use of context massing model for such purposes, nor are any such warranties to be implied or inferred with respect to Context Massing Model as furnished on the website. City Planning and the City are not liable for any deficiencies in the completeness, accuracy, content, or fitness for any particular purpose or use of Context Massing Model, or applications utilizing Context Massing Model, provided by any third party. Context Massing Model MUST BE VERIFIED BY THE USER FOR LEGAL OR OFFICIAL USE. Please use this Interactive Map to locate the 3D Massing tiles for SketchUp and AutoCAD format For further information visit the Urban Design web site A note on property assessments: MPAC (Municipal Property Assessment Corporation) holds copyright on many aspects of data around properties. The City of Toronto is unable to provide this data. From the MPAC website: MPAC 's range of services includes: Preparing annual Assessment Rolls for use by municipalities and the Province to calculate property and education taxes. Assessment Maps and Ontario Parcel (TM) In 2005, MPAC, the Ontario Government and Teranet Enterprises Inc. completed the Ontario Parcel(TM) - an ambitious project that brings assessment, ownership and land parcel data for almost 4.6 million properties into a standardized digital database. ... The Ontario Parcel(TM) is available to Ontario municipalities, public organizations and private businesses. Among other things, the Ontario Parcel(TM) data can be applied to property assessment and taxation, land registration, land use planning, land management and business planning. With the implementation of the Ontario Parcel (TM) and the digital mapping environment, MPAC no longer produces paper assessment maps. If you would like more information about the products and services available under the Ontario Parcel (TM), please visit the Ontario Parcel (TM) website at www.ontarioparcel.ca. You will need to contact MPAC directly for data that you may perceive as missing. MPAC website.
Pre-amalgamation townships in Grey CountyThe boundaries represent the townships prior to Amalgamation details. (2001), referred to as geographic townships. The boundaries are sometimes still used for local communities; although, they will not reflect changes made to the amalgamated townships boundaries.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the Zenodo archive for the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada" (Mucaki EJ, Shirley BC and Rogan PK. F1000Research 2021, 10:1312, DOI: 10.12688/f1000research.75891.1). This study aimed to produce community-level geo-spatial mapping of patterns and clusters of symptoms, and of confirmed COVID-19 cases, in near real-time in order to support decision-making. This was accomplished by area-to-area geostatistical analysis, space-time integration, and spatial interpolation of COVID-19 positive individuals. This archive will contain data and image files from this study, which were too numerous to be included in the manuscript for this study. It also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript and other software developed (cluster, outlier, streak identification and pairing)..
We also provide a guide which provides a general description of the contents of the four sections in this archive (Documentation_for_Sections_of_Zenodo_Archive.docx). If you have any intent to utilize the data provided in Section 3, we greatly advise you to review this document as it describes the output of all geostatistical analyses performed in this study in detail.
Data Files:
Section 1. "Section_1.Tables_S1_S7.Figures_S1_S11.zip"
This section contains all additional tables and figures described in the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada". Additional tables S1 to S7 are presented in an Excel document. These 7 tables provide summary statistics of various geostatistical tests described in the study (“Section 1 – Tables S1-S4”) and lists all identified single and paired high-case cluster streaks (“Section 1 – Tables S5-S7”). This section also contains 11 additional figures referred to in the manuscript (“Section 1 – Figures S1-S11”) both individually and within a Word document which describes them.
Section 2. "Section_2.Localized_Hotspot_Lists.zip"
All localized hotspots (identified through kriging analysis) were catalogued for each municipality evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex). These files indicate the FSA in which the hotspot was identified, the date in which it was identified (utilizing 3-day case data at the postal code level), the amount of cases which occurred within the FSA within these 3 dates, the range of cases interpolated by kriging analysis (between 5-10, 10-15, 15-20, 20-25, 25-30, 30-35, 35-40, 40-50, >50), and whether or not the FSA was deemed a hotspot by Gi* relative to the rest of Ontario on any of the three dates evaluated. Please see Section 4 for map images of these localized hotspots.
Section 3. "Section_3.All-Data_Files.Kriging_GiStar_Local_and_GlobalMorans.2020_2021"
Section 3 – All output files from the geostatistical tests performed in this study are provided in this section. This includes the output from Ontario-wide FSA-level Gi* and Cluster and Outlier analyses, and PC-level Cluster and Outlier, Spatial Autocorrelation, and kriging analysis of 6 municipal regions. It also includes kriging analysis of 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan). This section also provides data files from our analyses of stratified case data (by age, gender, and at-risk condition). All coordinates presented in these data files are given in “PCS_Lambert_Conformal_Conic” format. Case values between 1-5 were masked (appear as “NA”).
Section 4. "Section_4.All_Map_Images_of_Geostat_Analyses.zip"
Sets of image files which map the results of our geostatistical analyses onto a map of Ontario or within the municipalities evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex) are provided. This includes: Kriging analysis (PC-level), Local Moran's I cluster and outlier analysis (FSA and PC-level), normal and space-time Gi* analysis, and all images for all analyses performed on stratified data (by age, gender and at-risk condition). Kriging contour maps are also included for 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan).
Software:
This Zenodo archive also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript. This geostatistical toolbox was developed by CytoGnomix Inc., London ON, Canada and is distributed freely under the terms of the GNU General Public License v3.0. It can be easily modified to accommodate other Canadian provinces and, with some additional effort, other countries.
This distribution of the Geostatistical Epidemiology Toolbox does not include postal code (PC) boundary files (which are required for some of the tools included in the toolbox). The PC boundary shapefiles used to test the toolbox were obtained from DMTI (https://www.dmtispatial.com/canmap/) through the Scholar's Geoportal at the University of Western Ontario (http://geo2.scholarsportal.info/). The distribution of these files (through sharing, sale, donation, transfer, or exchange) is strictly prohibited. However, any equivalent PC boundary shape file should suffice, provided it contains polygon boundaries representing postal code regions (see guide for more details).
Software File 1. "Software.GeostatisticalEpidemiologyToolbox.zip"
The Geostatistical Epidemiology Toolbox is a set of custom Python-based geoprocessing tools which function as any built-in tool in the ArcGIS system. This toolbox implements data preprocessing, geostatistical analysis and post-processing software developed to evaluate the distribution and progression of COVID-19 cases in Canada. The purpose of developing this toolbox is to allow external users without programming knowledge to utilize the software scripts which generated our analyses and was intended to be used to evaluate Canadian datasets. While the toolbox was developed for evaluating the distribution of COVID-19, it could be utilized for other purposes.
The toolbox was developed to evaluate statistically significant distributions of COVID-19 case data at Canadian Forward Sortation Area (FSA) and Postal Code-level in the province of Ontario utilizing geostatistical tools available through the ArcGIS system. These tools include: 1) Standard Gi* analysis (finds areas where cases are significantly spatially clustered), 2) spacetime based Gi* analysis (finds areas where cases are both spatially and temporally clustered), 3) cluster and outlier analysis (determines if high case regions are an regional outlier or part of a case cluster), 4) spatial autocorrelation (determines the cases in a region are clustered overall) and, 5) Empirical Bayesian Kriging analysis (creates contour maps which define the interpolation of COVID-19 cases in measured and unmeasured areas). Post-processing tools are included that import these all of the preceding results into the ArcGIS system and automatically generate PNG images.
This archive also includes a guide ("UserManual_GeostatisticalEpidemiologyToolbox_CytoGnomix.pdf") which describes in detail how to set up the toolbox, how to format input case data, and how to use each tool (describing both the relevant input parameters and the structure of the resultant output files).
Software File 2: “Software.Additional_Programs_for_Cluster_Outlier_Streak_Idendification_and_Pairing.zip"
In the manuscript associated with this archive, Perl scripts were utilized to evaluate postal code-level Cluster and Outlier analysis to identify significantly, highly clustered postal codes over consecutive periods (i.e., high-case cluster “streaks”). The identified streaks are then paired to those in close proximity, based on the neighbors of each postal code from PC centroid data ("paired streaks"). Multinomial logistic regression models were then derived in the R programming language to measure the correlation between the number of cases reported in each paired streak, the interval of time separating each streak, and the physical distance between the two postal codes. Here, we provide the 3 Perl scripts and the R markdown file which perform these tasks:
“Ontario_City_Closest_Postal_Code_Identification.pl”
Using an input file with postal code coordinates (by centroid), this program identifies the nearest neighbors to all postal codes for a given municipal region (the name of this region is entered on the command line). Postal code centroids were calculated in ArcGIS using the “Calculate Geometry” function against DMTI postal code boundary files (not provided). Input from other sources could be used, however, as long as the input includes a list of coordinates with a unique label associated with a particular municipality.
The output of this program (for the same municipal region being evaluated) is required for the following two Perl scripts:
“Local_Morans_Analysis.Recurrent_Clustered_PC_Identifier.pl”
This program uses the output of postal code-level Cluster and Outlier analysis for a municipality (these files are available in a second Zenodo archive: doi.org/10.5281/zenodo.5585812) and the output from “Ontario_City_Closest_Postal_Code_Identification.pl” (for the same municipal region) as input to identify high-case clustered postal codes that occur consecutively over a course of several dates (referred to as high-case cluster “streaks”). The script allows for a single day in which the PC was either not clustered or did not meet the minimum case count threshold of ≥ 6 cases within the 3-day sliding window (i.e. if
The Ontario Parcel is commercially licensed data with restricted usage.The parcels are managed by the Municipal Property Assessment Corporation (assessment), Teranet Enterprises Inc. (ownership), and the Ontario Government (Crown lands). The Ontario Parcel dataset is a source of assessment, ownership and Crown parcel mapping that can be used for assessment, taxation, land title/registration, as well as land use management and business planning.The Ontario Parcel (OP) consists of three data classes in geodatabase format and supporting information in CAD format:Assessment ParcelOwnership ParcelCrown ParcelOntario Parcel - Supporting Information (CAD format).See Ontario Parcel Guide (coming soon) for a comparison of the products. Public viewing of the standard Ontario Parcel - Assessment Parcel is available through the following web applications:Make a Topographic MapMake a Map: Natural Heritage AreasAgricultural Information Atlas (AgMaps).Licence EligibilityThe Ontario Parcel licensed through LIO is for non-commercial use. To receive data from Land Information Ontario (LIO), the organization must be eligible and sign an Ontario Parcel licensing agreement (MNRF General List User Licence Agreement).Eligible to apply: all Ontario ministries; agencies, boards and commissions; Indigenous communities; conservation authorities; non-profit organizations and others.Ontario Parcel data is available at no cost to those eligible to receive the data. Eligible organizations should contact Ontario Parcel at ontarioparcel@ontario.ca.Corporations and for-profit entities should contact:Municipal Property Assessment Corporation (MPAC)Teranet Enterprises, Inc. - Ontario ParcelTerms of UseOntario Parcel geometry represents an index of property locations, not a legal representation of property boundaries.Ontario Parcel is an indication that a boundary may be in the general area.The data should not be used for legal purposes. The data should not be used to define boundaries on the ground or be relied on to calculate areas of properties (unless for crude estimates) or depths or frontages of lots. The data is not a substitute for a legal survey and should not be used for applications that require accurate positional data.Additional DocumentationOntario Parcel FAQ (PDF)Assessment Parcel - Data Description (PDF)Assessment Parcel - Documentation (Word)Crown Parcel - Data Description (PDF)Crown Parcel - Documentation (Word)Ownership Parcel - Data Description (PDF)Ownership Parcel - Documentation (Word)StatusOn going: data is being continually updatedMaintenance and Update FrequencyFortnightly: data is updated every two weeksContactOntario Parcel, ontarioparcel@ontario.ca
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Often these parcels were surveyed before township surveys in their area. They may also be supplemental to them (as is the case with some Cadastral Islands). Sometimes these were laid out after a township survey was done, so some may be part of a geographic township. Cadastral Location includes the following: GTP Block - Timber block used by the Grand Trunk Pacific Railway for feeding steam engines, building bridges, and for supplying railway ties. Mining Location - A parcel of land whose surveyed boundaries were laid out during the late nineteenth century for the Crown sale of land for mining purposes to groups or individuals. Cadastral Island - Island delineated on survey plans. It may or may not be part of a geographic township. Other Location - A parcel of land whose surveyed boundaries were laid out during the late nineteenth century for the Crown sale of land for various agricultural or farming purposes to groups or individuals. These locations are mainly found in Northern Ontario and also exist in the un-surveyed territories.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Ontario Point Cloud (Lidar-Derived) consists of points containing elevation and intensity information derived from returns collected by an airborne topographic lidar sensor. The point cloud is structured into non-overlapping 1 km by 1 km tiles in LAZ format. The following classification codes are applied to the data: * unclassified * ground * water * high noise * low noise This dataset is a compilation of lidar data from multiple acquisition projects, so specifications, parameters, accuracy and sensors may vary by project. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. Related data: Raster derivatives have been created from the point clouds. These products may meet your needs and are available for direct download. For a representation of bare earth, see the Ontario Digital Terrain Model (Lidar-Derived). For a model representing all surface features, see the Ontario Digital Surface Model (Lidar-Derived).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate that shows two maps. The first map shows the density of population per square mile for every township in the Maritime Provinces and Quebec, circa 1911. The second map shows the density of population per square mile for every township in Quebec and Ontario, circa 1911. Communities with a population greater than 5000 people are shown as proportional dots on the map. In addition, major railway systems displayed.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
This is a listing of approved landfills in Ontario. Here you will find basic information on Ontario’s landfills including:
This dataset replaces two datasets (large landfills and small landfills) which were last updated in 2014 and contain out of date information.
**Note the size and capacity of landfills are not available at this time but may be made available in future updates to this data. More detailed information may be obtained by contacting the local MECP district office using the link here.
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
Contains 2 datasets: