Contains 2 datasets: * lower and single tier municipalities * upper tier municipalities and districts.

This dataset details the Municipal boundaries for the Region of Niagara. Modifications have been made to the Boundary file (Q4 2017) to reflect legal descriptions as contained in the Municipal Act as well as changes to the shoreline in the City of Port Colborne. The dataset extent corresponds to the Niagara Region. Attributes were updated April 2018 to include 2016 Statistics Canada census and 2014 number of electors. The spatial data was updated Q1 2012 and the table has been revised to include results from the 2010 election and 2011 Statistics Canada Census.

Geographic Information System (GIS) data with the following mapping layers from the Greenbelt Plan:

• outer boundaries
• protected countryside and urban river valley designations
• specialty crop areas (Niagara tender fruit, grape area and Holland Marsh)
• settlement areas (towns, villages and hamlets)
• river valley connections.

The data also contains associated policy designation mapping.

General information on the location of towns and villages (settlement areas) in the countryside areas protected by Greenbelt plan. For precise boundaries and locations of settlement areas, the appropriate municipality should be consulted.

Additional Documentation

Greenbelt Towns Villages - Description (Word)

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency

As needed: Data is updated as deemed necessary

Contact

John Taylor, Senior Planner, john.m.taylor@ontario.ca

The map title is Ontario. Tactile map scale. 2.1 centimetres = 200 kilometres North arrow pointing to the top of the page. Borders of the province of Ontario, shown as dashed and solid lines. The Great Lakes and part of Hudson Bay, shown with a wavy symbol to indicate water. A circle and the city name to show the location of Thunder Bay and Windsor. A filled star and the abbreviation "TO" to show the location of Toronto. An unfilled star and the city name to show the location of Ottawa. Text labels for Hudson Bay, James Bay, Lake Superior, Lake Michigan, Lake Huron, Lake Erie, and the abbreviation LO to indicate Lake Ontario. The word lake is abbreviated as L. The abbreviation "MB" to indicate the province of Manitoba. The abbreviation "QC" to indicate the province of Quebec. The abbreviation "USA" to indicate the neighbouring country, the United States of America. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

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.

In Ontario, municipalities are categorized into three types based on their government structure: upper-tier, lower-tier, and single-tier municipalities. Waterloo region is a two-tier municipality.An upper-tier municipality operates within a two-tier government structure.It provides services to multiple lower-tier municipalities within its geographical area.A lower-tier municipality is part of a two-tier structure.It receives services from an upper-tier municipality and may include cities, towns, or smaller communities.Upper-Tier Municipality: The Region of WaterlooLower Tier Municipalities: Cambridge, Kitchener, and Waterloo

The map title is Toronto-Central. Tactile map scale. 2.0 centimetres = 250 metres North arrow pointing to the north. Toronto is located on the north shore of Lake Ontario. A portion of Toronto Harbour is shown at the lower right and symbolized with a wavy symbol to indicate water. Railway lines represented by a line with cross hashes are shown leading to Union Station. The points of interest in downtown Toronto are labelled with type and Braille expanded in the PDF file. Main streets are labelled with type and Braille expanded in the PDF file. Secondary streets are not labelled. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

The Source Protection Information Atlas enables anyone to determine if an address is within a Source Protection Vulnerable Area. The map displays over 20 layers of Source Protection data for Ontario. The map uses a ESRI_GEOCORTEX API (Application Programming Interface). There are 4 vulnerable area types that surround municipal water supplies: Wellhead Protection Areas, Intake Protection Zones, Significant Groundwater Recharge Areas and Highly Vulnerable Aquifers. For details on the assessment reports and plans that contain definitions of these zones please click on one of these links. For access to the raw data contact the Conservation Authority for the jurisdiction you are interested in.

Additional Documentation

Source Protection Plans

WHPA fact sheet

IPZ fact sheet

HVA fact sheet

The layers displayed on the map are:

Source Protection Area (SPA) area boundaries Municipal Boundaries (Upper and Lower Tier) Lots and Concession Boundaries Intake Protection Zones (IPZ 1, 2 and 3) Event Based Areas and related Event Type Surface Water Vulnerability Scores (range of 0.1 to 10) Wellhead Protection Areas (A, B, C, D, E (GUDI)) Groundwater Vulnerability Scores (2,4,6,8,10) WHPA E (GUDI) vulnerability scores Issue Contributing Areas and their related contaminant (issue) Significant Groundwater Recharge Areas (SGRA) and scores (2,4 6) Highly Vulnerable Aquifers (HVA) Niagara Escarpment Development Control Area Oak Ridges Moraine Plan Boundary Satellite Imagery ESRI – Topographic/road Map

Under the source protection program, 19 source protection committees worked with conservation authorities and municipalities across Ontario to assess the vulnerability of sources of municipal drinking water. These assessments were documented in 38 local assessment reports that were approved by the ministry. The data collected from these reports form the foundation for the Source Water Protection Mapping Tool.

This interactive map allows you to search for a location in Ontario and determine if it is in a Source Protection vulnerable area. The map will show the location information, vulnerable zone type and score, as well as provide link(s) to local source protection plans where you can find the policies associated with the search location.

Searches can be performed by street address, geographic coordinates or several other search options listed in the help. Confirm the location by using the satellite imagery. Please note that searches by geographic coordinates (Lat. and Long) will return the most accurate results. Searches performed with a street address, postal code, municipality, lot, concession or township may require you to further refine the location by moving the pin to the accurate location based on your knowledge of the site. Please refer to the help (Primary Navigation Pane) for tips on searching, and the proper syntax of your searches.

Questions? If you have any questions on how to use the map, or are unable to find a location, contact the Source Protection Program by email at source.protection@ontario.ca.

For more information about the Source Protection program see our web site at Source Protection.

For additional information about your local source protection plan contact your Conservation Authority: Source Protection Plans and Resources.

Status

On going: Data is continually being updated

Maintenance and Update Frequency

Not stated

Contact

Derek Hatfield, Information Management Lead/Coordinator, Conservation Source Protection Branch, Ministry of the Environment, Conservation, and Parks, derek.hatfield@ontario.ca

Road map of York County published by the Ontario Department of Public Highways in 1918. Map labels most cities and small villages in York County and uses red lines to denote country roads that have been improved/paved over.

The map title is Manitoba. Tactile map scale. 1.8 centimetres = 100 kilometres North arrow pointing to the top of the page. Borders of the province of Manitoba, shown as dashed and solid lines. Lake Winnipegosis, Lake Winnipeg and part of Hudson Bay, shown with a wavy symbol to indicate water. A circle and the city name to show the location of Churchill and Brandon. A filled star and the city name Winnipeg to show the location of Winnipeg. Text labels for Hudson Bay, Nelson River, Lake Winnipeg, Red River and the abbreviation LW to indicate Lake Winnipegosis. The word lake is abbreviated as L and the word River is abbreviated to R. The abbreviation "SK" to indicate the province of Saskatchewan. The abbreviation "ON" to indicate the province of Ontario. The abbreviation "NU" to indicate the Territory of Nunavut. The abbreviation "NT" to indicate the Northwest Territories. The abbreviation "USA" to indicate the neighbouring country, the United States of America. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

Point Feature containing records of water valves in the City of Barrie. Relevant fields include Valve Type and Valve Size.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. With a growing population of 143,000 the City of Barrie is the 34thlargest city in Canada. Visit barrie.ca for more information or contact Service Barrie at 705-726-4242 or ServiceBarrie@barrie.ca

The current Official Plan for the City of Kingston was approved by the Minister of Municipal Affairs on January 27, 2010. The Planning Act requires that municipalities in Ontario adopt an Official Plan that is consistent with the Provincial Policy Statement, 2005. The Official Plan sets out how land is to be used and iIt is intended to guide development in Kingston until 2026, but will be reviewed every five years in accordance with the requirements of the Planning Act.How to use the map:Included in the map are land use designations which determine where land uses will be built; protects our natural environment; and directs the construction of new services such as sewers and roads. You can search for your land use by navigating to a property and noting the land use designation code. Once you have your land use designation (i.e. Residential) consult the City of Kingston Official Plan text to determine what policies apply: https://www.cityofkingston.ca/documents/10180/541790/Official+Plan/17793cad-90db-4651-8092-16c587600001For more information, please contact the Planning & Development Department located at 1211 John Counter Boulevard, Phone: 613-546-4291.Note: The map provided is an unofficial version known as an office consolidation. For accurate reference, the original planning documents and amendments must be consulted. In any situation where the printed official map or by-law document differs from the electronic version contained in this website, the official printed publications take precedence.

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

Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that shows two maps. The maps show the density of population per square mile for every township the Maritime Provinces, Quebec and Ontario, circa 1901. Cities and towns of 5000 inhabitants or more are shown as black dots. The size of the circle is proportionate to the population. The map uses eight classes, seven of which are shades of brown, more densely populated portions are shown in the darker tints. Numbers make it clear which class is being shown in any one township.

This dataset is often used by users without access to the Provincial Forest Resource Inventory data, which contains information like municipalities and non-profit groups not affiliated with monitoring or maintaining the Forest Resource Inventory. Additional Documentation Wooded Area - Data Description (PDF) Wooded Area - Documentation (Word)

Status On going: data is being continually updated Maintenance and Update Frequency Irregular: data is updated in intervals that are uneven in duration Contact Ken Smith, ken.smith@ontario.ca

The map title is Canada. Tactile map scale. 2.8 centimetres = 500 kilometres North arrow pointing to the top of the page. Provincial and Political borders, shown as dashed and solid lines. The Oceans and Lakes, shown with a wavy symbol to indicate water. Labels for Yukon Territory abbreviated to YT. Northwest Territories abbreviated NT. Nunavut abbreviated to NU. British Columbia abbreviated to BC. Saskatchewan abbreviated to SK. Alberta abbreviated to AB. Manitoba abbreviated to MB. Ontario abbreviated to ON. Quebec abbreviated to QC. Newfoundland and Labrador abbreviated to NF. Prince Edward Island abbreviated to PE. Nova Scotia abbreviated to NS. New Brunswick abbreviated to NB. Greenland United States of America abbreviated to USA. Alaska abbreviated to AK. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

A local roads area (LRA) is a geographic area without municipal organization. In these areas, land owners organize and form a local roads board. The local roads board makes recommendations on the boundaries of the local roads area and which local roads should be maintained. The authority for the establishment of an LRA is the Local Roads Boards Act R.S.O. 1990 c. L.27. Local Roads Area (LRA) Boundaries: This dataset shows the Locals Road Area (LRA) boundaries established under the Local Roads Boards Act R.S.O. 1990 c. L.27. in the province of Ontario. Local Roads Area (LRA) Local Roads: This dataset shows the local roads maintained by local roads boards in established local roads areas (LRA).

Status

On going: Data is being continually updated

Maintenance and Update Frequency

Unknown: Frequency of maintenance of the data is not known

Contact

Nedim Oren, GIS Coordinator, Northeastern Region (North Bay), Nedim.Oren@ontario.ca

This table contains 1392 series, with data for years 1971 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (87 items: Abbotsford - Mission (census metropolitan area), British Columbia; Baie-Comeau (census agglomeration), Quebec; Barrie (census metropolitan area), Ontario; Bathurst (census agglomeration), New Brunswick; ...); Area (2 items: Census metropolitan area/census agglomeration; Census metropolitan area-ecosystem/census agglomeration-ecosystem); Land cover and land use (8 items: Total land area; Built-up area, settled; Built-up area, roads; Arable; ...).

This web mapping application gives estimates of the electricity that can be generated by grid-connected photovoltaic systems without batteries (in kWh/kWp) and of the mean daily global insolation (in MJ/m2 and in kWh/m2) for any location in Canada on a 60 arc seconds ~2 km grid. They are presented for each month and for the entire year, for six different PV array orientations: a sun-tracking orientation and five fixed South-facing orientations with latitude, vertical (90°), horizontal (0°) and latitude ± 15° tilts. Data can also be obtained directly for individual municipalities from a list of over 3500 municipalities or downloaded for all municipalities at once. These maps and datasets were developed by the Canadian Forest Service (Great Lakes Forestry Centre) in collaboration with the CanmetENERGY Photovoltaic systems group and the Federal Geospatial Platform. Insolation data were provided by Environment and Climate Change Canada. Web map application developed by Federal Geospatial Platform, 2020. References: Pelland S., McKenney D. W., Poissant Y., Morris R., Lawrence K., Campbell K. and Papadopol P., 2006. The Development of Photovoltaic Resource Maps for Canada, In Proceedings of the Annual Conference of the Solar Energy Society of Canada (SESCI) 2006. McKenney D. W., Pelland S., Poissant Y., Morris R., Hutchinson M, Papadopol P., Lawrence K. and Campbell K., 2008. Spatial insolation models for photovoltaic energy in Canada, Solar Energy 82, pp. 1049–1061.