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The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of smoke stacks in the City of London, Ontario.

Note: Formerly part of the London Structures (Lines) / London Building Outlines dataset.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of parking lot centroids in the City of London, Ontario.

Note: Previous editions of much of the information contained in this dataset can be found in the London Paved Parking Lot Centroids, London Unpaved Parking Lot Centroids and London Unknown Parking Lot Centroids datasets.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of railways in the City of London, Ontario.

Note: Previous editions of the information contained in this dataset can be found in the London Rail Lines, London Abandoned Rail Lines and London Rail Segments datasets.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of spot height text for the City of London, Ontario.

Note:This dataset was discontinued as of 2016.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of silos in the City of London, Ontario.

Note: Formerly part of the London Structures (Lines) / London Building Outlines dataset.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of driveways in the City of London, Ontario.

Note: Formerly part of the London Parking Lots and Access Ways dataset.

The City of London digital mapping vector data contains very detailed topographic and planning information clipped to the City of London municipal boundary based on a scale of 1:2,000.

This data set contains the geographic location of parking lot edges in the City of London, Ontario.

Note: Previous editions of the information contained in this dataset can be found in the London Parking Lots and Access Ways and London Parking Lot Segments dataset.

This product contains restored 1971 census enumeration area (EA) boundaries for Canada's largest cities. The areas covered by the restored EA polygons account for 61.8% Canada’s total population in 1971.

EAs are the smallest geographical unit for the release of 1971 census statistics. Digitized 1971 EA boundaries are available for all 33 census metropolitan areas (CMAs) defined by the 2011 Census of Population.

The restored EA boundaries also include 1971 population and dwelling statistics.

This data set reconstructs the census compilation and dissemination geography of the 1871 Census of the Canadas, and includes the 1701 census sub-districts (CSD) of Ontario, Quebec, New Brunswick, and Nova Scotia.

The database includes records for each of the more than 45,000 industrial establishments counted in the first Census of Canada of April 1871. For each establishment, there are up to 125 variables.

This data set reconstructs the census compilation and dissemination geography of the 1871 Census of the Canadas, and includes the 206 census districts (CD) of Ontario, Quebec, New Brunswick, and Nova Scotia.

The database includes records for each of the more than 45,000 industrial establishments counted in the first Census of Canada of April 1871. For each establishment, there are up to 125 variables.

Note: There is a second version of the 1871 census districts available in the GeoPortal, under the same title. These datasets have different publishers/producers and spatial references. In addition, the data contained in this dataset has been significantly revised.

This image service (FRI 2008 Boundary 17 TIFF) crosses 3 Forest Management Units (FMUs) within the FRI Status index file:

Magpie Forest, Martel Forest, and Algoma Forest.

The Forest Resource Inventory (FRI) is an extensive survey of the forest resources of Ontario. It was originally designed in 1946 to locate merchantable timber species for supplying mills.

The FRI was designed as a large-scale survey that would allow general characterization of the forest in terms of species, forest conditions and regeneration. Traditionally, the FRI has been based on aerial photo interpretation, as well as some field surveys.

This imagery will initially serve as a topographic reference base for any new output mapping and will serve as the source for subsequent base data production. The stereoscopic imagery will be used for softcopy photogrammetric application and interpretation. Imagery must be available but not restricted to multi-band colour, multi-band infrared and panchromatic.

The elevation data is required to support the generation of Digital Elevation Models (DEM) or Digital Surface Models (DSM) and subsequent derivative products in support of air photo interpretation, forest management planning and forest management operations.

This image service (FRI 2008 Boundary 16 TIFF) crosses 3 Forest Management Units (FMUs) within the FRI Status index file:

Magpie Forest, Martel Forest, and Algoma Forest.

The Forest Resource Inventory (FRI) is an extensive survey of the forest resources of Ontario. It was originally designed in 1946 to locate merchantable timber species for supplying mills.

The FRI was designed as a large-scale survey that would allow general characterization of the forest in terms of species, forest conditions and regeneration. Traditionally, the FRI has been based on aerial photo interpretation, as well as some field surveys.

This imagery will initially serve as a topographic reference base for any new output mapping and will serve as the source for subsequent base data production. The stereoscopic imagery will be used for softcopy photogrammetric application and interpretation. Imagery must be available but not restricted to multi-band colour, multi-band infrared and panchromatic.

The elevation data is required to support the generation of Digital Elevation Models (DEM) or Digital Surface Models (DSM) and subsequent derivative products in support of air photo interpretation, forest management planning and forest management operations.

This table indicates postal codes where a building or discrete area has multiple postal codes. The postal code associated servicing the greatest number of addresses (i.e., points of call) is represented in the LDU layer. The non-dominant postal codes are retained in this table and are not represented in the Local Delivery Unit (LDU) layer.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This table provides a link between postal codes and census boundaries.

It contains explicit and unilateral relationships of the 6-digit postal code point geometry to various levels of census geography as delineated in the 1996, 2001, 2006 and 2011 census periods. Using the Enhanced Postal Code point Unique Identifier allows for linkage of postal codes to census geography at the census tract and dissemination area levels, for current and historical census geography delineations.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

Forward Sortation Areas (FSA) represent specific geographic service areas pertaining to the first three characters of a postal code.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

The Local Delivery Unit (LDU) boundaries represent the geographic areas pertaining to 6 digit postal codes.

This boundary file is generated from point addresses. The LDU boundaries allow for a many to many relationship. For example, one postal code may be represented by more than one LDU boundary and one LDU boundary may be associated with multiple postal codes.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

Enhanced Postal Code points are a precision-based point file representing over 1 million postal codes across Canada. Each point includes FSA and LDU classification and additional information like associated municipality, reference dates, and fields for the number and types of buildings associated to each point.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

Delivery mode data provides users with the number of houses, apartments, farms, and businesses by delivery mode for mailers wishing to determine their volume and distribution requirements for unaddressed mail for both urban and rural delivery installations.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

The Northwest Ontario Orthophotography (NWOOP) 2017 is an aerially acquired imagery data set. This product is 4 band RGBNiR orthophotography with a pixel resolution of 20 centimetres and is accurate to 50 centimetres on the ground at 90%. The dataset covers approximately 22,700 kilometres squared in northwest Ontario.

The imagery was acquired in the spring of 2017 under the best conditions possible to achieve cloud free, snow free, ice free, smoke free, and leaf off captures. These conditions together were best represented in Northwestern Ontario during May 7 to May 19 during which time the imagery was acquired.

The imagery was acquired by aerial photography and was later orthorectified using an elevation dataset generated through image correlation.

The North West Ontario Orthophotography Project (NWOOP) 2017 Digital Elevation Model (DEM) is a 2m raster elevation product that provides a generalized representation of both surface and ground features based on image correlation using aerial photography.

The product was generated by an imagery contractor for the purpose of ortho-rectifying orthophotography collected across areas of North West Ontario in the spring of 2017.

The DEM data is available in the form of packaged 1km x 1km non-overlapping tiles.

Index grid for Vegetation layers.

This layer depicts the location and status (i.e. new or modified) or changes to the RoadsLine layer made during the last quarter.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This layer indicates the point locations of industrial complexes for importing or exporting liquefied natural gas.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This layer indicates the point locations of natural gas processing plants, facilities designed to recover natural gas liquids from a stream of natural gas.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This layer indicates all the rail lines in Canada, other than those forming part of an urban transit system. This includes, but is not limited to, main rail lines, sidetracks and abandoned rail lines as well as structures like rail tunnels and bridges.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This layer indicates all the rail lines in Canada that are part of an urban transit system. This includes structures like rail tunnels and bridges.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

Note: Prior to 2017, this dataset was included in the RailAndTransitLine layer.

This layer indicates the point locations of refineries, any facility that separates and converts crudeoil or other feedstock into liquid petroleum products.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This layer depicts the location and status (i.e. new or modified) or changes to the AddressPoints layer made during the last quarter.

Additional tables and supporting documentation are available in the Data Dictionary and User Manual.

This City of Mississauga aerial photography covers the area of Mississauga. These photos are in colour, and were taken in April of 2008 by the First Base Solutions Inc at a scale of 0.15m and a flying height of 2100m.

The first aerial surveys of Mississauga were undertaken in 1944. Since then, the city has produced aerial photography every five to ten years until 2002, when it became annual.

This data set contains the lower-resolution JPG version of the imagery for view, and a high-resolution ECW version for direct download. It is recommended to use the low-res image considering the size of the high-res version.

This City of Mississauga aerial photography covers the area of Mississauga. These photos are in colour, and were taken in March of 2005 by First Base Solutions Inc at a scale of 1:10,000 and a flying height of 600m.

The first aerial surveys of Mississauga were undertaken in 1944. Since then, the city has produced aerial photography every five to ten years until 2002, when it became annual.

This data set contains the lower-resolution JPG version of the imagery for view, and a high-resolution ECW version for direct download. It is recommended to use the low-res image considering the size of the high-res version.