The spatial extent of service territory boundaries for Ontario's local distribution companies (LDCs). ENERGY's data consumers require visualization of the service territory boundaries of local distribution companies (LDCs) to support policy development.

Administrative and territorial subdivisions of the City of Sherbrooke.attributs:ID - Unique identifierNumero - District numberName - Borough name - Borough name **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Delimitation of former municipalities before the merger in 1965 to form what is now the City of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

La base de données présentée ci-dessous correspond au masque agricole 1 km utilisé dans l’application du Programme d’évaluation de l’état des cultures (PEEC) de Statistique Canada. Le masque a été généré à partir des classes 110 à 199 de la classification de l’utilisation du sol de 2015 d’Agriculture Canada. La sélection a ensuite été généralisée à une résolution spatiale de 1 km. Le masque de 2015 a été utilisé pour les saisons de croissance 2015 à 2018 inclusivement.

Cette donnée correspond au masque agricole 230 m utilisé dans l’application du Programme d’évaluation de l’état des cultures (PEEC) de Statistique Canada. Le masque a été généré à partir des classes 110 à 199 de la classification de l’utilisation du sol de 2015 d’Agriculture Canada. La sélection a ensuite été généralisée à une résolution spatiale de 230 m. Le masque de 2015 a été utilisé pour les saisons de croissance 2015 à 2018 inclusivement.

The 2022 Census Subdivision Boundary File depicts the boundaries of all 5,180 census subdivisions (CSDs), which combined, cover all of Canada. It contains the unique identifier (UID), name and type, as well as the UIDs, names and types (where applicable) of selected higher geographic levels. The 2022 Census Subdivision Boundary File is portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]). The 2022 Census Subdivision Boundary File is available as a national file.

The 2022 Census Subdivision Boundary File depicts the boundaries of all 5,180 census subdivisions (CSDs), which combined, cover all of Canada. It contains the unique identifier (UID), name and type, as well as the UIDs, names and types (where applicable) of selected higher geographic levels. The 2022 Census Subdivision Boundary File is portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]). The 2022 Census Subdivision Boundary File is available as a national file.

The 2023 Road Network File depicts the digital road line coverage for Canada. It contains information such as street arc unique identifier (UID), name, type, direction and address range, as well as class. It also includes province or territory (PR) and census subdivision (CSD) information for each side of a street arc (where applicable).The Road Network File is portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]). The 2023 Road Network File is available as a national file.

GeoSuite is a tool used for data retrieval, query and tabular output. It allows users to explore the links between all standard levels of geography and to identify geographic codes, names, unique identifiers, and, where applicable, types, as well as land area and population and dwelling counts. GeoSuite includes data for the following the 2021 Census standard geographic areas: • Canada (CAN) • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (FEDs) (2013 Representation Order) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas (CMAs), census agglomerations (CAs) and census metropolitan influenced zones (MIZs) • Census tracts (CTs) • Population centres (POPCTRs) and rural areas (RAs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Place names (PNs)

The following dataset correspond to the 230 m agricultural mask from Statistics Canada’s Crop Condition Assessment Program (CCAP). The mask have been generated from the classes 110 to 199 of the 2015 Agriculture and Agri-Food Canada’s landcover classification. The selection was then generalized to a spatial resolution of 230 m. The 2015 mask was used from the 2015 to the 2018 growing seasons inclusively.