The “Municipal Solid Waste Biomass Inventory” dataset is a stand-alone product that provides information on the calculated amount of Municipal Solid Waste within each BIMAT grid cell that includes a population centre. Data was provided by National Research Council Canada, with estimates based on census data collected in 2016. This dataset was calculated using an area-weighted analysis between population centres across Canada, Municipal Solid Waste data and the Biomass Report Framework fishnet. It includes information for total residential municipal solid waste, total organic waste (food and yard) and total paper waste.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

This data shows spatial density of Barley cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Barley is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Barley based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

This data shows spatial density of lentil cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Lentils lentils are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Lentils lentils based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

A series of relevant spatial datasets were compiled to construct an Agricultural Potential Index model which combines multiple criteria that influence agricultural suitability.  For more information on the Agriculutural Potential Index Model, please see the metadata link.

This dataset is no longer maintained by Agriculture and Agri-Food Canada and should be considered as an archived product. For current estimates of the agricultural extent in Canada please refer to the Agricultural Ecumeme produced by Statistics Canada. https://www150.statcan.gc.ca/n1/en/catalogue/92-639-X The Agriculture Extent of Canada derived from the AVHRR (Advanced Very High Resolution Radiometer) was obtained from the GeoGratis web site (www.geogratis.ca). All polygons with an area less than 50 Km sq were eliminated by GeoGratis before we received the data. This product allows the user to see the significant areas of cropland and rangeland across Canada. The Agriculture Extent of Canada derived from the AVHRR (Advanced Very High Resolution Radiometer) was obtained from the GeoGratis web site (www.geogratis.ca). All polygons with an area less than 50 Km sq were eliminated by GeoGratis before we received the data. This product allows the user to see the significant areas of cropland and rangeland across Canada.

This data shows spatial density of Corn cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Corn is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Corn based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

The Nova Scotia Department of Fisheries and Aquaculture is the lead regulatory of aquaculture leasing and licensing. This file illustrates all the issued landbased licenses within Nova Scotia. Fisheries and Aquaculture also provides a mapping tool for this data at: http://novascotia.ca/fish/aquaculture/site-mapping-tool/

This data shows spatial density of annual crops cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which annual crops are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have annual crops based on analysis of the 2009 to 2021 AAFC annual crop inventory data.