This dataset includes commonly used socio-economic indicators by CSD (census subdivision). The feature classes were created from geosptial boundary files and tabular data related to the 2016 Census of Canada, Statistics Canada. The topics included are: Age groups and sex, core housing needs, dwelling types, Education, labour force, immigration, Income, knowledge of languages, lone parent family, mobility, housing tenure and visible minorities. This does not constitute an endorsement by Statistics Canada of this product.

The location of visible, linear, man made features of importance pertinent to the business activities of the Government of Alberta.

Features are Administrative Land Objects that represent the spatial extents of a jurisdiction that is created and managed as a separate entity within the ICM database. Un-derived Administrative Areas include QUADs, Groups, Subdivisions, Municipalities, Block Land Transfers, Settlement Areas, Districts and Regions. Un-derived Administrative Areas also include the spatial extent of site that do not have a specific administrative boundary such as Indian settlements and national historic sites. In the LYR files for CSW, the QUADs & Groups were removed with a Query Builder. This cadastral framework provides a parcel base of properly structured vector data designed and suited for Geographical Information System (GIS) application and can be used for land management purposes. This data set is not be used for defining boundaries. Administrative decisions should be based on legal documents and legal survey plans.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection .For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Grouping can include up to a maximum of 750 quartz claims. All quartz claims must be contiguous, i.e. they must be adjoining. Any solitary quartz claims that do not share at least one boundary with the quartz claims to be grouped cannot be included in the grouping.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

IBL - Imagery, basemaps, and land cover (imageryBaseMapsEarthCover) Basemaps. For example, resources describing land cover, topographic maps, and classified and unclassified images

Background:More than 80% of the heat produced in the Earth's crust comes from granitoid rocks. When granitoid rocks form they naturally concentrate radioactive elements such as U, Th, and K, and the radiogenic decay of these elements is an exothermic reaction. The radioactive decay of these elements within a granitoid body may generate local heat anomalies and elevated geothermal gradient at relatively shallow crustal levels. In combination with other local rock properties (e.g, porosity, permeability, thermal conductivity), radiogenic heat has the potential to generate a geothermal resource. The decay of radioactive elements converts mass into radiation energy, which in turn gets converted to heat. While all naturally radioactive isotopes generate some heat, significant heat generation only occurs from the decay of 238 U ,235 U ,232 Th and 40 K. Therefore, potential heat production is governed by the concentrations of U ,Th and K in the rock. In igneous rocks, radiogenic heat production is dependent on the bulk chemistry of the rock and decreases from acidic (e.g. granite) through basic to ultra basic rock types. Therefore, granites with anomalously high concentrations of U ,Th and K are targets for calculating potential radiogenic heat production. Potential radiogenic heat production (A)from plutonic rocks can be calculated using this equation:A (\\u03BCW/m 3 )=10 -5 \\u1D29 (9.52c u +2.56c K +3.48c Th )where "c" is the concentration of radioactive elements "U" and "Th" in ppm, and "K" in %; and "\\u1D29" is the rock density. Heat production constants of the natural radio-elements U, Th, K are 9.525x10 -5 , 2.561x10 -5 and 3.477x10 -9 W/kg, respectively.Data and Methods:Geochemical data from \~1760 samples of plutonic rocks from Yukon are used to calculate potential heat production. The calculated values for radiogenic heat production (A) are plotted over the mapped distribution of Paleozoic and younger plutonic rocks and major crustal faults are also shown for reference.

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

All island polygons. Islands may overlap as there are islands within islands (e.g., a lake on an island contains an island). GNIS_NAME_1 contains the most atomic name for the island. For example, there are 3797 "Haida Gwaii" islands. If the island has not been named as part of a more specific group or with an individual name, "Haida Gwaii" is the GNIS_NAME_1 value. GNIS_NAME_2 and GNIS_NAME_3 values are null. If the island has a more specific name, "Haida Gwaii" moves to GNIS_NAME_2, and the more atomic name, such as "Moresby Island" is the GNIS_NAME_1. If the island has an individual name, belongs to a group, and is part of Haida Gwaii, the same logic of naming from most to least specific applies. For example, GNIS_NAME_1 = "George Island", GNIS_NAME_2 = "Copper Islands", GNIS_NAME_3 = "Haida Gwaii".

This data shows anthropogenic polygon disturbance features. Features were digitized using high resolution satellite imagery and orthophotos. The following data was not included in the dataset: proposed features.Table 1. A list of attributes, associated domains, and descriptions.AttributeData TypeDomainsDescriptionREF_IDText (20) Unique feature reference IDDATABASEText (20)Historic, Most Recent, RetiredSub-database to which the feature belongsTYPE_INDUSTRYText (50)Table 2.3.2Major classification of disturbance feature by industryTYPE_DISTURBANCEText (50)Table 2.3.2Sub classification of disturbance featureSCALE_CAPTUREDLong Scale at which the feature was digitizedDATA_SOURCEText (10)Imagery, GPS, OtherData source: digitized from imagery, captured by GPS, or obtained by other meansIMAGE_NAMEText (100) Filename of source imageryIMAGE_DATEDate Date that imagery was captured (YYYYMMDD)IMAGE_RESOLUTIONDouble Resolution of source imagery in metersIMAGE_SENSORText (35) Name of sensor that captured source imageryTable 2. A list of disturbance feature types and their descriptions.TYPE_INDUSTRYTYPE_DISTURBANCEDESCRIPTIONAgricultureAgricultureFarms, ranches, or other agricultural areasForestryForestryCut blocks or other forestry related activitiesMiningBuildingA building footprint or the building and the surrounding land related to mining activities.Drill PadDrill pad features related to mineral exploration activitiesFuel CacheRemote caches of fuel allowing for mineral exploration activities (will often have fuel tanks and barrels)Gravel Pit / QuarryPit or quarry for mining gravel or aggregateLaydown areaAreas used to store materials and equipment for mining operationsMiningMiscellaneous or unknown mining activitiesPlacer Mining - MinorPlacer mining area with little disturbancePlacer Mining - SignificantPlacer mining area with greater disturbanceQuartz Mining - MinorQuartz mining area with little disturbanceQuartz Mining - SignificantQuartz mining area with greater disturbanceTailing PondTailing pond associated with mining activityCampMining campOil and GasWell PadCleared area surrounding oil or gas wellRuralCampAny camp outside of mining areas, including fishing/hunting camps, ENV conservation officer cabins/camps, outfitters, etc.HomesteadRural dwelling and associated landTransportationAirstripAirport or AirstripClearingClearings that are related to transportation but could not be clearly attributed as a turn area, pullout, road cut and fill, etc.Gravel Pit / QuarryGravel pits related to transportationPullout / Turn AreaAn area associated with transportation and is intended as a vehicle pullout or turn areaRoad Cut and FillCut slopes and moved earth for road construction purposesUnknownClearingA tract of land devoid (or nearly devoid) of natural land cover and suspected to be anthropogenic in natureGravel Pit / QuarryA gravel pit with unknown related industryUnknownUnable to identify from imagery, but suspected to be anthropogenicUrbanBuildingVisible building or structureCemeteryCemeteryClearingMiscellaneous urban clearingsCul-de-sac / Turn AreaA turn area associated with transportation or road cul-de-sacDamBarrier impounding water or streamGolf CourseRecreational golfing areaIndustrialAreas that are designated for industrial uses: factories, tank farm, transportation areaInstitutionalAny institutional buildings and immediate cleared area: School, government, etc.LandfillSite used for disposal of waste materialsPondStanding body of water, created anthropogenically; includes sewage lagoons, wastewater facilities, and artificial bodies of water.Recreation AreaVisible disturbance in Urban / Rural parks and recreation areasRural ResidentialLand use in which housing predominates in an urban or community settingTowerA tall structure, possibly used for communications or forestryUrbanMiscellaneous or unknown urban features Distributed from [GeoYukon](https://yukon.ca/en/statistics-and-data/mapping/explore-map-data-using-geoyukon) by the [Government of Yukon](https://yukon.ca/) . Discover more digital map data and interactive maps from Yukon's digital [map](https://yukon.ca:443/en/maps) data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)