This dataset is comprised of locations and current information for all schools for Kindergarten to Grade 12 in British Columbia. Indicators are included for schools that offer French programs including: Core French, Early French Immersion, Late French Immersion and Francophone Program.

Landscape hazard maps were completed as part of a community hazards mapping program coordinated by the Northern Climate ExChange (Yukon Research Centre, Yukon College). Potential landscape hazards were assessed under changing future conditions by incorporating a variety of data sets, including surficial geology, topography (slope and aspect), permafrost distribution, site-specific permafrost data (e.g. ground penetrating radar, electrical resistivity tomography and borehole data), analyses of past hydrological and climatological trends, and future climate projections. The landscape hazard map identifies existing and potential geological hazards such as landslides, permafrost stability and flooding. The hazard map is presented in stoplight colours to provide an intuitive tool for community decision makers aiming to incorporate an adaptation planning framework into existing land use management practices. Detailed descriptions of data inputs and hazard analysis methodology are presented in an accompanying report (available for download from [https://data.geology.gov.yk.ca/Reference/68409](https://data.geology.gov.yk.ca/Reference/68409) ). An accompanying surficial geological map also describes detailed landscape characteristics such as surface landscape features, sediment texture, genetic material, surface expression and geomorphological processes (available for download from [https://data.geology.gov.yk.ca/Reference/68409](https://data.geology.gov.yk.ca/Reference/68409) ).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 Lands Officer Districts dataset is comprised of all the polygons that represent the Forestry and Parks Lands Officer Districts within the Province of Alberta.

A federal electoral district is an area represented by a member of the House of Commons. The Federal Electoral Districts (FED) dataset is a digital representation of the 338 electoral districts proclaimed by the Representation Order of 2013. This dataset is an update of the 2013 Federal Electoral Districts (FED) 2013.

Electoral division of the 2017 election.**Collection context** Creation of districts in collaboration with the legal services and the electoral data of the Chief Electoral Officer (DGE). Balancing of districts according to anthropogenic constraints and number of voters.**Collection method** Computer-aided mapping.**Attributes*** `ID_SEC_DIS` (`long`): Identifier* `NAME_DISTRI` (`varchar`): District name* `NO` (`long`): District number* `AREA` (`varchar`): Area* `ADVISORY_NAME` (`varchar`): Name of the advisor* `SOURCE` (`varchar`): Source* `DATE_CREAT` (`date`): Creation date* `DATE_MODIF` (`date`): Date of modification* `USER_MODIF` (`varchar`): Modified byFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Ministry of Transportation District Boundary is an exclusive area within a region that the Ministry organizational unit is responsible for. Each Ministry District is partitioned into one or more non-overlapping Contract Areas that cover the entire Ministry District

The purpose of this feature layer is to provide the 1997 overland flooding boundary in the Red River Valley.This dataset shows the extent of peak overland flooding in the Red River Valley in 1997 . Data is based on RADARSAT – 1 satellite imagery. During processing, the raw data set was resampled to 12.5 meter pixel resolution, then classified using PCI Geomatica software which is a specialized software designed to manipulate space born imagery. The final output depicting the flooding boundary is available as a TIFF or Shapefile. Launched in November 1995, RADARSAT-1 was a Canadian-led project which provided useful information to both commercial and scientific users in such fields as disaster management, agriculture, cartography, hydrology, forestry, oceanography, ice studies and coastal monitoring. Equipped with a powerful synthetic aperture radar (SAR) instrument, it acquired images of the Earth day or night, in all weather and through cloud cover, smoke and haze. As of March 2013, the satellite was declared non-operational and is no longer collecting data. Many applications were developed to take advantage of RADARSAT-1 capacity for detecting the presence of water. These included monitoring flooding and the build-up of river ice, and mapping the melting of snow-covered areas. When used for flood monitoring, RADARSAT-1 data helped assess the impact of flooding, predicted the extent and duration of floodwaters, analyzed the environmental impact of water diversion projects, and developed flood mitigation measures. Fields Included:FID : Internal feature numberNAME : Flooded area nameAREA_SQKM : Size of flooded area

This data shows anthropogenic polyline disturbance features. Features were digitized using high resolution satellite imagery and orthophotos. Features from the National Road Network (NRN) and the National Railway Network (NRWN) were adapted and included. 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 featureWIDTH_M*Double Width of feature in metersWIDTH_CLASS**Text (5)HIGH, MED, LOWWidth of feature by classificationSCALE_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 imagery\*WIDTH_M: Linear features must be attributed with a width measurement. The width of the feature can be estimated in meters, rounded to the nearest whole number.\*\*WIDTH_CLASS: This field employs a classification scheme used by previous contractors. This classification scheme was discussed and agreed upon by Mammoth Mapping and the Project Manager in 2011-2013. The width values are the following.Table 2. Width classification breakdown.WIDTH_CLASSAnticipated Value Range (meters)LOW<4MED4-8HIGH>8Table 3. A list of disturbance feature types and their descriptions.TYPE_INDUSTRYTYPE_DISTURBANCEDESCRIPTIONMiningSurvey / CutlineA linear cleared area through undeveloped land, used for line-of-sight surveying; impossible to distinguish whether associated with quartz or placer mining (overlapping or unclear claims information)Survey / Cutline - PlacerA linear cleared area through undeveloped land, used for line-of-sight surveying; associated with placer mining (identified using claims information and/or other indicators)Survey / Cutline - QuartzA linear cleared area through undeveloped land, used for line-of-sight surveying; associated with quartz mining (identified using claims information and/or other indicators)TrenchA long, narrow excavation dug to expose vein or ore structureUnknownUnknown linear mining disturbanceOil and GasPipelineVisible pipeline or pipeline Right-of-Way (above- or below-ground)Seismic LineSeismic linesRuralDrivewayA driveway in a rural areaFenceA fence in a rural areaTransportationAccess AssumedA linear feature that is assumed to be an access road, but could also be a trailAccess RoadA road or narrow passage whose primary function is to provide access for resource extraction (i.e. mining, forestry) and may also have served in providing public access to the backcountry.Arterial RoadA major thoroughfare with medium to large traffic capacityLocal RoadA low-speed thoroughfare, provides access to front of properties, including those with potential public restrictions such as trailer parks, First Nations land, private estate, seasonal residences, gravel pits (NRN definition for Local Street/Local Strata/Local Unknown). Shows signs of regular use.Right of WayFor Road Rights as attributed in the land parcels ancillary dataTrailPath or track (typically <1.5 m wide) used for walking, cycling, ORV, or other backcountry activities. (Note: trails used for mining activities are Access Roads.)Unpaved RoadDirt or gravel road (typically >1.5 m wide) that does not necessarily access remote resourcesUnknownRight of WayA right of way with unknown industry typeSurvey / CutlineA linear cleared area through undeveloped land, used for line-of-sight surveying. A cutline may not always be associated with mineral exploration, therefore, Type: Unknown was used to differentiate all cutlines that were outside of mineral exploration.UnknownUnclassified, or unable to identify type based on imagery, but suspected to be anthropogenicUtilityElectric Utility CorridorCorridor usually running parallel to highway, where transmission lines or other utilities are visibleUnknownUnknown linear feature assumed to be a utility corridor; ancillary data is unclear.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/en/maps) data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)       

Polygonal layer of electoral districts for the 2025 election.New balancing of voters increases the number of districts from 11 to 10 for the 2025 election.**Collection context** Review committee to balance the districts according to the data of the Chief Electoral Officer.**Collection method** Analysis of voters by address using cartographic analysis software.Update by computer-aided mapping.**Attributes*** `ID_SEC_DISTRICT_ELEC` (`integer`): Identifier* `DISTRICT_NAME` (`varchar`): District name* `NO` (`integer`): Number* `AREA` (`varchar`): Area* `ADVISOR_NAME` (`varchar`): Recommended* `SOURCE` (`varchar`): Source* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified byFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Level curves with an equidistance of 1 m derived from a lidar survey conducted in 2024.attributes:ID - Unique IDSubtype - Master (1) or secondary (2) level curve SCORE - Elevation value (m) The High Resolution Digital Elevation Model (m) product The High Resolution Digital Elevation Model (HRDM) product is available on the Open Government website.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**