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We have found 48 datasets for the keyword " autochtone". You can continue exploring the search results in the list below.
Datasets: 106,102
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48 Datasets, Page 1 of 5
Percentage of population that self-identified as Aboriginal by census subdivision, 2016
This service shows the percentage of the population who reported an Aboriginal identity by census subdivision. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Aboriginal identity refers to whether the person identified with the Aboriginal peoples of Canada. This includes those who are First Nations (North American Indian), Métis or Inuk (Inuit) and/or those who are Registered or Treaty Indians (that is, registered under the Indian Act of Canada) and/or those who have membership in a First Nation or Indian band. Aboriginal peoples of Canada are defined in the Constitution Act, 1982, section 35 (2) as including the Indian, Inuit and Métis peoples of Canada.Users should be aware that the estimates associated with this variable are more affected than most by the incomplete enumeration of certain Indian reserves and Indian settlements in the 2016 Census of Population.For additional information refer to the 2016 Census Dictionary for 'Aboriginal identity'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census subdivision” web service, accessible in the data resources section below.
Percentage of population that self-identified as Aboriginal by census division, 2016
This service shows the percentage of the population who reported an Aboriginal identity by census division. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.Aboriginal identity refers to whether the person identified with the Aboriginal peoples of Canada. This includes those who are First Nations (North American Indian), Métis or Inuk (Inuit) and/or those who are Registered or Treaty Indians (that is, registered under the Indian Act of Canada) and/or those who have membership in a First Nation or Indian band. Aboriginal peoples of Canada are defined in the Constitution Act, 1982, section 35 (2) as including the Indian, Inuit and Métis peoples of Canada.Users should be aware that the estimates associated with this variable are more affected than most by the incomplete enumeration of certain Indian reserves and Indian settlements in the 2016 Census of Population.For additional information refer to the 2016 Census Dictionary for 'Aboriginal identity'.To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.
Indigenous Population of Canada (2016)
The Indigenous Populations of Canada map is derived from the CanEcumene 2.0 Geodatabase using custom tabulations of census-based population data. Indigenous communities within the level of the census sub-division (CSD) were identified using a combination of sources from census field data (see Eddy et. al. 2020 for more details). This map shows the percent of Indigenous population in CanEcumene 2.0 communities using graduated symbols, overlaid upon a population density raster. The larger the symbol, the higher the percentage of Indigenous population in that area. The darker the colour in the underlying raster, the denser is the general population. This map illustrates how the majority of Indigenous populations reside in locations outside of the denser populated areas of Canada.
Clam Beds - Coastal Resource Information Management System (CRIMS)
Distribution of clam beds in coastal Beds in British Columbia showing relative abundance (RA) and aboriginal, biological, commercial and recreational relative importance (RI) and overall RI. RI is based on project region and not on the province as a whole. and productivity. Other attributes include season dates, productivity and species. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.
Public transport - Stop
All stops in the public transport network managed by the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Road network
The entire road network of the City of Rouyn-Noranda. Only the lanesPublics with an odonym are included.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Snowmobile Areas in Parks within the Cariboo Region
Designated play areas for snowmobiles in Tweedsmuir and Itcha-Ilgachuz Provincial Parks. [__Tweedsmuir Provincial Park Master Plan__](https://bcparks.ca/planning/mgmtplns/tweedsmuir/tweeds_mp.pdf?v=1618329316506) [__Itcha Ilgachuz Provincial Park Management Plan__](https://bcparks.ca/planning/mgmtplns/itcha_il/itcha_ilgachuz_mp.pdf?v=1618329451240) [__Itcha Ilgachuz Provincial Park Winter Recreation Areas Map (PDF)__](https://bcparks.ca/planning/mgmtplns/itcha_il/rec_winmap.PDF)
Recreational Vessel Traffic Model for British Columbia
Description:Data on recreational boating are needed for marine spatial planning initiatives in British Columbia (BC). Vessel traffic data are typically obtained by analyzing automatic identification system (AIS) vessel tracking data, but recreational vessels are often omitted or underrepresented in AIS data because they are not required to carry AIS tracking devices. Transport Canada’s National Aerial Surveillance Program (NASP) conducted aerial surveys to collect information on recreational vessels along several sections of the BC coast between 2018 and 2022. Recreational vessel sightings were modeled against predictor variables (e.g., distance to shore, water depth, distance to, and density of marinas) to predict the number of recreational vessels along coastal waters of BC.The files included here are:--A Geodatabase (‘Recreational_Boating_Data_Model’), which includes: (1) recreational vessel sightings data collected by NASP in BC and used in the recreational vessel traffic model (‘Recreational_Vessels_PointData_BC’); (2) aerial survey effort (or number of aerial surveys) raster dataset (‘surveyeffort’); and (3) a vector grid dataset (2.5 km resolution) containing the predicted number of recreational vessels per cell and predictor variables (‘Recreational_Boating_Model_Results_BC).--Scripts folder which includes R Markdown file with R code to run the modelling analysis (‘Recreational_Boating_Model_R_Script’) and data used to run the code.Methods:Data on recreational vessels were collected by NASP during planned aerial surveys along pre-determined routes along the BC coast from 2018 to 2022. Data on non-AIS recreational vessels were collected using video cameras onboard the aircraft, and data on AIS recreational vessels using an AIS receiver also onboard the aircraft. Recreational boating predictors explored were: water depth, distance to shore, distance to marinas, density of marinas, latitude, and longitude. Recreational vessel traffic models were fitted using Generalized Linear Models (GLM) R packages and libraries used here include: AED (Roman Lustrik, 2021) and MASS (Venables, W. N., Ripley, 2002), pscl package (Zeileis, Kleiber, and Jackman, 2008) for zeroinfl() and hurdle() function. Final model was selected based on the Akaike’s information criterion (AIC) and the Bayes’ information criterion (BIC). An R Markdown file with code use to run this analysis is included in the data package in a folder called Script. Spatial Predictive Model: The selected model, ZINB, consist of two parts: one with a binomial process that predicts the probability of encountering a recreational vessel, and a second part that predicts the number of recreational vessels via a count model. The closer to shore and to marinas, and the higher the density of marinas, the higher the predicted number of recreational vessels. The probability of encountering recreational vessels is driven by water depth and distance to shore. For more information on methodology, consult metadata pdf available with the Open Data record.References:Serra-Sogas, N. et al. 2021. Using aerial surveys to fill gaps in AIS vessel traffic data to inform threat assessments, vessel management and planning. Marine Policy 133: 104765. https://doi.org/10.1016/j.marpol.2021.104765Data Sources:Recreational vessel sightings and survey effort: Data collected by NASP and analyzed by Norma Serra to extract vessel information and survey effort (more information on how this data was analyzed see SerraSogas et al, 2021). Bathymetry data for the whole BC coast and only waters within the Canadian EEZ was provided by DFO – Science (Selina Agbayani). The data layer was presented as a raster file of 100 meters resolution. Coastline dataset used to estimate distance to shore and to clip grid was provided by DFO – Science (Selina Agbayani), created by David Williams and Yuriko Hashimoto (DFO – Oceans). Marinas dataset was provided by DFO – Science (Selina Agbayani), created by Josie Iacarella (DFO – Science). This dataset includes large and medium size marinas and fishing lodges. The data can be downloaded from here: Floating Structures in the Pacific Northwest - Open Government Portal (https://open.canada.ca/data/en/dataset/049770ef-6cb3-44ee-afc8-5d77d6200a12)Uncertainties:Model results are based on recreational vessels sighted by NASP and their related predictor variables and not always might reflect real-world vessel distributions. Any biases caused by the opportunistic nature of the NASP surveys were minimized by using survey effort as an offset variable.
Operophtera brumata
Historical finds of Operophtera brumata
Naloxone Distributors Take Home Program
Feature point layer showing locations of distributors participating in the Naloxone Take Home Program in Manitoba.This feature point layer shows the locations of distributors participating in the Naloxone Take Home Program in Manitoba. Naloxone is a drug that temporarily reverses overdose (toxicity) caused by opioid drugs (such as fentanyl, heroin, morphine, hydromorphone). Free take-home naloxone kits are available to members of the public who are at risk of opioid overdose (toxicity), and family or friends who may witness opioid toxicity. For more information see Manitoba Health. This feature layer is used in the Naloxone Distributors Map - Take Home Program and Naloxone Finder - Take Home Program application. Fields included (Alias (Field Name): Field description) Distributor (Distributor): Business name of the distributor. Product (Product): The type of product available from the distributor. Address (Address): Street address or mailing address, if applicable, of the distributor. City (City): City or town in which the distributor is located. Postal Code (Postal_Code): Postal code for the distributor's location. Participating (Participating): Indicates participation in the Naloxone Take Home Program. Phone (Phone): Distributor's public business phone number. Provider Type (Provider_Type): Type of provider. Includes Pharmacy, Medical Clinic, Nursing Station, Public Health Unit, and Other Organization. RHA (RHA): Regional Health Authority Latitude (Latitude): Latitudinal coordinate of distributor Longitude (Longitude): Longitudinal coordinate of distributor ObjectId (ObjectId): Unique identifier
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