This dataset identifies locations of wilderness and recreation tourism activities. Activities are: fishing, biking, hiking, snowmobiling, rafting, boating, flight seeing, dog mushing, driving tour, off-road vehicle, cross country skiing, canoeing, wildlife viewing. The locations were collected through interviews. Locations and areas were indicated on paper maps and transferred to digital. This is not a complete or up to date dataset. Data was collected in 2009.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)

Trails designed for hiking.attribut:ID - Unique identifier**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Ski Resorts is a point dataset identifying the location of ski resorts in British Columbia.

The VLI identifies and delineates areas of visual sensitivity near communities and along travel corridors throughout the province. It includes information about the visual condition, characteristics and sensitivity to alteration. It also houses scenic area and established Visual Quality Objective ( VQO ) attributes.

Provincial and Municipal Dikes in ManitobaDikes have been built to prevent flooding of communities and specific areas during runoff and flood events. This layer demonstrates the location of many provincial- and municipal-owned dikes in Manitoba; Elevations have been provided where they are known, and noted as “elevation under review” where they are uncertain. 

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.

Position of address points.**Collection context** Initial source of the Qc address databases, the urban planning department, the engineering department and the DGE.Analysis and coupling of the various sources to create a comprehensive research layer for the needs of the city's internal users.Timely maintenance using the address change reports from the urban planning department and changes to the property records from the assessment department.**Collection method** Computer-aided mapping.**Attributes*** `ID_ADRCIV` (`integer`): Identifier* `NOCIVQ` (`integer`): Civic number* `NOCIV_SUFX` (`varchar`): Number suffix* `ODO_INDEX_LONG` (`varchar`): Long index odonym* `ODO_INDEX_COURT` (`varchar`): Short index odonym* `ADQNBUNITE` (`integer`): Number of Qc address units* `CODE_POST` (`varchar`): Postal code* `MAT10` (`varchar`): Number* `SOURCE` (`varchar`): Source* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified by* `DATE_ARCHIVE` (`smalldatetime`): Archive date* `ODO_LONG_COMPLETE` (`varchar`): Full long odonym* `ODO_COURT_COMPLET` (`varchar`): Full short odonym* `ODONYM` (`varchar`): Odonym* `LOC_X` (`numeric`): x* `LOC_Y` (`numeric`): yFor 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).**

This dataset is a combination of landscape unit, biogeoclimatic zone/subzone/variants and Cariboo Chilcotin Land Use Plan (CCLUP) leading group type (PineGroup or FirGroup) used to roll up seral stage assessments in the Cariboo Natural Resource Region. Refer to the **Cariboo Regional Biodiversity Conservation Strategy Update Note #2: Amalgamation of Small NDT-BEC Units in Relation to Assessment of Seral Objectives and Old Growth Management Area Planning** and **Cariboo Regional Biodiversity Conservation Strategy Update Note #3: Definition of the Fir Group and Pine Group for Purposes of Seral Stage Assessments within NDT 4 of the Cariboo-Chilcotin** (see below under "Related Links") for more information on how seral stage assessment amalgamation units are derived.

This dataset identifies locations of wilderness tourism trails. This is not a complete or up to date dataset.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)

This dataset divides Yukon into 9 tourism regions which are used to track wilderness tourism statistics. Note that the Yukon Vacation Planner divides Yukon into 8 similar tourism regions with somewhat different boundaries.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)