The boundaries are established from either Land Claims Final Agreement, Self Government Agreement, Memorandum of Understanding, Local Advisory Area, or from a signed document between Yukon Government and First Nation. An Order in Council is prepared and the new boundary comes into effect. Older LAP's and Community Plans were approved by YG Minister and Cabinet as a policy document. Newer plans are approved in the same manner which also include First Nation resolution by Chief and Council Some of these contain a Future Land Use Plan or Land Use Plan with area designations.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 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)

A Special Lane defines the number of special lanes that are not defined as through travel lanes, passing lanes, or truck lanes which are described in the Highway Profile dataset. It is a Linear feature

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.

Pedestrian trail network.**Collection context** Updates provided by the recreation department.**Collection method** Computer-aided mapping.**Attributes*** `ID_PIETON` (`integer`): Identifier* `Type` (`varchar`): Type* `LOCATION` (`varchar`): Location* `LABEL` (`varchar`): Label* `Coating` (`nchar`): Coating* `DATE_INSTALLE` (`smalldatetime`): Installed on* `Project` (`varchar`): Projected* `LENGTH` (`numeric`): Length* `NOTES` (`varchar`): Notes* `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).**

The spatial representation of a recreation feature. This can be either a recreation reserve, recreation site, or an interpretative forest

These lines represent routes within Motor Vehicle Prohibition Regulation Areas where motor vehicles are prohibited or restricted year round or seasonally. These lines were created as a visual representation of the Wildlife Act Motor Vehicle Prohibition Regulations. Under the Motor Vehicle Prohibition Regulation of the provincial Wildlife Act, motor vehicle use on crown land in B.C. may be prohibited or restricted. This data is a summary of the Motor Vehicle Prohibition Regulations, and is intended for general information purposes only. Where there is a discrepancy between these maps and the Regulations, the Motor Vehicle Prohibition Regulations are the final authority. Motor Vehicle Prohibitions (MVP) are put in place for a variety of reasons. MVPs can be used to: * protect habitat * reduce disturbance and displacement of wildlife * provide areas for hunters on foot, bike or horseback to hunt without motorized vehicles present * reduce hunter harvest while maintaining hunting opportunity   Motor vehicles include but are not limited to: * vehicles * ATVs/UTVs * snowmobiles * motorcycles * electric bikes   For full definitions and detailed regulations, visit the Motor Vehicle Prohibition Regulations website (available under Related Links). There are 2 types of motor vehicle restrictions under the Wildlife Act, and all types can be seasonal or year-round. 1. **Motor Vehicle Closed Area** (formerly referred to as Access Management Areas (AMAs): Prohibits the use or operation of a motor vehicle and e-bike. These prohibitions can be for all motor vehicles, or specific to ATVs/e-bikes or snowmobiles. 2. **Motor Vehicle Hunting Closed Area**: The operation of motor vehicles and e-bikes to hunt, transport wildlife, transport equipment and supplies which are intended for or in support of hunting, or transport hunters to and from the location of wildlife is prohibited. These prohibitions can apply to all motor vehicles, or be specific to ATVs/e-bikes or snowmobiles.

A Range Unit is an administrative area established to assist in the management of the range program. Typically made up of one or more pastures. Generally, one or more Range Units make up a Stock Range

The Landmark Kilometre Inventory spatial layer is used primarily by the Ministry of Transportation and Infrastructure (MOT) to represent routes against which accident data and traffic counts are collected. This method describes roads by a four number designation referred to as a segment (i.e. 0375) This spatial layer was created based on Digital Road Atlas (DRA) centerline using linear referencing

All 1:250,000 NTDB Transportation features including roads, trails, and railways.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)