Civic Facilities is a point dataset identifying local arts, culture and recreational facilities in British Columbia.

Sports and recreational facilities including: arenas, tube slides, water games, water games, iron and pebble games, game modules, skateboard modules, skating rinks, pools, multi-functional tracks, beaches, courts, dance floors, beaches, courtyards and dance floors, the archery site and the archery site and the fields for baseball, basketball, soccer, petanque, multi-functional tracks, beaches, courts and dance floors, beaches, courtyards and dance floors, the archery site and the fields for baseball, basketball, soccer, petanque, pickleball, soccer, tennis, ultimate frisbee, and volleyball. Attributs:type - Type of installationDetail - Details about the installation (e.g. number of tennis courts, configuration of soccer fields, etc.) NAME - Name of the installationSurface - Type of surfaceLighting - Installation lighting**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Correctional Facilities is a point dataset identifying correctional facilities in 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.

The City of Montreal offers a multitude of recreational, sports and cultural facilities on its territory. It lists more than 3,396 outdoor installations, including 77 pools, 95 paddling pools, 150 water games, and nearly 3,000 playgrounds and playgrounds. The Urban Sport and Outdoor Master Plan frames the inventory structure with 96 recognized classes of outdoor facilities. The content of the data allows the consultation of the number of installations by district. The data is not representative of installations located in the territory of the linked cities, which are only partially represented.__Interact with visualization data [View of Montreal's parks and sports facilities] (https://vuesurlesdonnees.montreal.ca/pub/single/?appid=8636bd4b-d2b1-48a0-a790-05331b84af2b&sheet=6bcbf9ba-d7b0-4dfb-a11d-3e075504b5e9&opt=ctxmenu,currsel).__**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The RFI identifies areas of land and water encircling a recreation feature or combination of features that support, or have the potential to support, one or more recreation activities. These areas are rated for their significance or importance to recreation and for their sensitivity to alteration

This point-layer shows the locations of components that make up facilities (Facilities are stored in another layer). Examples of facility components are barbeques, picnic tables, benches, or kiosks. See the Comp domain for a complete list. NOTE: Although some of the items in the domain appear to be activities, they are actually physical entities that appear within a facility. A facility component point would be stored in this layer to show a more precise location of the kayak rental place of business.Data is not necessarily complete - updates will occur weekly.

A Rest Area is a developed roadside area for the use of the traveling public which must contain a washroom, and often has litter receptacles, picnic tables and other facilities. It is a Point feature

Point layer showing the locations of facilities. A "facility" is an area that contains one or more components. For example, a visitor centre facility might include two parking lots a playground, a separate building for washrooms, a kiosk for renting canoes, picnic tables and barbequesData is not necessarily complete - updates will occur weekly.

Sectoral division of leisure districts.**Collection context** Historical breakdown provided by the recreation department.**Collection method** Computer-aided mapping.**Attributes*** `ID_SEC_LOISIR` (`integer`): Identifier* `SECTOR_NUM` (`varchar`): Sector number* `SECTOR_NAME` (`varchar`): Sector name* `SOURCE` (`varchar`): Source* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified by* `NEIGHBORHOOD` (`varchar`): NeighborhoodFor 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).**