This is a spatial layer that reflects operational activities for cutblocks contained within harvesting authorities. The Forest Tenures Section (FTS) is responsible for the creation and maintenance of digital Forest Atlas files for the province of British Columbia encompassing Forest and Range Act Tenures. It also supports the forest resources programs delivered by MoFR. Each feature contains a Ministry of Forests and Range (MoFR) FEATURE_CLASS_SKEY (number) column that further defines the type of that feature. The layer contains cutblock boundaries for the following feature classes: Forest Licence Cut Block (555), Licence to Cut Cut Block (616), Timber Licence Cut Block (810), Timber Sale Licence Major Cut Block (817), Timber Sale Licence Minor CB Non Replaceable (820), Tree Farm Licence Cut Block (833), Wood Lot Licence Cut Block (863), Community Forest Cut Block (2402), and Timber Sale Licence Minor CB Replaceable (2417). Each cut block has a life cycle status that is either PENDING - the cut block has been submitted as a new cut block or an amendment, but is not yet approved or rejected, ACTIVE - the cut block is approved and activities may be taking place on the cut block, or RETIRED - all activities, with respect to the harvesting authority, have been completed for the cut block

Bait resources in most of the province are assigned to harvesters through the use of a block system -- 1 harvester per 'bait harvest' area. There are exceptions to the block system (e.g., Lake Erie), where bait is allocated to multiple users fishing the same area.

The spatial representation for a Forest Exclusion, which is an areas or block excluded from Provincial Forest at the time of the original establishment by Order in Council

This information is used  to manage oil and gas rights on offshore Crown lands in Ontario. A grid system of blocks and tracts is used to divide the area. 1 block =  5 minute longitude by 5 minute latitude numbered area. 1 tract =  1 minute longitude by 1 minute latitude area, assigned by letters . 1 block contains 25 tracts. This product requires the use of geographic information system (GIS) software.

Determines the location of Coal Titles within the Province of British Columbia. It is established under the authority of the Petroleum and Natural Gas Grid Regulation. It is defined by a set of UTM coordinates which approximate NAD 27 latitude and longitude positions. Units are the finest level of the Coal Grid. They are defined by UTM coordinates for their corners and the mid points of the four sides. A unit is the base building block for creating the Coal Grid. In a block there are 100 units, 10 rows by 10 columns, and numbered consecutively, starting in the southeast corner. The units are numbered 1 to 10, 11 - 20 etc. always reading from right to left. E.G. 082E05D007

The basking shark (Cetorhinus maximus), is a species found in Atlantic Canadian waters which is mostly encountered “basking” on the surface waters and sometimes caught accidentally in commercial fisheries. One Pop-up Satellite Archival Tag (PSAT Mk10) from Wildlife Computers was applied to a single female basking shark in September 2008 on a commercial vessel to collect data on depth (pressure), temperature and ambient light level (for position estimation). The basking shark was 610 cm Total Length (curved). The tag released on the pre-programmed date 125 days after deployment. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployment can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.

The Atlas of Canada High Speed Internet Network map illustrates the availability of high-speed internet across Canada in 2024. High speed internet service is broken up into 4 download speeds in Megabits per second. 25 Mbps, 50 Mbps, 100 Mbps, and Gigabit (940 Mbps). It features an inset map and a bar graph that provide additional insights. The inset map shows the percentage of population in each province with access to 50 Mbps internet. The bar graph shows the percent of population without access 50 Mbps internet by year, dating back to 2018.The Atlas of Canada High Speed Internet Network map is shown at a scale of 1:6 000 000. It is part of the new Atlas of Canada series, which features a shared look and feel across all map products to ensure consistency in design and layout. This map supports the Communication and Transportation theme, one of five core themes featured in the renewed Atlas of Canada web presence at atlas.gc.ca. The common design helps make Atlas of Canada products easier to read, compare, and use together across the Atlas collectionUse the Atlas of Canada site to find places, digital maps, facts, geographical information and learning resources about Canada.Source: Canadian Radio-television and Telecommunications Commission (CRTC), 2025. Current trends - High-speed broadband. https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/ban.htmIf you have questions about CRTC data, e-mail info@crtc.gc.ca.Produced by the Canada Centre for Mapping and Earth Observation, the Geoscience and Earth Monitoring Sector, Natural Resources Canada. 2025.

The wind speed layer shows the modeled wind speed [m/s] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 m/s each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.

The dataset represents known concentration areas of harvested or unharvested Softshell clam (Mya arenaria) in the intertidal zone of the Estuary and the Gulf of St. Lawrence, Quebec region. The dataset was created for the National environmental emergencies centre (NEEC) for preparation and response in case of an oil spill. Concentration areas were defined using Fisheries and Oceans Canada (DFO) inventories conducted between 2000 and 2020.This layer is dependent on the inventories carried out and thus only represents known clam areas. For example, for the Haute-Côte-Nord, inventories have been limited to areas open to harvesting (with the exception of 4 sectors), but it is known that the Softshell clam is also present outside these areas. In addition, little information was available for the Moyenne and Basse-Côte-Nord.This data layer does not represent the general distribution of the species nor the extent to which fishing is allowed. The extent of shellfish beds may vary over time in response to, among others harvesting and the recruitment rates. The boundaries of polygons from inventory data may be underestimated relative to the actual size of the deposit since the inventories were conducted at the location where the resource is most abundant, without necessarily sampling the entire bed. However, the accuracy is sufficient for the protection and management needs of the resource in the event of an environmental incident. Data sources and references:Brulotte, S. 2011. Évaluation des stocks de mye commune des eaux côtières du Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2011/044. x + 53 p.Brulotte, S. 2018. Évaluation de la mye commune (Mya arenaria) des eaux côtières du Québec en 2016 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2018/004. ix + 60 p.Brulotte, S. 2020. Évaluation des stocks de la mye commune (Mya arenaria) des eaux côtières du Québec en 2019 – méthodologie et résultats. Secr. can. de consult. sci. du MPO. Doc. de rech. 2020/055. vii + 43 p.Brulotte, S. 2022. Résultats des inventaires de gisements de mye commune (Mya arenaria) réalisés de 2016 à 2020 et mise à jour des résultats de ceux effectués de 2001 à 2014 au Québec. Secr. can. de consult. sci. du MPO. Doc. de rech. 2022/xxx. (in progress)Brulotte, S. and M. Giguère. 2003. Évaluation d'un gisement de mye commune (Mya arenaria) de l'embouchure de la rivière Mingan, Québec, Rapp. can. ind. sci. halieut. aquat. No. 2511: xi + 58.Brulotte, S., M. Giguère, S. Brillon and F. Bourque. 2006. Évaluation de cinq gisements de mye commune (Mya arenaria) aux Îles-de-la-Madeleine, Québec, de 2000 à 2003. Rapp. tech. can. sci. halieut. aquat. 2640 : xii + 92 p.Brulotte, S., Giguère, M. and Duluc, C. 2015. Essais de techniques de captage du naissain de mye commune (Mya arenaria) sur la rive nord de l’estuaire et du golfe du Saint-Laurent. Rapp. tech. can. sci. halieut. aquat. 3084 : ix + 60 p.Giguère, M., S. Brulotte and F. Hartog.2007. Évaluation de quelques gisements de mye commune (Mya arenaria) de la rive sud de l'estuaire du Saint-Laurent en 2005 et 2006. Rapp. can. ind. sci. halieut. aquat. No. 2738: xi + 107.Giguère, M., S. Brulotte, M. Boudreau and M.-F. Dréan. 2008. Évaluation de huit gisements de mye commune (Mya arenaria) de la rive nord de l’estuaire du Saint-Laurent de 2002 à 2008. Rapp. tech. can. sci. halieut. aquat. 2821 : x + 91 p.Roy, I., M. Giguère, S. Brulotte and M. Gagnon. 2003. Évaluation de douze gisements de mye commune (Mya arenaria) du sud de la Gaspésie, Rapp. Tech. can. sci. halieut. aquat. 2469: xvi + 140 p.

This is point GIS coverage consisting of either fire ignition locations or centroids of fire polygons where the exact location of fire ignition were unknown for fires within the Yukon, spanning a period from 1946 to present. Although the temporal scale of the coverage goes back to late 1940's, Yukon-wide fire detection capability was not fully developed until the 1960's. In addition to this, access to regular aerial mapping was not readily available until that same time period. As a result many fires in the 40's and 50's were simply not recorded or poorly mapped, particularly in the north. For that reason, care must be taken when drawing conclusions from these data as it relates to the early years. Starting 2020 on the data was automatically updated using iFMS.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)