The Resource Management Area (RMA) dataset is comprised of all the polygons that represent the resource management areas of the 17 Integrated Resource Plans (IRP) - Subregional in Alberta. This dataset does not include the RMAs of Local IPR plans due to the resource restraint. Future enhancement of this data set to include Local IRP plans is feasible when resources are available. A Resource Management Area is an area identified within a Sub-Regional IRP plan for more detailed land and resource management intent on a landscape assessment. Generally, a Resource Management Area is characterized by an intent statement and detailed resource management objectives and guidelines. However, there are IRP plans which have their own specific RMA definitions. Plans include, Lakeland Sub-Regional IRP: A RMA is a geographic area of common resource management intent. There is a management intent statement for each resource management area. The intent statement expresses the resource priorities for the area. Kananaskis Country Sub-Regional IRP: RMA areas identify broad units of land within the planning area which have distinct management intents and specific management objectives.

The Integrated Resource Plan - Subregional dataset is comprised of all the polygons that represent the Sub-Regional Integrated Resource Plans (IRP) in Alberta. All the Sub-Regional IRPs were completed under the Integrated Resource Planning Program, from 1976 to approximately 1995. These plans were endorsed by the Government of Alberta with most being approved by Cabinet. The Sub-Regional Plans describe land-use zonation and objectives within individual defined planning areas, to ensure overall consistency with Regional goals and objectives. An Integrated Resource Plan (IRP) is a plan which identifies the values and associated land and resource management goals for the planning area in consideration of the maintenance of social, economic, and ecological values. An IRP provides direction regarding the type of land and resource management activity that would facilitate meeting the stated objectives in the planning area (for example: recreation, grazing, industrial and commercial activities). The public was often involved in contributing input to the development of an IRP. Majority of IRP plans were endorsed by the Government of Alberta in various periods.

The Integrated Resource Plan - Local dataset is comprised of all the polygons that represent the Local Integrated Resource Plans (IRP) in Alberta. A Local IRP provides land resource management direction for a relatively smaller geographic planning area. A Local Plan is developed to provide more detailed land and resource use parameters than may be available in a Sub-Regional Plan. An IRP is a plan which identifies the values and associated land and resource management goals for the planning area in consideration of the maintenance of social, economic, and ecological values. An IRP provides direction regarding the type of land and resource management activity that would facilitate meeting the stated objectives in the planning area (e.g. recreation, grazing, industrial and commercial activities). The public was often involved in contributing input to the development of an IRP. IRPs were endorsed by the Government of Alberta in various periods.

The Eastern Slopes Land Use Zoning dataset is comprised of all the polygons that represent Eastern Slopes Land Use Zones in Alberta. The dataset was created as a basis to provide analysis for nominating Special Places sites for later designation, under the Special Places 2000 Project. Don Getty Wildland Provincial Park (which comprised mainly of Zone 1 - Prime Protection & Zone 2 - Critical Wildlife) is one of the examples. Except designated natural areas. zoning and any associated policy direction for managing resources and surface access on the general Crown lands within these land use zones do not apply to lands that have been designated as a park or protected area under the Provincial Parks Act, the Willmore Wilderness Park Act or the Wilderness Areas, Ecological Reserves, Natural Areas and Heritage Rangelands Act. This dataset was compiled from many Integrated Resource Plans (IRP) studies as well as the Eastern Slopes Policy which were used in the former Special Places 2000 Project planning process.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning.

Registered Trapping Concessions (RTCs) are legal boundaries that define an area where the holder of the concession has the exclusive right to trap furbearing animals. Because trapping is done primarily along waterways, RTCs are often defined by watersheds, using height of land (ridges and mountain peaks) as their boundaries. This is the opposite of GMAs which are defined by mountains. Sometimes RTCs are grouped together to form a Group Trapping Concession (in which groups of individual share the right to trap). This may or may not involve the elimination of the component RTC boundaries. The Yukon has 360 RTCs and 13 Group Trapping Concessions. Only Kluane National Park, Kluane Wildlife Sanctuary, and Ddhaw Ghro Habitat Protection are are not covered by RTCs. This data was built using the 1:250,000 National Topographic Data Base (NTDB) as the digitizing base.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)

The Automatic Identification System (AIS) is a global, satellite-based and terrestrial-based ship tracking system that uses shipborne equipment to remotely track vessel identification and positional information and is typically required on vessels of 300 gross tonnage or more on an international voyage, of 500 gross tonnage or more not on an international voyage, and passenger ships of all sizes. AIS tracking technologies are primarily used in support of real-time maritime domain awareness and for maritime security and safety of life at sea. This report describes a geographic information system (GIS) analysis of 2019 AIS data to produce yearly and monthly vessel density maps of all vessel classes combined and yearly density maps of each vessel class. The year 2019 was selected to portray shipping densities in a pre-COVID 19 pandemic depiction of the maritime transport sector in the Northwest Atlantic. Vessel density map applications include use in spatial analysis and decision support for marine spatial planning. In 2023 the process was applied to the years 2013 through to 2022 and were made available using the same processes that were applied to the original 2019 datasets.

The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).