The map displays bedrock formations at or near the surface of the land, on the sea floor above the continental crust that forms the Canadian landmass, and oceanic crust surrounding the landmass. The bedrock units are grouped and coloured according to geological age and composition. The colours of offshore units and oceanic crust are paler and more generalized than those on land, although the constituent units offshore are still easily discernible from their dashed boundaries. This colour design, coupled with the use of a white buffer zone at the coast allows the coastline of Canada to be readily distinguished and still show the grand geological architecture of the Canadian landmass.The map also shows major faults that have disrupted the Earth's crust, onshore and offshore, and a variety of special geological features such as kimberlite pipes, which locally contain diamonds, impact structures suspected to have been caused by meteorites, and extinct and active spreading centres in the surrounding oceans.

Industrial sectors.attributs:ID - Unique identifierName - Industrial park name**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

STR - Facilities and structures (structure)Man-made construction. For example, resources describing buildings, museums, churches, schools, hospitals, factories, housing, monuments, and towers.

The spatial representation for an Inventory Region or Compartment. Established by the Resource Inventory Branch, Inventory Regions are large drainages encompassing groups of small drainages also known as compartments. These were once used for planning purposes, similar to the current Planning Cells. They are now maintained in the files as reference for many administration boundaries

A building is a structure that has a roof and walls and stands more or less permanently in one place. Small buildings have only their location recorded. A 'building to scale' is a structure that has one dimension larger than 50 metres for the 1: 20,000 scale and larger than 30 metres for the 1: 10,000 scale. Their extents are recorded. This product requires the use of geographic information system (GIS) software.

All the evaluation units of the graphic matrix of the City of Rouyn-Noranda.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

“Automatically Extracted Buildings” is a raw digital product in vector format created by NRCan. The feature classes of this product delineate polygonal building footprints automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources.The first feature class, Automatically Extracted Buildings by acquisition source, contains building footprints delivered according to the spatial extent of each source dataset used for extraction. When the spatial extents of acquisition sources overlap, footprints for the same building may therefore be duplicated in this class.The second feature class, Optimized Buildings Layer, is an assembled and harmonized layer derived from the buildings by acquisition source. Its objective is to provide a unique representation of each building footprint by removing duplicates and resolving overlaps between sources.

The 2000 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.

The purpose of this layer is to provide end users with a spatial representation of the Designated Areas in adopted Development Plans and their consolidated amendments in Manitoba. It also allows users of the data to undertake a variety of land use planning analyses based on Development Plan Designations. This layer is intended to be a source of data delivery as well as usage in situ.This dataset is comprised of boundary geometry representing the Development Plan Designations for all of the Development Plan bylaws (as defined in The Planning Act) in force and effect within the Province of Manitoba. Spatial referencing of the designations is based on the best available land parcel data for each municipality. Where available, land parcel data based on registered survey plans and ground control coordinates was used. Otherwise, the reference grid maintained by Manitoba Sustainable Development was used. The delineation of the boundaries is set by the bylaw establishing or amending the boundary of each designation. Dataset content is subject to: Ongoing changes in designated areas which are determined by amendments to adopted Development Plans or the adoption of new Development Plans. Ongoing development and maintenance of the land parcel datasets. Improvements to the land parcel data are used to improve the positional accuracy of the Development Plan designation polygons. As of the publication date of this dataset, the following known issues remain: For designation boundaries that include water boundaries, the water boundary that best reflects the intended designation boundary was used. In some instances, road allowances on a municipal boundary are included in both of the adjoining municipalities. Please visit the Manitoba Municipal Relations website for more information at www.gov.mb.ca/mr. The Development Plan Designations data reflects the most current designations at the time of export and was uploaded to Manitoba Maps as a feature layer. Fields Included: OBJECTID: Sequential unique whole numbers that are automatically generated DP_BYLAW: Number assigned by planning authority to identify a specific bylaw DPA_BYLAW: Number assigned to a bylaw that amends an existing development plan bylaw PLANNINGDISTRICT: Name of the Planning District establishing the bylaws PLANNINGREGION: Area of responsibility for a Community and Regional Planning Branch (In the Department of Municipal Relations) office ACRES: Area of each polygon expressed in acres DES_NAME: Name of Designation as stated in the Development Plan bylaw DES_CATEGORY: Designation category as interpreted by Municipal Relations RES_MIN_ACRES_PER_LOT: Minimum acreage for a residential lot as defined by the Development Plan bylaw RES_MAX_ACRES_PER_LOT: Maximum acreage for a residential lot as defined by the Development Plan bylaw MUNI_NO: Manitoba municipality identifier number MUNI_NAME: Name of municipality AU_LIMIT: Animal Unit limit as set by the Development Plan Policy

The 2010 AAFC Land Use is a culmination and curated metaanalysis of several high-quality spatial datasets produced between 1990 and 2021 using a variety of methods by teams of researchers as techniques and capabilities have evolved. The information from the input datasets was consolidated and embedded within each 30m x 30m pixel to create consolidated pixel histories, resulting in thousands of unique combinations of evidence ready for careful consideration. Informed by many sources of high-quality evidence and visual observation of imagery in Google Earth, we apply an incremental strategy to develop a coherent best current understanding of what has happened in each pixel through the time series.