The Northern Canada geodatabase contains a selection of the data from the Atlas of Canada Reference Map - Northern Canada / Nord du Canada (MCR 36). The geodatabase is comprised of two feature data sets (annotation and geometry), and the shaded relief. The annotation feature dataset comprises the annotation feature classes. All annotation feature classes were derived for MCR 36 and all text placements are based on the font type and size used for the reference map. The geometry feature dataset is comprised of data for: boundaries, roads, railways, airports, seaplane bases, ports, populated places, rivers, lakes, mines, oil/natural gas fields, hydroelectric generating stations, federal protected areas, ice shelves, permanent polar sea ice limit and the treeline. The geodatabase can be downloaded as feature data sets or as shapefiles.

This statistic shows the percentage of agricultural operations in Canada using GIS mapping technology in 2015, by farm size. In that year, **** percent of Canadian farms with 10,000 or more acres of land reported using GIS mapping.

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

Unlock precise, high-quality GIS data covering 3.6M+ verified locations across Canada. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

Key use cases of GIS Data helping our customers :

1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.

GapMaps GIS Data sourced from Applied Geographic Solutions includes over 40k Demographic variables across topics including estimates & projections on population, demographics, neighborhood segmentation, consumer spending, crime index & environmental risk available at census block level.

One of the most pressing challenges in Canadian public health is effective geographic access to healthcare, especially in more sparsely populated regions. Convenient access to hospitals, clinics, pharmacies, and other specialized health providers means better health outcomes and well-being among the population. This is especially challenging in Nova Scotia where doctors are retiring and communities are aging, yet additional infrastructure is not being built fast enough to keep up with changing health needs. Evaluating a community's proximity to the full breadth of healthcare facilities and public health decision-makers and planners is a challenge. GIS can be used to measure access to healthcare in a variety of ways. For example, spatial methods have been developed to measure health network adequacy. GIS is an intuitive tool to measure network adequacy because it combines geographic distances between communities and healthcare services to develop a map of accessibility.

GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

CDFW BIOS GIS Dataset, Contact: Melanie Gogol-Prokurat, Description: Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California.

The Canada Basemap – Transportation (CBMT) is a vector tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from multiple datasets. - Topographic data of Canada - CanVec Series - “Automatically Extracted Buildings” GeoBase (a raw digital product in vector format automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources.) - Open Street Map (OSM) data available under the Open Database License (https://www.openstreetmap.org/copyright). - Official names from the Canadian Geographical Names Database (CGNDB). Geographic Coverage: CBMT covers the entire geographic area of Canada and some major transportation routes and cities in the northern States of the USA. Data Update Frequency: Updates are applied monthly to reflect the latest updates in the source datasets. Projection: Data is provided in the EPSG:3978 (NAD83 Canada Atlas Lambert) projected coordinate system. Layer Access: - CBMT is accessible via the ArcGIS Online item link with the applied style or it can also be accessed directly with the default style using the following Vector Tile Server: https://tiles.arcgis.com/tiles/HsjBaDykC1mjhXz9/arcgis/rest/services/CBMT_CBCT_3978_V_OSM/VectorTileServer - In QGIS or other applications that require the style JSON, the following link can be used: https://arcgis.com/sharing/rest/content/items/708e92c1f00941e3af3dd3c092ae4a0a/resources/styles/root.json Use Cases: This layer is suitable for use in any map as a basemap layer and can be modified to meet the needs of the project by editing the JSON style in the Vector Tile Style editor. Additional Versions: - A geometry-only version (CBMT3978GEOM) and a text-only version (CBMT3978TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport 3978 V (CBCT3978).

This GIS dataset portrays the distribution of glacial landforms in Alberta, based on the compilation of existing government survey mapping and research literature, supplemented by new analysis of remote sensing data. It is the dataset that was used to create Alberta Geological Survey Map 604 (Glacial Landforms of Alberta) using an intermediate step of reducing the density of closely spaced line segments to make the features suitable for map production at 1:1 000 000 scale. This dataset contains the original line features without any cartographic generalization. The data were created in geodatabase format and output for public distribution in shapefile format.

OpenStreetMap exports for use in GIS applications.

This theme includes all OpenStreetMap features in this area matching:

amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university')

Features may have these attributes:

• source
• addr:full
• capacity:persons
• building
• amenity
• operator:type
• name
• addr:city

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 9 of the Atlas, Middle Ordovician to Lower Devonian Strata of the Western Canada Sedimentary Basin, Figure 1, Distribution map. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.

This is a layer package created by the Colorado Parks and Wildlife GIS Unit in 2017 for distributing Colorado state parks and wildlife GIS data for public distribution.

This file was updated on February 7, 2017.

This Web map depicts the historic First Nations treaties that were negotiated in Canada between 1725 and 1930. The treaties are divided by Pre-Confederation, Post-Confederation and Upper Canada Treaties. The treaties are divided by Pre-Confederation, Post-Confederation and Upper Canada Treaties - See more at: http://esri.ca/en/content/historic-first-nations-treaties-canada#.dpufThe treaties are divided by Pre-Confederation, Post-Confederation and Upper Canada Treaties - See more at: http://esri.ca/en/content/historic-first-nations-treaties-canada#.dpufWeb map published and hosted by Esri Canada © 2013. Content Source(s):Natural Resource Canada Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100) Update Frequency: As Required Publication Date: December 2013

Society of Environmental Toxicology and Chemistry North America Conference 2014 (Vancouver, Canada) Poster presentation. Poster Abstract: GIS Layer of Standardized Fish Mercury Concentrations Across Canada Now Available A national GIS layer of standardized fish mercury (Hg) data would be useful to the scientific community for many types of spatial analyses and modeling. To produce this national GIS layer for Canada, we first assembled all available fish Hg data across the country and did quality-assurance checks, which resulted in 387,872 fish Hg records. We removed all records from sites with known point-source Hg inputs or from hydroelectric reservoirs. The resulting dataset contained 231,063 records from 3547 locations across Canada from 1967-2010. We used this data and the USGS National Descriptive Model for Mercury in Fish (NDMMF) to estimate Hg concentrations in a standard-length (12-cm) whole yellow perch for each sampling location. The resulting geocoded dataset of standardized fish Hg concentrations is called the Fish Mercury Datalayer for Canada, or FIMDAC, and is now available to the scientific community. FIMDAC can be used for Hg eco-risk assessment, modeling of Hg dynamics and bioaccumulation in aquatic ecosystems, spatial analysis of Hg biogeochemistry, and as baseline for modeling future Hg management scenarios and their environmental consequences. FIMDAC is not appropriate for human health risk assessment, temporal trend analysis or for setting human consumption guidelines. Relevant links: Data request form: http://www.smu.ca/research/fish-mercury-datalayer.html Metadata: http://dx.doi.org/10.6084/m9.figshare.1210773

This GIS dataset portrays the distribution of glacial landforms in Alberta, based on the compilation of existing government survey mapping and research literature, supplemented by new analysis of remote sensing data. It is the dataset that was used to create Alberta Geological Survey Map 604 (Glacial Landforms of Alberta) using an intermediate step of reducing the density of closely spaced line segments to make the features suitable for map production at 1:1 000 000 scale. This dataset contains the original line features without any cartographic generalization. The data were created in geodatabase format and output for public distribution in shapefile format.

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Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,

The primary intent of this workshop is to provide practical training in using Statistics Canada geography files with the leading industry standard software: Environmental Systems Research Institute, Inc.(ESRI) ArcGIS 9x. Participants will be introduced to the key features of ArcGIS 9x, as well as to geographic concepts and principles essential to understanding and working with geographic information systems (GIS) software. The workshop will review a range of geography and attribute files available from Statistics Canada, as well as some best practices for accessing this information. A brief overview of complementary data sets available from federal and provincial agencies will be provided. There will also be an opportunity to complete a practical exercise using ArcGIS9x. (Note: Data associated with this presentation is available on the DLI FTP site under folder 1873-221.)

The Geological Atlas of the Western Canada Sedimentary Basin was designed primarily as a reference volume documenting the subsurface geology of the Western Canada Sedimentary Basin. This GIS dataset is one of a collection of shapefiles representing part of Chapter 24 of the Atlas, Uppermost Cretaceous and Tertiary Strata of the Western Canada Sedimentary Basin, Figure 2, Uppermost Cretaceous and Tertiary-Index Map. Shapefiles were produced from archived digital files created by the Alberta Geological Survey in the mid-1990s, and edited in 2005-06 to correct, attribute and consolidate the data into single files by feature type and by figure.