The Canadian Geographical Names Data Base (CGNDB) is the authoritative national database of Canada's geographical names. The purpose of the CGNDB is to store place names and their attributes that have been approved by the Geographical Names Board of Canada (GNBC), the national coordinating body responsible for standards and policies on place names. The CGNDB is maintained by Natural Resources Canada, through the Canada Centre for Mapping and Earth Observation. The geographic extent of the CGNDB is the Canadian landmass and water bodies; the temporal extent is from 1897 to present. This dataset is extracted from the CGNDB on a weekly basis, and consists of current officially approved names, feature type, coordinates of the feature, decision date, source, and other attributes. The output file formats for this product are: text (CSV), Shape (SHP), and Keyhole Markup Language (KML). Content advisory: The Canadian Geographical Names Database contains historical terminology that is considered racist, offensive and derogatory. Geographical naming authorities are in the process of addressing many offensive place names, but the work is still ongoing. For more information, please contact the GNBC Secretariat.

GeoSuite is a tool used for data retrieval, query and tabular output. It allows users to explore the links between all standard levels of geography and to identify geographic codes, names, unique identifiers, and, where applicable, types, as well as land area and population and dwelling counts. GeoSuite includes data for the following the 2021 Census standard geographic areas: • Canada (CAN) • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (FEDs) (2013 Representation Order) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas (CMAs), census agglomerations (CAs) and census metropolitan influenced zones (MIZs) • Census tracts (CTs) • Population centres (POPCTRs) and rural areas (RAs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Place names (PNs)

Compares percent distribution of STEM (science, technology, engineering and math and computer sciences) and BHASE (non-STEM) fields of study between provinces and territories.

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.)

Comprehensive dataset of 2 Institute of Geography and Statistics in Canada as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

To understand the relationship between place and politics, we must measure both political attitudes and the ways in which place is represented in the minds of individuals. In this paper, we assess a new measure of mental-representation of geography, in which survey respondents draw their own local communities on maps and describe them. This mapping measure has been used in Canada, the UK, Denmark, and the U.S. so far. We use a panel study in Canada to present evidence that these maps are both valid and reliable measures of a personally relevant geographic area, laying the measurement groundwork for the growing number of studies using this technology. We hope to set efforts to measure ‘place’ for the study of context and politics on firmer footing. Our validity assessments show that individuals are thinking about people and places with which they have regular contact when asked to draw their communities. Our reliability assessments show that people can draw more or less the same map twice, even when the exercise is repeated months later. Finally, we provide evidence that the concept of community is a tangible consideration in the minds of ordinary citizens and is not simply a normative aspiration or motivation.

Snapshot img

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?

Request Free Sample

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,

Annual counts of enterprises by gender (men+, women+) of owner for Canada, provinces and the territories.

Abstract: A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística y Geografía), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Cooperation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries for download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Bathymetry data set shows the depth in metres for ocean areas covered by the extent of the North American Atlas project. Isobaths (lines of equal depth) are provided for sea level (coastline, with depth = 1), 200, 500, and 2500 metres. Polygons bounded by these isobaths represent depth ranges of 0-200, 201-500, 501-2500, and greater than 2500 metres. This is a revised version of the 2006 data set. Purpose: The North American Atlas data are intended for geographic display and analysis at the national and continental level. These data should be displayed and analyzed at scales appropriate for 1:10,000,000-scale data. No responsibility is assumed by Natural Resources Canada, Instituto Nacional de Estadística y Geografía, National Atlas of the United States, or the Commission for Environmental Cooperation in the use of these data.The original data has been reduced to the extent of the NAFO region. Complete data set can be found here.

GeoSearch is an interactive mapping application that makes it easy to find places in Canada, see them on a map, and get basic geographic and demographic data for them.

This feature layer depicts Canada's ecozones and ecoregions. An ecozone is a large sub-continental geographical division with distinct representative biotic and abiotic features. There are 15 ecozones in Canada.

An ecoregion further divides an ecozone. These geographical units exhibit regional ecological characteristics distinct from neighbouring ecoregions, though there are typically gradual gradations between them. There are 194 ecoregions.

Explore a Web map showing more than 3,500 underwater features in Canada!The Canadian Geographical Names Database (CGNDB) is a database of Canada's geographic names, maintained by the secretariat of the Geographical Names Board of Canada, as part of Natural Resources Canada. The geographical extent of this dataset is the Canadian landmass and water bodies, and the temporal extent is 1987 to present. Data courtesy of:The Canadian Geographical Names Database (CGNDB)Natural Resources CanadaThe Canadian Hydrographic ServiceGeoGratisAnswer the following questions:

What is the definition of a ‘Pingo’ geological feature? How are they formed? How do you think these objects in the water affect sea travel and transportation? If you were planning a boat voyage around the coast of Newfoundland, what kind of considerations would you have to make? Could you stay close to the shore? Visit this URL, and explain the process of naming a geographic feature in Canada: http://www.nrcan.gc.ca/earth-sciences/geography/place-names/about-geographical-names-board-canada/9178

Note: You may refer to the resources above to gain a deeper understanding of Canada's naming conventions for geographic features and to help you answer the questions listed above.

Learning Outcomes:

Rocks and minerals have unique characteristics and properties that are result of how they were formed

 (British Columbia – Grade 11 Science; Alberta – Grade 3 Science; Saskatchewan
 – Grade 12 Science; Manitoba – Grade 8 Science; Ontario – Grade 10 Science;
 New Brunswick – Grade 11 Physical Geography; Newfoundland and Labrador –
 Grade 11 Science; Nova Scotia – Grade 11 Science, Grade 12 Geology; Prince
 Edward Island – Grade 11 Science; Northwest Territories – Grade 8 Science;
 Yukon – Grade 11 Science)

Understanding Earth and Space Systems – Rocks and Minerals & Water Systems

 (Alberta – Grade 8 Science; Saskatchewan – Grade 9 Science; Ontario – Grade
 4 Science; Quebec – Grade 10 Science; New Brunswick – Grade 11 Physical Geography;
 Newfoundland and Labrador – Grade 11 Science; Nova Scotia – Grade 11
 Science, Grade 12 Geology, Prince Edward Island – Grade 11 Science;
 Northwest Territories – Grade 8 Science; Yukon – Grade 11 Science)

Curriculum Connections:

Province/Territory

Grade

 Subject

Alberta

8

 Science

British Columbia

11

 Science

Manitoba

8

 Science

New Brunswick

11

 Physical Geography

Newfoundland and Labrador

11

 Science

Northwest Territories

8

 Science

Nova Scotia

12

 Geology

Ontario

10

 Science

Prince Edward Island

11

 Science

Quebec

10

Science

Saskatchewan

12

 Science

Yukon

11

 Science

Compares percent distribution of STEM (science, technology, engineering and math and computer science) and BHASE (non-STEM) fields of study between census divisions.

A geographic representation of Public Work’s Operational Zones. Operational Zones are a subdivision of Management Area geography (which are a subdivision of District geography). Zones are designed such that each road is assigned to a nearby facility ('base') for service. Facilities usually central within their zone to maximize efficiency.

The 2013 Health Regions: Boundaries and Correspondence with Census Geography reflects the boundaries as of October 2013 and provides the geographic linkage to 2011 and 2006 Censuses.

The Canadian Geographical Names Database (CGNDB) is the database of Canada's geographical names, maintained by the secretariat of the Geographical Names Board of Canada (GNBC), part of Natural Resources Canada. Its purpose is to store names and their attributes that have been approved by the GNBC so, that these authoritative records are available for government and public use. The subset of CGNDB data offered through the Geogratis Portal for data extraction and visualization consists of current officially approved names, and is referred to as the Canadian Geographical Names, Level 1 (CGN1) dataset. Additional attributes for this dataset as well as information on formerly approved names are available through the Canadian Geographical Names Search Service at http://www.nrcan.gc.ca/earth-sciences/geography/place-names/9170. The geographic extent of this dataset is the Canadian landmass and water bodies. The temporal extent of the data is from 1897 to present.

This study includes two components of the research infrastructure developed by CCRI for the 1911 Census of Canada: selected digitized published tables of aggregate data and a reconstruction of the census geography.

GeoSuite is a tool used for data retrieval, query and tabular output. It allows users to explore the links between all standard levels of geography and to identify geographic codes, names, unique identifiers, and, where applicable, types, as well as land area and population and dwelling counts. GeoSuite includes data for the following the 2021 Census standard geographic areas: • Canada (CAN) • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (FEDs) (2013 Representation Order) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas (CMAs), census agglomerations (CAs) and census metropolitan influenced zones (MIZs) • Census tracts (CTs) • Population centres (POPCTRs) and rural areas (RAs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Place names (PNs)

The Geographic Attribute File contains information at the dissemination block level, based Census standard geographic areas. The data available include population counts, dwelling counts, and land area. In addition, the Geographic Attribute File contains higher level standard geographic codes, names and, where applicable, types and classes. Data for higher level standard geographic areas can be derived by aggregating dissemination block level data. The dissemination area representative point coordinates are also included in the Geographic Attribute File.

In this directory, there are 6 geojson files which were used for mapping.1. Lake_Arc_simplify: Boundary of Lakes in and around Ontario2. Ontario_arc: Boundary lines of Ontario3. Municipal_Arc_simplify: Boundary lines of municipalities4. Municipal_Polygon: Polygons of the municipalities5. Stations151: Locations of 151 weather stations (municipalites)6.polygon9864: Rectangle areas centered at the 9864 grid pointssource:https://github.com/LAMPSYORKU/OntarioClimateDataPortal/tree/master/shapefiles