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- Data Visualization: 71-607-X2024003Description: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.Release date: 2024-03-22
- Geographic files and documentation: 92-160-GDescription:
This reference guide is intended for users of the census boundary files. The guide provides an overview of the files, the general methodology used to create them, and important technical information for users.
Release date: 2022-02-09 - Geographic files and documentation: 92-160-XDescription:
The Boundary files portray the geographic limits used for census dissemination and are available for Provinces and Territories, Census Divisions, Economic Regions, Census Metropolitan Areas and Census Agglomerations, Census Consolidated Subdivisions, Census Subdivisions and Aggregate Dissemination Area.
There are two types of boundary files: digital and cartographic. Digital files depict the full extent of the geographical areas, including the coastal water area. Cartographic files depict the geographical areas using only the major land mass of Canada and its coastal islands. The files provide a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.
The Boundary Files are portrayed in Lambert conformal conic projection and are based on the North American Datum of 1983 (NAD83). A reference guide is available (92-160-G).
Release date: 2021-11-17 - Surveys and statistical programs – Documentation: 89-20-0005Description:
Ever wanted to create your own maps, or integrate and visualize datasets to examine changes between locations and over time, or assess relations between variables? Geographic Information Systems (GIS) are the go-to programs for processing, integrating and visualizing spatial data, and conveying information in a widely-accessible and intuitive format. Follow along with these tutorials and learn the key concepts and procedures for performing common GIS tasks - such as creating maps, joining and overlaying datasets, and examining spatial variations.
Release date: 2020-12-11 - Surveys and statistical programs – Documentation: 89-20-00052020008Description:
This QGIS tutorial introduces the Field Calculator, used to add or update fields within the attribute table and edit features. Like the Select by Expression tool, it uses expression syntax. Follow along as we use these tools in conjunction to select and edit large selections of features. Specifically, we’ll cover syntax for adding geometric measures such as area, length and XY coordinates, as well as creating and editing feature attributes in numeric and text fields – by adding a Class field and updating the speed_rest field (speed limits) in the CPRoads layer. Build upon the foundational skills for writing expressions covered in the previous demo – using these procedures to isolate and populate feature attributes in these fields. Ensure you apply the remaining expressions and save the edits (shown at the end of the video and below) to the CPRoads layer, for use in later tutorials (Demos #10 and 23-25). Extend these skills to add, edit and update fields and feature attributes in layers relevant to your own areas of work and expertise.
Release date: 2020-02-19 - 6. Creating Vector Data ArchivedSurveys and statistical programs – Documentation: 89-20-00052020006Description:
In this QGIS tutorial you’ll learn to create a new vector layer and delineate feature geometries. Follow along as we cover the parameters, procedures and tools to delineate your own custom geometries, add fields and populate feature attributes, as well as copy and modify geometries from other layers of interest. These procedures, demonstrated with a polygon vector, equally extend to creating point and line vector geometries. Additionally, learn to enable and disable non-default (e.g. Advanced Digitizing, Shape Digitizing and Snapping) toolbars within QGIS’s interface, and enable editing tools. Apply these skills in creating layers of interest, such as custom clip layer for an area of interest (AOI), land-cover files, or training data, when equivalent datasets does not exist – enabling you to delineate geometries and populate feature attributes that suit your needs.
We’ll use the AOI layer in upcoming tutorials to standardize the extent of layers for further processing and analysis, so be sure to follow along and save your edits at the end of the demo. Stay tuned for the next tutorial, where we’ll introduce tools to select features by their attributes – enabling you to isolate features by criteria, conditions and values of interest within fields of a vector layer’s attribute table.
In this demo, we’ll delineate features with the Add Polygon Feature tool and additional tools on the Shape Digitizing toolbar. The Add Feature tool is the most common and versatile means for creating new features of any geometry type and form, while the latter tools are exclusive to polygon and line vectors - helping rapidly add regular polygon features. The Advanced Digitizing Panel is applied to snap feature segments at specified angles, while the Snapping tool facilitates aligning the vertices or segments of created features to those of other features. Similarly, copying and pasting feature geometries can also ensure alignment of created features with those of interest in other layers.
Release date: 2020-02-18 - 7. Selecting Features by Attributes in QGIS ArchivedSurveys and statistical programs – Documentation: 89-20-00052020007Description:
This QGIS tutorial covers attribute-based selection tools, which are used to query, select and subset features in a vector layer by specific criteria, conditions or values of interest within fields of the attribute table. Follow along as we work through different examples using the Select by Value and Select by Expression tools. Learn to isolate features by multiple criteria of interest, use additional selection methods (e.g. add, remove, and select features from a selection) and apply the SQL-like syntax for constructing expressions. This syntax is used in various QGIS tools. We’ll cover foundational rules, and then demonstrate creating expressions and applying associated operators to isolate text and numeric feature attributes. Learn to use wildcard characters and multiple fields in selecting features, as well as procedures for subsetting and exporting selected features to a new layer. You can then extend these skills in selecting and subsetting features by attributes in vector layers relevant to your own areas of work and expertise. We’ll continue building upon these skills in subsequent tutorials, including the next tutorial where we’ll use the Field Calculator and expression syntax to add new fields and edit feature attributes storing spatial measures, numbers and text characters.
Release date: 2020-02-18 - 8. What is GIS and why use QGIS? ArchivedSurveys and statistical programs – Documentation: 89-20-00052019001Description:
In this introductory tutorial we'll discuss what geographic information systems (GIS) are, their applications, and potential uses in your own areas of work and expertise. We'll briefly discuss and download QGIS - an open-source program - which can be used to perform common GIS tasks, such as combining, analyzing and visualizing spatial data. These QGIS tutorials are created for new GIS users - with no formal training or experience using GIS. We'll start with foundational concepts and skills, and build towards more advanced topics. You can then extend these skills to datasets of thematic relevance to you in addressing common challenges and tasks.
Release date: 2020-02-17 - Surveys and statistical programs – Documentation: 89-20-00052020001Description:
This tutorial covers the main categories and sub-types of spatial data used in GIS, as well as three properties that make datasets spatial: map projections, datums and coordinate reference systems. We’ll also discuss the distinguishing characteristics and applications of vector and raster data, as well as their associated sub-types (vector: points, lines and polygons, raster: singleband, composite and thematic) and common file formats. This understanding will provide the necessary skills to navigate online geospatial archives, such as Canada’s Open Maps, and download relevant datasets in the optimal format for your intended use – which we’ll cover in Part II of this tutorial.
Release date: 2020-02-17 - 10. Downloading Spatial Datasets from Open Maps ArchivedSurveys and statistical programs – Documentation: 89-20-00052020002Description:
This tutorial covers navigating and downloading spatial data from Canada’s Open Maps platform, the integrated geospatial data archive for the federal government. Learn to search and filter for datasets of interest, distinguish different components of spatial datasets, and apply common referencing guides in isolating files that correspond to your area of interest. Procedures for accessing census boundary files and tables from Statistics Canada for integration in GIS are also shown. Ensure to download these and remaining datasets listed at the end of the video for use in following tutorials. Apply these skills to download spatial data relevant to your own areas of work and expertise, from Open Maps and other (e.g. provincial and municipal) geospatial archives in taking full advantage of the diverse and finer-resolution datasets that are publicly available. These skills should enable you to isolate and download a variety of layers, and examine most processes or features of interest.
Release date: 2020-02-17
Data (1)
Data (1) ((1 result))
- Data Visualization: 71-607-X2024003Description: The Census of Environment Geospatial Explorer is web GIS application that lets users visualize thematic maps of Statistics Canada data tables published in the context of the Census of Environment. The application reads statistical data from the Common Output Data Repository (CODR) using Statistics Canada Web Data Services (WDS) and joins them with geospatial data to build and display thematic maps to the user.Release date: 2024-03-22
Analysis (10)
Analysis (10) ((10 results))
- Journals and periodicals: 92F0138MDescription:
The Geography working paper series is intended to stimulate discussion on a variety of topics covering conceptual, methodological or technical work to support the development and dissemination of the division's data, products and services. Readers of the series are encouraged to contact the Geography Division with comments and suggestions.
Release date: 2019-11-13 - Articles and reports: 11-633-X2017006Description:
This paper describes a method of imputing missing postal codes in a longitudinal database. The 1991 Canadian Census Health and Environment Cohort (CanCHEC), which contains information on individuals from the 1991 Census long-form questionnaire linked with T1 tax return files for the 1984-to-2011 period, is used to illustrate and validate the method. The cohort contains up to 28 consecutive fields for postal code of residence, but because of frequent gaps in postal code history, missing postal codes must be imputed. To validate the imputation method, two experiments were devised where 5% and 10% of all postal codes from a subset with full history were randomly removed and imputed.
Release date: 2017-03-13 - 3. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.
Release date: 2008-03-17 - Articles and reports: 85-561-M2006007Geography: Census metropolitan areaDescription:
This research paper explores the spatial distribution of crime and various social, economic and physical neighbourhood characteristics on the Island of Montréal. Analysis is based on police-reported crime data from the 2001 Incident-based Uniform Crime Reporting Survey, the 2001 Census of Population, and Communauté métropolitaine de Montréal land-use data.
Release date: 2006-06-08 - Articles and reports: 85-561-M2004004Geography: Census metropolitan areaDescription:
This research paper explores the spatial distribution of crime and various social, economic and physical neighbourhood characteristics in Winnipeg. Analysis is based on police-reported crime data from the 2001 Incident-based Uniform Crime Reporting Survey, the 2001 Census of Population, and City of Winnipeg land-use data.
Release date: 2004-09-16 - Articles and reports: 21-601-M2003062Description:
This study examines the geographic distribution of livestock and poultry in May 2001, at the time of the 2001 Census of Agriculture. It compares it with the situation on Census Day 1991 to determine how concentrations have changed during the 1990s.
Release date: 2003-02-18 - Stats in brief: 63-016-X20020026451Geography: CanadaDescription:
The surveying and mapping services industry plays a key role in supporting other sectors of the economy: - the energy sector calls upon the services of geophysical surveying and mapping firms; - municipal governments, businesses, and homeowners require the services of land surveyors; and - both the private and the public sectors require custom mapping services, for a variety of applications.
Release date: 2002-10-28 - 8. Geographic Structures As Census Variables: Using Geography to Analyse Social and Economic Processes ArchivedArticles and reports: 92F0138M2001001Description:
Traditionally, Statistics Canada uses standard geographic areas as "containers" for the dissemination of statistical data. However, geographic structures are often used as variables in general applications, for example, to document the rural and urban population in a specific area such as an incorporated municipality (census subdivision). They are not often cross-tabulated with each other to illustrate and analyse specific social and economic processes, for example, the settlement patterns of the population inside and outside of larger urban centres broken down by urban and rural areas.The introduction of the census metropolitan area and census agglomeration influenced zone (MIZ) concept presents additional opportunities to use geographic structures as variables to analyse census data.The objectives of this working paper are to illustrate the advantages of using geographic structures as variables to better analyse social and economic processes and to initiate a discussion in the user community about using these variables and the potential of this largely untapped capability of the Census databases. In order to achieve these objectives, four examples of geography as a variable are presented. The examples include Aboriginal persons living on-reserve and off-reserve in urban and rural areas in Canada, the unemployment rate of persons living in urban and rural areas in Canada, the gross rent of renter households in urban and rural areas in Canada, and the migration flows of persons 15 to 24 years of age between major urban centres and rural and small town areas (MIZ).Our intent is to encourage the use of geographic structures as census variables in order to provide users with the tools that will enable them to more accurately analyse the social and economic processes that take place in the geographic areas of Canada.
Release date: 2001-03-16 - 9. Mapping innovation and connectedness ArchivedArticles and reports: 88-003-X20000035776Geography: CanadaDescription:
Location, location, location - is it important in research and technology? Statistics Canada survey data are being used to provide a new approach to analyze the usefulness of mapping key innovation indicators. By attaching survey data sets to sources with a larger sample size, detailed geographic distributions of establishments are estimated. Numerous data sets are being explored with the benefits to be realized in an interactive GIS.
Release date: 2000-10-06 - 10. Automated Land Area Tests for the 2001 Census: Preliminary Results Using the 1996 Digital Cartographic Files ArchivedArticles and reports: 92F0138M1998001Description:
Prior to the 2001 Census, the Geography Division manually calculated land area using a planimeter. The manual approach was necessary since the division did not have a national digital database to support an automated method. The manual land area calculation was a labour intensive process as well as very time consuming, expensive and very prone to error. With the anticipation of having a national digital base for the 2001 Census (to be called the National Geographic Base or NGB), the automated land area calculation becomes a simple GIS process.
The objectives of this paper are to show the effects of data aggregation and different map projections on automated land area calculation. The testing is a two- staged process; the first stage uses the 1996 Digital Cartographic Files (DCFs) and the second stage will use the NGB. Although the DCFs are not ideal for testing land area, this two-staged approach is necessary since the NGB will not be completed until Autumn 1998. This report presents results on the first stage using the 1996 DCFs.
The results reveal that the effects of data aggregation are minimal; thus land area can be stored at the census block level and then aggregated to higher level geographic entities without any serious ramifications for the 2001 Census. The results also indicate that an equal-area projection, specifically the Albers Equal-Area Conic projection, is more appropriate for calculating land area.
Release date: 1998-10-26
Reference (18)
Reference (18) (10 to 20 of 18 results)
- 11. Interacting with data in the Map Canvas ArchivedSurveys and statistical programs – Documentation: 89-20-00052020004Description:
This QGIS tutorial demonstrates tools for interacting with spatial data in the map canvas. Follow along as we learn foundational skills, such as changing the extent and scale of the canvas, bookmarking locations for repeated use, and applying interactive tools to select and identify features from selected layers in the Layers Panel. Use the Zoom tools to tailor the canvas to selected datasets or features and help isolate layers, such as those at differing extents, in differing projections, or hidden by other layers. The covered tools and procedures will enable you to quickly assess loaded layers, interactively select features and list their attributes, and prepare layers for mapping (e.g. grouping layers and bookmarking canvas). Note: The Identify tool can also be used on Raster layers, returning the value for the selected cell / pixel.
Release date: 2020-02-17 - Surveys and statistical programs – Documentation: 89-20-00052020005Description:
Following up from interacting with spatial data in the map canvas, this introductory QGIS tutorial covers additional data and available functions in the attribute table and Layer Properties box of loaded vector layers. Follow along as we introduce the layout of attribute tables and cover functions to select, sort, filter and perform simple edits to features. We’ll also discuss key tabs in the Layer Properties box, which provides summary information (spatial and tabular) on the selected layer and additional functions such as visualizing and joining layers (covered in detail in Tutorials # 9-10, and 12-13 respectively). Apply these procedures to vector layers of thematic relevance to your area of work and expertise in quickly selecting, filtering and updating feature attributes to conform to those of interest within QGIS. We’ll expand directly upon these skills in Demos 7 and 8, where we’ll learn to select features by attributes or criteria of interest, update and add new fields, and edit the attributes for large selections of features.
Release date: 2020-02-17 - 13. Urban Area Boundary Files ArchivedGeographic files and documentation: 92-164-XDescription:
The Urban Area Boundary Files portray the urban area boundaries for which 2006 Census data are disseminated. An urban area has a minimum population concentration of 1,000 persons and a population density of at least 400 persons per square kilometre, based on the current census population count. The files contain the boundaries of all 895 urban areas defined for the 2006 Census.
There are two types of boundary files: digital and cartographic. Digital files depict the full extent of the geographical areas, including the coastal water area. Cartographic files depict the geographical areas using only the major land mass of Canada and its coastal islands. The files provide a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software. They are positionally consistent with the 2006 Road Network File, which can provide additional geographic context for mapping applications.
The Urban Area Boundary Files are in latitude/longitude coordinates and are based on the North American Datum of 1983 (NAD83). A reference guide is available (92-160-GWE).
Release date: 2007-03-13 - Geographic files and documentation: 92-149-GDescription:
The National, Census Divisions and Census Subdivisions Reference Maps reference guide is available for the following products: Census Division and Census Subdivision Reference Maps, by Province or Territory, 2006 Census and four national maps. The national maps of Canada at a 1:7,500,000 scale showing census divisions, point locations of census metropolitan areas and census agglomerations, statistical area classification and economic regions and census divisions. The Reference Guide describes the content and applications of these products, as well as data quality, and other information.
Release date: 2006-10-18 - 15. Technology on the Farm ArchivedSurveys and statistical programs – Documentation: 96-328-M2004027Description:
This activity looks at the different ways in which technology is used on the farm.
Release date: 2005-01-28 - Geographic files and documentation: 92F0174XDescription:
This Cartographic Boundary File for Canada contains the boundaries of all 82 census agricultural regions delineated for the 2001 Census of Agriculture together with the shoreline around Canada and the larger inland lakes, all integrated in a single layer. The boundary file coordinates are latitude/longitude and are based on the North American Datum of 1983 (NAD83). The file is available in both ARC/INFO Interchange and MapInfo Interchange formats and a reference guide is also provided.
Cartographic Boundary Files can be used with Census of Population, Census of Agriculture or other Statistics Canada data for data analysis and thematic mapping (with appropriate software). Geographic codes provide the linkage between the statistical data and the geographic area boundaries. Cartographic Boundary Files can also be used to create new geographic areas by aggregating standard geographic areas, and for other data manipulations available with the user's software. The Cartographic Boundary Files are positionally consistent with the Road Network Files and Skeletal Road Network Files, which can provide additional geographic context for mapping applications.
Release date: 2003-05-29 - 17. Census Metropolitan Areas and Census Agglomerations with Census Tracts for the 2001 Census ArchivedGeographic files and documentation: 92F0138M2002001Description:
The 2001 Census defines 27 census metropolitan area (CMAs) and 19 census agglomerations (CAs) with census tracts. This working paper includes three maps for each of these CMAs and CAs. The first map shows the boundary of the CMA/CA and the boundaries of the census subdivision (CSD) components of the CMA/CA for the 1996 Census. The second map shows the transition from 1996 to 2001 (with boundary changes highlighted), and the third map shows the CMA/CA (and component CSDs) as it is defined for the 2001 Census. Accompanying tables list the component census subdivisions and the criteria which they meet to be included in the CMA or CA. The paper describes various factors that can result in changes to the boundaries of CMAs and CAs. For the 2001 Census, municipal restructuring is the factor that has had the greatest impact on the boundaries of some CMAs and CAs.The paper also briefly describes and compares the delineation criteria for metropolitan areas in the United States with those for census metropolitan areas in Canada. An indication is given of the impact on the Canadian CMA program if the American metropolitan area criteria were used.
Release date: 2002-03-08 - 18. 1997 Geography Catalogue, 1996 Census (Geography Products: Geographic Reference Products) ArchivedGeographic files and documentation: 92-374-XDescription:
The 1997 Geography Catalogue provides information about the geographic products and services produced by Statistics Canada. It contains short descriptions of the products and services, including information on price, medium and catalogue numbers.
Release date: 2001-01-24
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