Proximity Measures - StatsCan (Statistics Canada documentation) - 3

Statistics Canada and the Canadian Mortgage and Housing Corporation have developed a set of metrics on the proximity of various urban amenities to all dissemination blocks in Canada. There are 10 measures of proximity and a composite indicator that combines some of the proximity measures.The measures are based on a simple gravity model that accounts for the distance between a reference dissemination block (DB) and all the DBs in which the service is located (within a given distance) and the size of the services. The measure accounts also for the presence of services within the DB of reference.All measures, except public transit, are based on network distances between the centroids of dissemination blocks (as opposed to straight line distances). For some measures a walking network is used while for other measures a driving network is used. For public transit, the walking network distance is between the centre of a dissemination block and any public transit stop within a given range. The size of the service is captured by total employment or total revenue of the service, or more simply, the presence of points of access to the service within a given distance. The measures are released as a normalized index value, meaning that the values resulting from computations were converted to a scale from 0 to 1, where 0 indicates the lowest proximity and 1 the highest proximity in Canada. The values are normalized at the national level in order to retain as much detail as possible. This allows for more intricate analyses to be conducted on more granular geographies. Dissemination blocks with no value are those with no service within a given distance.Some measures are not available for all DBs, as the input data are not always made readily available at the desired geographic level. As the number of authoritative open data sources increases, a trend in recent years, future iterations of the proximity measures will have more comprehensive coverage spatially.More information is available from Statistics Canada. See the link provided in Supporting Documents, below.CANUE staff assigned these measures to single-link DMTI postal codes. All postal codes within a single dissemination block have the same values.

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Field Value
Last Updated April 18, 2024, 17:08 (UTC)
Created September 18, 2023, 23:15 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Environment
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.zip - application/zip
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2021-02-15
Time Period Data Span (start date)
Start date of the data in the dataset.
2019-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2019-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Canada
fair_rda_a1_02d Yes
fair_rda_a1_03d No
fair_rda_a1_04d No
fair_rda_a1_05d No
fair_rda_a1_1_01d Yes
fair_rda_a1_2_01d No
fair_rda_i1_01d No
fair_rda_i1_02d No
fair_rda_i2_01d No
fair_rda_i3_01d Yes
fair_rda_r1_3_01d No
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
visible
Limits on use
Limits on use of data.
These data files are provided solely for the purposes stated in the CANUE Data Sharing and Use Agreement and should not be re-distributed for any reason. These data also contain proprietary postal code data and may only be used for the project named in the CANUE Data Sharing and Use Agreement. Data can be shared only within a project team for the exclusive purposes of teaching, academic research and publishing, and/or planning of educational services in accordance to DMTI End User Agreement associated with the Spatial Mapping Academic Research Tools (SMART) Program.
Location
Location of the dataset.
https://www.canue.ca
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
CANUE (Canadian Urban Environmental Health Research Consortium)|Dalla Lana School of Public Health, University of Toronto
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Author
Author of the dataset.
CANUE (Canadian Urban Environmental Health Research Consortium)|Dalla Lana School of Public Health, University of Toronto
Author Email
Email of the author.
info@canue.ca
Accessed At
Date the data and metadata was accessed.
2023-09-18
Field Value
Identifier
Unique identifier for the dataset.
16
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
No
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
No
Contains data about individuals
Does the data hold data about individuals?
N/A
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
N/A
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Field Value
Source
Source of the dataset.
https://www150.statcan.gc.ca/n1/pub/17-26-0002/172600022020001-eng.htm
Version notes
Version notes about the dataset.
Is version of another dataset
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Other versions
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Provenance Text
Provenance Text of the data.
Provenance URL
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Temporal resolution
Describes how granular the date/time data in the dataset is.
NaN
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
NoData = -9999 (for numeric fields) - NoData=null (for category fields) - Data insufficient to calculate value = -1111
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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