Gentrification, Urban Interventions, and Equity (GENUINE_techrguide.pdf)

The Gentrification, Urban Interventions, and Equity (GENUINE) Tool is a map-based gentrification tool for Canadian metro areas. The primary envisioned use for GENUINE is policy evaluation and research studies that assess the potential health and societal impacts of gentrification processes. Accompanying maps for each Census Metropolitan Area (CMA) are published online. The mapping platform simultaneously shows four gentrification measures for each CMA, facilitating comparisons between measures. We developed GENUINE to integrate gentrification measures relevant to the Canadian context, adapting four published gentrification measures that have been applied to U.S. and Canadian census data. We computed these measures for all 36 Canadian CMAs to illustrate where gentrification occurred between 2006 and 2016. The GENUINE data were developed by Caislin Firth, Benoit Thierry, Daniel Fuller, Meghan Winters, and Yan Kestens, as part of the gentrification workgroup of INTErventions, Research, and Action in Cities Team with funding from the Canadian Institutes of Health Research. GENUINE measures have been developed using 2006 and 2016 census tract areas to identify areas that have gentrified by 2016. Please refer to the Technical Document for methods used to calculate each gentrification measure. GENUINE data were linked to all 2016 six-digit DMTI spatial single link postal code locations in Canada by CANUE staff. NOTE: all postal codes within a Census Tract are assigned the same value. Summing data is not appropriate. Original census tract data can be downloaded directly from links provided in the technical documentation.

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Additional Info

Field Value
Last Updated August 20, 2024, 23:37 (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.
.pdf - application/pdf
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.
2020-04-01
Time Period Data Span (start date)
Start date of the data in the dataset.
2016-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2016-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Canada
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.
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.
18
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://canue.ca/wp-content/uploads/2020/10/GENUINE-tech-guide.pdf
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
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
Once
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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