About the Developers
Our Team Three geography students are coming together to promote climate resilience in the face of extreme heat events. The Clever Cartographers have diverse backgrounds in geography, geomatics, statistics, and public health. The Clever Cartographers aims to help the municipality of Toronto and Toronto residents understand the sustainable resources that Toronto provides to residents in climate emergencies. Elysia Fuller-Thomson, MSc Student Community Elysia Fuller-Thomson, MSc Student Elysia is a first-year masters student in Geography and Planning at the University of Toronto. She researches common air pollutants (nitrogen oxides, ozone, sulphur dioxide, and benzene) in a city of diverse pollutant sources, Hamilton, ON. In collaboration with the City of Hamilton and Environment Hamilton, Elysia implements field sampling, laboratory analysis, and land use regression modelling in order to gather ward-level and subpopulation specific observations to better understand which regions and what socioeconomic categories are most impacted by local air pollution exposure. In her free time, Elysia loves to explore the city and country around her by foot, bike, canoe, and much more! Amanda Norton, PhD Student Amanda Norton, PhD Student My research is focused on methods measuring spatial health exposures. I hypothesize that individuals living in urban areas with increased socioeconomic disadvantage are at a higher risk of air pollutant (NO2 and PM2.5) exposure and that these disparities can be more effectively modelled through improved exposure measurements at small spatial resolutions. To answer the question of disproportionate poor air quality exposure risk, I have two aims: 1) to define and identify socioeconomic disadvantage and 2) to define, measure, and model air pollutant exposure. As I develop measurement methods that best capture these two interacting health exposures, I will utilize novel modelling methods to reduce exposure measurement error. Scarlett Rakowska, MSc Student Scarlett Rakowska, MSc Student Scarlett Rakowska is a masters student interested in the microscale urban heat island (UHI) effect on active transportation. The objective of this research is to look at the UHI effect to investigate if we can predict heat exposure on active transportation using remote sensing techniques. Land Surface Temperature (LST) methods and meteorological data were collected in real-time using the Normalized Difference Vegetation Index (NDVI) in specific routes involving various surface materials and vegetation in the Greater Toronto Hamilton Area (GTHA). My research will contribute and improve planning in cities through remote sensing to help understand the relationship between exercise/activity and heat health effects on active transportation.
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Additional Info
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| Last Updated | March 24, 2026, 22:47 (UTC) |
| Created | March 24, 2026, 22:47 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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About the Developers |
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Description
A description of the dataset.
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Our Team Three geography students are coming together to promote climate resilience in the face of extreme heat events. The Clever Cartographers have diverse backgrounds in geography, geomatics, statistics, and public health. The Clever Cartographers aims to help the municipality of Toronto and Toronto residents understand the sustainable resources that Toronto provides to residents in climate emergencies. Elysia Fuller-Thomson, MSc Student Community Elysia Fuller-Thomson, MSc Student Elysia is a first-year masters student in Geography and Planning at the University of Toronto. She researches common air pollutants (nitrogen oxides, ozone, sulphur dioxide, and benzene) in a city of diverse pollutant sources, Hamilton, ON. In collaboration with the City of Hamilton and Environment Hamilton, Elysia implements field sampling, laboratory analysis, and land use regression modelling in order to gather ward-level and subpopulation specific observations to better understand which regions and what socioeconomic categories are most impacted by local air pollution exposure. In her free time, Elysia loves to explore the city and country around her by foot, bike, canoe, and much more! Amanda Norton, PhD Student Amanda Norton, PhD Student My research is focused on methods measuring spatial health exposures. I hypothesize that individuals living in urban areas with increased socioeconomic disadvantage are at a higher risk of air pollutant (NO2 and PM2.5) exposure and that these disparities can be more effectively modelled through improved exposure measurements at small spatial resolutions. To answer the question of disproportionate poor air quality exposure risk, I have two aims: 1) to define and identify socioeconomic disadvantage and 2) to define, measure, and model air pollutant exposure. As I develop measurement methods that best capture these two interacting health exposures, I will utilize novel modelling methods to reduce exposure measurement error. Scarlett Rakowska, MSc Student Scarlett Rakowska, MSc Student Scarlett Rakowska is a masters student interested in the microscale urban heat island (UHI) effect on active transportation. The objective of this research is to look at the UHI effect to investigate if we can predict heat exposure on active transportation using remote sensing techniques. Land Surface Temperature (LST) methods and meteorological data were collected in real-time using the Normalized Difference Vegetation Index (NDVI) in specific routes involving various surface materials and vegetation in the Greater Toronto Hamilton Area (GTHA). My research will contribute and improve planning in cities through remote sensing to help understand the relationship between exercise/activity and heat health effects on active transportation. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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3642.17 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2022-02-22 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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public |
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License
License used to access the dataset.
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License not specified |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://clever-cartophers-toronto-heat-response-utoronto.hub.arcgis.com/datasets/867b238da6f2453587eea3bd663952e9 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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nortonam_utoronto |
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Contact Point
Who to contact regarding access?
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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nortonam_utoronto |
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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2022-02-23 |
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Identifier
Unique identifier for the dataset.
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867b238da6f2453587eea3bd663952e9 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://clever-cartophers-toronto-heat-response-utoronto.hub.arcgis.com/datasets/867b238da6f2453587eea3bd663952e9 |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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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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