mar-2021
GIS: Beyond the dashboards you see In 2020, dashboards hit the news when the Johns Hopkins University COVID-19 Dashboard became an essential information source for users around the globe. Thanks to the work of the researchers at Johns Hopkins, people and organizations can quickly and easily get up-to-date facts about the pandemic. But GIS is far beyond dashboards. It's an entire geospatial toolbox. Researchers use it to visualize, analyze and combine datasets in new ways. They can use it to see the world's most pressing problems from different angles. The real value of GIS is that it helps us to ask the right questions. More than that, it helps us to think better. Geographic and Temporal Distribution of COVID-19 in Québec Map showing covid19 distribution in quebec Month: March 2021Organization: Laval UniversityProducts: ArcGIS Pro, ArcGIS Dashboards, R, Adobe Illustrator This map was inspired by a dashboard on the geographic and temporal distribution of COVID-19 in Québec. The tool allows visualization of refined and current data, makes a large amount of information accessible and offers several interactive features. Since more geographic data is now accessible, the dashboard makes it possible to choose the scale of representation. It allows for a better understanding of COVID-19 repercussions and the measures put in place by the government. The map presented here allows us to relate the geographic distribution of COVID-19 in the greater Montréal area and the material deficiency of living environments. This researcher used GIS to see COVID-19 in Québec in new ways By reframing information in a spatial context, GIS can help people see which questions need to be asked about a given problem. For example, March 2021’s map creator used GIS to fill a gap in Québec’s public health landscape when he realized that nothing like the Johns Hopkins dashboard existed for Québec yet. Benoît Lalonde, a health geographer and applied projects and research lead at Université Laval, used GIS to answer his own questions about case numbers, which then inspired him to ask further questions about COVID-19’s relationship to socioeconomic status and lifestyle. Watch the video to hear about the project from Benoît himself. Geographic and Temporal Distribution of COVID-19 in Québec Explore more research-driven analytics applications The resources below show how you can leverage GIS to answer in-depth questions about COVID-19, using Toronto as an example. They fuse location analytics with open data science and help researchers answer questions whose answers are only unveiled when put in geographical context. Are there more COVID-19 outbreaks in areas with a higher risk of gang activity? Click on the picture below to see the full analysis. City of Toronto COVID-19 Cases in relation to potential Gang (Risk) Areas How are Toronto neighbourhoods experiencing COVID-19 outbreaks differently? Click on the pictures below to see the full analysis. GIS data and resources COVID-19 Case Data: Includes COVID-19 cases, vaccination data and recovery data by province. Sourced from provincial government open data, compiled by Esri Canada, updated daily Benoît Lalonde talks about his dashboard [Video in French]
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Additional Info
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| Last Updated | March 25, 2026, 02:21 (UTC) |
| Created | March 25, 2026, 02:21 (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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mar-2021 |
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Description
A description of the dataset.
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GIS: Beyond the dashboards you see In 2020, dashboards hit the news when the Johns Hopkins University COVID-19 Dashboard became an essential information source for users around the globe. Thanks to the work of the researchers at Johns Hopkins, people and organizations can quickly and easily get up-to-date facts about the pandemic. But GIS is far beyond dashboards. It's an entire geospatial toolbox. Researchers use it to visualize, analyze and combine datasets in new ways. They can use it to see the world's most pressing problems from different angles. The real value of GIS is that it helps us to ask the right questions. More than that, it helps us to think better. Geographic and Temporal Distribution of COVID-19 in Québec Map showing covid19 distribution in quebec Month: March 2021Organization: Laval UniversityProducts: ArcGIS Pro, ArcGIS Dashboards, R, Adobe Illustrator This map was inspired by a dashboard on the geographic and temporal distribution of COVID-19 in Québec. The tool allows visualization of refined and current data, makes a large amount of information accessible and offers several interactive features. Since more geographic data is now accessible, the dashboard makes it possible to choose the scale of representation. It allows for a better understanding of COVID-19 repercussions and the measures put in place by the government. The map presented here allows us to relate the geographic distribution of COVID-19 in the greater Montréal area and the material deficiency of living environments. This researcher used GIS to see COVID-19 in Québec in new ways By reframing information in a spatial context, GIS can help people see which questions need to be asked about a given problem. For example, March 2021’s map creator used GIS to fill a gap in Québec’s public health landscape when he realized that nothing like the Johns Hopkins dashboard existed for Québec yet. Benoît Lalonde, a health geographer and applied projects and research lead at Université Laval, used GIS to answer his own questions about case numbers, which then inspired him to ask further questions about COVID-19’s relationship to socioeconomic status and lifestyle. Watch the video to hear about the project from Benoît himself. Geographic and Temporal Distribution of COVID-19 in Québec Explore more research-driven analytics applications The resources below show how you can leverage GIS to answer in-depth questions about COVID-19, using Toronto as an example. They fuse location analytics with open data science and help researchers answer questions whose answers are only unveiled when put in geographical context. Are there more COVID-19 outbreaks in areas with a higher risk of gang activity? Click on the picture below to see the full analysis. City of Toronto COVID-19 Cases in relation to potential Gang (Risk) Areas How are Toronto neighbourhoods experiencing COVID-19 outbreaks differently? Click on the pictures below to see the full analysis. GIS data and resources COVID-19 Case Data: Includes COVID-19 cases, vaccination data and recovery data by province. Sourced from provincial government open data, compiled by Esri Canada, updated daily Benoît Lalonde talks about his dashboard [Video in French] |
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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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5831.04 |
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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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2021-02-18 |
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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://map-calendar-esricanada.hub.arcgis.com/datasets/EsriCanada::mar-2021 |
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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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[email protected]_EsriCanada |
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Contact Point
Who to contact regarding access?
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Esri Canada |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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Esri Canada |
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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[email protected]_EsriCanada |
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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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2021-10-20 |
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Identifier
Unique identifier for the dataset.
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8af7c5a8fbd04b189fd65858ffa246e6 |
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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://map-calendar-esricanada.hub.arcgis.com/datasets/EsriCanada::mar-2021 |
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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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Esri Canada |
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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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