Zoning By Law 2009-189

The dataset titled "Zoning By Law 2009-189" falls under the domain of Boundaries and is tagged with keywords such as Development Feasibility, Housing Potential, and land-use framework boundaries. It is available in various formats including CSV, GeoJSON, SHP, KML, and ZIP. The dataset, which is 2MB in size, is identified by the metadata identifier "/datasets/ExploreOakville::zoning-by-law-2009-189-2/about". It was published on June 7, 2022, and the data spans from April 6, 2023, to January 15, 2025, covering the geospatial area of Oakville. The dataset is open for access and is located in the Town of Oakville, with ArcGIS as the data service. The owner, contact point, publisher, and author of the dataset is the Town of Oakville, and they can be contacted at maps@oakville.ca.

The dataset was accessed on March 25, 2025, and is in English. It has a persistent and globally unique identifier but does not contain data about individuals, identifiable individuals, or Indigenous communities. It is a version of another dataset available at a provided link. The dataset has an irregular temporal resolution and its geospatial resolution is in meters and covers the city region. It consists of 75 rows, 15 columns, and 1,125 data cells. The dataset provides a comprehensive zoning by-law applying to all properties north of Dundas Street and south of Highway 407 in North Oakville. The dataset is licensed under the Town of Oakville Open Data License and includes resources such as 'Zoning_By_Law_2009-189.csv', 'Zoning_By_Law_2009-189.gdb.zip', 'Zoning_By_Law_2009-189.geojson', and 'Zoning_By_Law_2009-189.kml'. The metadata was created on March 26, 2025, and last modified on March 28, 2025.

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Additional Info

Field Value
Last Updated March 31, 2025, 13:13 (UTC)
Created March 26, 2025, 02:43 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Boundaries
Description
A description of the dataset.

North Oakville Zoning By-law 2009-189 is the comprehensive zoning by-law applying to all properties north of Dundas Street and south of Highway 407.

North Oakville Zoning By-law 2009-189 is the comprehensive zoning by-law applying to all properties north of Dundas Street and south of Highway 407. It is the rule book controlling how land and buildings are used, the location of buildings on a lot, building heights, and other provisions necessary to ensure proper development. It was created as part of the planning process for North Oakville to implement the North Oakville Secondary Plans. Remaining lands in Oakville are covered by Zoning By-law 2014-014.

Tags
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv, application/geo+json, application/vnd.shp, .kml - application/vnd.google-earth.kml+xml, .zip - application/zip
Dataset Size
Dataset size in megabytes.
2
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
/datasets/ExploreOakville::zoning-by-law-2009-189-2/about
Published Date
Published date of the dataset.
2022-06-07
Time Period Data Span (start date)
Start date of the data in the dataset.
2023-04-06
Time Period Data Span (end date)
End date of time data in the dataset.
2025-01-15
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Oakville
chatgpt_summary The dataset titled "Zoning By Law 2009-189" falls under the domain of Boundaries and is tagged with keywords such as Development Feasibility, Housing Potential, and land-use framework boundaries. It is available in various formats including CSV, GeoJSON, SHP, KML, and ZIP. The dataset, which is 2 MB in size, is identified by the metadata identifier "/datasets/ExploreOakville::zoning-by-law-2009-189-2/about". It was published on June 7, 2022, and the data spans from April 6, 2023, to January 15, 2025. The geospatial data covers the area of Oakville and is accessible under the Open category. The dataset is owned by the Town of Oakville and can be accessed through the ArcGIS data service. The dataset does not contain data about individuals or Indigenous communities. It is a version of another dataset available at a provided URL. The temporal resolution of the data is irregular, and the geospatial resolution is measured in esriMeters and spans the city region. The dataset comprises 75 rows and 15 columns, totaling 1,125 data cells. The dataset provides a comprehensive zoning by-law applying to all properties north of Dundas Street and south of Highway 407 in Oakville. It is used to control land and building use, building locations, heights, and other provisions necessary for proper development. The dataset is licensed under the Town of Oakville Open Data License and includes resources such as 'Zoning_By_Law_2009-189.csv', 'Zoning_By_Law_2009-189.gdb.zip', 'Zoning_By_Law_2009-189.geojson', and 'Zoning_By_Law_2009-189.kml'. The metadata was created and last modified on March 26, 2025.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
Town of Oakville Open Data License
Limits on use
Limits on use of data.
Town of Oakville Open Data License
Location
Location of the dataset.
Oakville
Data Service
Data service for accessing a dataset.
ArcGIS
Owner
Owner of the dataset.
Town of Oakville
Contact Point
Who to contact regarding access?
Oakville_GIS
Contact Point Email
The email to contact regarding access?
maps@oakville.ca
Publisher
Publisher of the dataset.
Town of Oakville
Publisher Email
Email of the publisher.
maps@oakville.ca
Author
Author of the dataset.
Oakville_GIS
Author Email
Email of the author.
maps@oakville.ca
Accessed At
Date the data and metadata was accessed.
2025-03-25
Field Value
Identifier
Unique identifier for the dataset.
/datasets/ExploreOakville::zoning-by-law-2009-189-2/about
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://utoronto.maps.arcgis.com/sharing/rest/content/items/1ed2256eb6d04caea4c9c799aed2cff3/info/metadata/metadata.xml?format=default&output=html
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
No
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
No
Field Value
Source
Source of the dataset.
https://portal-exploreoakville.opendata.arcgis.com/datasets/ExploreOakville::zoning-by-law-2009-189-2/about
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
https://utoronto.maps.arcgis.com/home/item.html?id=1ed2256eb6d04caea4c9c799aed2cff3
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.
Irregular
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
esriMeters
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
City
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.
75
Number of data columns
If tabular dataset, total number of unique columns.
15
Number of data cells
If tabular dataset, total number of cells with data.
1,125
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.
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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