BC Wildfire Wildland Urban Interface Risk Class

A structure density feature class from the 2020 Wildland Urban Interface project was used as the starting point for this feature class. Only density polygons of class 3 or greater were used. These are 25 or more structures per square kilometer.

The structure density polygons were buffered at 2.75km and merged to create polygons where the structure density was greater than or equal to 25 structures per square kilometer. These polygons were spatially joined to a point communities feature class and a community name was transferred to the polygons. Where multiple communities were within the same polygon a priority system based mainly on community size was used to determine a community name. Where no community was within the polygon a near process was run to determine the closest community. Where discrete polygons had the same community name a unique value was appended to the name to make all the names unique.

In the densely populated urban areas the polygons were very large and enclosed multiple communities. In these cases a manual process of splitting the polygons was used to create smaller community polygons.

The result is a feature class of 574 community polygons with unique names.

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• PSTA
• WUI
• WUI Risk Class
• Wildfire
• Wildland Urban...

Additional Info

• Maturity Level 1 (46%)
• Maturity Level 2 (38%)
• Maturity Level 3 (0%)
• Maturity Level 4 (10%)
• Maturity Level 5 (0%)
• Maturity Level 6 (0%)

Field	Value
Last Updated	October 19, 2025, 23:24 (UTC)
Created	October 19, 2025, 23:24 (UTC)
Domain / Topic Domain or topic of the dataset being cataloged.
Title Title for the Dataset.	BC Wildfire Wildland Urban Interface Risk Class
Description A description of the dataset.	A structure density feature class from the 2020 Wildland Urban Interface project was used as the starting point for this feature class. Only density polygons of class 3 or greater were used. These are 25 or more structures per square kilometer. The structure density polygons were buffered at 2.75km and merged to create polygons where the structure density was greater than or equal to 25 structures per square kilometer. These polygons were spatially joined to a point communities feature class and a community name was transferred to the polygons. Where multiple communities were within the same polygon a priority system based mainly on community size was used to determine a community name. Where no community was within the polygon a near process was run to determine the closest community. Where discrete polygons had the same community name a unique value was appended to the name to make all the names unique. In the densely populated urban areas the polygons were very large and enclosed multiple communities. In these cases a manual process of splitting the polygons was used to create smaller community polygons. The result is a feature class of 574 community polygons with unique names.
Tags / Keywords Keywords/tags categorizing the dataset.	PSTA WUI WUI Risk Class Wildfire Wildland Urban...
Format (CSV, XLS, TXT, PDF, etc) File format of the dataset.
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.	2019-12-18
Time Period Data Span (start date) Start date of the data in the dataset.
Time Period Data Span (end date) End date of time data in the dataset.
GeoSpatial Area Data Span A spatial region or named place the dataset covers.

Field	Value
Access category Type of access granted for the dataset (open, closed, service, etc).
License License used to access the dataset.	Access Only
Limits on use Limits on use of data.
Location Location of the dataset.	https://catalogue.data.gov.bc.ca/dataset/bc-wildfire-wildland-urban-interface-risk-class
Data Service Data service for accessing a dataset.
Owner Owner of the dataset.	BC Wildfire Service
Contact Point Who to contact regarding access?	Devona Hay
Contact Point Email The email to contact regarding access?	[email protected]
Publisher Publisher of the dataset.
Publisher Email Email of the publisher.
Author Author of the dataset.
Author Email Email of the author.
Accessed At Date the data and metadata was accessed.

Field	Value
Identifier Unique identifier for the dataset.
Language Language(s) of the dataset
Link to dataset description A URL to an external document describing the dataset.
Persistent Identifier Data is identified by a persistent identifier.
Globally Unique Identifier Data is identified by a persistent and globally unique identifier.
Contains data about individuals Does the data hold data about individuals?
Contains data about identifiable individuals Does the data hold identifiable data about individual?
Contains Indigenous Data Does the data hold data about Indigenous communities?
Portal Type Platform type of the source portal.

Field	Value
Version Version of the datatset	None
Source Source of the dataset.
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.	The feature class was created in June 2021 using the 2021 PSTA Threat and 2020 WUI data.
Provenance URL Provenance URL of the data.
Temporal resolution Describes how granular the date/time data in the dataset is.
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.
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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