Corporate Landuse Inventory 2010
Corporate Landuse Inventory 2010 from https://data.princeedwardisland.ca/.
The 2010 Corporate Landuse Inventory (CLUI) is a comprehensive multi-disciplinary land inventory for Prince Edward Island (PEI) circa 2010. The 2010 CLUI is an update of the polygon and attributes of the 2000 CLUI. Updates were created by interpretation of aerial photography collected in August 2010 at a scale of 1:10,000. The entire province of PEI was classified into the following landuse or land cover categories: forest, agriculture, wetland, non-evident, transportation, residential, industrial, institutional, commercial, urban, and recreational. The total area including land and fresh water is approximately 569,290 hectares (ha). No new forest stands less than 0.5 ha, and no new wetlands less than 0.25 ha were delineated. Attributes: FIELDID: Unique polygon number. LANDUSE: Dominant land use category. SUBUSE: Land use subcategory. COVER1: dominant land cover type. PER1: Percentage of the dominant land cover. COVER2: Land cover type which is second most abundant. PER2: Percentage of second land cover type. COVER3: Land cover type which is third most abundant. PER3: Percentage of third land cover type. COVER4: Land cover type which is fourth most abundant. PER4: Percentage of fourth land cover type. COVER5: Land cover type which is fifth most abundant. PER5: Percentage of fifth land cover type. HEIGHT: Average height of trees in meters. CROWN: Percentage density of tree crowns in polygon. SITE: A description of the ground surface for forest polygons where evident. HISTORY1: Interpreted historical land use. HISTORY2: Interpreted historical land use. DEFOILIATI: Percentage of trees which are defoliated. YEAR_: Inventory year. HECTARES: Polygon size in hectares. CLASS1: Dominant wetland cover type. WET_PER1: Percentage of the dominant land cover type. CLASS2: Wetland cover type which is second most abundant. WET_PER2: Percentage of second wetland cover type. CLASS3: Wetland cover type which is third most abundant. WET_PER3: Percentage of third wetland cover type. CLASS4: Wetland cover type which is fourth most abundant. WET_PER4: Percentage of fourth wetland cover type. CLASS5: Wetland cover type which is fifth most abundant. WET_PER5: Percentage of fifth wetland cover type. CLASS6: Wetland cover type which is sixth most abundant. WET_PER6: Percentage of sixth wetland cover type. CLASS7: Wetland cover type which is seventh most abundant. WET_PER7: Percentage of seventh wetland cover type. COVER: The amount and distribution of vegetative subclasses throughout the wetland. INTERSPERS: Degree of vegetation interspersion in the polygon. IMPOUNDMEN: Type of impoundment which contributes to the presence of the wetland. BEAVER: Number of visibly active beaver dams in a wetland. BEAVER0: Number of visibly inactive beaver dams in a wetland. NO_WET_SUB: Number of vegetation subclasses in a wetland. STOCKING: The percentage of the polygon occupied by commercial tree species. DEV_STAGE: Development stage of forest polygons. WOODSTOCK: Generalized forest cover type based on species composition.Datasets available for download
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Corporate Landuse Inventory 2010Feature Layer
Layer 0 via ArcGIS REST API
Additional Info
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| Last Updated | June 16, 2026, 18:07 (UTC) |
| Created | March 24, 2026, 21:46 (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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Corporate Landuse Inventory 2010 |
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Description
A description of the dataset.
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Corporate Landuse Inventory 2010 from https://data.princeedwardisland.ca/. The 2010 Corporate Landuse Inventory (CLUI) is a comprehensive multi-disciplinary land inventory for Prince Edward Island (PEI) circa 2010. The 2010 CLUI is an update of the polygon and attributes of the 2000 CLUI. Updates were created by interpretation of aerial photography collected in August 2010 at a scale of 1:10,000. The entire province of PEI was classified into the following landuse or land cover categories: forest, agriculture, wetland, non-evident, transportation, residential, industrial, institutional, commercial, urban, and recreational. The total area including land and fresh water is approximately 569,290 hectares (ha). No new forest stands less than 0.5 ha, and no new wetlands less than 0.25 ha were delineated. Attributes: FIELDID: Unique polygon number. LANDUSE: Dominant land use category. SUBUSE: Land use subcategory. COVER1: dominant land cover type. PER1: Percentage of the dominant land cover. COVER2: Land cover type which is second most abundant. PER2: Percentage of second land cover type. COVER3: Land cover type which is third most abundant. PER3: Percentage of third land cover type. COVER4: Land cover type which is fourth most abundant. PER4: Percentage of fourth land cover type. COVER5: Land cover type which is fifth most abundant. PER5: Percentage of fifth land cover type. HEIGHT: Average height of trees in meters. CROWN: Percentage density of tree crowns in polygon. SITE: A description of the ground surface for forest polygons where evident. HISTORY1: Interpreted historical land use. HISTORY2: Interpreted historical land use. DEFOILIATI: Percentage of trees which are defoliated. YEAR_: Inventory year. HECTARES: Polygon size in hectares. CLASS1: Dominant wetland cover type. WET_PER1: Percentage of the dominant land cover type. CLASS2: Wetland cover type which is second most abundant. WET_PER2: Percentage of second wetland cover type. CLASS3: Wetland cover type which is third most abundant. WET_PER3: Percentage of third wetland cover type. CLASS4: Wetland cover type which is fourth most abundant. WET_PER4: Percentage of fourth wetland cover type. CLASS5: Wetland cover type which is fifth most abundant. WET_PER5: Percentage of fifth wetland cover type. CLASS6: Wetland cover type which is sixth most abundant. WET_PER6: Percentage of sixth wetland cover type. CLASS7: Wetland cover type which is seventh most abundant. WET_PER7: Percentage of seventh wetland cover type. COVER: The amount and distribution of vegetative subclasses throughout the wetland. INTERSPERS: Degree of vegetation interspersion in the polygon. IMPOUNDMEN: Type of impoundment which contributes to the presence of the wetland. BEAVER: Number of visibly active beaver dams in a wetland. BEAVER0: Number of visibly inactive beaver dams in a wetland. NO_WET_SUB: Number of vegetation subclasses in a wetland. STOCKING: The percentage of the polygon occupied by commercial tree species. DEV_STAGE: Development stage of forest polygons. WOODSTOCK: Generalized forest cover type based on species composition. |
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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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349512.0 |
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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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2024-04-24 |
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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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Open Government License |
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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://data-princeedwardisland-peigov.hub.arcgis.com/datasets/0e4238558ec141039d118009fa3bbb5f |
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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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gpei_mrmacmillan |
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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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gpei_mrmacmillan |
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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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2026-05-26 |
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Identifier
Unique identifier for the dataset.
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0e4238558ec141039d118009fa3bbb5f |
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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://data-princeedwardisland-peigov.hub.arcgis.com/datasets/0e4238558ec141039d118009fa3bbb5f |
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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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174944 |
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Number of data columns
If tabular dataset, total number of unique columns.
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54 |
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Number of data cells
If tabular dataset, total number of cells with data.
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9446976 |
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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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