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Comparing Land Facet Methodologies in the Columbia Plateau

Comparing Land Facet Methodologies in the Columbia Plateau

Dec 20, 2012

Uploaded by Jennifer McGuire

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Description:

These layers each depict one suite of methodological choices for designating land facets. Scroll through them to see how different choices affect land facet patterns.

Methodological choices:

Resolution: 1km or 270m

Categorization approach:

Categorical overlay- each variable is categorized into ecologically meaningful classes. Land facets are created from unique combinations of those classes.
K-means clustering- an algorithm clusters the continuous variables into a designated number of facets. The Hartigan index was used to identify the optimal number of facets.
Hybrid approach- a combination of the categorical overlay and a clustering method. Topographic data were categorized, and within each topographic class all other variables were clustered using a fuzzy c-means algorithm

Variable selection:

Topographic variables

Elevation
Slope

Soil variables

organic matter
bulk density
soil horizon depth
accumulated water content

Geology (categorized into 9 types of geological groupings after Anderson)

Normalization: variables normalized (where necessary) within ecoregion or across 14 NW ecoregions

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Data Provided By:: Carrie Schloss
Jenny McGuire

Joshua Lawler

Content date:: not specified

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Jennifer McGuire

Use Constraints:: This work is licensed under a Creative Commons Attribution 3.0 License.

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Dataset Type:: Layer Package

Tags:: land facets, clustering, diversity, abiotic, landscape

Downloaded by 4 Members

Bookmarked by 3 Groups

Included in 1 Public Gallery

Gallery
Columbia Plateau Conservation Columbia Plateau Conservation
Wildlife & Natural Habitats gallery for the Washington Columbia Plateau Least-Conflict Solar Siting Gateway.

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About the Uploader

Jennifer McGuire

Postdoctoral Research Associate with University of Washington

I am a landscape ecologist in Joshua Lawler's Lab