Integrating fine-scale soil data into species distribution models : preparing soil survey geographic (SSURGO) data from multiple counties / Matthew P. Peters [and three others].

Format:

Book

Government document

Author/Creator:

Peters, Matthew P., author.

Contributor:

United States. Forest Service. Northern Research Station, issuing body.

Series:

General technical report NRS ; 122.

General technical report NRS ; 122

Language:

English

Subjects (All):

Soils--East (U.S.)--Classification--Data processing.

Soils.

Soils--East (U.S.)--Composition--Data processing.

East United States.

Genre:

Classification.

technical reports.

Technical reports

Technical reports.

Physical Description:

1 online resource (70 pages) : color illustrations.

Place of Publication:

Newtown Square, PA : United States Department of Agriculture, Forest Service, Northern Research Station, November 2013.

Summary:

Fine-scale soil (SSURGO) data were processed at the county level for 37 states within the eastern United States, initially for use as predictor variables in a species distribution model called DISTRIB II. Values from county polygon files converted into a continuous 30-m raster grid were aggregated to 4-km cells and integrated with other environmental and site condition values for use in the DISTRIB II model. In an effort to improve the prediction accuracy of DISTRIB II over our earlier version of DISTRIB, fine-scale soil attributes replaced those derived from coarse-scale soil (STATSGO) data. The methods used to prepare and process the SSURGO data are described and geoprocessing scripts are provided.

Notes:

Title from Web page (viewed on Jan. 14, 2014).

"November 2013."

Includes bibliographical references (pages 16-17).

Other Format:

Print version: Peters, Matthew P. Integrating fine-scale soil data into species distribution models

OCLC:

868077355