ENVIRON 352 - Spatial Analysis for Ecologists

Institution:

Duke University

Subject:

Environment

Description:

Descriptive and inferential statistics for spatial data as encountered in community and landscape ecology. Course covers spatial point patterns (e.g., clustering in plant communities), geostatistical samples (e.g., species-environment relationships inferred from spatially distributed samples), and lattices (e.g., maps, networks). Emphasis on hands-on applications with ecological data sets. Students may analyze their own datasets as a term project. Prerequisites: Introductory statistics, basic ecology, or consent of instructor. Taught in alternate, odd-numbered years, spring semester. Instructor: Urban

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.DUKE.EDU

Phone Number:

(919) 684-8111

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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