Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Using geostatistics and spectral analysis to study spatial patterns in the topography of southeastern Washington State, U.S.A.
David J. Mulla
Soil, Water, and Climate
Research output
:
Contribution to journal
›
Article
›
peer-review
39
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Using geostatistics and spectral analysis to study spatial patterns in the topography of southeastern Washington State, U.S.A.'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Spectral Analysis
100%
Washington State
100%
Geostatistical Analysis
100%
Semivariogram
80%
Landscape Features
60%
Non-periodic
40%
Lacrosse
40%
Ridge System
40%
Thorntons
40%
Dominant Direction
40%
Periodic Feature
40%
Semivariogram Analysis
40%
Topographic Patterns
20%
Quadrangle
20%
Topographic Maps
20%
Surface Topography
20%
Spherical Component
20%
Palouse
20%
Periodogram
20%
Correlation Scale
20%
Semi-variance
20%
Semivariogram Model
20%
Periodic Correlation
20%
Earth and Planetary Sciences
United States of America
100%
Washington
100%
Spectrum Analysis
100%
Geostatistical Analysis
100%
Harmonics
20%
Engineering
Semivariogram
100%
Periodogram
14%
Harmonics
14%