Using trend surface methodology to compare spatial surfaces

Dale Zimmerman; Zhi-Jun Liu; George Hallberg; H. Todd Mowrer; Raymond L. Czaplewski; R. H. Hamre

doi:10.2737/RM-GTR-277

Back

Using trend surface methodology to compare spatial surfaces

Journal article

Open access

Using trend surface methodology to compare spatial surfaces

Dale Zimmerman, Zhi-Jun Liu, George Hallberg, H. Todd Mowrer, Raymond L. Czaplewski and R. H. Hamre

General Technical Report RM, pp.129-136

Second international symposium on Spatial accuracy assessment in natural resources and environmental sciences

05/1996

DOI: 10.2737/RM-GTR-277

Files and links (1)

url

https://doi.org/10.2737/RM-GTR-277View

Published (Version of record) Open Access

Abstract

Trend surface analysis is a very popular method for describing spatial data. When data on more than one response variable are available, it is generally desirable to compare the corresponding fitted surfaces obtained by trend surface analysis. Existing methods for such comparisons have serious deficiencies. The objective of this article is to develop statistically valid techniques for such comparisons which retain the familiarity and relative simplicity of trend surface analysis. In particular, we develop tests for surface parallelism and surface coincidence. The methods are illustrated by applying them to groundwater quality data from an aquifer in northeast Iowa.

United States

Water Quality

aquifers

Big Spring Basin

Clayton County Iowa

concentration

environmental analysis

Environmental geology

Galena Aquifer

geostatistics

ground water

Iowa

nitrate ion

northeastern Iowa

pollutants

pollution

recharge

solute transport

spatial data

statistical analysis

trend-surface analysis

Details

Title: Subtitle: Using trend surface methodology to compare spatial surfaces
Creators: Dale Zimmerman - University of Iowa
Zhi-Jun Liu
George Hallberg
H. Todd Mowrer - Rocky Mountain Forest and Range Experiment Station Fort Collins, CO USA United States
Raymond L. Czaplewski
R. H. Hamre
Resource Type: Journal article
Publication Details: General Technical Report RM, pp.129-136
Conference: Second international symposium on Spatial accuracy assessment in natural resources and environmental sciences
Publisher: U. S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station
DOI: 10.2737/RM-GTR-277
ISSN: 0277-5786
Alternative title: Spatial accuracy assessment in natural resources and environmental sciences; second international symposium
Language: English
Date published: 05/1996
Academic Unit: Biostatistics; Statistics and Actuarial Science
Record Identifier: 9984257723902771

Metrics

11 Record Views