Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/36893
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Type: Journal article
Title: Testing for constant spatial mean using the global D-statistic
Author: Pardo-Iguzquiza, E.
Dowd, P.
Citation: Computers and Geosciences, 2003; 29(8):1057-1068
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2003
ISSN: 0098-3004
Statement of
Responsibility: 
Eulogio Pardo-Igúzquiza and Peter A. Dowd
Abstract: The authors introduce the D-statistic for testing for a constant spatial mean in geostatistical applications, i.e. testing for the presence or absence of a global drift. The D-statistic can be calculated with sparse data and for different directions and a statistical test of hypothesis of constant spatial mean has been designed using the global standardized D-statistic. If, for a given data set, the null hypothesis of constant mean cannot be accepted, a model with a (non-constant) drift would be more appropriate. The estimated confidence level and estimated power of the D-statistic hypothesis test is studied using Monte Carlo simulation, with different assumptions about the random field, the drift, the scale of variability of the drift and the number of experimental data (i.e. sample size). Case studies are provided to illustrate the application and interpretation of the results. The Fortran computer program D2STAT2D is provided for calculating the standardized global D-statistic from sparse data in the plane.
Keywords: D-statistic
Semi-variogram
Drift
Second-order stationarity
Hypothesis test
Confidence interval
Power
Log transmissivity
Rainfall
Modified mercalli intensity
Description: Copyright © 2003 Elsevier Ltd
DOI: 10.1016/S0098-3004(03)00095-5
Description (link): http://www.sciencedirect.com/science/journal/00983004
Appears in Collections:Aurora harvest 6
Civil and Environmental Engineering publications

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