Spatial statistics: Analysis of field experiments

By Jay M. Ver Hoef, Noel Cressie. 2001

47 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0f7ede7c96886382cab73c0e70bd08d41dfa5344

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Marie-Josée Fortin
2. M. Dale
3. E. A. Lenart
4. R. Terry Bowyer
5. R. Ruess
6. Jay M. Ver Hoef
7. Carsten F. Dormann
8. Terry Bowyer

Citations in the corpus

• Spatial autocorrelation and statistical tests in ecology (2002, background): “It is possible to mitigate these effects by the choice of sampling (Fortin, Drapeau & Legendre, 1989) or experimental design (Ver Hoef & Cressie, 2001), but in this paper, we concentrate on ways of accounting for spatial autocorrelation in statistical test procedures.”
• Climate change and caribou: effects of summer weather on forage (2002, methodology): “The glsvariogram uses the underlying spatial variation (autocorrelation) to estimate treatment contrasts with greater precision than classical ANOVA (Ver Hoef and Cressie 1993). Ver Hoef and Cressie (1993) suggested comparing the test statistic with a standard normal distribution.”