Spatial Autocorrelation and Pseudoreplication in Fire Ecology

Amanda L. Bataineh; Brian P. Oswald; Mohammad M. Bataineh; Daniel Unger; I-Kuai Hung; Daniel Scognamillo

Spatial Autocorrelation and Pseudoreplication in Fire Ecology

Amanda L. Bataineh, Brian P. Oswald, Mohammad M. Bataineh, Daniel Unger, I-Kuai Hung, Daniel Scognamillo

Forestry

Research output: Contribution to journal › Article

Abstract

Fire ecologists face many challenges regarding the statistical analyses of their studies. Hurlbert (1984) brought the problem of pseudoreplication to the scientific community’s attention in the mid 1980’s. Now, there is a new issue in the form of spatial autocorrelation. Spatial autocorrelation, if present, violates the traditional statistical assumption of observational independence. What, if anything, can the fire ecology community do about this new problem? An understanding of spatial autocorrelation, and knowledge of available methods used to reduce the effect of spatial autocorrelation and pseudoreplication will greatly assist fire ecology researchers.

Original language	Undefined/Unknown
Journal	Faculty Publications
State	Published - Jan 1 2006

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Spatial Autocorrelation and Pseudoreplication in Fire Ecology

http://scholarworks.sfasu.edu/forestry/378

Cite this

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title = "Spatial Autocorrelation and Pseudoreplication in Fire Ecology",

abstract = "Fire ecologists face many challenges regarding the statistical analyses of their studies. Hurlbert (1984) brought the problem of pseudoreplication to the scientific community{\textquoteright}s attention in the mid 1980{\textquoteright}s. Now, there is a new issue in the form of spatial autocorrelation. Spatial autocorrelation, if present, violates the traditional statistical assumption of observational independence. What, if anything, can the fire ecology community do about this new problem? An understanding of spatial autocorrelation, and knowledge of available methods used to reduce the effect of spatial autocorrelation and pseudoreplication will greatly assist fire ecology researchers.",

author = "Bataineh, {Amanda L.} and Oswald, {Brian P.} and Bataineh, {Mohammad M.} and Daniel Unger and I-Kuai Hung and Daniel Scognamillo",

year = "2006",

month = jan,

day = "1",

language = "Undefined/Unknown",

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TY - JOUR

T1 - Spatial Autocorrelation and Pseudoreplication in Fire Ecology

AU - Bataineh, Amanda L.

AU - Oswald, Brian P.

AU - Bataineh, Mohammad M.

AU - Unger, Daniel

AU - Hung, I-Kuai

AU - Scognamillo, Daniel

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Fire ecologists face many challenges regarding the statistical analyses of their studies. Hurlbert (1984) brought the problem of pseudoreplication to the scientific community’s attention in the mid 1980’s. Now, there is a new issue in the form of spatial autocorrelation. Spatial autocorrelation, if present, violates the traditional statistical assumption of observational independence. What, if anything, can the fire ecology community do about this new problem? An understanding of spatial autocorrelation, and knowledge of available methods used to reduce the effect of spatial autocorrelation and pseudoreplication will greatly assist fire ecology researchers.

AB - Fire ecologists face many challenges regarding the statistical analyses of their studies. Hurlbert (1984) brought the problem of pseudoreplication to the scientific community’s attention in the mid 1980’s. Now, there is a new issue in the form of spatial autocorrelation. Spatial autocorrelation, if present, violates the traditional statistical assumption of observational independence. What, if anything, can the fire ecology community do about this new problem? An understanding of spatial autocorrelation, and knowledge of available methods used to reduce the effect of spatial autocorrelation and pseudoreplication will greatly assist fire ecology researchers.

M3 - Article

JO - Faculty Publications

JF - Faculty Publications

ER -