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Red-shifts and red herrings in geographical ecology

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References

1985CHAPMAN AND HALL4,352 cited
1993Spatial Autocorrelation: Trouble or New Paradigm?3,720 cited
1981Spatial statistics2,866 cited
1981Spatial Statistics2,052 cited
1974Spatial Autocorrelation1,232 cited
1993Modifying the t Test for Assessing the Correlation Between Two Spatial Processes918 cited
1991Spatial data analysis in the social and environmental sciences853 cited
1984Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression851 cited
1990Spatial Data Analysis in the Social and Environmental Sciences683 cited
1989Assessing the Significance of the Correlation between Two Spatial Processes642 cited

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2008Model selection and information theory in geographical ecology

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