Testing Pairwise Association between Spatially Autocorrelated Variables: A New Approach Using Surrogate Lattice Data

@inproceedings{Deblauwe2012TestingPA,
  title={Testing Pairwise Association between Spatially Autocorrelated Variables: A New Approach Using Surrogate Lattice Data},
  author={Vincent Deblauwe and Pol Kennel and P. Couteron},
  booktitle={PloS one},
  year={2012}
}
BACKGROUND Independence between observations is a standard prerequisite of traditional statistical tests of association. This condition is, however, violated when autocorrelation is present within the data. In the case of variables that are regularly sampled in space (i.e. lattice data or images), such as those provided by remote-sensing or geographical databases, this problem is particularly acute. Because analytic derivation of the null probability distribution of the test statistic (e.g… CONTINUE READING