The spatial pattern of soil degradation in México was evaluated to test the hypothesis of non-random correlation. For this purpose, data on the degree of soil degradation in the 16,040 ecological systems in which the country is divided was used to calculate the Moran coefficient. A graphical analysis, based on the dispersion diagram and the local indicator of spatial association, was also applied. Soil degradation showed a positive and statistically robust pattern of spatial auto-correlation, since the Moran coefficient was able to synthesize 42.8% of the global structure of linear correlation among the degrees of degradation. The underlying variables that explain the relationship remain to be identified.
Key words: Spatial autocorrelation, geostatistics, Geoda.
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