Correlation is mutual relationship between numerical variables. Spatial correlation differs from nonspatial by including location parameters (usually coordinates). Usually, the dependence of correlation from distance is studied or the weight of observation pairs is set dependent on their distance. Regression is dependence of a numerical variable on explanatory numerical variables. Both correlation and regression can be calculated locally at each location or grid node. The strength and significance and other parameters of relationshiops can be presented as cartograms. 
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ID  P  Question or exercise  

3931  2  The example data in the SDC Local Correlation module are the long term mean durability of snow cover and long term mean annual precipitation amount in Estonian meteorological stations.

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3789  3  The attached archive contains long term mean precipitation values in autumn (September, October, November) and in spring (March, April, May) measured in the Baltic meteorological stations.

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