Correlation between size of a point and its distance from a landscape feature?

[HayleyGlover]

Hi there,

I have two datasets. One is a point file of features, each with different size (area) values. The second is zones on a map (polygons) which represent an agricultural land class. (I have also treated this data as a binary coverage (1 = agriculture, 0 = no agriculture, and as a raster of Euclidean distance from agricultural zones).

I want to know if bigger point features are correlated with agricultural zones (or a smaller distance to agricultural zones).

Is the best way to do this simply by a regression or is there a better option like the spatial Kolmogorov-Smirnov test (I have done this but don't think it can account for size of the points, not just location)? I tried the ordinary least squares function once and the results didn't seem quite right.

Thanks so much in advance!

[DanPatterson_Retired]

Perhaps a Spearman's Rank Correlation since it can be used to test for a relation between rank size and rank distance rather than absolute size and absolute distance

[LaurenGriffin]

A quick and dirty approach might be to create a scatterplot.