Apr
25
25
Apr
25
25
Jan
16
16
Jan
9
9
@whuber, could you elaborate on (a) in your first paragraph? For example, are you referring to errors in data collection techniques that may persist across each forest gap (and therefore systematically manifest themselves in each KDE raster), or errors tied to the implementation of the focal function?
Jan
6
6
Dec
30
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Dec
29
29
For your second inquiry, you might glean some inspiration from this answer. The shuffling of labels should be easy in Python. For spatial stats in Python you might want to look at PySAL.
Nov
28
28
Nov
28
28
Aaron, you say that you tried running Moran's I, are you interested in measuring how a sapling's attribute compares with neighboring saplings' attributes (i.e. are you dealing with a marked point pattern)? The title seems to imply that you are only interested in the location of the saplings relative to one another and not their attributes.
Nov
14
14
@dalek, one good reference for this technique is Bailey and Gatrell's Interactive Spatial Data Analysis.
Oct
18
18
Oct
18
18
Added spatial tag
Oct
18
18
Are you looking to control for latitudinal effects by detrending for instance (i.e. estimating the latitudinal temperature trend, then removing it from the data before identifying clusters)?
Oct
17
17
Martin, you might want to read the paper Error propagation of DEM-based surface derivatives (Computers & Geosciences, v31 n8) where the authors use autocorrelation models to represent the correlation structure of DEM errors.
Oct
13
13
Oct
13
13
Oct
10
10
Oct
9
9
Oct
9
9
Oct
9
9
I've made some significant edits to this question since smillig's comments.