[R-sig-Geo] correlation betwee two grids acounting for univariate spatial autocorrelation, how to do it?
Seth Flaxman
flaxman at gmail.com
Thu Feb 20 19:59:31 CET 2014
Hi Jesús.
I think of this as something of an open research problem, so I'm
curious to hear what others have to say. I looked at the reference you
sent (which is new to me, looks interesting!)
Is your original data a spatial point pattern which you've smoothed
into a map (as in spatial point processes)? Or do you have variables
observed for spatial regions (as in geostatistics)?
Seth
On Thu, Feb 20, 2014 at 1:51 PM, Jesús Muñoz <jmunoz at rjb.csic.es> wrote:
> Dear colleagues,
>
> I needed to measure the association degree (and ideally its p-value) between
> two maps, one representing richness of European bryophytes and the other
> vascular plant richeness. From the maps it is clear the two patterns are
> reversed: bryophytes 'rule' in the north, and vascular plant richness is
> higher in southern Europe.
>
> I have used isodata algorithm followed by a Maximum-likelihood
> classification to generate a map showing four different areas in Europe
> (lowbryo-lowvasc, lowbryo-highvasc, highbryo-lowvasc, and
> highbryo-highvasc). Additionally, I would like to run a correlation analysis
> but corrected for the univariate spatial correlation of each variable
> (bryophytes and vascular plant richness); a global correlation map-to-map is
> meaningless here.
>
> I found a statistic that would suit my needs (Lee, S.-I. 2001. Developing a
> bivariate spatial association measure: An integration of Pearson's r and
> Moran's I. Journal of Geographical Systems 3(4): 369-385). It is implemented
> in 'The Map Comparison Kit' (http://www.riks.nl/mck/), but it return values
> outside the -1 to 1 values, which makes me think there is something wrong in
> the code or the statistic.
>
> Can somebody guide me to a R package allowing me to measure the association
> between these two grids?
>
> thanks in advance,
>
> Jesús
>
>
>
>
>
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