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Calculating spatial autocorrelation (Moran's I) when have zero-inflated data?
3 messages · Laura S, Christian Levers, Rich Shepard
As far as I know that would be the Join Counts statistics. --> http://www.spatialanalysisonline.com/output/html/SpatialAutocorrelation.html Cheers, Christian Am 26.09.2011 06:57, schrieb Laura S:
Dear all: I was wondering if you have suggestions on how to analyze the spatial autocorrelation of tree abundance in a grid of contiguous quadrats given that the data set follows a zero inflated distribution, i.e., in many quadrats the abundance of a species is zero. Thank you for your time and consideration, Laura ***<http://www.sciencedirect.com/science/article/pii/S0304380009000271#aff2> *
MSc Geogr. Christian Levers Research Assistant | PhD Student Geomatics Lab | Geography Department | Humboldt-Universitaet zu Berlin eMail: christian.levers at geo.hu-berlin.de phone: +49 (0) 30 2093 9341 fax: +49 (0) 30 2093 6848 mail: Unter den Linden 6 | 10099 Berlin | Germany web: www.hu-geomatics.de
On Sun, 25 Sep 2011, Laura S wrote:
I was wondering if you have suggestions on how to analyze the spatial autocorrelation of tree abundance in a grid of contiguous quadrats given that the data set follows a zero inflated distribution, i.e., in many quadrats the abundance of a species is zero.
Laura, Read Section 8.4 (and the rest of their book while you're at it) in "Applied Spatial Data Analysis with R" by Roger S. Bivant, Edzer J. Pebesma, and Virgilio Gomez-Rubio. Rich