Dear colleagues, I have a set of presence/absence spatial data (1,0) representing the locations of site infested/uninfested trees by a tree pest. The distribution of infested sites (1) presents a strong trend toward the south (infested sites are much more abundant in the south). All semivariance estimators (variogram, std variogram, correlogram) are thus biased by this trend. I would like to estimate the infestation probability using kriging, but wonder how I should adress this. I have considered the following options:
a) Indicator kriging: Can IK account for spatial trend ? If so, how ? (any indication regarding software package would be appreciated) b) Universal kriging of binary data: would this be a valid way to estimate infestation probability ? If not, what would be the caveats of using such approach ? Any help would be greatly appreciated and will be summarized to the list. Have a good day, Marius Gilbert -------------------------------------------------- Dr. Marius Gilbert Collaborateur Scientifique FNRS Laboratoire de biologie animale et cellulaire Universite Libre de Bruxelles CP 160/12 50, av F.D. Roosevelt 1050, Bruxelles BELGIUM http://lubies.ulb.ac.be --------------------------------------------------- -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
