Hi Dave and everybody, I also work with acoustic data collected in parallel equidistant transects(in my case fish density)and we also have zero inflated data. "Playing" with Arcgis I saw that performing a cell declustering previous to an ordinary kriging improved substantially the predictions. I supposed it occurs because in some sense the data is clustered in one axis of the 2D. Don't you thing it's better this option than transforming the data? I would appreciate your opinions. Pilar
Mª Pilar Tugores Ferrà Becaria FPI - PhD Student Acústica de Pesquerías I.E.O. - Centro Oceanográfico de Baleares Muelle de Poniente s/n 07015 Palma de Mallorca (España) Tel.: (34) 971 401561 -----Mensaje original----- De: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] En nombre de Ashton Shortridge Enviado el: 27 August 2008 22:22 Para: [email protected] Asunto: Re: [R-sig-Geo] kriging question Hi Sarah, This looks interesting and relevant: http://www.leg.ufpr.br/mbgbook/ On Tuesday 26 August 2008, Edzer Pebesma wrote: > Diggle & Ribeiro -- Ashton Shortridge Associate Professor [EMAIL PROTECTED] Dept of Geography http://www.msu.edu/~ashton 235 Geography Building ph (517) 432-3561 Michigan State University fx (517) 432-1671 _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo La información contenida en este e-mail y sus ficheros adjuntos es totalmente confidencial y no debería ser usado si no fuera usted alguno de los destinatarios. Si ha recibido este e-mail por error, por favor avise al remitente y bórrelo de su buzón o de cualquier otro medio de almacenamiento. This email is confidential and should not be used by anyone who is not the original intended recipient. If you have received this e-mail in error please inform the sender and delete it from your mailbox or any other storage mechanism. _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
