Xref: utzoo sci.math.stat:1999 bit.listserv.gis-l:967 comp.graphics:16167 sci.math:15344 misc.wanted:13532 Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!helios!diamond!jdm5548 From: jdm5548@diamond.tamu.edu (James Darrell McCauley) Newsgroups: sci.math.stat,bit.listserv.gis-l,comp.graphics,sci.math,misc.wanted Subject: Wanted: Measure of spatial variability Keywords: measurement, spatial, variable Message-ID: <12532@helios.TAMU.EDU> Date: 23 Feb 91 19:41:03 GMT Sender: usenet@helios.TAMU.EDU Reply-To: jdm5548@diamond.tamu.edu (James Darrell McCauley) Followup-To: poster Organization: Texas A&M University Lines: 28 Howdy, I'm looking for some sort of *standard* measure of spatial variability. I would like to know if something like this exists in the mathematic, statistic, or image processing world before I invent my own measure. Background: I have maps of various agronomic properties (such as soil type, nitrate concentrations, etc). I also have some images of remotely sensed data. I would like to be able to assign these some index of of spatial variability. For example, if a map or image is completely homogeneous (i.e., all the same color), then perhaps assign it an index of zero. If I generated a grayscale image by "randomly" assigning pixels values (say from 0 to 255), then it may have an index of 100 (maximum spatial variability). For you geostatistic folk, I am aware of semivariograms and their use in kriging. I'm really looking for some sort of index value as opposed to a function. PLEASE E-MAIL ANY SUGGESTIONS. I'll summarize personally to any "me, too" requests. I apologize for the groce cross-posting, but this was the only way I could reach the audiences who may have any ideas. Thanks, Darrell McCauley -- James Darrell McCauley (jdm5548@diamond.tamu.edu, jdm5548@tamagen.bitnet) Spatial Analysis Lab, Department of Agricultural Engineering, Texas A&M University, College Station, Texas 77843-2117, USA Brought to you by Super Global Mega Corp .com