Re: AI-GEOSTATS: maximum kriging variance with standardized sill

2003-12-17 Thread Isobel Clark
> is it right to assume the maximum kriging variance > to be =2 when using a > variogram with a standardized sill of 1 ?? Yes, if you are estimating the value at a point from only one sample which is outside its range of influence. Isobel http://uk.geocities.com/drisobelclark/practica.htm ___

AI-GEOSTATS: maximum kriging variance with standardized sill

2003-12-17 Thread Lorenz Dobler
just another question to the list: ist it right to assume the maximum kriging variance to be =2 when using a variogram with a standardized sill of 1 ?? gretings Lorenz Dobler Universität Münster Institut für Geoinformatik Robert-Koch-Strasse 26-28 D-48149 Münster Tel.: 0251/83-30089 Fax: 0251/

Re: AI-GEOSTATS: sample distances bigger than range

2003-12-17 Thread Isobel Clark
Lorenz Your samples also have to be out of the range of influence of one another to get equal weights. The left hand side of the equations needs to be an identity matrix (well, with the total sill down the diagonal and zeroes everywhere else) to get equal weights. Isobel {Clark} http://geoecosse.

AI-GEOSTATS: sample distances bigger than range

2003-12-17 Thread Lorenz Dobler
hell list, i did a little exercise with ordinary kriging with extreme sample distances. as i understand: if all distances between samples and gridpoint are bigger than the range, the kriging estimation should be equal to the sample mean => all samples should get the same weight. in my example ev