[ai-geostats] kriging proportions

2004-06-10 Thread Marc-Olivier Gasser
Hi everyone, Lets say we have measured three soil particule size values for clay, silt and sand, all adding to one. cl + s i + sa = 1 What would be the best way to take into account each particule size, so the interpolated values still add up to one? Is there any geostatistical process that can h

Re: [ai-geostats] kriging proportions

2004-06-10 Thread Pierre Goovaerts
Hi Marc, You may want to look at the following paper: de Gruijter, J.J., Walvoort, D.J.J., van Gaans, P.F.M., 1997. Continuous soil maps --- a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models. Geoderma 77, 169--195. The authors describe compositio

[ai-geostats] Re: kriging proportions

2004-06-10 Thread Isobel Clark
Marc-Olivier The simplest solution - in the sense that most packages could handle it - is to carry out a 'nested' indicator analysis. That is: (i) code one of your particle classes as '1' and all other as '0', produce a map of proportion of this class. (ii) remove this particle class from your

Re: [ai-geostats] kriging proportions

2004-06-10 Thread Dr Inakwu Odeh
Marc-Olivier, You can try our recent publication in the Journal "Soil Science" which compared several geostatistical techniques for simultaneously interpolating soil particle-size fractions while ensuring summation to a constant. The reference is: Odeh IOA Todd AJ and Triantafilis J 2003.  Spatial