AI-GEOSTATS: gstat and anisotropy parameters.

2003-09-04 Thread Nick Hamm
Hi I have a set of two dimensional data( measured on a grid). Initial analysis strongly suggests that there is directional anisotropy, so I've been trying to deal with this. One way I've found is to fit the variogram model by maximum likelihood (or REML) using geoR. geoR seems to account for

Re: AI-GEOSTATS: negative weight

2003-09-04 Thread sebastiano trevisani
Hi! There is something about negative weights in "geostatistics for natural Resources Evaluation" of Pierre Goovaerts. Also in Srivastava's "Applied geostatistics" you can find something of useful. Sebastiano At 05:29 PM 9/4/2003 +0200, [EMAIL PROTECTED] wrote: Hi Mailinglist!!! I have go

Re: AI-GEOSTATS: negative weight

2003-09-04 Thread Pierre Goovaerts
Hi Laure, One of the main culprits for negative cokriging weights is the ordinary cokriging constraint that the sum of the secondary weights must be zero. I found that the frequency and magnitude of negative cokriging weights greatly decreased when using a single constraint that primary and second

Re: AI-GEOSTATS: negative weight

2003-09-04 Thread Isobel Clark
Laure You will probably get lots of replies on this and plenty of references, so I will stick to what I know. Possible reasons for large negative weights: (a) samples are too close together with low nugget effects on the semi-variogram models. This leads to precision problems in solving the equat

Re: AI-GEOSTATS: Lag - Distance, Variogram / Semivariogram

2003-09-04 Thread Isobel Clark
Ursula > 5.5 x 20 metres > Choosing a 5 metres lag, the variance > values are too high in the first 3 -4 lags. This is possibly because you have some competition effect between orchids. For a square grid, we usually recommend an interval 20% of the grid spacing, so you don't get diagonals lumped

AI-GEOSTATS:

2003-09-04 Thread lfontaine
Laure FONTAINE Services des Réserves COGEMA BUM/DT tél: 33 1 39 26 32 05 Fax: 33 1 39 26 27 31 -- * 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, se

AI-GEOSTATS: negative weight

2003-09-04 Thread lfontaine
Hi Mailinglist!!! I have got some problems with negative weight in my cokriging, they induce negative grade. Have you got some advice or publication to help me.I hope you can help me with some of your answers. Thank Laure Laure FONTAINE Services des Réserves COGEMA BUM/DT tél: 33 1 39 26 32 0

AI-GEOSTATS: Lag - Distance, Variogram / Semivariogram

2003-09-04 Thread Ursula Manns
Hi there, can anybody here tell me how to choose the correct (appropriate) lag distance for a regular sampling grid for orchids of 5.5 x 20 metres (Counting data at a certain quadrate) ? I have problems in variogrphy, because lag distances of 5 metres seem to be problematic because of the regu

Re: [AI-GEOSTATS: Deterministic vs. Stochastic Interpolation Comparison]

2003-09-04 Thread Peter Pinn
Hi Gregoir, Hi Mailinglist ! thank you very much for the information ! I am analysing plants in grassland and I have the problem, that many researchers here use linear triangulation in r e g u l a r (20 x 20 metres) sampling grids to estimate the population for mapping. Natural Neighbors seems