Dear friends,
  The  geoRglm package maybe a promising method for me to analyze my
dataset. I have read the materials on  geoRglm's usage,but still can't
finish my task using it.
 There are six explanatory variables in my dataset, and i can't find the
method to include the six explanatory variables  in the model.
  *coordinates*: lat , long, which means latitude and longitude
  *six explanatory variables* :class, soiltem ,airtem, gheight,
humidity,elevation, which means type of grass,soil temperature, air
temperature,height of of grass,soil  humidity and the elevation.
  *responsible variable*: snails, which is a kind of animal .count
data.(no./0.11m2)
*Part of my dataset*:
grass  class soiltem airtem gheight  humidity      lat
 long         elevation snail
hucao     1    19.2   19.9      50        0.2967480 30.61688 117.4140
6.548082    49
hucao     1    18.6   20.5      65        0.3380282 30.61686 117.4140
6.650321    79
yuhao     2    19.5   21.6      55        0.3556338 30.61680 117.4139
7.464795    43
  It is a random samples from the field and could be analyzed using
geostatistics, but i can't found the method in geoRglm package to include
the six explanatory variables  in the model,  anybody knows how to do it?

*The following is my programs for projection the dataset following Roger
Bivand's help:
*model<-read.csv('d:/deleting/models.csv',sep=',',header=T)
model[1:3,]
coordinates(model) <- c("long", "lat")
proj4string(model) <- CRS("+proj=longlat +ellps=WGS84")
model.proj<-spTransform(model, CRS(("+init=epsg:2384")))  #the projected
dataset, which will be used in the geoRglm package

My main doubt is where i shoud define my  explanatory variables and
responsible variable in the geoRglm model .
Thanks very much!

-- 
With Kind Regards,

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Zhi Jie,Zhang ,PHD
Tel:86-21-54237149   epistat@gmail.com
Dept. of Epidemiology,school of public health,Fudan University
Address:No. 138 Yi Xue Yuan Road,Shanghai,China
Postcode:200032
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