【发布时间】:2014-08-21 03:23:12
【问题描述】:
这可能与谁有关:
这里是源代码:
GRA_D1<- raster(files[[1]])
//Sets up an empty output raster:
GRA_D1<- writeStart(GRA_D1,filename='GRA_D1.tif', format='GTiff', overwrite=TRUE)
//Write to the raster, for loop:
for(i in 1:dim(GRA_D1)[1]){
//Extract raster values at rows
d.Frame<- matrix(NA,ncol=2,nrow=dim(GRA_D1)[2])
d.Frame[,1]<- getValues(r1[[1]],i)
d.Frame[,2]<- getValues(r1[[2]],i)
w.Frame<- as.data.frame(d.Frame)
names(w.Frame)<- c("D1_pred_disAg","D1_pred_RK")
//Apply the predictive model:
m.pred<-predict(mod.1, w.Frame)
//Write the predictions to the empty TIFF raster
GRA_D1<-writeValues(GRA_D1,m.pred,i)
print(i)}
//Finish writing to the raster
GRA_D1<- writeStop(GRA_D1)
我正在尝试将输出写入一个空的 TIFF 栅格,但我不断收到以下错误消息:
#Error in .local(.Object, ...) :
`general_file_path\GRA_D1.tif' does not exist in the file system,
and is not recognised as a supported dataset name.
我想知道这是否与滥用 RGDAL 或 RASTER 包中的函数有关。
有人可以帮助我吗?
提前感谢您的慷慨。
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标签: r error-handling rgdal r-raster