我正在尝试计算R中特定时间步的栅格砖的平均值。
对数据集进行子集显示(对我而言)似乎是正确的布局,但是R不允许进行任何后续计算。
> r_sub <- b[[1699:1862]]
> r_sub
class : RasterStack
dimensions : 127, 147, 18669, 164 (nrow, ncol, ncell, nlayers)
resolution : 5, 5 (x, y)
extent : 603299.4, 604034.4, 6615598, 6616233 (xmin, xmax, ymin, ymax)
crs : NA
names : X2019.02.09.19, X2019.02.09.20, X2019.02.09.21, X2019.02.09.22, X2019.02.09.23, X2019.02.09.24, X2019.02.10.1, X2019.02.10.2, X2019.02.10.3, X2019.02.10.4, X2019.02.10.5, X2019.02.10.6, X2019.02.10.7, X2019.02.10.8, X2019.02.10.9, ...
> r_mean <- calc(r_sub, mean)
Error in Rsx_nc4_get_vara_double: NetCDF: Index exceeds dimension bound
Var: SWIT Ndims: 3 Start: 1698,0,0 Count: 1,127,147
Error in ncvar_get_inner(ncid2use, varid2use, nc$var[[li]]$missval, addOffset, :
C function R_nc4_get_vara_double returned error
如何解决此特定错误?
答案 0 :(得分:1)
我想这与您的文件问题有关,与代码无关。
我做到了,效果很好
library(raster)
b <- brick("filename.nc")
r_sub <- b[[1699:1862]]
r_sub
#class : RasterStack
#dimensions : 160, 320, 51200, 164 (nrow, ncol, ncell, nlayers)
#resolution : 1.125, 1.121277 (x, y)
#extent : -0.5625, 359.4375, -89.70216, 89.70216 (xmin, xmax, ymin, ymax)
#crs : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
mean(r_sub)
#class : RasterLayer
#dimensions : 160, 320, 51200 (nrow, ncol, ncell)
#resolution : 1.125, 1.121277 (x, y)
#extent : -0.5625, 359.4375, -89.70216, 89.70216 (xmin, xmax, ymin, ymax)
#crs : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
#source : memory
#names : layer
#values : 3.033032e-07, 0.0002482847 (min, max)
此外,您可能希望使用stackApply