我创建了这个脚本来计算两个常量rc_Mod2000_LC,y = S01_E031_FC的一个输出。
# Extract LUC in Mod2000
LU_S01_E031_FC_Mod2000 <- extract(x=rc_Mod2000_LC, y=S01_E031_FC)
maj <- function(x){
y <- as.numeric(names(which.max(table(x))))
return(y)
}
LU_S01_E031_FC_Mod2000 <- extract(x=rc_Mod2000_LC, y=S01_E031_FC, fun=maj)
colnames (LU_S01_E031_FC_Mod2000) <- c("LU_2000")
现在,我想创建一个for循环函数,其中rc_Mod2000_LC是常量(栅格),但其中S01_E031_FC是变量(shapefile)。 rc_Mod2000_LC是全局土地覆盖图,S01_E031_FC是图块。我有61个shapefile列表。
[[1]]
class : SpatialPolygonsDataFrame
features : 16
extent : 30.95493, 31.02964, -1.040257, -0.9624111 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
variables : 16
names : ID, Area_ORG, LU_1990, LU_2000, CHLU_90_00, LU_2005, CHLU_00_05, Tile, UNIQ_ID, AREA, D_90_00, D_00_05, Sour_90_00, Sour_00_05, Conf_90_00, ...
min values : 1139, 10.44, 11, 11, 1111, 0, 1112, S01_E031, S01_E031_1139, 90260.9, 100, 200, GLSE_00, GLSE_05, 3, ...
max values : 935, 8.97, 11, 12, 1112, 0, 1230, S01_E031, S01_E031_935, 1029736.2, 520, 520, GLSE_00, GLSE_05, 3, ...
[[2]]
class : SpatialPolygonsDataFrame
features : 2
extent : 30.95484, 30.99854, -2.022452, -1.971676 (xmin, xmax, ymin, ymax)
coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0
variables : 16
names : ID, Area_ORG, LU_1990, LU_2000, CHLU_90_00, LU_2005, CHLU_00_05, Tile, UNIQ_ID, AREA, D_90_00, D_00_05, Sour_90_00, Sour_00_05, Conf_90_00, ...
min values : 466, 0.06, 11, 11, 1111, 0, 1130, S02_E031, S02_E031_466, 603.7435, 100, 520, GLSE_00, GE_06, 3, ...
max values : 975, 3.15, 11, 11, 1111, 0, 1130, S02_E031, S02_E031_975, 31698.1260, 100, 520, GLSE_00, GLSE_05, 3, ...
因此我想要x = rc_Mod2000_LC和y = shapefile列表。希望有人可以帮助我,如果你需要一些澄清,请告诉我。
答案 0 :(得分:0)
我会做这样的事情,首先你提取功能:
extract_shape(y=shape,x=rc_Mod2000_LC){
S01_E031_FC<- readShapePoly(shape)
proj4string(S01_E031_FC) <- "+proj=longlat +datum=WGS84"
extract(y=S01_E031_FC, fun=maj)
}
然后你遍历形状名称:
lapply(list_shapes,extract_shape)
其中:
list_shapes <- c("S01_E031_FC","S01_E032_FC","S01_E033_FC",...)
或者更好的是,如果您的形状名称具有某种模式,您可以使用:
list_shapes <- ls(pattern='S1_.*_FC')