将值作为因子的光栅图层转换为SpatialPixelsDataFrame
我有一个以值作为因子的光栅图层和一个属性表。我想将其转换为SpatialPixelsDataFrame,但在尝试以下操作时:将值作为因子的光栅图层转换为SpatialPixelsDataFrame,r,r-raster,R,R Raster,我有一个以值作为因子的光栅图层和一个属性表。我想将其转换为SpatialPixelsDataFrame,但在尝试以下操作时: library(sp) library(sf) library(rgdal) library(raster) library(FedData) library(rasterVis) create_factor_rast <- function(base_rast,Spatial_polygon,fieldname) { nam <- unique(Spa
library(sp)
library(sf)
library(rgdal)
library(raster)
library(FedData)
library(rasterVis)
create_factor_rast <- function(base_rast,Spatial_polygon,fieldname) {
nam <- unique(Spatial_polygon[[fieldname]])
nam_df <- data.frame(ID = 1:length(nam), nam = nam)
idfieldname = paste0(fieldname,"ID")
Spatial_polygon[[idfieldname]] <- nam_df$ID[match(Spatial_polygon[[fieldname]],nam_df$nam)]
new_raster <- rasterize(x=Spatial_polygon, y=base_rast, field = idfieldname)
new_raster <- ratify(new_raster)
# # Create levels
rat <- levels(new_raster)[[1]]
rat$names <- nam_df$nam
rat$IDs <- nam_df$ID
levels(new_raster) <- rat
new_raster
}
spft <- "+proj=lcc +lat_1=40 +lat_2=43 +lat_0=39.83333333333334 +lon_0=-100 +x_0=500000.0000000002 +y_0=0 +datum=NAD83 +units=us-ft +no_defs"
SSURGO.dl <- FedData::get_ssurgo(template=c('NE043'), label = "Tau",raw.dir = "./SSURGO_r/RAW/SSURGO",
extraction.dir = paste0("./SSURGO_R/EXTRACTIONS/", "soils","/SSURGO"))
SSURGO.dl_shp<-SSURGO.dl$spatial
unlink('SSURGO_r',recursive=TRUE)
# extract the muaggatt table
muaggatt<-SSURGO.dl[["tabular"]][["muaggatt"]]
# get only the fields needed, must have mukey to do the join
muaggatt <- muaggatt[c("mukey","hydgrpdcd","drclassdcd")]
SSURGO_merge <- merge(SSURGO.dl_shp,muaggatt,by.x = "MUKEY", by.y="mukey")
# Convert merged SSURGO polygon to Stateplane feet
SSURGO_merge <- sf::st_transform(SSURGO_merge,crs(spft))
SSURGO_merge <- as(SSURGO_merge,"Spatial")
grid_cell_size <- 100 # ~30 meters
shp_extent <- extent(SSURGO_merge)
r <- raster(SSURGO_merge,resolution = grid_cell_size,crs=crs(SSURGO_merge))
r.drclassdcd <- create_factor_rast(r, SSURGO_merge,'drclassdcd')
rasterVis::levelplot(r.drclassdcd)
r.drclassdcd_sp <- as(r.drclassdcd,"SpatialPixelsDataFrame")
库(sp)
图书馆(sf)
图书馆(rgdal)
图书馆(光栅)
图书馆(费达)
图书馆(拉斯特维斯)
创建因子如果您包含一个简单的示例输入和所需的输出,可用于测试和验证可能的解决方案,则会更容易为您提供帮助。换句话说,与您自己的数据不同,显示一个简单的示例光栅,其中包含一个属性表,您可以从光栅
帮助文件中获取,然后展示您试图从中创建SPDF的内容。我很难找到一个将isfactor设置为TRUE的示例,必须是数值(我了解大多数光栅数据的存储方式),但是我希望存储在属性表中标识的数值,然后将其转换为SpatialPixelsDataFrame,以便在另一个包中使用。