在处理地图数据时候,经常会碰到shp与raster两种格式。通常r中应用较多的为raster栅格数据。shp文件太大,读取也不方便。逐渐被GeoJSON替代,用sf去处理与读取。 R在读取shp时候,处理,或者画图都会碰到,反应迟钝问题。所以,我们有时候会根据需要,将shp文件转成raster,不仅可视化快,还可方便数据处理与提取。shp文件转成ra...
#To generate raster r <- raster(t(pre), xmn=min(long[LonIdx]), xmx=max(long[LonIdx]), ymn=min(lat[LatIdx]), ymx=max(lat[LatIdx]), crs=CRS("+proj=longlat +datum=WGS84 +no_defs")) #Display the raster plot(r) #Clip the raster using the shapefile r <- crop(r, fjcities...
r <- raster(t(pre), xmn=min(long[LonIdx]), xmx=max(long[LonIdx]), ymn=min(lat[LatIdx]), ymx=max(lat[LatIdx]), crs=CRS("+proj=longlat +datum=WGS84 +no_defs")) #Display the raster plot(r) #Clip the raster using the shapefile r <- crop(r, fjcitieswgs) r <- mask(r...
library(raster)shape=shapefile(system.file("external/lux.shp",package="raster"))r=raster(shape,res=0.05)shape_r=rasterize(shape,r,1)plot(shape_r)plot(shape,add=T)>shapeclass:SpatialPolygonsDataFramefeatures:12extent:5.74414,6.528252,49.44781,50.18162(xmin,xmax,ymin,ymax)crs:+proj=longlat+datu...
The problem! Imagine you have this situation: you have several global raster files and a shapefile with a few areas (e.g. Natural Parks). You want to generate a raster file using as mask each of the polygons in the shapefile for each of the original rast
课程内容大多已在公众号上推送过,栅格数据处理部分使用terra包替换了raster包。详细目录如下: 第一部分:sf包与矢量数据处理 1 读写矢量对象 1.1 读取Shapefile文件 1.2 读取Geodatabase文件 1.3 写入Shapefile文件 1.4 读写其他格式文件 2 定义矢量对象 2.1 sfg、sfc、sf 2.2 定义点对象 2.3 定义线对象 2.4 创建...
Fix incompatibilities with sp and raster Apr 1, 2024 cran-comments.md Add autosubmission files from devtools Jun 16, 2023 rGEDI.Rproj * Use markdown in functions documentation Aug 21, 2021 Repository files navigation README rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigatio...
ee_extractwill help you to extract monthly precipitation values from the Terraclimate ImageCollection.ee_extractworks similar toraster::extract, you just need to define: the ImageCollection object (x), the geometry (y), and a function to summarize the values (fun). ...
在R语言中进行地理空间数据分析通常使用专门的地理空间数据处理包,如sp、rgdal、raster、maptools等。以下是一些常见的地理空间数据分析步骤:1. 读取地理空间数据:使用rgdal包...
Background: A common function in standard GIS software enables users to create a raster surface and extract values or clip it based on a set of polygons. This may be used in cases where you want analysis to be constrained to within a town’s boundaries o