解决方法:如果需要在Python中批量操作,可以采用rasterstats包,源代码参见https://github.com/perrygeo/python-rasterstats,使用手册参见https://pythonhosted.org/rasterstats/manual.html#design-goals 安装如下, conda install rasterio pip install rasterstats 使用代码, importpandasaspdfromrasterstatsimportzonal_statsdefzo...
(vector, raster, stats=stats, geojson_out=True) geostats = gpd.GeoDataFrame.from_features(result) return geostats...
ZonalStatistics (ゾーン統計) の例 1 (Python ウィンドウ) 次の例では、値の入力ラスターのセル値の範囲をゾーンごとに求めています。 importarcpyfromarcpyimportenvfromarcpy.saimport*env.workspace="C:/sapyexamples/data"outZonalStats=ZonalStatistics("zone","value","valueraster","RANGE","NODA...
屏幕分辨率为：screen.width screen.height 屏幕可用大小：screen.availWidth screen.availHeight 网页...
library(tmap) library(tidyverse) library(sf) source('R/unnest-qual-zonal-stats.R') source('R/merge-sf.R') source('R/st-read-rename-cols-based-on-prefix.R') results_path <- 'gee_python/out/result_layers/' final_results <- 'out/' Global SRTM Landforms # Base name base_name <- ...
in_path= r'E:\Data\S06_Data_Times'out_path= r'E:\Data\S07_Data_Stats\\'shp= r'E:\Data\shp\China.shp'zoneField="CityID"env.workspace=in_path files=arcpy.ListRasters()forfileinfiles: outTable= out_path+file[:-4]+".dbf"outExcel= out_path+file[:-4]+".xls"outZSaT= Zonal...
python -c "import zones;zones.test_raster()" Zonal stats with polygon and raster data import zones zs = zones.RasterStats('values.tif', 'zones.shp', verbose=2) # One statistic df = zs.calculate('mean') # Multiple statistics df = zs.calculate(['nanmean', 'nansum']) # Save data...
I will check later...I just used the tool in ArcToolbox...haven't tried the python-arcpy approach...which I will just in case there are differences in behaviour between the tool and arcpy Reply 0 Kudos by GüntherGrill 08-12-2015 10:21 AM Thanks again! I used the code ...
outTable = "zonal_stats.dbf" DBF_dir = "dbf" #folder for temp dbf outputs if not os.path.exists(DBF_dir): os.mkdir(DBF_dir) #循环处理要素 inRows = gp.searchcursor(inputFC) inRows.reset() inRow = inRows.next() while inRow: ...
These statistical parameters have been calculated on a practical basis to obtain the results of subsections 4.1 and 4.2 using Scispy-stats [18], Pandas libraries [19] and programming in Python [20]. 2.2.2. Temperature Sensor Uncertainty (UTS) analysis for the Mobile Monitoring System (MMS) ...