漏洞
When using Quantile classification, each class is supposed to have the same number of pixels. However, with user's data, one class has a much larger number of pixels (~800,000) than other classes (~150,000).
| 漏洞 ID 编号 | NIM081368 |
|---|---|
| 已提交 | June 1, 2012 |
| 上次修改时间 | June 5, 2024 |
| 适用范围 | ArcGIS for Desktop |
| 找到的版本 | 10.0 |
| 状态 | Known Limit |
附加信息
This input is highly skewed. The majority of the values are grouped into the first bin.解决办法
1) Run Slice with equal area. Slice will calculate the appropriate areas based on the number of classes. Please note you may not end up with the exact number of classes specified due to the skewed data, however the class areas will be consistent as possible.2) Multiply by a large factor and convert to integer. Then run the reclassification on the resultant integer raster. This will provide an output that has very similar count values.from <a href="http://arcpy.sa" target="_blank">arcpy.sa</a> import *intRaster = Int(Raster("summer.berners.final.RSF.tif") * 1000000000)arcpy.BuildRasterAttributeTable_management(intRaster)run reclassify using raster input重现步骤
漏洞 ID: NIM081368
软件:
- ArcGIS for Desktop
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