Bug
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).
| Bug ID Number | NIM081368 |
|---|---|
| Submitted | June 1, 2012 |
| Last Modified | June 5, 2024 |
| Applies to | ArcGIS for Desktop |
| Version found | 10.0 |
| Status | Known Limit |
Additional Information
This input is highly skewed. The majority of the values are grouped into the first bin.Workaround
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 inputSteps to Reproduce
Bug ID: NIM081368
Software:
- ArcGIS for Desktop
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