Error
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).
| Número de ID del error | NIM081368 |
|---|---|
| Enviado | June 1, 2012 |
| Última modificación | June 5, 2024 |
| Relacionado con | ArcGIS for Desktop |
| Versión encontrada | 10.0 |
| Estado | Known Limit |
Información adicional
This input is highly skewed. The majority of the values are grouped into the first bin.Solución alternativa
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 inputPasos para reproducir
ID del error: NIM081368
Software:
- ArcGIS for Desktop
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