Erro
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 do Erro | NIM081368 |
|---|---|
| Enviado | June 1, 2012 |
| Última Modificação | June 5, 2024 |
| Aplica-se à | ArcGIS for Desktop |
| Versão encontrada | 10.0 |
| Status | Known Limit |
Informações Adicionais
This input is highly skewed. The majority of the values are grouped into the first bin.Solução Provisória
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 inputEtapas para Reproduzir
ID do Erro: NIM081368
Software:
- ArcGIS for Desktop
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