不具合
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).
| 不具合 ID 番号 | NIM081368 |
|---|---|
| 送信されました | June 1, 2012 |
| 最終更新日 | June 5, 2024 |
| 適用対象 | ArcGIS for Desktop |
| 見つかったバージョン | 10.0 |
| ステータス | Known Limit |
参考情報
This input is highly skewed. The majority of the values are grouped into the first bin.対処法
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再現の手順
不具合 ID: NIM081368
ソフトウェア:
- ArcGIS for Desktop
バグのステータスが変更されたときに通知を受け取る
このトピックについてさらに調べる
関連情報の検索
このトピックに関連するトレーニングの検索
アイデアを探して、フィードバックを提供します
ArcGIS エキスパートのサポートを受ける
Esri Support アプリのダウンロード