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What is the default Reclassify scheme?

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08-07-2012 01:37 PM
HenryGlick
Deactivated User
Does anyone know what the default reclassification scheme is for the Reclassify tool, when you have a raster symbolized using a gradient? When you drag a file in, it creates 255 bins. But, when I try to replicate the bins using one of the schemes in the drop-down menu, I can't seem to find one that corresponds. I wasn't able to locate any info on this, and can't find the system folder where I might check/alter this. Thoughts??

Along similar lines, I am struggling to rationalize reclassification choices for severely right-skewed data. The goal is to reclassify while maintaining as much of a gradient/pseudo gradient as possible, and to be able to compare composite habitat suitability models with disparate data. That is, I could compare models that had 0-100 scales defined by equal intervals, but not by Jenk's optimization - since the classes are based on variability within each dataset. It seems that unless I group outliers with much lower values, when I isolate "top" ranking habitat, I end up with virtually no suitable area. I've been around the block on this one, and feel like I am bashing my head against a wall. I would love to hear any clever, statistically sound, or simple-yet-overlooked approaches that I might try.

Thanks,
HG
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PavanYadav
Esri Regular Contributor
Does anyone know what the default reclassification scheme is for the Reclassify tool, when you have a raster symbolized using a gradient? When you drag a file in, it creates 255 bins. But, when I try to replicate the bins using one of the schemes in the drop-down menu, I can't seem to find one that corresponds. I wasn't able to locate any info on this, and can't find the system folder where I might check/alter this. Thoughts??

Please see Usage section in the reclassify tool help, it says, "If the input raster is a layer, the old values of the reclassification will be obtained from the renderer. If the renderer is stretched, the reclassification will default to 255 classes".

Thanks
Pavan
Pavan Yadav
Product Engineer at Esri
AI for Imagery
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