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Return pixel position of minimum value for each zone?

ChrisSnyder

I have a streamlink raster and a "value" raster that has floating point values. I want to return the pixel position of the minimum value for each zone.... Sort of like a zonal minimum, but instead of applying the minimum value to the entire zone, I just want to return the pixel(s) that have the minimum value of each zone (and tag the rest as NoData or some other value). I don't even need to return the minimum value - just return the pixel that has the minimum value and assign it a value of 1. I have a working method for doing this, but it requires converting my raster to points and then a bunch of extra steps along the way - pretty sloppy and slow.

I am looking for an elgant raster-based solution that is fast, since I have to do this process many times over via a Python script.

A graphical representation of a hypothetical zone (x = nodata)

input:  3 5 6 2 3 4 6 7 9 output: x x x 1 x x x x x

Any ideas?

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Accepted answers

ChrisSnyder

I got it:

Con(valueGrd == ZonalStatistics(strmLinkGrd, "VALUE", valueGrd, "MINIMUM", "DATA"), 1)

All comments

ChrisSnyder

Thanks Steve - that's the same method I came up with too.

SteveLynch

Chris

Have a look at

http://arcpy.wordpress.com/tag/zonal-statistics/

ChrisSnyder

I got it:

Con(valueGrd == ZonalStatistics(strmLinkGrd, "VALUE", valueGrd, "MINIMUM", "DATA"), 1)

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