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Hi Jake - could you possibly point me to some working examples/documentation of what the proxy.config and config.json files are supposed to contain at a minimum for a webappbuilder dev edition webapp that I create and then download (host on my machine). I can't seem to get the proxy to function (or log to .txt file either) locally i.e., http://localhost/[mywebapp] with the .NET proxy set up. The documentation doesn't really provide many examples and I'm fairly new to .NET applications in general, thanks!
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06-19-2015
09:17 AM
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DId you ever find a solution to this? After 10.3 I can't run IDLE either I get the same error, but it worked at 10.2...
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04-23-2015
10:17 AM
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Have you tried to normalize the data prior to running the indicator krig? And how many samples are you including in the analysis?
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01-06-2015
11:20 AM
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Did you guys ever figure this out - we're still having trouble with raster catalogs and the time slider...thanks!
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12-15-2014
12:55 PM
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So finish it with this part:
>>> cp = np.cumproduct(a)
>>> cp
array([ 1, 2, 6, 24, 120, 720, 5040, 40320,
362880])
>>> N = np.size(cp)
>>> N
9
>>> gm = (cp[-1])**(1.0/N)
>>> gm
4.1471662743969127
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11-07-2014
11:01 AM
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>>> raster_as_numpy_array = arcpy.RasterToNumPyArray('C:\Users\xxxxx\Downloads\q47121g52be.tif\q47121g52be.tif')
>>> raster_geometric_mean = scipy.stats.mstats.gmean(raster_as_numpy_array)
>>> raster_geometric_mean
array([ 0., 0., 0., ..., 0., 0., 0.], dtype=float16)
So I tried the above on integer and float rasters and am not sure what I did wrong there...how do you get to the gm as a single reported value? If you can't tell I am fairly new at this point to Python -thanks you guys for all your help!
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11-07-2014
10:47 AM
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Hi Curtis - I meant calculate the geometric mean of all the individual cells contained in one raster, like this: with each of those being an individual cell of my raster. I think we realized that doing this to 1.2M cells in a raster simply implodes in Python, we couldn't get the script to do more than 50 or so values at one time. Can someone out there with more programming experience explain why, or if there's a better way to do geometric mean in Python or ArcGIS? thanks!
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11-06-2014
02:13 PM
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[Fix] Bold, Blurry or Hard to Read Font Problem in Windows 8.1 - AskVG Since we started this discussion I've gotten a new 8.1 machine, and while not the ultra hi-res situation you guys have, I had noticed some blurry dialogue boxes (Device Manager, etc., scaling issues) - the above link appears to have resolved most of them for me...worth a shot.
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11-04-2014
07:53 PM
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Hi Koreen - did you figure out how to calculate the geometric mean with the raster calculator? Thanks!
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10-31-2014
11:16 AM
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Hi Amy - Did you ever find a way to do this in ArcMap?
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10-31-2014
11:13 AM
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"Whilst calculating the average of the cell a weighted distance value will be assigned to all neighboring points within the cell. In case of the max value not being located in the center of the cell, it will be weighted according to its distance from the center of the cell and nearby points. Hence the max value does not show up as the final cell value. Is this right?" I'm interested in knowing the answer to this specific part of this person's question, and what if my point is a physical sample location with analytical results (i.e. metals, petroleum, etc.) and I need to preserve these values? I believe in my case, by making the measurement error = 0 during kriging I've made it an exact interpolator - is that a correct assumption? And if so what's the process to preserve these "exact" values at my sample locations in the exported raster then if there's always going to be some averaging going on to get to a cell size, what if my sample point is not exactly in the center - is there a way to center them? It seems I've seen this in my resultant rasters where the values at my sample locations are not honored but "averaged over" during cell creation/export - could someone explain the process in this context, wherein I can preserve the exact max/min of and values of my samples at their locations? Thanks!
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10-21-2014
10:49 AM
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I typically create a color ramp on a dummy data set that contains my min-max values, then in the next/new layer simply go to properties>symbology>import and import the classification/ramp from the dummy layer to the new layer, hope that helps!
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10-21-2014
06:42 AM
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Wow, somehow I just did not see the exp10 in the raster calculator list the first time - thanks Dan!
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10-09-2014
01:27 PM
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I am trying to take some result values and log transform them with the field calculator, then krig them to a surface - I found this in the help regarding the log function: "field calculator uses the natural Log not Log10(x) try; Log ( [Area] ) / Log ( 10 )" I did that and it seemed to work, but how do I calculate the antilog or exp back correctly of the surface, I can't seem to get back to values that correlate to my original data (which ranges from 0.00001 to 0.003047) - I run: Exp("log_krig") in the raster calculator and end up with values of 0.00252001 to 0.0755711...I'm wondering if there's a reverse of the above trick to get the antilog of my surface somehow (i.e. get back from Log transformed data to original)? My mathematics are not strong...thanks for any help!
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10-09-2014
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