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I suspect that the problem areas are where buffers overlap, there is a thread on the forum somewhere about tabulate area with overlapping polygons which addresses this issue since buffers can't overlap in raster world for sure. I can't put my hands on the thread right now but the solution to this issue has been addressed before EDIT try this thread http://forums.arcgis.com/threads/60035-zonal-statistics-with-overlapping-polygons
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12-20-2013
05:40 AM
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2268
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How were those areas calculated? Do any of the buffers overlap? Is the source a raster data set? I am less interested in the xls file but in how the numbers were derived prior to export to ensure that the error is not associated with the input features and their areas
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12-20-2013
05:05 AM
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calculate the area of your buffers, I suspect that they don't match exactly to your number since buffers are represented by n-gons (36 sided polygons often) and the buffer area will be slightly less than the theoretical value. See if this accounts for your difference.
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12-20-2013
03:30 AM
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2268
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No...code blocks is an html formatting code which you use to highlight your code on this forum. Posting a *.py script just causes it to run (and fail) and people are less inclined to download...save...and debug code that could be viewed if properly documented and formatted on this site. On an aside...this code is quite long...at what line did you first start getting error messages and are they all documented?
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12-17-2013
09:14 PM
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Insert your code in code blocks, it is largely unreadable since it lacks proper indentation etc
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12-17-2013
08:38 PM
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That is a new error...did this script ever work in stages? You might want to post what you are trying to do and a complete list of the error messages...I suspect your code isn't using "try...except" blocks so you can trap errors and their nature during execution
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12-17-2013
08:23 PM
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From the error message you appear to be trying to concatenate a string and a number. I suspect "raw" is a number, hence it needs to be converted to a string using str(raw) prior to combining them
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12-17-2013
07:36 PM
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2164
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The shortest path through a set of points is their Euclidean Distance represented by a Spanning Tree http://www.arcgis.com/home/item.html?id=6ce9db93533345e49350d30a07fc913a If you need to follow a network path, then the Network Analyst is your choice
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12-17-2013
01:20 PM
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793
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All densify programs will retain the original points and add auxiliary points as needed. I sounds like you want to remove the points that make up the original shapefile, however, this will change the shape of the original polyline which is not appropriate nor desired. You will need to filter out those points, however the interpoint distance between two densified points may not be accurate if you remove one of the original points. You will have to clarify what you want to do if densification is not appropriate
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12-15-2013
10:49 PM
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4459
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Does this tool set return the same results? http://www.arcgis.com/home/item.html?id=78a1185b95eb4bf18c7340353ab2364d
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12-15-2013
09:53 PM
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4459
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try saving it to a comma-separated values file (.csv)
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12-12-2013
06:41 AM
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4402
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check the examples in calculatefield_management, I think your double quotes are wrong in the expression
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12-03-2013
07:15 PM
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686
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use projected data and determine whether there is any pattern plotted as a function of distance between the points. Are you looking for a trend? is there an expected pattern? Interpolation, as pointed out is not going to work if you have a linear pattern of points, perhaps a simple map showing the concentrations via symbology might work.
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12-01-2013
12:52 PM
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684
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Then focus less on the statistical parameters and more on what might cause the variations in your data...people get hung up on the numbers too often and sometimes fails to see other interesting avenues of investigation when things don't seem to go as expected....good luck
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11-24-2013
06:20 PM
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I would examine the data more carefully, perhaps the perceived transition point isn't as you suspect. Partitioning based upon some arbitrary break point isn't wise either
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11-24-2013
06:09 PM
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