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ShaunWalbridge
Esri Regular Contributor
since
07-04-2014
Thursday
484
Posts created
67
Kudos given
59
Solutions
203
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My Ideas
(0 Idea Submissions)Latest Contributions by ShaunWalbridge
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You could subclass arcpy.Array to include a __getitem__ method, and then handle slicing and indexing there, if you want to be Pythonic about accessing the elements. However, Mark's solution is probably the simplest answer. cheers, Shaun
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07-01-2013
11:49 AM
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For these kinds of tasks, the best practice is to use script tool parameters in a geoprocessing tool which accepts the input you want. If you're learning Python, and do want to accept command line input, the Python window embedded in ArcGIS probably isn't the best place to start. You should have a python.exe included in the installation, and if you run that from the command line, then you can perform basic python operations like this: var = raw_input("Enter your weight: ") cheers, Shaun
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06-26-2013
11:04 PM
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Sam, Can you provide a small sample of data that contains the issue you're seeing? cheers, Shaun
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06-26-2013
09:22 PM
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Having an issue getting subsequent tables to add to HTML with each metadata details for each XML file. Just open a single file handle, and use that to write all of your data: fh = open(r'D:\Temp\CSD_HTML\file.html', 'wb') Don't reopen the handle throughout the script, it isn't necessary here, and in the last block when you open the file 'wb' you're effectively truncating the rest of the file prior to closing. You can just use the single 'fh' object throughout your script, and be in fine shape. cheers, Shaun
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06-25-2013
09:21 PM
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Try changing the symbology on your raster to include all the values in your range, and you should see the smaller flow accumulation values. Generally, it's most useful to visualize the flow accumulation after thresholding the data, as is being done in the image you attached. cheers, Shaun
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06-25-2013
09:19 AM
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On my 10.1 install, Spyder 2.2 installs without problems and is directly usable with arcpy without any path changes necessary. cheers, Shauin
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06-25-2013
08:48 AM
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Miguel, The Shannon diversity index was originally designed to handle species diversity, but it has since been applied to other problems like land cover classification. Where you see 'species' you can think 'land cover class' and the same concepts apply. Vegan includes details on how its calculations are computed, and these shouldn't vary between different kinds of entities -- species or land cover classes. Diversity indicies measure similarity in categorical variables, and have been used to measure many things outside of ecology including land cover and demography. cheers, Shaun
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06-24-2013
10:53 PM
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I don't believe this is an ArcGIS specific problem, but this question on StackOverflow seems to have a solution. cheers, Shaun
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06-24-2013
07:41 PM
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If you use the Near tool, the output includes NEAR_FID which should answer #1, and NEAR_DIST which should provide #2. Depending on your input data, you may need to first run multipart to singlepart to separate your geometries into individual polygons. cheers, Shaun
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06-24-2013
07:19 AM
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The Marine Geospatial Ecology Tools (MGET) include a geoprocessing script, "Calculate Species Diversity Index for Polygons" that can compute Species Diversity Indices for polygon coverage data. Under the hood, that function uses the R vegan package to compute the measures. cheers, Shaun
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06-21-2013
01:21 PM
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From the results pane, you can right click on an executed command and select 'Copy As Python Snippet' to get the relevant Arcpy method and parameters. You could also set up a basic model using Model Builder which could run each step sequentially that you're using. cheers, Shaun
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06-21-2013
01:13 PM
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Great solution Curtis. This also can be a time that the collections module can come in handy, it provides OrderedDict for cases where you want things sorted: import collections
d = dict((x.name, x) for x in layers)
od = collections.OrderedDict(sorted(d.items())) Now od can be accessed sequentially and retains the relationship between name and layer.
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06-21-2013
11:36 AM
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ArcPy doesn't provide direct access to the metadata elements, but the broad suite of existing XML tools provided with Python should help. ElementTree in particular is worth looking at for XML manupulation. If you're using standard Esri metadata, you might be interested in this metadata script on GIS.SE which shows how to access elements of metadata documents. cheers, Shaun
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06-20-2013
10:45 PM
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