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Installing the multidimensional tools service package in Arc #13

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tavajava opened this issue May 5, 2015 · 4 comments
Open

Installing the multidimensional tools service package in Arc #13

tavajava opened this issue May 5, 2015 · 4 comments

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@tavajava
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tavajava commented May 5, 2015

Hi all

Im in a bit of a pickle. I'm graduating late, and I'm at a roadblock for my thesis. I need to pull netcdf files into Arc to visualize some results. I've downloaded both the zipped open2arc folder an the multidimensional tool service package, but now I'm stuck.

Although I am somewhat familiar with Arc, I have no experience with python or programming. Which text file from the folders I downloaded need to be copy and pasted into the python window under the "geoprocessing" tab in order to make the tools available for use?

Any suggestions are appreciated!

Thanks in advance!
Ashley

@scw
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scw commented May 5, 2015

Hi @tavajava,

If you're on ArcGIS 10.3, then the core NetCDF libraries are included with ArcGIS, and the multidimensional toolbox should have what you need directly. In terms of how to use toolboxes, you'll want to open the catalog window to the appropriate location on disk that the toolbox is located in. From there, you can add the tools like you would any other Geoprocessing tool. You should be able to use both this tool and the supplemental toolbox without needing to do any direct Python programming.

If you have any further questions, why don't we move this to email? [email protected].

Hope this helps,
Shaun

@rsignell-usgs
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@tavajava, what exactly are you trying to do for your thesis with these tools?

@rsignell-usgs
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@tavajava, the dap2tin tool was meant to serve as an example of how to import unstructured grid model output into Arc TIN, but it needs customization for each model (e.g. what the lon,lat, connectivity variables are called, etc). I modified the code to read an example ADCIRC model result I had access to, and called the resulting toolbox "adcirc2tin.pyt".
https://github.com/rsignell-usgs/dap2arc/blob/master/src/adcirc2tin.pyt

I found out that the approach we are using is very slow for grids this size, taking about 7 minutes to load a single time step from this 400,000 node model. See issue #14.

I also found that LandXMLtoTin did not like having "nan" values, so I converted these to 0.0, which is suboptimal. @scw, does TIN support missing values somehow?
I got around it here in the symbology by removing the class that brackets zero:
5-8-2015 5-48-49 pm

I'd be interested in seeing if you can use this modified version with your own adcirc results:

@rsignell-usgs
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@tavajava, okay to close this issue?

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