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facilitating predictions of parameters using statistical models
streamline the DSM process in ArcGIS/Numpy/GDAL/Python using
Sampling, Statistical elaboration, Prediction
to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to
i) manually calculate the equations using Raster calculator;
ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid conversion process.
Copy multiples feature classes in ArcSDE to a local file geodatabase
Why use it?
You can create your own Python script using modelbuilder, but you have to modify the script everytime you want to dump different tables. Using this script you only need to have a CSV with all the table names, that’s it.
Purpose:
It can be used as an archival and historical database
It will make you ArcSDE database portable and shareable
QGis Python Plugin to create named map themes to switch the visibility of all layers belonging to theme.
Experimental working prototype with functionality to include in future version of QGIS.
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