MATRIC’s Aaron Barkurst recently presented at the Esri International User Conference in San Diego, Calif., a premier four-day geographic information systems (GIS) event attended by more than 14,000 people representing more than 130 countries.
Efforts to communicate uncertainty remains a persistent problem faced in the GIS community. In a presentation titled, “Using wxPython in Desktop Python Add-in for Variable Grid Method Tool,” Barkhurst presented the method and the way in which he implemented the logic, extension and toolbar for the National Energy Technology Lab’s (NETL) Variable Grid Method, developed by NETL’s Jen Bauer and Kelly Rose. Rose commented, “The presentation was well received and a home run for us (NETL).”
“A Python Addin extension and toolbar for ArcGIS was developed to apply the Variable Grid Method, which visualizes spatial patterns and trends and underlying uncertainty simultaneously,” Barkhurst said. “The custom tool UI, built with the wxPython GUI tookit, dynamically utilizes available ArcGIS extensions to create a variable grid where cell size quantitatively represents the uncertainty associated with the input data.”
– For more information on MATRIC’s GIS capabilities and Advanced Software Technologies contact Mark Dehlin.