Huidae Cho

I introduce a new open-source geospatial project called ProjPicker (Projection Picker). ProjPicker is a Python module that allows the user to select all coordinate reference systems (CRSs) whose extent completely contains given points, polygons, and bounding boxes using set-theoretic logical operators in a postfix notation. The goal of this project is to make it easy and visual to select a desired projection by location. This project was motivated by a GRASS GIS feature request. A new GRASS GIS module g.projpicker that wraps around this project is already available. As part of its integration with GRASS GIS, this new feature will be added to the GRASS location wizard.

The longest flow path is one of the most important geospatial parameters that is used for hydrologic analysis and modeling. However, there are not many available GIS tools that can compute this watershed parameter. At the same time, there have been almost little to no efforts in improving its computational efficiency since its first, to the presenter's best knowledge, introduction by Smith (1995) when the geospatial data resolution was relatively coarser. In this talk, the presenter introduces a new algorithm that applies Hack's law to the discovery of the longest flow path and its efficient implementation as a GRASS module called r.accumulate. He compares its performance to that of commercial ArcHydro's Longest Flow Path tool. Lastly, he introduces a proof-of-concept version of the Web-based Hydrologic Modeling System (WHydroMod) built using GRASS, PyWPS, MapServer, and OpenLayers, and discusses how r.accumulate can be used to improve the efficiency of geospatial computation for WHydroMod.