STARE Dataframes for Geospatial Analysis
datasetposted on 10.01.2020 by Niklas Griessbaum, James Frew, Michael Rilee, Kwo-Sen Kuo, James Gallagher, Kodi Neumiller
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
PySTARE is a Python module that exposes the STARE library to Python. STARE dateframes further abstract PySTARE and provide high-level functions for users to explore and interact with STARE.
STARE dataframes represent geometries as sets of STARE
triangles or ”trixels” (analogous to GeoPandas geodataframes which represent geometries as WKT.) In
STARE dataframes, points are represented as STARE trixels at the HTM tree’s leaf level. Polygons are represented as sets of STARE trixels that cover the polygon. The trixels are stored as integerized STARE index values.
This poster was presented at the Earth Science Information Partners (ESIP) Winter Meeting held in Bethesda, MD in January 2020.