GPS track segmentation

Detection of trips and stops from a raw GPS track. Based on the original code published in Thierry, B., Chaix, B., & Kestens, Y. (2013). Detecting activity locations from raw GPS data: a novel kernel-based algorithm. International journal of health geographics, 12(1), 14 and rewritten in pure Python without dependencies to ArcGIS libraries by Janelle Berscheid.

Content

jPPA: stuff related to Antoniu Vadan's work on GPS track imputation; could be used for improving the interpolation step before segmenting the track. Copied from the jPPA subfolder of TeamINTERACT's Github/code_fragments
kHS: code related to the kernel density based segmentation algorithm (see TeamINTERACT's Github/trips-counts)
interpolation: all code related to the improved interpolation methods
test_code: comprises the various tests included in the R markdown report (see r_analysis)
r_analysis: R-markdown report of the interpolation performance