Earlier this week, I was trying to figure out the path of execution through a big chunk of code. Once you reach a certain size of codebase, tracking which function gets called when can be tricky. My first thought for dealing with this was to add a message line at the start of each...
Here comes another option to analyze a TimeSpace-Track with R. A lattice cloud plots every recorded trackpoint into a 3d-time-space-cube. As the data (planar point pattern) is marked with the daytime, cluster of everyday routines become visible. Here the direct comparison between a function of density and the time-space-cloud. Code example: cloud(time_hours ~ PPP_selection$x...
Beside the visualisation of TimeSpace Tracks, I’m trying to find a way to analyze GPX-Tracks with statistical software. This are the first results with R (The R Project for Statistical Computing): ^This graph is a result of the analysis with the package trip (Spatial analysis of animal track data). Unfortunatelly i’m do not understand...
This is an recent project about consumption and the categorization of consumers. The whole survey you can explore on: http://www.geographie.uni-erlangen.de/projects/konsum/ (german!). For the evaluation, R was used. “Der Verhaltensraum des Konsumenten – The Space of Consumer Behaviour” The Space shows the consumer in the center of a two dimensional abstract space. He is able...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).