traviz is my Google Summer of Code 2020 project. To see the project abstract, use the following link https://summerofcode.withgoogle.com/projects/#5517386007969792

traviz contains two classes to store trajectories:

• sfTrack- store an individual track/trajectory
• sfTracks- store a collection of sfTrack objects (trajectories)

sfTrack and sfTracks generic methods include:

• sf::- st_transform, st_coordinates, st_intersection, st_distance, st_bbox, st_length (https://github.com/r-spatial/sf)
• pv_stcube- point value space time cube
• vscube- value space cube
• cluster- clustering of Tracks

traviz also contains convertor methods:

• geodata_to_sf- converts geographic point data to a trajectory in sf format
• sf_to_rasterize- converts sf data to raster point data
• sfTrack and sfTracks coercion methods: coerce classes to data.frame, sf, Track, geojson

The main methods of traviz perform the following:

• Aggregation and subsetting of trajectories or trajectory point values
• Plotting of individual trajectories or a collection of trajectories
• Rasterization of point values in trajectories
• Visualization of trajectories through space time cubes, animations, and options for multiple projections
• Heatmap, hotspot, and density visualization

Introductory blog post

Midterm blog post

Final blog post

Weekly progress status for Google Summer of Code 2020

To install the most current version:

devtools::install_github("JamMurz/traviz")