yurpl / traviz

General purpose trajectory analytics toolbox

traviz

Google Summer of Code 2020

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

A general purpose trajectory analytics toolbox

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

Blog posts:

Introductory blog post

Midterm blog post

Final blog post

Weekly progress status

Weekly progress status for Google Summer of Code 2020

Installation

To install the most current version:

devtools::install_github("JamMurz/traviz")