README.md

In JamMurz/traviz: 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")

JamMurz/traviz documentation built on Sept. 11, 2020, 6:56 a.m.