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Installation

  • Installation

Example

  • Example gallery
    • Basic
      • 1 Processing & visualizing taxi GPS data
      • 2 Grid-base processing framework of TransBigData
      • 3 Trajectory processing using TransBigData
      • 4 Generate and rotate triangle and hexagon grids
      • 5 Optimize gridding params
    • Advanced
      • 6 Mobile phone data processing
      • 7 Modeling for subway network topology
      • 8 Community detection for bicycle-sharing demand
      • 9 Identifying arrival and departure information from Bus GPS data
      • 10 Mapmatching of taxi GPS data

Core Methods

  • Data Gridding
  • Trajectory Processing

General Methods

  • Data Quality
  • Data Preprocess
  • Data Acquisition
  • GIS Processing
  • Load the basemap
  • Coordinates and Distances
  • Data Visualization
  • Activity
  • Data Aggregating
  • Others

Methods for specific data

  • Mobilephone data processing
  • Taxi GPS data processing
  • Bike-sharing data processing
  • Bus GPS data processing
  • Bus and subway network topology modeling
TransBigData
  • Example gallery
  • Edit on GitHub

Example gallery

Here are some examples showing what you can do with TransBigData. The ipynb and Data are in This link

Basic

1 Processing & visualizing taxi GPS data
2 Grid-base processing framework of TransBigData
3 Trajectory processing using TransBigData
4 Generate and rotate triangle and hexagon grids
5 Optimize gridding params

Advanced

6 Mobile phone data processing
7 Modeling for subway network topology
8 Community detection for bicycle-sharing demand
9 Identifying arrival and departure information from Bus GPS data
10 Mapmatching of taxi GPS data
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