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Welcome to the trackintel wiki!

trackintel is a framework for the processing of human mobility and movement data. It is split into the different steps of a typical processing pipeline, and assumes that data is available adhering to the trackintel data model format:

• Preprocessing (filtering, outlier detection, imputation of missing values)
• Contextual Augmentation (map matching, trajectory algebra-based context addition)
• Analysis (extraction of mobility metrics and descriptors, preferences, systematic mobility)
• Visualization and Communication (generation of maps, charts, etc.)

Non-standardized methods and algorithms are explicitly denoted as experimental and (whenever possible) separated from the standardized methods.

For information about the trackintel data models that are used throughout the framework, please refer to the Data Model page. For a quick deployment to a PostGIS database, you can use the SQL commands given at Data Model page (SQL).

For general notes, please refer to the Notes page.