trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
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Updated
Dec 6, 2024 - Python
trackintel is a framework for spatio-temporal analysis of movement trajectory and mobility data.
This is the excersice of the Historical GIS chapter "The Network of UNESCO Sites – Changes and Patterns visualized with Cartograms"
São Paulo's bike-sharing system analysis to identify usage patterns, infrastructure correlations, and factors influencing trip volume, aim to support the system's expansion. It uses data from bike stations and lanes, public transport, and Points of Interest, with Python tools, like geopandas and folium, for data processing and visualization.
This is my geodata processing using python
python code to read and show shapefiles for analysis using geopandas and matplotlib
This repository contains the code that I wrote in one of my Geocomputing course (Geog573). It contains my customized K-means clustering and demonstrats my ability to use machine learning package (Scikit-learn).
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