Geospatial Data Visualization Examples in Python (and various packages)
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Updated
Nov 6, 2018 - Jupyter Notebook
Geospatial Data Visualization Examples in Python (and various packages)
Repositório com códigos utilizados para apresentação no Grupo de Estudos de Aprendizado de Maquina (GEAM)
An open-source street network and 2019 ACS analysis of the SoCal EVCS system
Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap
A Multiple Centrality Assestment of different US cities. The code included is part of the data analysis process of the thesis: "Decoding City Network: Exploring Urban Structure and Spatial Event Interplay Through Multiple Centrality Assessment"
공공자전거를 통한 최적 거리, 정류소 현황 등을 제공하는 프로젝트입니다.
This Repository is about the final project of my Geocomputing course, demonstrating my ability to utilize Python libraries to visualize, manipulate data and perform data analysis
Notebook to make beautiful maps using Networkx's closeness centrality functions in a OSMNx shell.
Real time python application for understanding if and where an earthquake happened. It analyzes Twitter posts to get an earthquake affected area and then plots this area and roads to reach it from the nearest capitals.
Shortest path calculation and route plotting, in interactive Folium map, based on NetworkX's Dijkstra's pathfinding algorithm.
Comparing public rights of way (PRoW) with public recorded GPS activity data to support campaigns reclaiming public rights of way using Python geospatial libraries.
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