Xun Liang (XunGST)

XunGST

Geek Repo

Company:China University of Geosciences

Location:Wuhan

Home Page:https://www.researchgate.net/profile/Xun-Liang-3

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Xun Liang's starred repositories

infomap

Multi-level network clustering based on the Map Equation

Language:C++License:GPL-3.0Stargazers:433Issues:0Issues:0

pyecharts

🎨 Python Echarts Plotting Library

Language:PythonLicense:MITStargazers:14895Issues:0Issues:0

COVID-19-pop-outflow

Python Project for Nature manuscript

Language:PythonStargazers:3Issues:0Issues:0

Mixed_Cell_Cellullar_Automata

The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.

Stargazers:46Issues:0Issues:0

Wuhan-2019-nCoV

2019-nCoV 新冠状病毒 2019-12-01至今国家、省、市三级每日统计数据(支持接口读取)

Language:PythonLicense:MITStargazers:505Issues:0Issues:0

Patch-generating_Land_Use_Simulation_Model

The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Random Patch Seeds (CARS), which was used to understand the drivers of land expansion and project landscape dynamics.

Stargazers:130Issues:0Issues:0