[en] SuSceMod is a Python package for modelling urban growth scenarios based on spatial planning policies. It uses machine learning algorithm of MultiNomial Logistic regression (MNL). It couples the Cellular Automata (CA) algorithm for neighbourhood interaction. The package helps to analyse, calibrate and simulate futuristic urban expansion and densification scenarios to better understand sustainable urban development goals.
Disciplines :
Architecture Earth sciences & physical geography
Author, co-author :
Chakraborty, Anasua ; Université de Liège - ULiège > Urban and Environmental Engineering
Chilakalapudi, Prabhath; Max Planck Institute for Sustainable Materials > Computational Materials Design > PhD Researcher
Teller, Jacques ; Université de Liège - ULiège > Département ArGEnCo > LEMA (Local environment management and analysis)
Language :
English
Title :
SuSceMod - A Python package for modelling urban growth scenarios for spatial planning and development
