Welcome to SLEUTsH: Railway-induced urban growth for SLEUTH’s documentation!

Note

This page is designed only for users who are already familiar with the SLEUTH model and have experienced implementing them smoothly in their system.

Introduction

The SLEUTH model is a cellular-automata model widely used to model and predict changes in land cover and urban cover. The model was developed (Clarke et al., 1997) by Dr. Keith C. Clarke, who continues advancing the model at the University of California, Santa Barbara, Department of Geography. Dr. Clarke’s group has developed its latest version of SLEUTH that can speed up the calibration phase through a widely known machine-learning algorithm called genetic algorithm (GA).

SLEUTsH (Varquez et al., 2020; Varquez et al., 2023) is a version of the original SLEUTH model, expanded to contain railway-induced urban growth. This version is represented by a patch file of the original source code to include a growth rule, which considers urban growth at surrounding railway stations that are represented as one of the standard inputs (.gif format) of the model.

This page is designed for users to follow the work and motivate advancement of railway transport representation in urban growth models, not limited to the SLEUTH model.

Disclaimer

The real world is a complex system. There is no guarantee that the predictions will reflect the actual future. Hence, users are advised to conduct sensitivity experiments and implement other urban growth models to increase plausibility of the forecasts. With this, the developers are not held responsible for any decisions based on the model