Calibrating SLEUTH with big data: Projecting California's land use to 2100-Reference-Cited by-同舟云学术

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Calibrating SLEUTH with big data: Projecting California's land use to 2100

Published:2020-09 Issue: Volume:83 Page:101525
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Clarke Keith C.,Johnson J. Michael

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modelling,Geography, Planning and Development

Reference35 articles.

1. The impact of historical exclusion on the calibration of the SLEUTH urban growth model;Akin;International Journal of Applied Earth Observation and Geoinformation,2014

2. The SLEUTH land use change model: A review;Chaudhuri;International Journal of Environmental Resources Research,2013

3. DSLEUTH: a distributed version of SLEUTH urban growth model;Chaudhuri,2019

4. Improving SLEUTH calibration with a genetic algorithm;Clarke,2017

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1. Driving Analysis and Multi Scenario Simulation of Ecosystem Carbon Storage Changes Based on the InVEST-PLUS Coupling Model: A Case Study of Jianli City in the Jianghan Plain of China;Sustainability;2024-08-06

2. How can SHAP (SHapley Additive exPlanations) interpretations improve deep learning based urban cellular automata model?;Computers, Environment and Urban Systems;2024-07

3. Modeling urban expansion in Zahedan’s dry climate: insights from the SLEUTH model;Frontiers in Sustainable Cities;2024-04-26

4. Forecasting urban futures: Evaluating global land use data sensitivity for regional growth simulation in the Ruhr Metropolitan Area;ERDKUNDE;2024-04-24

5. Estimating and projecting the effects of urbanization on the forest habitat quality in a highly urbanized area;Urban Forestry & Urban Greening;2024-04

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