Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation-Reference-Cited by-同舟云学术

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Coupling cellular automata with area partitioning and spatiotemporal convolution for dynamic land use change simulation

Published:2020-06 Issue: Volume:722 Page:137738
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Qian Yuehui,Xing Weiran,Guan Xuefeng^ORCID,Yang Tingting,Wu Huayi

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference55 articles.

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2. Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an analytical hierarchy process and frequency ratio;Aburas;International Journal of Applied Earth Observation Geoinformation,2017

3. Spatio-temporal simulation and prediction of land-use change using conventional and machine learning models: a review;Aburas;Environ. Monit. Assess.,2019

4. Evolution of land use-change modeling: routes of different schools of knowledge;Azadi;Landsc. Ecol. Eng.,2017

5. Shanghai Statistical Yearbook 2015;Bureau SS,2016

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