[HTML][HTML] Urban growth prediction: a review of computational models and human perceptions
D Triantakonstantis, G Mountrakis - 2012 - scirp.org
Human population continues to aggregate in urban centers. This inevitably increases the
urban footprint with significant consequences for biodiversity, climate, and environmental …
urban footprint with significant consequences for biodiversity, climate, and environmental …
[HTML][HTML] Predicting spatial and decadal LULC changes through cellular automata Markov chain models using earth observation datasets and geo-information
Remote sensing and GIS are important tools for studying land use/land cover (LULC)
change and integrating the associated driving factors for deriving useful outputs. This study …
change and integrating the associated driving factors for deriving useful outputs. This study …
Neural-network-based cellular automata for simulating multiple land use changes using GIS
This paper presents a new method to simulate the evolution of multiple land uses based on
the integration of neural networks and cellular automata using GIS. Simulation of multiple …
the integration of neural networks and cellular automata using GIS. Simulation of multiple …
Prediction of land use changes based on land change modeler (LCM) using remote sensing: A case study of Muzaffarpur (Bihar), India
Land use change models are tools to support the analysis of the causes and consequences
of land use dynamics. Land use and land cover change (LUCC) has been recognized as an …
of land use dynamics. Land use and land cover change (LUCC) has been recognized as an …
Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model
The spatiotemporal variation of any landscape patterns is as a result of complex interactions
of social, economic, demographic, technological, political, biophysical and cultural factors …
of social, economic, demographic, technological, political, biophysical and cultural factors …
[PDF][PDF] 基于系统动力学模型和元胞自动机模型的土地利用情景模型研究
何春阳， 史培军， 陈晋， 潘耀忠， 李晓兵， 李京， 李月臣… - 2005 - espre.bnu.edu.cn
摘要综合自上而下的系统动力学模型和自下而上的元胞自动机模型, 从宏观用地总量需求和微观
土地供给相平衡的角度, 充分利用系统动力学模型在情景模拟和宏观驱动因素反映上的优势与元 …
土地供给相平衡的角度, 充分利用系统动力学模型在情景模拟和宏观驱动因素反映上的优势与元 …
Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India
Abstract An integrated Markov Chain and Cellular Automata modelling (CA MARKOV),
multicriteria evaluation techniques have been applied to produce transition probability. The …
multicriteria evaluation techniques have been applied to produce transition probability. The …
Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era
J Liu, J Zhan, X Deng - AMBIO: a journal of the human environment, 2005 - BioOne
Along with its economic reform, China has experienced a rapid urbanization. This study
mapped urban land expansion in China using high-resolution Landsat Thematic Mapper …
mapped urban land expansion in China using high-resolution Landsat Thematic Mapper …
Monitoring and modelling spatio-temporal urban growth of Delhi using Cellular Automata and geoinformatics
P Tripathy, A Kumar - Cities, 2019 - Elsevier
The study encompasses spatio-temporal land use/land cover (LULC) monitoring (1989–
2014) and urban growth modelling (1994–2024) of Delhi, India to deduce the past and …
2014) and urban growth modelling (1994–2024) of Delhi, India to deduce the past and …
Agent‐based models and the spatial sciences
PM Torrens - Geography Compass, 2010 - Wiley Online Library
Agent‐based models (ABMs) are used in the spatial sciences as building‐blocks for
computer simulation. ABMs have a range of advantageous attributes, not least of which is …
computer simulation. ABMs have a range of advantageous attributes, not least of which is …