Delineating urban growth boundaries with a CA-based FLUS model and morphological method
AbstractUrban growth boundaries (UGBs) have been commonly regarded as a useful tool for controlling urban sprawl. There is a need to create models tha
AbstractUrban growth boundaries (UGBs) have been commonly regarded as a useful tool for controlling urban sprawl. There is a need to create models tha
AbstractUnderstanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three
AbstractArising from rapid growth of economy and population,urban sprawl has become a major challenge for sustainable urban development in the world.
AbstractLand use and land cover change (LUCC) simulation models are effective and reproducible tools for analyzing both the causes and consequences of
Abstract城镇用地增长边界划定对城镇用地扩张调控与管理具有重要意义,但当前仍无统一划定思路与方法。基于“反规划”理念,引入FLUS模型探讨城镇用地增长边界划定思路,并以徐州市贾汪区为例,采用2009年和2014年数据对FLUS模型可靠性进行验证,对2020年研究区土地利用变化进行情景模拟,在此
摘要通过将中国划分为4个生态区,在综合考虑社会经济和自然因素的前提下,利用系统动力学的原理和方法,选取对土地利用变化影响最大的驱动因素,分区构建中国土地利用变化系统动力学模型并模拟4种发展情景下2050年中国土地利用变化情况。结果表明:在不同情景设定下,土地利用变化差异较大,其中平稳发展情景较理想,
AbstractCellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cel
AbstractGlobal land-use and land-cover change (LUCC) data are crucial for modeling a wide range of environmental conditions. So far, access to high-re
AbstractUrbanization has profoundly altered the terrestrial ecosystem carbon cycle, especially the net primary productivity (NPP). Many attempts have
Abstract城市土地利用及其变化对城市环境有着重要影响。很多学者已经结合元胞自动机和机器学习算法对城市扩 张进行了相关的模拟研究, 但针对复杂的多类土地利用相互变化过程的研究仍然较少。该文提出了一种基于随机 森林算法的多类元胞自动机( RFA2CA) 模型, 并将其用于模拟和预测复杂的多类土地利