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人口集聚对中国城市经济增长的影响分析
摘要人口集聚是新经济地理学关注的焦点，由于连续年份城市建设用地数据难以获取等原因，目前仍无法明确人口集聚是否促进了中国城市经济增长。采用消除连续年份时空异质性的DMSP/OLS夜间灯光数据方法所提取的建设用地等数据，通过构建人口密度影响地均收入水平的理论模型，分析2005-2013年间人口集聚对中国
地理模拟 (Urban Simulation)
A time series of urban extent in China using DSMP/OLS nighttime light data
AbstractUrban extent data play an important role in urban management and urban studies, such as monitoring the process of urbanization and changes in
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
Simulating urban expansion and impact on functional connectivity in the Three Gorges Reservoir Area
AbstractUnderstanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three
FLUS-UGB多情景模拟的珠江三角洲城市增长边界划定
AbstractArising from rapid growth of economy and population，urban sprawl has become a major challenge for sustainable urban development in the world.
A future land use simulation model for simulating land use scenarios by human and natural effects
AbstractLand use and land cover change (LUCC) simulation models are effective and reproducible tools for analyzing both the causes and consequences of
基于“反规划”理念及FLUS模型的城镇用地增长边界划定研究
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
基于SD模型的中国2010—2050年土地利用变化情景模拟
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，
Simulating land-use changes by integrating dynamic land parcel subdivision and vector-based CA
AbstractCellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cel
A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100
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