标题
Simulating urban dynamics by coupling top-down and bottom-up strategies
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume 33, Issue 11, Pages 2259-2283
出版商
Informa UK Limited
发表日期
2019-08-02
DOI
10.1080/13658816.2019.1647540
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model
- (2018) Xun Liang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Developing China’s Ecological Redline Policy using ecosystem services assessments for land use planning
- (2018) Yang Bai et al. Nature Communications
- Tele-connecting China's future urban growth to impacts on ecosystem services under the shared socioeconomic pathways
- (2018) Yimin Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics
- (2017) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Calibrating a Land Parcel Cellular Automaton (LP-CA) for urban growth simulation based on ensemble learning
- (2017) Yimin Chen et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Experiences and issues of using cellular automata for assisting urban and regional planning in China
- (2017) Xia Li et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
- (2017) Xiaoping Liu et al. LANDSCAPE AND URBAN PLANNING
- Sustainability in an urbanizing planet
- (2017) Karen C. Seto et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China
- (2017) Yuan Gao et al. International Journal of Environmental Research and Public Health
- Capturing the varying effects of driving forces over time for the simulation of urban growth by using survival analysis and cellular automata
- (2016) Yimin Chen et al. LANDSCAPE AND URBAN PLANNING
- Future urban land expansion and implications for global croplands
- (2016) Christopher Bren d’Amour et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Multi-order Landscape Expansion Index: Characterizing urban expansion dynamics
- (2015) Limin Jiao et al. LANDSCAPE AND URBAN PLANNING
- Urban land density function: A new method to characterize urban expansion
- (2015) Limin Jiao LANDSCAPE AND URBAN PLANNING
- Modeling the impacts of drying trend scenarios on land systems in northern China using an integrated SD and CA model
- (2014) QingXu Huang et al. Science China-Earth Sciences
- A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment
- (2013) Bryan C. Pijanowski et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata
- (2013) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy
- (2013) Yimin Chen et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A multi-type ant colony optimization (MACO) method for optimal land use allocation in large areas
- (2012) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modeling urban land use conversion of Daqing City, China: a comparative analysis of “top-down” and “bottom-up” approaches
- (2012) Wenliang Li et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- A bottom‐up approach to discover transition rules of cellular automata using ant intelligence
- (2008) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Global Change and the Ecology of Cities
- (2008) N. B. Grimm et al. SCIENCE
- Cellular automata for simulating land use changes based on support vector machines
- (2007) Qingsheng Yang et al. COMPUTERS & GEOSCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More