Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume 31, Issue 7, Pages 1314-1333
Publisher
Informa UK Limited
Online
2017-02-01
DOI
10.1080/13658816.2017.1283505
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A review of current calibration and validation practices in land-change modeling
- (2016) Jasper van Vliet et al. ENVIRONMENTAL MODELLING & SOFTWARE
- 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
- Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai
- (2015) Hossein Shafizadeh-Moghadam et al. International Journal of Applied Earth Observation and Geoinformation
- A partitioned and asynchronous cellular automata model for urban growth simulation
- (2015) Xinli Ke et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Integrating ensemble-urban cellular automata model with an uncertainty map to improve the performance of a single model
- (2015) Xuecao Li et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China
- (2015) Yongjiu Feng et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Changes in the global value of ecosystem services
- (2014) Robert Costanza et al. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
- Trends in soil–land-use relationships in the Netherlands between 1900 and 1990
- (2013) Martha M. Bakker et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Knowledge transfer and adaptation for land-use simulation with a logistic cellular automaton
- (2013) Xia Li 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
- Calibration of an urban cellular automaton model by using statistical techniques and a genetic algorithm. Application to a small urban settlement of NW Spain
- (2013) A. M. García et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Multi-criteria decision making based on trust and reputation in supply chain
- (2013) Liu Chang et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Calibrating cellular automata based on landscape metrics by using genetic algorithms
- (2012) Xia Li et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Simulating land-use dynamics under planning policies by integrating artificial immune systems with cellular automata
- (2010) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Cellular automata models for the simulation of real-world urban processes: A review and analysis
- (2010) Inés Santé et al. LANDSCAPE AND URBAN PLANNING
- Modeling spatial variations of urban growth patterns in Chinese cities: The case of Nanjing
- (2009) Jun Luo et al. LANDSCAPE AND URBAN PLANNING
- Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia
- (2008) Khalid Al-Ahmadi et al. Ecological Complexity
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started