PSOLA: A Heuristic Land-Use Allocation Model Using Patch-Level Operations and Knowledge-Informed Rules
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
PSOLA: A Heuristic Land-Use Allocation Model Using Patch-Level Operations and Knowledge-Informed Rules
Authors
Keywords
Land use, Forest ecology, Orchards, Forests, Urban ecology, Economics, Optimization, Theoretical ecology
Journal
PLoS One
Volume 11, Issue 6, Pages e0157728
Publisher
Public Library of Science (PLoS)
Online
2016-06-21
DOI
10.1371/journal.pone.0157728
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparing three global parametric and local non-parametric models to simulate land use change in diverse areas of the world
- (2014) Amin Tayyebi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Combining system dynamics and hybrid particle swarm optimization for land use allocation
- (2013) Xiaoping Liu et al. ECOLOGICAL MODELLING
- 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
- Modeling multiple land use changes using ANN, CART and MARS: Comparing tradeoffs in goodness of fit and explanatory power of data mining tools
- (2013) Amin Tayyebi et al. International Journal of Applied Earth Observation and Geoinformation
- Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata
- (2013) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A modified particle swarm optimization algorithm for optimal allocation of earthquake emergency shelters
- (2012) Fuyu Hu 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
- Allocation of urban land uses by Multi-Objective Particle Swarm Optimization algorithm
- (2012) Zohreh Masoomi et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- An improved artificial immune system for seeking the Pareto front of land-use allocation problem in large areas
- (2012) Kangning Huang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Optimal land use allocation of urban fringe in Guangzhou
- (2012) Jianzhou Gong et al. Journal of Geographical Sciences
- Interval-Parameter Linear Optimization Model with Stochastic Vertices for Land and Water Resources Allocation Under Dual Uncertainty
- (2011) Yan Han et al. ENVIRONMENTAL ENGINEERING SCIENCE
- Zoning farmland protection under spatial constraints by integrating remote sensing, GIS and artificial immune systems
- (2011) Xiaoping Liu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II
- (2011) Kai Cao et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Land use allocation based on interval multi-objective linear programming model: A case study of Pi County in Sichuan Province
- (2010) Hongrui Wang et al. Chinese Geographical 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
- GIS-based planning support system for rural land-use allocation
- (2008) Inés Santé-Riveira et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spatial optimization as a generative technique for sustainable multiobjective land‐use allocation
- (2008) Arika Ligmann‐Zielinska et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Swarm intelligence for classification of remote sensing data
- (2007) XiaoPing Liu et al. Science in China. Series D, Earth sciences / Chinese Academy of Sciences
Publish 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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started