Comparing support vector machines with logistic regression for calibrating cellular automata land use change models

Spatio-temporal urban growth dynamics of Lagos Metropolitan Region of Nigeria based on Hybrid methods for LULC modeling and prediction

(2018) Jianzhu Wang et al.   European Journal of Remote Sensing

Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

(2017) Edwin Raczko et al.   European Journal of Remote Sensing

The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review

(2016) Maher Milad Aburas et al.   International Journal of Applied Earth Observation and Geoinformation

Cellular automata modeling approaches to forecast urban growth for adana, Turkey: A comparative approach

(2016) Süha Berberoğlu et al.   LANDSCAPE AND URBAN PLANNING

Can CA describe collective effects of polluting agents?

(2015) A. Troisi   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

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

CA-PRI, A CELLULAR AUTOMATA PHENOMENOLOGICAL RESEARCH INVESTIGATION: SIMULATION RESULTS

(2013) G. IANNONE et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

(2012) Jamal Jokar Arsanjani et al.   International Journal of Applied Earth Observation and Geoinformation

Urban growth of Kampala, Uganda: Pattern analysis and scenario development

(2012) Karolien Vermeiren et al.   LANDSCAPE AND URBAN PLANNING

Simulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China

(2012) Haijun Wang et al.   LANDSCAPE AND URBAN PLANNING

AN URBAN GROWTH MODEL BASED ON A CELLULAR AUTOMATA PHENOMENOLOGICAL FRAMEWORK

(2011) G. IANNONE et al.   INTERNATIONAL JOURNAL OF MODERN PHYSICS C

Modeling dynamic urban growth using cellular automata and particle swarm optimization rules

(2011) Yongjiu Feng et al.   LANDSCAPE AND URBAN PLANNING

Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data

(2010) Björn Waske et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Modelling urban expansion using a multi agent-based model in the city of Changsha

(2010) Honghui Zhang et al.   Journal of Geographical Sciences

Cellular automata models for the simulation of real-world urban processes: A review and analysis

(2010) Inés Santé et al.   LANDSCAPE AND URBAN PLANNING

Support vector machines for urban growth modeling

(2009) Bo Huang et al.   GEOINFORMATICA

Detecting and modelling spatial patterns of urban sprawl in highly fragmented areas: A case study in the Flanders–Brussels region

(2009) Lien Poelmans et al.   LANDSCAPE AND URBAN PLANNING

Optimal feature selection for support vector machines

(2009) Minh Hoai Nguyen et al.   PATTERN RECOGNITION

Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies

(2008) T Verplancke et al.   BMC Medical Informatics and Decision Making

Simulating complex urban development using kernel-based non-linear cellular automata

(2008) Xiaoping Liu et al.   ECOLOGICAL MODELLING

Cellular automata for simulating land use changes based on support vector machines

(2007) Qingsheng Yang et al.   COMPUTERS & GEOSCIENCES

The morphology of built-up landscapes in Wallonia (Belgium): A classification using fractal indices

(2007) Isabelle Thomas et al.   LANDSCAPE AND URBAN PLANNING