A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area

A gradient boosting decision tree based GPS signal reception classification algorithm

(2019) Rui Sun et al.   APPLIED SOFT COMPUTING

Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting

(2018) Stefanos Georganos et al.   IEEE Geoscience and Remote Sensing Letters

Theoretical foundations of human decision-making in agent-based land use models – A review

(2017) J. Groeneveld et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A comparative approach to modelling multiple urban land use changes using tree-based methods and cellular automata: the case of Greater Tokyo Area

(2017) Guodong Du et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Investigation on the Expansion of Urban Construction Land Use Based on the CART-CA Model

(2017) Yongxiang Yao et al.   ISPRS International Journal of Geo-Information

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

A gradient boosting logit model to investigate driver’s stop-or-run behavior at signalized intersections using high-resolution traffic data

(2016) Chuan Ding et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Efficient Construction of Decision Trees by the Dual Information Distance Method

(2016) Irad Ben-Gal et al.   Quality Technology and Quantitative Management

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

A gradient boosting method to improve travel time prediction

(2015) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Simulating Urban Growth Using a Random Forest-Cellular Automata (RF-CA) Model

(2015) Courage Kamusoko et al.   ISPRS International Journal of Geo-Information

A systematic sensitivity analysis of constrained cellular automata model for urban growth simulation based on different transition rules

(2014) Xuecao Li et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

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

Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea

(2010) Soyoung Park et al.   LANDSCAPE AND URBAN PLANNING

Comparison between M5′ model tree and neural networks for prediction of significant wave height in Lake Superior

(2009) A. Etemad-Shahidi et al.   OCEAN ENGINEERING

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY