Yongjiu Feng(冯永玖)
Yongjiu Feng(冯永玖)
Zweryfikowany adres z tongji.edu.cn
Cytowane przez
Cytowane przez
Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018
P Gong, B Chen, X Li, H Liu, J Wang, Y Bai, J Chen, X Chen, L Fang, ...
Science Bulletin 65 (3), 182-187, 2020
Modeling dynamic urban growth using cellular automata and particle swarm optimization rules
Y Feng, Y Liu, X Tong, M Liu, S Deng
Landscape and Urban Planning 102 (3), 188-196, 2011
A review of assessment methods for cellular automata models of land-use change and urban growth
X Tong, Y Feng
International Journal of Geographical Information Science, 2020
Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China
Y Feng, Y Liu, M Batty
Stochastic Environmental Research and Risk Assessment 30 (5), 1387-1400, 2016
Evaluating land ecological security and examining its relationships with driving factors using GIS and generalized additive model
Y Feng, Q Yang, X Tong, L Chen
Science of the Total Environment 633, 1469-1479, 2018
A neural network and landscape metrics to propose a flexible urban growth boundary: A case study
S Chakraborti, DN Das, B Mondal, H Shafizadeh-Moghadam, Y Feng
Ecological Indicators 93, 952-965, 2018
Spatiotemporal variation of landscape patterns and their spatial determinants in Shanghai, China
Y Feng, Y Liu, X Tong
Ecological Indicators 87, 22-32, 2018
Shifts in soil microbial metabolic activities and community structures along a salinity gradient of irrigation water in a typical arid region of China
L Chen, C Li, Q Feng, Y Wei, H Zheng, Y Zhao, Y Feng, H Li
Science of the Total Environment 598, 64–70, 2017
Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules
Y Feng, X Tong
GIScience & Remote Sensing 55 (5), 678-698, 2018
Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics
Y Feng, Y Liu
Ecological Indicators 53, 18-27, 2015
Spatial patterns of land surface temperature and their influencing factors: A case study in Suzhou, China
Y Feng, C Gao, X Tong, S Chen, Z Lei, J Wang
Remote Sensing 11 (2), 182, 2019
A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing
Y Feng, Y Liu
International Journal of Geographical Information Science 27 (3), 449-466, 2013
Modeling changes in China’s 2000-2030 carbon stock caused by land use change
Y Feng, S Chen, X Tong, Z Lei, C Gao, J Wang
Journal of Cleaner Production 252, 119659, 2020
Spatially-explicit simulation of urban growth through self-adaptive genetic algorithm and cellular automata modelling
Y Liu, Y Feng, RG Pontius Jr
Land 3 (3), 719-738, 2014
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR
C Gao, Y Feng, X Tong, Z Lei, S Chen, S Zhai
Computers, Environment and Urban Systems 81, 101459, 2020
A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods
Y Feng, X Tong
International Journal of Geographical Information Science, 2019
Projection of land surface temperature considering the effects of future land change in the Taihu Lake Basin of China
Y Feng, H Li, X Tong, L Chen, Y Liu
Global and Planetary Change 167, 24-34, 2018
Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta
Y Feng, Y Liu, X Tong
Computers, Environment and Urban Systems 70, 138-150, 2018
A logistic based cellular automata model for continuous urban growth simulation: A case study of the Gold Coast City, Australia
Y Liu, Y Feng
Agent-based Models of Geographical Systems, 643-662, 2012
Spatially-explicit modeling and intensity analysis of China's land use change 2000-2050
Y Feng, Z Lei, X Tong, C Gao, S Chen, J Wang, S Wang
Journal of Environmental Management, 2020
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