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Yongjiu Feng
Researcher at Tongji University
Publications - 100
Citations - 2304
Yongjiu Feng is an academic researcher from Tongji University. The author has contributed to research in topics: Cellular automaton & Computer science. The author has an hindex of 22, co-authored 78 publications receiving 1473 citations. Previous affiliations of Yongjiu Feng include Shanghai Ocean University & University of Queensland.
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Modeling dynamic urban growth using cellular automata and particle swarm optimization rules
TL;DR: An improved cellular automata model of urban growth based on particle swarm optimization (PSO) approach with inertia weight is presented, demonstrating that the PSO-CA model outperforms other spatial statistical based CA models.
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Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018
Peng Gong,Bin Chen,Xuecao Li,Han Liu,Jie Wang,Jie Wang,Yuqi Bai,Jingming Chen,Xi Chen,Lei Fang,Shuailong Feng,Yongjiu Feng,Yali Gong,Hao Gu,Huabing Huang,Xiaochun Huang,Hongzan Jiao,Yingdong Kang,Guangbin Lei,Ainong Li,Xiaoting Li,Xun Li,Yuechen Li,Zhilin Li,Zhongde Li,Chong Liu,Chunxia Liu,Maochou Liu,Shuguang Liu,Wanliu Mao,Changhong Miao,Hao Ni,Qisheng Pan,Qisheng Pan,Shuhua Qi,Zhehao Ren,Zhuoran Shan,Shaoqing Shen,Minjun Shi,Yimeng Song,Mo Su,Hoi Ping Suen,Bo Sun,Fangdi Sun,Jian Sun,Lin Sun,Wenyao Sun,Tian Tian,Xiaohua Tong,Yi Hsing Tseng,Ying Tu,Hong Wang,Lan Wang,Xi Wang,Zongming Wang,Tinghai Wu,Yaowen Xie,Jian Yang,Jun Yang,Man Yuan,Wenze Yue,Hongda Zeng,Kuo Zhang,Neng Zhang,Tao Zhang,Yu Zhang,Feng Zhao,Yichen Zheng,Qiming Zhou,Nicholas Clinton,Zhiliang Zhu,Bing Xu +71 more
TL;DR: For example, in this article, the authors present a set of urban land use maps at the national and global scales that are derived from the same or consistent data sources with similar or compatible classification systems and mapping methods.
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Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China
TL;DR: A machine learning CA model with nonlinear transition rules based on least squares support vector machines (LS-SVM) to simulate such urban growth and shows that the MachCA model produces more hits and less misses and false alarms due to its capability for capturing the spatial complexity of urban dynamics.
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Shifts in soil microbial metabolic activities and community structures along a salinity gradient of irrigation water in a typical arid region of China.
TL;DR: Soil bacterial richness and diversity increased with irrigation salinity while the number of bacterial phyla decreased, and three significantly increased and two decreased and two irresponsive phyla were observed as the dominant groups in saline water irrigated soils.
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Evaluating land ecological security and examining its relationships with driving factors using GIS and generalized additive model.
TL;DR: The spatiotemporal patterns of LES in Ningbo city from 1975 to 2015 are assessed and insight is provided to help local governments optimize land-use configuration, potentially improving the environment and ecosystems and creating a more environmentally friendly city.