冯永玖

发布者:老师发布时间:2016-10-13浏览次数:549

冯永玖男,博士,上海海洋大学副教授,澳大利亚昆士兰大学荣誉副教授,研究方向为遥感与地理信息系统、地理模拟与时空分析。主持国家自然基金、教育部、上海科委等科研项目,发表科研论文60余篇(EI收录21篇、SCI收录23篇),教改论文6获上海市科技进步三等奖,专利授权4项。入选上海海洋大学优秀青年骨干教师“海燕”计划、高峰学科核心成员。

1、教育与工作经历

1998/092009/03

同济大学测绘与地理信息学院,学士、硕士、博士

2009/012009/03

新加坡南洋理工大学,访问学者

2015/112016/11

澳大利亚昆士兰大学,访问学者

2011/082012/07

卫星海洋环境动力学国家重点实验室,访问学者

2009/06

上海海洋大学海洋科学学院,讲师副教授、专业负责人

2017/10

澳大利亚昆士兰大学,荣誉副教授(Honorary Associate Professor)

2代表性论文

更多论文见本人学术身份识别码:http://orcid.org/0000-0001-8772-7218

[1]

Yongjiu Feng, Tong X. (2018). Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules. GIScience & Remote Sensing, Accepted, (SCI)

[2]

Yongjiu Feng, Yang Liu, Tong X. (2018). Spatiotemporal variation of landscape patterns and their spatial determinants in Shanghai, China. Ecological Indicators, Accepted (SCI)

[3]

Yongjiu Feng. (2017). Modelling dynamic urban land use change with geographical cellular automata and generalized pattern search optimized rules. International Journal of Geographical Information Science, 31(6): 1198-1219. (SCI)

[4]

Yongjiu Feng, Tong X. (2017).Using exploratory regression to identify optimal driving factors for cellular automata modeling of land use change. Environmental Monitoring and Assessment, 189: 515. (SCI)

[5]

Yongjiu Feng, Tong X. (2017). Calibrating nonparametric cellular automata with a generalized additive model to simulate dynamic urban growth. Environmental Earth Sciences, 76(14), 496. (SCI)

[6]

Yongjiu Feng, Yang, Q., Hong, Z., Cui, L. (2017). Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata model. Geocarto International, 1-19, DOI: 10.1080/10106049.2016.1265597. (SCI)

[7]

Yongjiu Feng, Liu M., Chen, L. (2017). Dynamic urban growth simulation with partial least squares regression-based cellular automata in a GIS environment. ISPRS International Journal of Geo-Information, 5(12), 243. (SCI)

[8]

Yongjiu Feng, Liu, Y., Liu, Y. (2017). Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China. Stochastic Environmental Research and Risk Assessment, 1-15, DOI: 10.1007/s00477-016-7 (SCI)

[9]

Lijuan Chen, Qi Feng, Changsheng Li, Yongping Wei, Yan Zhao, Yongjiu Feng, Hang Zheng, Fengrui Li, Huaya Li. (2017). Impacts of aquaculture wastewater irrigation on soil microbial functional diversity and community structure in arid regions. Scientific Reports, 7, 11193. (SCI)

[10]

Chen, L., Li, C., Feng, Q., Wei, Y., Zheng, H., Zhao, Y., Yongjiu Feng, Li, H. (2017). Shifts in soil microbial metabolic activities and community structures along a salinity gradient of irrigation water in a typical arid region of China. Science of the Total Environment, 598, 64-70. (SCI)

[11]

Yongjiu Feng, Yang Liu, Chen, X. (2017). Modeling monthly spatial distribution of Ommastrephes bartramii CPUE and its spatially nonstationary relationships with environment in the Northwest Pacific. Journal of Ocean University of China, Accepted, (SCI)

[12]

Yongjiu Feng, Cui, L., Chen, X., Liu, Y. (2017). A comparative study of spatially clustered distribution of jumbo flying squid (Dosidicus gigas) offshore Peru. Journal of Ocean University of China, 1-11, DOI: 10.1007/s11802-017-3214 (SCI)

[13]

Yongjiu Feng, Chen, X., Liu, Y. (2017). Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean. Chinese Journal of Oceanology and Limnology, 35(4), 921-935. (SCI)

[14]

Yongjiu Feng, Chen, X., Liu, Yang. (2017). Examining spatiotemporal distribution and CPUE-environment relationships for the jumbo flying squid Dosidicus gigas offshore Peru based on spatial autoregressive model. Chinese Journal of Oceanology and Limnology, DOI: 10.1007/s00343-018-6318-3, (SCI)

[15]

Liu, Y., Yongjiu Feng* (2016). Simulating the impact of economic and environmental strategies on future urban growth scenarios in Ningbo, China. Sustainability, 8: 1045. (SCI)

[16]

Yongjiu Feng*, Liu, Y. (2016). Scenario prediction of emerging coastal city using CA modeling under different environmental conditions: a case study of Lingang New City, China. Environmental Monitoring and Assessment, 188(9), 540. (SCI)

[17]

Yongjiu Feng, Chen, X., Liu, Y. (2016). The effects of changing spatial scales on spatial patterns of CPUE for Ommastrephes bartramii in the northwest Pacific Ocean. Fisheries Research, 183, 1-12. (SCI)

[18]

Yongjiu Feng, Liu, Y., Batty, M. (2016). Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China. Stochastic Environmental Research and Risk Assessment, 30(5), 1387-1400. (SCI)

[19]

Yongjiu Feng, Liu, Y., Liu, D. (2015). Shoreline mapping with cellular automata and the shoreline progradation analysis in Shanghai, China from 1979 to 2008. Arabia Journal of Geosciences, 8(7), 4337-4351. (SCI)

[20]

Yongjiu Feng, Liu, Y. (2015). Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics. Ecological Indicators, 53, 18-27. (SCI)

[21]

Yongjiu Feng, Liu Y. (2013). A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing. International Journal of Geographical Information Science, 27(3): 449–466. (SCI)

[22]

Yongjiu Feng, Liu Y. (2013). A cellular automata model based on nonlinear kernel principal component analysis for urban growth simulation. Environment and Planning B, 40(1): 116–134. (SSCI)

[23]

Liu Y., Yongjiu Feng, Pontius, R. G. (2014). Spatially-explicit simulation of urban growth through self-adaptive genetic algorithm and cellular automata modelling. Land, 3(3), 719-738.

[24]

Yongjiu Feng, Liu Y. (2012). An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation. Lecture Notes in Geoinformation and Cartography, 27–38.

[25]

Yongjiu Feng, Liu Y., Tong X., Liu, M., Deng, S. (2011). Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landscape and Urban Planning, 102(3): 188–196. (SCI)

[26]

方学燕, 陈新军, 冯永玖, 陈芃. (2017). 基于综合环境因子的协同克里金法分析茎柔鱼资源丰度空间分布海洋学报, 39(2), 62-71.

[27]

冯永玖, 杨铭霞, 陈新军. (2014).基于Voronoi图与空间自相关的西北太平洋柔鱼资源空间聚集特征分析. 海洋学报, 12: 74-84.

[28]

冯永玖, 陈新军, 杨铭霞, . (2014).基于ESDA的西北太平洋柔鱼资源空间热点区域及其变动研究. 生态学报, 34(7): 1841-1850.

[29]

冯永玖, 陈新军, 杨晓明, . (2014).基于遗传算法的渔情预报HSI建模与智能优化.生态学报, 34(15): 4333-4346.

[30]

杨铭霞, 陈新军, 冯永玖, . (2013).中小尺度下西北太平洋柔鱼资源丰度的空间变异. 生态学报, 33(20), 6427-6435.

[31]

冯永玖, 刘艳, 周茜, . (2013).景观格局破碎化的粒度特征及其变异的分形定量研究. 生态环境学报, 22(3): 443-450.

[32]

冯永玖, 韩震, . (2012). 海岸线遥感信息提取的元胞自动机方法及其应用. 中国图象图形学报, 17(3): 441–446.

[33]

冯永玖, 刘艳, 韩震. (2011). 不同样本方案下遗传元胞自动机的土地利用模拟及景观评价. 应用生态学报, 22(4): 957–963.

[34]

冯永玖, 刘妙龙, 童小华, . (2010). 基于核主成分元胞模型的城市演化重建与预测. 地理学报, 65(6): 665–675.

[35]

冯永玖, 童小华, 刘妙龙. (2010). 基于偏最小二乘地理元胞模型的城市生长模拟. 同济大学学报, 38(4): 608–612

[36]

冯永玖, 童小华, 刘妙龙, . (2010).基于GIS的地理元胞自动机模拟框架及其应用.地理与地理信息科学, 26(1): 41–43.

[37]

冯永玖, 童小华, 刘妙龙. (2010).城市形态演化的粒子群智能随机元胞模型与应用.地球信息科学学报, 12(1), 17-25.

[38]

冯永玖, 童小华, 汪超, 刘妙龙. (2004). 基于GIS的公路工程智能信息平台系统分析与设计交通信息与安全, 22(5), 61-64.

3、项目

[1]

澳大利亚研究理事会(ARC)基金:海岸带城市可持续发展(DP170104235),全部成员依次为:Yan Liu, Glen Searle, Michael Batty, Yongjiu Feng2017.01-2021.12

[2]

国家自然科学基金面上项目:基于因子筛选和约束性启发式优化的地理元胞自动机模型研究,2018.01~2021.12,主持

[3]

国家自然科学基金青年项目:西北太平洋渔业资源时空模式及其空间尺度效应研究,2015.01~2017.12,主持

[4]

上海市自然科学基金面上项目:基于空间层次聚类与热点分析的渔业资源空间分布模式挖掘,2013.7~2016.6,主持

[5]

教育部高等学校博士点基金:鱼类栖息地适宜性的启发式优化建模与空间不确定性研究,2013.1~2015.12,主持

[6]

上海市教委人才专项:上海市教委产学研践习人才计划,2011.08~2012.07,主持

[7]

上海市教委科研创新项目:基于元胞自动机的海岸线遥感信息提取及其变迁研究,2010.1~2012.12,主持

[8]

上海高校优秀青年教师科研基金:基于元胞自动机模型的海岸带土地利用情景模拟研究,2009.09~2011.08,主持

[9]

上海市科委重大科技攻关项目:上海海域淤泥质潮滩遥感监测的关键技术研究(2009-2011),主要完成人之一

[10]

国家科技支撑863项目:基于智能体的空间信息移动服务网格模型与关键技术(2008-2010),参与人

[11]

国家自然科学基金项目:基于多智能体的城市人群流动动态模拟模型研究(2007-2009),主要参与人

[12]

上海市徐汇区土地发展中心项目:徐汇区滨江区域土地利用调查与地籍信息系统建设(2007-2008),调查负责人

[13]

上海市科技启明星计划资助项目:遥感与GIS多尺度数据融合的不确定性及其质量控制(2006-2007),主要参与人

[14]

广东省十五重大科技攻关项目:基于GIS的广东省公路工程智能系统平台(2003-2004),技术开发负责人

[15]

浙江省国土资源厅项目:浙江省武义县土地利用规划修编(2004-2005),专题负责人

[16]

国家自然科学基金项目:大城市形态生成的理论与实证研究(2003-2005),主要参与人

4期刊审稿(Since 2011

International Journal of Geographic Information Science

International Journal of Remote Sensing

Landscape and Urban Planning

Environmental Modelling & Software

Ecological Modelling

Computer Environment and Urban Systems

Cities

Sensors

Land

Applied Geography

Marine Geodesy

ISPRS International Journal of Geo-Information

Environmental Monitoring and Assessment

Journal of Spatial Science

Environmental Earth Sciences

5、获奖记录

[1]

同济大学光华奖学金(博士)

[2]

同济大学优秀毕业博士生

[3]

全国测绘科技论文三等奖

[4]

海洋大学元鼎学院指导教师

[5]

蝉联两届本科生毕业论文优秀指导教师

[6]

大创项目优秀指导教师

[7]

汉宝优秀青年教师奖教金

[8]

上海海洋大学优秀青年教师

[9]

上海市科技进步三等奖

6、通信地址

地址:上海市浦东新区沪城环路999183信箱海洋科学学院,201306

Emailyjfeng@shou.edu.cn

欢迎具有遥感与地理信息学科背景的优秀学子报考研究生。