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Why Fractal Geometry Is the Right Paradigm for Big Data Analytics?
1# 风达 发表于 2015-7-1 12:00:44
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题目:Why Fractal Geometry Is the Right Paradigm for Big Data Analytics?

  

时间:2015年6月11日上午10:00-11:45

地点:环测学院C410会议室

报告人:江斌,瑞典耶夫勒大学(University of Gävle)教授

欢迎广大师生积极参加!

江斌教授简介:

江斌博士是瑞典耶夫勒大学地理信息与地理计算系教授,担任国际制图协会地理空间分析和建模委员会主席(委员会创始人),研究兴趣包括:地理分析,可视化,分形几何,复杂网络与面向地理模式与过程理解的多智能体城市建模,其开发的空间句法Axwoman模型作为ArcGIS插件被广泛使用。他同时担任国际著名城市研究杂志International Journal Computers, Environment, and Urban Systems的副主编,国际开源期刊PLOS ONE的学术主编及地图制图领域副主编。

Dr. Bin Jiang is Professor in GeoInformatics and Computational Geography at University of Gävle, Sweden. He is also affiliated to Royal Institute of Technology (KTH) at Stockholmvia KTH Research School. He worked in the past with The Hong Kong Polytechnic University and the University College London’s Centre for Advanced Spatial Analysis. He is the founder and chair of the International Cartographic Association Commission on Geospatial Analysis and Modeling. He has been coordinating the NordForsk-funded Nordic Network in Geographic Information Science. His research interests include geospatial analysis, visualization, and complexity science such as fractal geometry, complex networks, and agent-based modeling for better understanding geographic forms and processes. He served as an Associate Editor (2009-2014) of international journal Computers, Environment, and Urban Systems, and is currently Academic Editor of open access journal PLOS ONE, and Associate Editor Cartographica.


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