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Titlebook: Agent-Based Models and Complexity Science in the Age of Geospatial Big Data; Selected Papers from Liliana Perez,Eun-Kyeong Kim,Raja Sengupt

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發(fā)表于 2025-3-21 16:36:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Agent-Based Models and Complexity Science in the Age of Geospatial Big Data
期刊簡(jiǎn)稱(chēng)Selected Papers from
影響因子2023Liliana Perez,Eun-Kyeong Kim,Raja Sengupta
視頻videohttp://file.papertrans.cn/152/151155/151155.mp4
發(fā)行地址Provides timely discussions on how cutting-edge technologies of data collection, management, processing, and analysis change trends in complexity science approaches in geospatial sciences.Introduces t
學(xué)科分類(lèi)Advances in Geographic Information Science
圖書(shū)封面Titlebook: Agent-Based Models and Complexity Science in the Age of Geospatial Big Data; Selected Papers from Liliana Perez,Eun-Kyeong Kim,Raja Sengupt
影響因子.This book contains a selection of papers presented during a special workshop on Complexity Science?organized as?part of the 9th International Conference on GIScience 2016. Expert researchers in the areas of Agent-Based Modeling, Complexity Theory, Network Theory, Big Data, and emerging methods of Analysis and Visualization for new types of data explore novel complexity science approaches to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data?Era...?.
Pindex Conference proceedings 2018
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書(shū)目名稱(chēng)Agent-Based Models and Complexity Science in the Age of Geospatial Big Data影響因子(影響力)




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An Agent-Based Model to Identify Migration Pathways of Refugees: The Case of Syria,lling method to simulate the movement of refugees in order to identify pathways of forced migration under the present crisis. The model generates refugees as agents and lets them leave conflict areas for a destination that they choose based on their respective characteristics and desires. The simula
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Discovering Multi-Scale Community Structures from the Interpersonal Communication Network on Twitteunprecedented opportunity to study human interactions at the global scale. Detecting communities of individuals who live close by and have strong communication among each other is critical for a variety of application areas such as managing disaster response, controlling disease spread, and developi
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1867-2434 s to dynamic geographic phenomena and their applications, addressing challenges and enriching research methodologies in geography in a Big Data?Era...?.978-3-319-88146-1978-3-319-65993-0Series ISSN 1867-2434 Series E-ISSN 1867-2442
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Springer Series in Wood Science both individuals and groups of animals. We use field data collected by tracking Red Colobus (.) monkey groups from Kibale National Park, combined with land cover and terrain information, to show how this might be achieved.
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