Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)

Liliana Perez; Eun-Kyeong Kim; Raja Sengupta

doi:10.1007/978-3-319-65993-0

Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)

Liliana Perez (Editor)
, Eun-Kyeong Kim (Editor)
, Raja Sengupta (Editor)

Research output: Book/Report › Book › peer-review

Abstract

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 the-state-of-the-art frameworks/methodologies to leverage advanced computational infrastructure to improve modeling, simulation, and data analysis

Introduces novel analysis/visualization methods for new types of geospatial big data

Shows how such advanced technologies and frameworks can be adapted to various application domains across natural and human phenomena

Original language	English
Publisher	Springer
Number of pages	102
Edition	1
ISBN (Electronic)	978-3-319-65993-0
ISBN (Print)	978-3-319-65992-3, 978-3-319-88146-1
DOIs	https://doi.org/10.1007/978-3-319-65993-0
Publication status	Published - 2018
Externally published	Yes

Publication series

Name	Advances in Geographic Information Science
Publisher	Springer Cham
ISSN (Print)	1867-2434
ISSN (Electronic)	1867-2442

Access to Document

10.1007/978-3-319-65993-0

Cite this

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abstract = "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 the-state-of-the-art frameworks/methodologies to leverage advanced computational infrastructure to improve modeling, simulation, and data analysis Introduces novel analysis/visualization methods for new types of geospatial big data Shows how such advanced technologies and frameworks can be adapted to various application domains across natural and human phenomena",

editor = "Liliana Perez and Eun-Kyeong Kim and Raja Sengupta",

year = "2018",

doi = "10.1007/978-3-319-65993-0",

language = "English",

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series = "Advances in Geographic Information Science",

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Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016). / Perez, Liliana (Editor); Kim, Eun-Kyeong (Editor); Sengupta, Raja (Editor).
1 ed. Springer, 2018. 102 p. (Advances in Geographic Information Science).

Research output: Book/Report › Book › peer-review

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AB - 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 the-state-of-the-art frameworks/methodologies to leverage advanced computational infrastructure to improve modeling, simulation, and data analysis Introduces novel analysis/visualization methods for new types of geospatial big data Shows how such advanced technologies and frameworks can be adapted to various application domains across natural and human phenomena

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PB - Springer

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Agent-Based Models and Complexity Science in the Age of Geospatial Big Data: Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016)

Abstract

Publication series

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