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
, Eun-Kyeong Kim
, Raja Sengupta

Résultats de recherche: Livre/rapport › Book › Revue par des pairs

Résumé

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

langue originale	Anglais
Editeur	Springer
Nombre de pages	102
Edition	1
ISBN (Electronique)	978-3-319-65993-0
ISBN (imprimé)	978-3-319-65992-3, 978-3-319-88146-1
Les DOIs	https://doi.org/10.1007/978-3-319-65993-0
état	Publié - 2018
Modification externe	Oui

Série de publications

Nom	Advances in Geographic Information Science
Editeur	Springer Cham
ISSN (imprimé)	1867-2434
ISSN (Electronique)	1867-2442

Accès au document

10.1007/978-3-319-65993-0

Autres fichiers et liens

http://dx.doi.org/10.1007/978-3-319-65993-0

Contient cette citation

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title = "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 = "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",

isbn = "978-3-319-65992-3",

series = "Advances in Geographic Information Science",

publisher = "Springer",

address = "Germany",

edition = "1",

}

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 (null); Kim, Eun-Kyeong (null); Sengupta, Raja (null).
1 Ed. Springer, 2018. 102 p. (Advances in Geographic Information Science).

Résultats de recherche: Livre/rapport › Book › Revue par des pairs

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