Agent-Based Models and Complexity Science in the Age of Geospatial Big Data

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)

von

Perez, LilianaHrsg.Kim, Eun-KyeongHrsg.Sengupta, RajaHrsg.

BuchKartoniert, Paperback

Verkaufsrang2379in

CHF207.00

BuchabCHF207.00

E-BookCHF177.00

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Beschreibung

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.

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Details

ISBN/GTIN978-3-319-88146-1

ProduktartBuch

EinbandKartoniert, Paperback

VerlagSpringer

Erscheinungsdatum25.08.2018

AuflageSoftcover reprint of the original 1st ed. 2018

ReiheAdvances in Geographic Information Science

Seiten102 Seiten

SpracheEnglisch

MasseBreite 155 mm, Höhe 235 mm, Dicke 6 mm

Gewicht192 g

IllustrationenXI, 102 p. 26 illus., 22 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Artikel-Nr.6339712

KatalogBuchzentrum

Datenquelle-Nr.29980713

Weitere Details

Reihe

Open Source Approaches in Spatial Data Handling

Geographic Information Science and Public Participation

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Open Source Approaches in Spatial Data Handling

Non-standard Spatial Statistics and Spatial Econometrics

Geospatial Techniques in Urban Planning

Geographic Information Science and Public Participation

Analysis of Urban Growth and Sprawl from Remote Sensing Data

Advances in Spatial Data Handling

Non-standard Spatial Statistics and Spatial Econometrics

Agent-based Modeling and Simulation in Archaeology

Multicriteria Decision Analysis in Geographic Information Science

Advances in Spatial Data Handling and Analysis

Advances in Spatial Data Handling

Agent-based Modeling and Simulation in Archaeology

Geospatial Techniques in Urban Planning

Multicriteria Decision Analysis in Geographic Information Science

Advances in Geocomputation

Geogames and Geoplay

Big Data Support of Urban Planning and Management

Spatial Data Handling in Big Data Era

GeoComputational Analysis and Modeling of Regional Systems

Spatial Analysis and Location Modeling in Urban and Regional Systems

Agent-Based Models and Complexity Science in the Age of Geospatial Big Data

Advances in Geocomputation

Spatial Data Handling in Big Data Era

Agent-Based Models and Complexity Science in the Age of Geospatial Big Data

Spatial Analysis and Location Modeling in Urban and Regional Systems

Big Data Support of Urban Planning and Management

Geogames and Geoplay

GeoComputational Analysis and Modeling of Regional Systems

GIScience Teaching and Learning Perspectives

Information Fusion and Intelligent Geographic Information Systems

Random Fields for Spatial Data Modeling

Information Fusion and Intelligent Geographic Information Systems

Geospatial Technology for Environmental Hazards

Metrics That Make a Difference

Strategic Spatial Planning Support System for Sustainable Development

Geospatial Technology for Environmental Hazards

Autor

Perez, LilianaHrsg.Kim, Eun-KyeongHrsg.Sengupta, RajaHrsg.

Liliana Perez is an Assistant Professor at the Department of Geography and director of the Laboratory of Environmental Geosimulation (LEDGE), University of Montreal, Canada. Liliana is interested in advancing GIScience methods applied to ecology, by developing modelling approaches to simulate ecological complexities in order to understand their behavior and dynamics as well as to use them as a starting point to begin planning and preparing management strategies in face of climate change. She has developed and implemented a series of simulation tools focusing on forestry, landscape ecology, biodiversity and climate change.Eun-Kyeong Kim is a Ph.D. candidate in the GeoVISTA Center in the Department of Geography at the Pennsylvania State University. Eun-Kyeong´s research attempts to advance spatiotemporal data analysis methodologies by integrating methods from statistical physics and complexity science. She also has an interest in geospatial big data visualization with advanced technologies. She has served NSF-sponsored Big Data Education project as a graduate researcher, and is a co-author of big data analytics online textbook.Raja Sengupta is Associate Professor, Geography and School of Environment at McGill University. Dr. Sengupta is interested in research on both Artificial Life and Software Agents, and applying GIScience to environmental management issues and water resources management. He was an editorial board member for the journal Transactions in GIS (2011-2016) and is currently an editorial board member for Water International..