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Taylor Anderson 0001
Person information
- affiliation: George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA
- affiliation (PhD): Simon Fraser University (SFU), Vancouver, BC, Canada
Other persons with the same name
- Taylor Anderson 0002
— Utah State University, Logan, UT, USA
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2020 – today
- 2024
- [j16]Mohamed F. Mokbel
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10(2): 10 (2024) - [j15]Andreas Züfle
In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 13 (2024) - [j14]Andreas Züfle
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst. 10(2): 17 (2024) - [c10]Ruochen Kong, Taylor Anderson, David J. Heslop, Andreas Züfle:
An Infectious Disease Spread Simulation to Control Data Bias. SIGSPATIAL/GIS 2024: 681-684 - [e8]Joon-Seok Kim, Taylor Anderson, Max S. Y. Lau, Amira Roess, Andreas Züfle:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2024, Atlanta, GA, USA, 29 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1153-4 [contents] - [i4]Henrique Ferraz de Arruda, Sandro M. Reia, Shiyang Ruan, Kuldip S. Atwal, Hamdi Kavak, Taylor Anderson, Dieter Pfoser:
Extracting the U.S. building types from OpenStreetMap data. CoRR abs/2409.05692 (2024) - 2023
- [c9]Emma Von Hoene
A Framework for Simulating Emergent Health Behaviors in Spatial Agent-Based Models of Disease Spread. GeoSim@SIGSPATIAL 2023: 1-9 - [c8]Emma Von Hoene, Amira Roess, Taylor Anderson:
A Data-Driven Decision-Making Framework for Spatial Agent-Based Models of Infectious Disease Spread (Short Paper). GIScience 2023: 76:1-76:7 - [c7]Ketevan Gallagher
Synthetic Geosocial Network Generation. LocalRec@SIGSPATIAL 2023: 15-24 - [e7]Taylor Anderson, Joon-Seok Kim, Amira Roess, Andreas Züfle:
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i3]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - 2022
- [j13]Taylor Anderson, Joon-Seok Kim, Amira Roess, Andreas Züfle:
SpatialEpi'2022 Workshop Report: The 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology. ACM SIGSPATIAL Special 14(1): 28-31 (2022) - [j12]Joon-Seok Kim, Taylor Anderson, Ashwin Shashidharan, Alexander Hohl:
GeoSim 2022 Workshop Report: The 5th ACM SIGSPATIAL International Workshop on Geospatial Simulation. ACM SIGSPATIAL Special 14(1): 40-42 (2022) - [j11]Andreas Züfle
Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 1. ACM Trans. Spatial Algorithms Syst. 8(3): 1-5 (2022) - [j10]Andreas Züfle
Introduction to the Special Issue on Understanding the Spread of COVID-19, Part 2. ACM Trans. Spatial Algorithms Syst. 8(4): 25e:1-25e:5 (2022) - [c6]Srihan Kotnana, David Han, Taylor Anderson, Andreas Züfle, Hamdi Kavak:
Using Generative Adversarial Networks to Assist Synthetic Population Creation for Simulations. ANNSIM 2022: 1-12 - [c5]Ketevan Gallagher, Srihan Kotnana, Sachin Satishkumar, Kheya Siripurapu, Justin Elarde, Taylor Anderson, Andreas Züfle, Hamdi Kavak:
Human mobility-based synthetic social network generation. HANIMOB@SIGSPATIAL 2022: 23-26 - [c4]Minh Tri Le
PhyloView: A System to Visualize the Ecology of Infectious Diseases Using Phylogenetic Data. MDM 2022: 222-229 - [e6]Taylor Anderson, Alexander Hohl, Joon-Seok Kim, Ashwin Shashidharan:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, GeoSim 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9537-3 [contents] - [e5]Taylor Anderson, Amira Roess, Joon-Seok Kim, Andreas Züfle:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9543-4 [contents] - [i2]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j9]Joon-Seok Kim, Taylor Anderson, Ashwin Shashidharan, Jeon-Young Kang:
GeoSim 2021 Workshop Report: The 4th ACM SIGSPATIAL International Workshop on Geospatial Simulation. ACM SIGSPATIAL Special 13(3): 6-8 (2021) - [j8]Taylor Anderson
Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent-based approach. Trans. GIS 25(2): 948-967 (2021) - [c3]Samiul Islam, Dhruv Gandhi, Justin Elarde, Taylor Anderson, Amira Roess
Spatiotemporal prediction of foot traffic. LocalRec@SIGSPATIAL 2021: 2:1-2:8 - [e4]Joon-Seok Kim, Taylor Anderson, Jeon-Young Kang, Ashwin Shashidharan:
GeoSim@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9101-6 [contents] - [e3]Taylor Anderson, Jia Yu, Amira Roess, Hamdi Kavak, Joon-Seok Kim, Andreas Züfle:
SpatialEpi@SIGSPATIAL 2021: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology (SpatialEpi 2021), Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9119-1 [contents] - [i1]Justin Elarde, Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, Taylor Anderson:
Change of human mobility during COVID-19: A United States case study. CoRR abs/2109.09022 (2021) - 2020
- [j7]Taylor Anderson
NEAT approach for testing and validation of geospatial network agent-based model processes: case study of influenza spread. Int. J. Geogr. Inf. Sci. 34(9): 1792-1821 (2020) - [j6]Taylor Anderson
Representing Complex Evolving Spatial Networks: Geographic Network Automata. ISPRS Int. J. Geo Inf. 9(4): 270 (2020) - [j5]Joon-Seok Kim, Hamdi Kavak, Andreas Züfle, Taylor Anderson:
COVID-19 ensemble models using representative clustering. ACM SIGSPATIAL Special 12(2): 33-41 (2020) - [j4]Joon-Seok Kim, Taylor Anderson, Ashwin Shashidharan, Andreas Züfle:
The 3rd ACM SIGSPATIAL International Workshop on Geospatial Simulation: GeoSim 2020 workshop report. ACM SIGSPATIAL Special 12(3): 11-14 (2020) - [j3]Taylor Anderson, Jia Yu, Andreas Züfle:
The 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19. ACM SIGSPATIAL Special 12(3): 35-40 (2020) - [c2]John Pesavento, Andy Chen, Rayan Yu, Joon-Seok Kim, Hamdi Kavak, Taylor Anderson, Andreas Züfle:
Data-driven mobility models for COVID-19 simulation. ARIC@SIGSPATIAL 2020: 29-38 - [e2]Taylor Anderson, Joon-Seok Kim, Ashwin Shashidharan:
GeoSim '20: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, Virtual Event, 03 November 2020. ACM 2020, ISBN 978-1-4503-8161-1 [contents] - [e1]Taylor Anderson, Jia Yu, Andreas Züfle:
COVID-19: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and Understanding the Spread of COVID-19, Seattle, WA, USA, November 3, 2020. ACM 2020, ISBN 978-1-4503-8168-0 [contents]
2010 – 2019
- 2018
- [c1]Taylor Anderson, Suzana Dragicevic
Geographic Network Automata for Representing Complex Evolving Spatial Systems. GeoSim@SIGSPATIAL 2018: 5-8 - 2016
- [j2]Taylor Anderson
A Geosimulation Approach for Data Scarce Environments: Modeling Dynamics of Forest Insect Infestation across Different Landscapes. ISPRS Int. J. Geo Inf. 5(2): 9 (2016) - 2015
- [j1]Taylor Anderson, Suzana Dragicevic
An agent-based modeling approach to represent infestation dynamics of the emerald ash borer beetle. Ecol. Informatics 30: 97-109 (2015)
Coauthor Index
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last updated on 2024-11-26 20:47 CET by the dblp team
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