Spatially Explicit Agent-Based Model of Influenza Transmission​
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References
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Kang, J.-Y., Aldstadt, J., Michels, A., Vandewalle, R., & Wang, S., (2019), CyberGIS-Jupyter for Spatially Explicit Agent-Based Modeling: A Case Study on Influenza Transmission, ACM SIGSPATIAL '19 Geospatial Simulation Workshop​
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Spatially Explicit Agent-Based Model of Dengue Virus Transmission​
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References​​
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​Kang, J.-Y., & Aldstadt, J. (2017). The Influence of Spatial Configuration of Residential Area and Vector Populations on Dengue Incidence Patterns in an Individual-Level Transmission Model. International Journal of Environmental Research and Public Health, 14(7), 792.
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Kang, J.-Y., & Aldstadt, J. (2019). Using multiple scale spatio-temporal patterns for validating spatially explicit agent-based models. International Journal of Geographical Information Science, 33(1), 193-213, DOI: 10.1080/13658816.2018.1535121
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Kang, J.-Y. & Aldstadt, J. (2019). Using Multiple Scale Space-Time Patterns in Variance-Based Global Sensitivity Analysis for Spatially Explicit Agent-Based Models, Computers, Environment and Urban Systems, 75, 170-183.
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Kang, J.-Y., Aldstadt, J., Vandewalle, R., Yin, D., & Wang, S., (2020), A cyberGIS approach to spatiotemporally explicit uncertainty and global sensitivity analysis for agent-based modeling of vector-borne disease transmission, The Annals of American Association of Geographers
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Spatially Explicit Agent-Based Model of Evacuation in a Natural Hazard
- References​
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Vandewalle, R., Kang, J.-Y., Yin, D. & Wang, S., (2019), Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time, ACM SIGSPATIAL '19 Geospatial Simulation Workshop​
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