Publications

Publication

Google Scholar

Peer-reviewed Journal Articles (Students or visiting scholars were underlined) (since 2016)

  1. Dai, Z., Trettin, C.C., Mangora, M., and Tang, W., accepted, Soil carbon with the mangrove landscape in Rufiji River Delta, Tanzania, Wetlands.
  2. Hohl, A., Tang, W., Casas, I., Shi, X., Delmelle, E., 2022, Detecting space-time patterns under non-stationary background population, Journal of Geographical Systems. 24: 389-417 DOI: https://doi.org/10.1007/s10109-022-00377-7
  3. Chen, S.E., Lin, S., Cheng, C.T., Bhowmik, S., Tang, W., Baez-Rivera, Y. and Martinez, R., 2022. Two-Story Residential Structure Damages after the 2020 Puerto Rico Earthquake. Journal of Performance of Constructed Facilities, 36(2), p.04022006.
  4. Chavan, V.S., Chen, S.E., Shanmugam, N.S., Tang, W., Diemer, J., Allan, C., Braxtan, N., Shukla, T., Chen, T. and Slocum, Z., 2022. An Analysis of Local and Combined (Global) Scours on Piers-on-Bank Bridges. CivilEng, 3(1), pp.1-20.
  5. An, L., Grimm, V., Sullivan, A., Turner II, B.L., Malleson, N., Heppenstall, A., Vincenot, C., Robinson, D., Ye, X., Liu, J. Lindkvist, E., and Tang, W., 2021. Challenges, tasks, and opportunities in modeling agent-based complex systems. Ecological Modelling, 457, p.109685.
  6. Trettin, C.C., Dai, Z., Tang, W., Lagomasino, D., Thomas, N., Lee, S.K., Simard, M., Ebanega, M.O., and Fatoyinbo, T.E., 2021, Mangrove carbon stocks in Pongara National Park, Gabon. Estuary Coast and Shelf Science. 259: 107432.
  7. Gibas, C., Lambirth, K., Mittal, N. Juel, M., Barua, V., Brazell, L., Hinton, K., Lontai, J.., Stark, N., Yound, I., Quach, C., Russ, M., Kauer, J., Nicolosi, B., Akella, S., Tang, W., Chen, D., Schlueter, J., Munir, M., Implementing building-level SARS-CoV-2 wastewater surveillance on a University campus, Science of The Total Environment, 782, p.146749.
  8. Li, Z., Tang, W., Huang, Q., Shook, E. and Guan, Q., 2020. Introduction to Big Data Computing for Geospatial Applications. ISPRS International Journal of Geo-Information, 9(8): 487.
  9. Lan, Y., Tang, W., Dye, S. and Delmelle, E., 2020. A web-based spatial decision support system for monitoring the risk of water contamination in private wells. Annals of GIS, pp.1-17.
  10. Owusu, C., Delmelle, E., Tang, W., Silverman, G., and Dye, S., 2020, A multi-stage geocoding approach for the development of private wells database, Gaston County, North Carolina. Journal of Environmental Health. 83(4): 8-15.
  11. Zheng, M., Tang, W., Akinwumi Ogundiran, Jianxin Yang, 2020, Spatial simulation modeling of settlement distribution driven by random forest: Consideration of landscape visibility, Sustainability 12(11): 4748.
  12. Chen, S.E., Tang, W., Irizarry, A.A., Baez-Rivera, Y., Pando, M.A., Majrekar, M., Young, D. and Ng, Y., 2020. Posthurricane Investigation of a Critical Component toward Improved Grid Resiliency in Puerto Rico. Journal of Performance of Constructed Facilities, 34(4), p.02520001.
  13. Tang, W., and Yang, J., 2020, Agent-based land change modeling of a large watershed: Space-time locations of critical threshold, Journal of Artificial Societies and Social Simulation. 23(1): 15. Online available at: http://jasss.soc.surrey.ac.uk/23/1/15.html
  14. Yang, J., Gong, J., Tang, W., and Liu, C., 2020, Patch-based cellular automata model of urban growth simulation: Integrating feedback between quantitative composition and spatial configuration, Computers, Environment and Urban Systems, 79, 101402.
  15. Zhao, X., Ma, X., Tang, W. and Liu, D., 2019. An adaptive agent-based optimization model for spatial planning: A case study of Anyue County, China. Sustainable Cities and Society, p.101733.
  16. Yang, J., Gong, J. and Tang, W., 2019. Prioritizing Spatially Aggregated Cost-Effective Sites in Natural Reserves to Mitigate Human-Induced Threats: A Case Study of the Qinghai Plateau, China. Sustainability, 11(5), p.1346.
  17. Zheng, M., Tang, W., and Zhao, X., 2019, Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing, International Journal of Geographical Information Science, 33(2), 314-345.
  18. Shoffner, A., Wilson, A.M., Tang, W., and Gagne, S.A., 2018, The relative effects of forest amount, forest configuration, and urban matrix quality on forest breeding birds. Scientific Reports.8(1): p. 17140
  19. Yu, Y., Han, Q., Tang, W., Yuan, Y., and Tong, Y., 2018, Exploration of the industrial spatial linkages in urban agglomerations: A case of urban agglomeration in the Middle Reaches of the Yangtze River, China, Sustainability, 10 (5): 1469.
  20. Yu, Y., He, J., Tang, W., and Li, C., 2018, Modeling urban collaborative growth dynamics using a multiscale simulation model for the Wuhan Urban Agglomeration Area, China, ISPRS International Journal of Geo-Information, 7(5), 176.
  21. Tang, W., Zheng, M., Zhao, X., Shi, J., Yang, J., and Trettin, C.C., 2018, Big geospatial data analytics for global mangrove biomass and carbon estimation. Sustainability. 10(2): 472.
  22. Yu, Y., Tong, Y., Tang, W., Yuan, Y., Chen, Y., 2018, Identifying the spatiotemporal interaction between urbanization and eco-environment in the urban agglomeration in the Middle Reaches of the Yangtze River, China, Sustainability. 10(1): 290.
  23. Gong, J., Li, J., Yang, J., Li, S. and Tang, W., 2017. Land Use and Land Cover Change in the Qinghai Lake Region of the Tibetan Plateau and Its Impact on Ecosystem Services. International Journal of Environmental Research and Public Health, 14(7), p.818.
  24. Liu, D., Tang, W., Liu, Y., Zhao, X., and He, J., 2017, Optimal rural land use allocation in central China: linking the effect of spatiotemporal patterns and policy interventions. Applied Geography. 86, 165-182.
  25. Saule, E., Panchananam, D., Hohl, A. *, Tang, W., & Delmelle, E.(2017). Parallel Space-Time Kernel Density Estimation. arXiv preprint arXiv:1705.09366.
  26. Zhang, Z., Tang, W., Gong, J., and Huan, J., 2017, Property rights of urban underground space in China: A public good perspective, Land Use Policy, 65, 224-237.
  27. Zhu, Q., and Tang, W., 2017, Regional-level carbon allocation in China based on sectoral emission, Sustainability. 9(4): 552
  28. Tang, W., Feng, W., Jia, M., Shi, J., Zuo, H., Stringer, C.E., and Trettin, C.C., 2017, A cyber-enabled spatial decision support system to inventory mangroves in Mozambique: Coupling scientific workflows with cloud computing. International Journal of Geographical Information Science. 31(5): 907-938
  29. Tang, W., and Feng, W., 2017, Parallel map projection of vector-based big spatial data using general-purpose Graphics Processing Units, Computers, Environment and Urban Systems, 61: 187-197
  30. Hohl, A., Delmelle, E., and Tang, W., Casas, I., 2016, Accelerating the detection of space-time patterns of vector-borne diseases using parallel computing, Spatial and Spatio-temporal Epidemiology. 19: 10-20
  31. Niu, J., Tang, W., Xu, F., Zhou, X., and Song, Y., 2016, Global research on artificial intelligence from 1990-2014: Spatially explicit bibliometric analysis, ISPRS International Journal of Geo-Information. 5(5): 66-66
  32. Zhang, Z., and Tang, W., 2016, Analysis of spatial patterns of public attention on housing prices in Chinese cities: A Web search engine approach, Applied Geography, 70: 68-81
  33. Tang, W., Feng, W., Jia, M., Shi, J., Zuo, H., and Trettin, C.C., 2016, Assessment of mangrove biomass and carbon in West Africa: A spatially explicit analytical framework. Wetland Ecology and Management. 24(2): 153-171