Publications

Peer-reviewed Journal Articles

Hu F., Li Z., Yang C., Jiang Y., A graph-based approach to detect the tourist movement pattern using social media data, Cartography and Geographic Information Science. (accepted)

Deng, C., Lin, W., Ye, X., Li, Z., Zhang, Z., Xu, G. (2018) Social media data as a proxy for hourly fine-scale electric power consumption estimation. Envrionment and Planning A: Economy and Space, 10.1177%2F0308518X18786250

Huang X., Wang C.,  Li Z. (2018) A Flooding Probability Reconstruction Approach by Enhancing Near Real-Time Imagery with Real-Time Gauges and TweetsIEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2018.2835306

Wang C., Li Z., Huang X. (2018) Geospatial assessment of flooding dynamics and risks of the October’15 South Carolina Flood, Congaree River Watershed, Southeastern Geographer, 58(2), 164-180

Jiang Y., Li Z., Ye X. (2018) Understanding Demographic and Socioeconomic Bias of Geotagged Twitter Users at the County Level, Cartography and Geographic Information Science, 15230406.2018.1434834

Huang X., Wang C., Li Z., (2018) A Near Real-time Flood Mapping Approach by Integrating Post-event with Satellite Imagery and Flood-related Tweets, Annals of GIS

Li Z., Hodgson M., Li W.  (2018) A general-purpose framework for large-scale Lidar data processing, International Journal of Digital Earth, 11(1), 26-47

Huang Q., Li, J., Li, Z., (2017)  A Hybrid Cloud Platform Based on Multi-sourced Computing and Model Resources for Geosciences, International Journal of Digital Earth.

Martín, Y., Li, Z., & Cutter, S. L. (2017). Leveraging Twitter to gauge evacuation compliance: spatiotemporal analysis of Hurricane Matthew. PLoS one, 12(7), e0181701.

Li Z., Wang C., Emrich C., Guo D.(2017)  Leverage Social Media for Rapid Flood Mapping: A Case Study of 2015 October Flood in SC, Cartography and Geographic Information Science, doi: 10.1080/15230406.2016.1271356

Li Z., Huang Q., Carbone G., Hu F. (2017)  A High Performance Query Analytical Framework for Supporting Data-intensive Climate Studies, Computers, Environment and Urban Systems, 62(3), 210-221

Li, Z., Hu, F., Schnase, J. L., Duffy, D. Q., Lee, T., Bowen, M. K., & Yang, C. (2017). A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduceInternational Journal of Geographical Information Science, 31(1), 17-35.

Yang C., Huang Q., Li Z., Liu K., Fei Hu. (2017).  Big Data and cloud computing: innovation opportunities and challenges, International Journal of Digital Earth, 10(1),1-41.

Li, Z., Yang, C., Liu, K., Hu, F., & Jin, B. (2016). Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial DataISPRS International Journal of Geo-Information, 5(10), 173.

Gui, Z., Yu, M., Yang, C., Jiang, Y., Chen, S., Xia, J., Huang, Q., Liu, K., Li, Z., Hassan, M.A. and Jin, B., (2016). Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation. PloS one, 11(4), p.e0152250.

Li Z., Yang C., Yu M., Liu K., Sun M.(2015) Enabling Big Geoscience Data Analytics with a Cloud-based, MapReduce-enabled and Service-oriented Workflow Framework, PloS one, 10(3), e0116781.

Xia J, Yang C, Liu K, Li Z., Sun M, Yu M, (2015). Forming a Spatiotemporal Performance Model for Global Access to Distributed Geographic Information Services, International Journal of Geographic Information Science, DOI: 10.1080/13658816.2014.968783

Li Z., Yang, C., Huang, Q., Liu K., Sun, M., Xia, J., (2014). Building Model as a Service for Supporting Geosciences,Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2014.06.004

Xia J., Yang C., Liu K., Gui Z., Li Z., Huang Q., & Li R., (2014). Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiativesInternational Journal of Digital Earth. DOI:10.1080/17538947.2014.929750

Gui Z., Yang C., Xia. J, Huang Q., Liu K., Li Z., Yu M., Zhou N., Jin B., (2014). A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services, PloS one, 9(8), e105297.

Xia J., Yang C., Gui Z., Liu K., Li Z., (2014). Optimizing an index with spatiotemporal patterns to support GEOSS Clearinghouse.International Journal of Geographical Information Science, 28(7), 1459-1481.

Huang Q., Yang C., Liu K., Xia J., Xu C., Li J., Li Z., (2013). Evaluating open-source cloud computing solutions for geosciencesComputers & Geosciences, 59, 41-52

Li Z. and Xu J., (2012). Location Based Service Platform Construction Based on Cloud Computing. Geomatics World, 2012(1): 69-71. (in Chinese)

Gong J., Wu H., Zhang T., Gui Z, Li Z., You  L., Shen  S., (2012). Geospatial Service Web: towards integrated cyberinfrastructure for GIScience. Geo-spatial Information Science, 15(2):73-84.

Li Z., Yang C., Wu H., Li W., and Miao L., (2011). An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciences, International Journal of Geographic Information Science, 25(4):595-613

Wu H., Li Z., Zhang H., Yan, C., & Shen S., (2011). Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision makingComputers & Geosciences, 37(4), 485-494

Yang C., Wu H., Huang Q., Li Z., and Li J., (2011). Using spatial principles to optimize distributed computing for enabling the physical science discoveries, Proceedings of National Academy of Sciences, 108(14): 5498-5503 (spatial computing definition paper captured by Nobel Intent Blog)

Li W., Yang C., Nebert D., Raskin R., Houser P., Wu H., Li Z., (2011). Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructureComputers & Geosciences, 37(11), 1752-1762.

Li Z., Miao L, & Xiu W., (2010). The Integration of WMS and Google Earth using QuadKML. Geomatics & Spatial Information Technology, 5, 008.  (in Chinese)

Miao Li., Li Z., Li J., Yang C., (2012). An OPeNDAP-based System to Implement Earth Science Data Sharing, Journal of Nanjing University of Posts and Telecommunications,32(1):84-88 (in Chinese)

Miao L., Wu L. and Li Z., and Yang C., (2010). Service Integration and Interoperability of CSW and WMS from Multiple Sources, Geography and Geo-Information Science, 26(3):11-14 (in Chinese)

Books

Yang C., Huang Q., Li Z., Xu C., Liu K. (Eds.), (2013). Spatial Cloud Computing: A Practical Approach, CRC Press/Taylor & Francis

Yang C., Yu M., Huang Q., Li Z., Sun M., Liu K., Jiang Y., Xia J., Hu F. (2017) Introduction to Programming and GIS Algorithms with Python and ArcGIS, CRC Press/Taylor & Francis. ISBN: 978-1466510081

Refereed Book Chapters

Li Z., Yang C., Sun M., Huang Q., Vector Algorithms (to appear), In Yang C. Huang Q. (Eds.) Introduction to Programming and GIS Algorithms with Python and ArcGIS, CRC Press/Taylor & Francis. ISBN: 978-1466510081

Yang C., Liu K., Li Z., Li W., Wu H., Xia J., Huang Q., et al. (2014). GEOSS Clearinghouse: Integrating Geospatial Resources to Support the Global Earth Observation System of Systems, (2014). In Karimi, H. A. (Ed.), Big Data: Techniques and Technologies in Geoinformatics (pp. 31-54). CRC Press.

Yang, C., Sun, M., Liu, K., Huang, Q., Li, Z., Gui, Z., Jiang, Y., et al., (2014). Contemporary Computing Technologies for Processing Big Spatiotemporal Data. In Kwan M.P., Richardson D., Wang D., Zhou C.,(Eds.), Space-Time Integration in Geography and GIScience (pp. 327-351). Springer Netherlands.

Li, Z., Huang, Q., and Gui, Z., (2013). Enabling Technologies. In Yang C., Huang Q., Li Z., Xu C., Liu K(Eds.), Spatial cloud computing: a practical approach (pp. 33-48) CRC Press/Taylor & Francis

Huang, Q., Li, Z., Xia, J., Jiang, Y., Xu, C., Liu, K., et al., (2013). Accelerating Geocomputation with Cloud Computing. In Shi X., Kindratenko V., and Yang C. (Eds.), Modern Accelerator Technologies for Geographic Information Science (pp. 41-51). Springer US.

Li J., Li, Z., Sun M., Liu K., (2013). Cloud-enabling Climate@Home. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 143-160).  CRC Press/Taylor & Francis

Huang, Q., Li, Z., Liu K., Xia J., Jiang Y., Xu C., Yang C., (2013). Handling of Data, Computing, Concurrent and Spatiotemporal Intensities. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach(pp. 275-294).  CRC Press/Taylor & Francis

Yang C., Huang Q., Gui Z., Li Z., Xu C., Jiang Y., Li J., (2013). Cloud Computing Research for Geosciences. In Yang C., Huang Q., Li Z., Xu C., Liu K.,(Eds.), Spatial cloud computing: a practical approach (pp. 295-310).  CRC Press/Taylor & Francis

Li, Z., W. Li, (2010). In Yang C., Wong D., Miao Q., Yang Run., (Eds.),  Geobrowser and spatial web portals. Advanced Geoinformation Science(pp. 234-239), CRC Press/Taylor and Francis

Yang C., Wu H., Huang Q., Li Z., J. Li, W. Li, L. Miao and M. Sun, (2011). WebGIS performance issues and solutions, ISPRS book on Advances in web-based GIS, mapping services and applications (pp. 121-138), London: Taylor & Francis

Shi, X., Nebert D., Zhang C., Yang H., Wu H., Zhao P., Li Z. et al. (2011). Geoinformation Infrastructure (GII). In Yang C., Wong D., Miao Q., and Yang R.  (Eds.), Advanced GeoInformation Science(pp. 205-274), CRC Press/Taylor and Francis

Refereed Conference Papers

Liu X., Huang Q., Li Z. (2017), The impact of MTUP to explore online trajectories for human mobility studies. Proceedings of the 1st ACM SIGSPATIAL International Workshop on PredictGIS

Huang Q., Li Z., Li J., (2016), Mining Frequent Trajectory Patterns from Online Footprints, 7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.

Yu, M., Yang, C., Li, Z., Liu, K., & Chen, S. (2015), Enabling the Acceleration of Dust Simulation using Job Scheduling Methods in a Cloud Environment. In Proceedings of the 13th International Conference on GeoComputation

Li Z., Yang C., Sun M., Li J., Xu C., Huang Q., & Liu K., (2013). A High Performance Web-Based System for Analyzing and Visualizing Spatiotemporal Data for Climate Studies. In W2GIS, Lecture Notes in Computer Science, Volume 7820 (pp. 190-198). Springer Berlin Heidelberg.

Liu K., Yang C., Li W., Li Z., Wu H., Rezgui A., & Xia J., (2011). The GEOSS Clearinghouse high performance search engine. In 2011 19th International Conference on Geoinformatics (pp. 1-4), IEEE.

Bambacus M., Yang C., Evans J., Li Z., Li W. and Huang Q., (2008). Sharing Earth science information to support the Global Earth Observing System of Systems (GEOSS). In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS08) (pp. 141-144), Boston, US.

Journal Articles In Progress

Jiang Y., Li Z. , Cutter S. Social network, activity space, sentiment, and evacuation: what can social media tell us?, Annals of American Association of Geographers (in revision)

Li Z., Huang Q., Jiang Y., Hu F., SCOVAS: A Scalable and Collaborative Online Visual Analytic System for Big Climate Data Analysis, International Journal of Geographic Information Science (under review)

Huang X., Wang C. Li Z. Ning H. A visual-textual fused approach to automated tagging of flood-related tweets during a flood event, International Journal of Digital Earth (under review)

Ning H., Huang  X., Li Z.,Wang C., Xiang D., A Novel Method for Rapid Building Change Detection using UAS images without Control Points, International Journal of Digital Earth (under review)

Vayansky I., Kumar S., Li Z., Exploring Sentiments: An Evaluation of Geotagged Twitter Data during Hurricane Irma. (to be submitted)

Hu L., Li Z., Ye X., Neighborhood Characteristics and Activity Space: A New Application of Social Media Data (to be submitted)

Other Publications

Li Z., Wang C., Emrich C., Guo D., 2016. Rapid Mapping of October 2015 South Carolina Flood using Social Media, Remote Sensing and Stream Gauges. In: The South Carolina Deluge: Lessons from a Watershed Disaster, Center for Resilience Studies, Northeastern University (pp. 52-62)

Wang C., Li Z., Emrich C., Remote sensing of surface wetness dynamics during the October 2015 South Carolina Flood, Congaree River Watershed. In: The South Carolina Deluge: Lessons from a Watershed Disaster, Center for Resilience Studies, Northeastern University (pp. 63-67)

Karami A., Li Z. (2016), Computational Framework for Tracking Reports, Opinions and Feelings of People in Social Media Before, During and After a Natural Disaster: Twitter Case Study in the 2015 South Carolina Flood, Available at https://sc.edu/about/offices_and_divisions/research/docs/sc_floods_project_summarybooklet.pdf (pp. 37-38)

Ph.D. Dissertation

Li Z. (2015). Optimizing Geospatial Cyberinfrastructure to Improve the Computing Capability for Climate Studies, Advisor and Committee Chair: Dr. Chaowei Yang,  Committee Members: Dr. George Taylor, Dr.  John Schnase, Dr. Kirk Borne, and Dr. Ruixin Yang

 

Translate »