Publications

  • Armstrong, M.P., Wang, S. and Zhang, Z. (2018) “The Internet of Things and Fast Data Streams: Prospects for Geospatial Data Science in Emerging Information Ecosystems”. In: M. Freundschuh and D. Sinton (Eds.), Frontiers of Geospatial Data Science. Conference Proceedings, AutoCarto/UCGIS 2018, the 22nd International Research Symposium on Computer-based Cartography and GIScience (pp. 11-17)

  • Armstrong, M.P., Wang, S., and Zhang, Z. (2018) “The Internet of Things and Fast Data Streams: Prospects for Geospatial Data Science in Emerging Information Ecosystems” Cartography and Geographic Information Science, accepted

  • Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., and Li, Z. (2018) “A High-Performance and In-Season Classification System of Field-Level Crop Types Using Time-Series Landsat Data and a Machine Learning Approach”. Remote Sensing of Environment, 210: 35-47

  • Davis, A. and Wang, S. (2018) “Geoexpression: A Petri Network Framework for Representing Geographic Process Concurrency”. Transactions in GIS, accepted

  • Finn, M.P. Liu, Y., Mattli, D.M., Behzad, B., Yamamoto, K.H., Shook, E., Padmanabhan, A., Stramel, M., and Wang, S. (2018) “High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructure”. In: CyberGIS for Geospatial Innovation and Discovery, edited by S. Wang and M.F. Goodchild, Springer, Dordrecht, Netherlands, pages: 171-188

  • Gao, Y., Li, T., Wang, S., Jeong, M., and Soltani, K. (2018) “A Multidimensional Spatial Scan Statistics Approach to Movement Pattern Comparison”. International Journal of Geographical Information Science (IJGIS), 32(7): 1304-1325

  • Gao, Y., Wang, S., Padmanabhan, A., Yin, J., and Cao, G. (2018) “Mapping Spatiotemporal Patterns of Events Using Social Media: A case Study of Influenza Trends”. IJGIS, 32(3), 425-449

  • Hu, H., Yin, D., Liu, Y. Y., Terstriep, J., Hong, X., Wendel, J., and Wang, S. (2018) “TopoLens: Building a CyberGIS Community Data Service for Enhancing the Usability of High-resolution National Topographic Datasets”. Concurrency and Computation: Practice and Experience, DOI:10.1002/cpe.4682

  • Jeong, M., Yin, J., and Wang, S. (2018) “Outliers Detection and Comparison of Origin-Destination Flows with Data Depth”. In: Proceedings of the 10th International Conference on Geographic Information Science (GIScience 2018), August 28 – 31, 2018, Melbourne, Australia

  • Liu, Y. Y., Maidment, D. R., Tarboton, D. G., Zheng, X., and Wang, S. (2018) “A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping”. Journal of the American Water Resources Association, DOI: 10.1111/1752-1688.12660

  • Lu, B., Wang, L., Liu, J. Zhou, W., Guo, L., Jeong, M., Wang, S., and Han, G. (2018) “LaSa: Location Aware Wireless Security Access Control for IoT Systems”. Mobile Networks and Applications, DOI: http://doi.org/10.1007/s11036-018-1088-x

  • Raubal, M., Wang, S., Guo, M., Jonietz, D., and Kiefer, P. (2018) “Proceedings of the Workshop on Spatial Big Data and Machine Learning in GIScience”.  GIScience 2018, Melbourne, Australia

  • Shook, E., Bowlick, F., Kemp, K., Ahlqvist, O., Carbajales, P., DiBiase, D., Kim, E., Lathrop, S., Ricker, B., Rickles, P., Rush, J., Swift, J., and Wang, S. (2018) “Cyber Literacy for GIScience: Toward Formalizing Geospatial Computing Education”. The Professional Geographer, accepted

  • Soliman, A., Mackay, A., Schmidt, Allan, B., Wang, S. (2018) “Quantifying the Geographic Distribution of Building Coverage Across the US for Urban Sustainability Studies”. Computers, Environment and Urban Systems, DOI: http://doi.org/10.1016/j.compenvurbsys.2018.05.010

  • Wang, S. and Goodchild, M. F. (2018) “CyberGIS for Geospatial Innovation and Discovery”. Springer, Dordrecht, Netherlands, DOI: 10.1007/978-94-024-1531-5

  • Xu, Z., Guan, K., Casler, N., Peng, B., and Wang, S. (2018) A 3D Convolutional Neural Network Method for Land Cover Classification Using LiDAR and Multi-Temporal Landsat Imagery”. ISPRS Journal of Photogrammetry and Remote Sensing, accpeted

  • Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S., and Han, J. (2018) “GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams”. ACM Transactions on Intelligent Systems and Technology, 9(3), DOI: https://doi.org/10.1145/3066166

  • Zhang, Z., Demšar, U., Wang, S., and Virrantaus, K. (2018) “A Spatial Fuzzy Influence Diagram for Modelling Spatial Objects’ Dependencies: A Case Study on Tree-related Electric Outages”. IJGIS, 32(2): 349-366

  • Hu, H., Lin, T., Wang, S., and Rodriguez, L. (2017) “A CyberGIS Approach to Uncertainty and Sensitivity Analysis in Biomass Supply Chain Optimization”. Applied Energy, 203, 26-40. https://doi.org/10.1016/j.apenergy.2017.03.107

  • Prasad, S. K., Aghajarian, D., McDermott, M., Shah, D., Mokbel, M., Puri, S., Rey, S. J., Shekhar, S., Xe, Y., Vatsavai, R. R., Wang, F., Liang, Y., Vo, H., and Wang, S.“Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap”. In: Proceedings of the 6th IEEE International Congress on Big Data, Honolulu, Hawaii, USA, June 25 – 30, 2017

  • Soliman, A., Soltani, K., Yin, J., Padmanabhan, A., and Wang, S. (2017) “Social Sensing of Urban Land Use Based on Analysis of Twitter Users’ Mobility Patterns”. PLOS ONE, DOI: 10.1371/journal.pone.0181657

  • Wang, S. (2017) “CyberGIS”. The International Encyclopedia of Geography. Edited by Douglas Richardson, Noel Castree, Michael F. Goodchild, Audrey Kobayashi, Weidong Liu, and Richard A. Marston. John Wiley & Sons, Ltd. http://dx.doi.org/10.1002/9781118786352.wbieg0931

  • Xu, L., Kwan, M., McLafferty, S., and Wang, S.(2017) “Predicting Demand for 311 Non-emergency Municipal Services: An Adaptive Space-Time Kernel Approach”. Applied Geography, 89: 133-141

  • Yin, D., Liu, Y., Padmanabhan, A., Terstriep, J., Rush, J., and Wang, S. (2017) “A CyberGIS-Jupyter Framework for Geospatial Analytics at Scale”. In: Proceedings of the 2017 Practice & Experience in Advanced Research Computing (PEARC’17). July 9–13. New Orleans, LA. https://dl.acm.org/citation.cfm?id=3093378

  • Yin, J., Gao, Y., and Wang, S. (2017) “CyberGIS-Enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices”. In: Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics,

  • Yin, J., Soliman, A., Yin, D, and Wang, S. (2017) “Depicting Urban Boundaries from a Mobility Network of Spatial Interactions: A Case Study of Great Britain with Geo-located Twitter Data”. International Journal of Geographical Information Science, 31(7), 1293-1313. https://doi.org/10.1080/13658816.2017.1282615

  • Zhang, C., Zhang, K., Yuan, Q., Peng, H., Zheng, Y., Hanratty, T., Wang, S., and Han, J. “Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning”. In: Proceedings of the 26th International World Web Conference (WWW), Perth, Australia, April 3 – 7, 2017

  • Casler, N. Soltani, K., Hu, H., Lu, B., Yin, D., Liu, Y., Wang, S. (2016) “Multigrid Framework for Large Scale Global Raster Analytics”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Hu, H., Hong, X., Terstriep, J., Liu, Y., Finn, M., Rush, J., Wendel, J., Wang, S. (2016) “TopoLens: Building A CyberGIS Community Data Service for Enhancing the Usability of High-resolution National Topographic Datasets”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949652

  • Hu, H., Lin, T., Li, B., Wang, S. (2016) “Spatiotemporal Bayesian Hierarchical Model for Analysis of Weather Variability on Crop Yield”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Jeong, M.-H., Cai, Y., Sullivan, C. J., and Wang, S. (2016) “Data depth based clustering analysis”. In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016)https://dl.acm.org/citation.cfm?id=2996984

  • Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Density maps based on data depth”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods”. In Proceedings IEEE Nuclear Science Symposium & Medical Imaging Conferencehttp://ieeexplore.ieee.org/document/8069703/

  • Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Urban search of radioactive materials enhanced by mobile sensor networks and geospatial methods”. In IEEE Symposium on radiation measurements and applications.

  • Junjun Yin, Bingxian Lu, Dandong Yin, and Shaowen Wang. (2016) “A Scalable Visual-analytics Approach for Studying Mobility Networks: Revealing Hierarchical Structures in Taxi Mobility Flows of New York”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Larry Stanislawski, Yan Liu, Barbara Buttenfield, Kornelijus Survila and Jeffrey Wendel. (2016) “High Performance Computing to Support Multiscale Representation of Hydrography for the Conterminous United States”. 19th ICA Workshop on Generalisation and Multiple Representation. 14th June 2016. Helsinki, Finland. http://pubs.er.usgs.gov/publication/70191228

  • Lawrence Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu and Barbara Buttenfield. (2016) “An Open Source Solution to High Performance Processing for Extracting Drainage Channels from Diverse Terrain Conditions”. AutoCarto 2016. September 14-16, 2016. Albuquerque, New Mexico. accepted

  • Liu, Y.Y., Cho, W.K.T., Wang, S. (2016) “PEAR: A Massively Parallel Evolutionary Computational Approach for Political Redistricting Optimization and Analysis”. Journal of Swarm and Evolutionary Computation. 30, 78-92. http://dx.doi.org/10.1016/j.swevo.2016.04.004

  • Shook, E., Hodgson, M. E., Wang, S., Behzad, B., Soltani, K., Hiscox, A., and Ajayakumar, J. “Parallel cartographic modeling: A methodology for parallelizing spatial data processing.” International Journal of Geographical Information Science. 30(12), 2355-2376. https://doi.org/10.1080/13658816.2016.1172714

  • Soliman, A., Soltani, K., Padmanabhan, A., and Wang, S. (2016) “Consistency of Social Sensing Signatures Across Major US Cities”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Soltani, K., Padmanabhan, A., Liu, Y., Wang, S. (2016) “Fast Indexing of Spatial Objects Using GeoHash”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

  • Soltani, K., Soliman, A., Padmanabhan, A., and Wang, S. (2016) “UrbanFlow: Large-scale Framework to Integrate Social Media and Authoritative Landuse Maps”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949578

  • Survila, K., Yildirim, A.A., Li, T., Liu, Y., Tarboton, D., and Wang, S. (2016) “A Scalable High-performance Topographic Flow Direction Algorithm for Hydrological Information Analysis”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949571

  • Wang, S. (2016) Commentary: “CyberGIS and Spatial Data Science”. GeoJournal. 81(6), 965-968. https://doi.org/10.1007/s10708-016-9740-0

  • Yan Y Liu, David R Maidment, David G Tarboton, Xing Zheng, Ahmet Yildirim, Nazmus S Sazib and Shaowen Wang. (2016) “A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois. http://dx.doi.org/10.13140/RG.2.2.24234.41925/1

  • Yildirim, A.A., Tarboton, D., Liu, Y., Sazib, N.S., Wang, S. (2016) “Accelerating TauDEM for Extracting Hydrology Information from National-Scale High Resolution Topographic Dataset”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949582

  • Zhang, C., Zhou, G., Yuan, Q., Zhuang, H., Zheng, Y., Kaplan, L., Wang, S., and Han, J. “GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams.” The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)https://dl.acm.org/citation.cfm?id=2911519

  • Zhi, Y., Li, H., Wang, D., Deng, M., Wang, S., Gao, J., Duan, Z., and & Liu, Y. (2016) “Latent Spatio-Temporal Activity Structures: A New Approach to Inferring Intra-Urban Functional Regions via Social Media Check-in Data”. Geo-spatial Information Science. 19(2), 94-105. https://doi.org/10.1080/10095020.2016.1176723

  • Cao, G., Wang, S., Hwang, M., Padmanabhan, A., Zhang, Z., and Soltani, K. (2015) “A Scalable Framework for Spatiotemporal Analysis of Location-based Social Media Data”. Computers, Environment and Urban Systems. 51, 70-82. https://doi.org/10.1016/j.compenvurbsys.2015.01.002

  • Helwig, N. E., Gao, Y., Wang, S., and Ma, P. (2015) “Analyzing Spatiotemporal Trends in Social Media Data via Smoothing Spline Analysis of Variance”. Spatial Statistics. 14, 491-504. https://doi.org/10.1016/j.spasta.2015.09.002

  • Hu, H., Lin, T., Liu, Y.Y., Wang, S., Rodriguez, L. (2015) “CyberGIS-BioScope: A Cyberinfrastructure-based Spatial Decision-Making Environment for Biomass-to-Biofuel Supply Chain Optimization”. Concurrency and Computation: Practice and Experience. 27(16), 4437-4450. http://dx.doi.org/10.1002/cpe.3535

  • Jeong, M.-H., Sullivan, C. J., and Wang, S. (2015) “Complex radiation sensor networks analysis with big data analytics”. In Proceedings IEEE Nuclear Science Symposium & Medical Imaging Conference, San Diego, California, USA. http://ieeexplore.ieee.org/abstract/document/7581760/

  • Jeong, M.-H., Wang, S., and Sullivan, C. J. (2015) “Analysis of Dynamic Radiation Level Changes Using Surface Networks”. Proceedings of Advancing Geographic Information Science: The past and Next Twenty Years, accepted

  • Lin, T., Wang, S., Rodríguez, L. F., Hu, H., and Liu, Y.Y. (2015) “CyberGIS-Enabled Decision Support Platform for Biomass Supply Chain Optimization”. Environmental Modelling & Software. 70, 138-148. https://doi.org/10.1016/j.envsoft.2015.03.018

  • Liu, Y.Y, Cho, W.K.T, Wang, S. (2015) “A Scalable Computational Approach to Political Redistricting Optimization”. Proceedings of the 2015 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’15), July 26-30. St Louis, Missouri. accepted. DOI: 10.1145/2792745.2792751

  • Liu, Y.Y. and Wang, S.(2015) “A Scalable Parallel Genetic Algorithm for the Generalized Assignment Problem.” Parallel Computing. 46, 98-119. http://dx.doi.org/10.1016/j.parco.2014.04.008

  • Liu, Y.Y., Padmanabhan, A., and Wang, S. (2015) “CyberGIS Gateway for Enabling Data-Rich Geospatial Research and Education.” Concurrency and Computation: Practice and Experience. 27(2), 395-407. http://dx.doi.org/10.1002/cpe.3256

  • McGrath, J. M., Betzelberger, A. M., Wang, S., Shook, E., Zhu, X., Long, S. P., and Ainsworth, E. (2015) “An Analysis of Ozone Damage to Historical Maize and Soybean Yields in the United States”. Proceedings of the National Academy of Sciences. 112(46), 14390-14395. https://doi.org/10.1073/pnas.1509777112

  • Pineda-Morales, L., Subramaniam, B., Keahey, K., Antoniu, G., Costan, A., Wang, S., Padmanabhan, A., and Soliman, A. (2015) “Scaling Smart Appliances for Spatial Data Synthesis”. Poster at Supercomputing 2015 (SC’15), accepted.

  • Shi, X. and Wang, S. (2015) “Computational and Data Sciences for Health-GIS”. Annals of GIS. 21(2), 111-118. https://doi.org/10.1080/19475683.2015.1027735

  • Shook, E. and Wang, S. (2015) “Investigating the Influence of Spatial and Temporal Granularities on Agent-Based Modeling”. Geographical Analysis. 47(4), 321-348. http://dx.doi.org/10.1111/gean.12080

  • Soliman, A., Yin, J., Soltani, K., Padmanabhan, A., and Wang, S. (2015) “Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users”. Proceedings of the First ACM SIGSPATIAL International Workshop on Smart Cities and Urban Analytics (UrbanGIS’15)https://dl.acm.org/citation.cfm?id=2835032

  • Soltani, K., Padmanabhan, A., and Wang, S. (2015) “MovePattern:Interactive framework to provide scalable visualization of movement patterns”. Proceedings of the 2015 ACM SIGSPATIAL International Workshop on Computational Transportation Science, accepted.

  • Soltani, K., Parameswaran, A., and Wang, S. (2015) “GeoHashViz: Interactive Analytics for Mapping Spatiotemporal Diffusion of Twitter Hashtags”. Proceedings of the 2015 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’15), accepted. DOI: 10.1145/2792745.2792782

  • Wang, S., Liu, Y., and Padmanabhan, A. (2015) “Open CyberGIS Software for Geospatial Research and Education in the Big Data Era”. SoftwareX. 5, 1-5. https://doi.org/10.1016/j.softx.2015.10.003

  • Wendel, J., Finn, M. P., Kosovich, J., Falgout, J., and Liu, Y. (2015) “A solution for processing large files in the LASer (LAS) format using the message passing interface (MPI) and parallel file systems”. In Proceedings of a pre-conference workshop of the 27th International Cartographic Conference: Spatial data infrastructures, standards, open source and open data for geospatial (SDI-Open 2015), 20-21 August 2015, Brazilian Institute of Geography and Statistics (IBGE), Rio de Janeiro, Brazil.

  • Yin, D., Du, S., Wang, S., and Guo, Z. (2015) “A Direction-Guided Ant Colony Optimization Method for Extraction of Urban Road Information from Very-High-Resolution Images”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS). 8(10), 4785-4794. http://ieeexplore.ieee.org/abstract/document/7293629/

  • Cao, G., Yoo, E., and Wang, S. (2014) “A Statistical Framework of Data Fusion for Spatial Prediction of Categorical Variables.” Stochastic Environmental Research and Risk Assessment. 28(7), 1785-1799. https://doi.org/10.1007/s00477-013-0842-7

  • Fan, Y., Liu, Y.Y., Wang, S., Tarboton, D., Yildirim, A., and Wilkins-Diehr, N. (2014) “Accelerating TauDEM as a Scalable Hydrological Terrain Analysis Service on XSEDE”. Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’14), pages: 5:1–5:2. ACM Press. July 13-18, Atlanta, GA. http://doi.acm.org/10.1145/2616498.2616510 . [presentation: PDF | PPT ]

  • Hu, H., Lin, T., Liu, Y., Wang, S., Rodriguez, L. (2014) “CyberGIS-BioScope: A Cyberinfrastructure-based Spatial Decision-Making Environment for Biomass-to-Biofuel Supply Chain Optimization”. In: Proceedings of the 2014 ACM workshop on Gateway computing environments (GCE’14), Nov. 21, 2014. New Orleans, Louisiana, USA

  • Padmanabhan, A., Wang, S., Cao, G., Hwang, M., Zhang, Z., Gao, Y., Soltani, K., and Liu, Y.Y. (2014) “FluMapper: A CyberGIS Application for Interactive Analysis of Massive Location-based Social Media.” Concurrency and Computation: Practice and Experience. 26(13), 2253–2265. http://dx.doi.org/10.1002/cpe.3287

  • Riteau, P., Hwang, M, Padmanabhan, A., Gao, Y., Liu, Y.Y., Keahey, K., Wang, S. (2014) “A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics”. In: Proceedings of the 5th ACM workshop on Scientific cloud computing (ScienceCloud ’14), pages 17-24 ACM Press. June 23, 2014, Vancouver, BC, Canada. http://doi.acm.org/10.1145/2608029.2608032

  • Wang, S., Hu, H., Lin, T., Liu, Y., Padmanabhan, A., and Soltani, K. (2014) “CyberGIS for Data-Intensive Knowledge Discovery”. ACM SIGSPATIAL Newsletter. 6(2), 26-33. https://dl.acm.org/citation.cfm?id=2744704

  • Ye, S., Li, H., Huang, M., Alic, M., Leng, G., Leung, L. R., Wang, S., and Sivapalan, M. (2014) “Regionalization of Subsurface Stormflow Parameters of Hydrologic Models: Derivation from Regional Analysis of Streamflow Recession Curves.” Journal of Hydrology. 519, 670–682. https://doi.org/10.1016/j.jhydrol.2014.07.017

  • Youn, C., Nandigam, V., Phan, M., Tarboton, D., Wilkins-Diehr, N., Baru, C., Crosby, C., Padmanabhan, A., and Wang, S. (2014) “Leveraging XSEDE HPC resources to address computational challenges with high-resolution topography data”. Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’14), pages: 59:1–59:2. ACM Press. July 13-18, Atlanta, GA. http://dx.doi.org/10.1145/2616498.2616564

  • Zhang, Z., Wang, S., Cao, G., Padmanabhan, A., Wu, K. (2014) “A Scalable Approach to Extracting Mobility Patterns from Social Media Data.” In: Proceedings of the 22nd International Conference on Geoinformatics (Geoinformatics 2014), pages 1-6, IEEE Xplore Digital Library. http://ieeexplore.ieee.org/abstract/document/6950845/

  • Hwang, M., Wang, S., Cao, G., Padmanabhan, A., Zhang, Z. (2013) “Spatiotemporal Transformation of Social Media Geostreams: A Case Study of Twitter for Flu Risk Analysis.” In: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), November 5 2013, Orlando, Florida, USA

  • Leetaru, K., Wang, S., Cao, G., Padmanabhan, A., Shook, E. (2013) “Mapping the Global Twitter Heartbeat: The Geography of Twitter.” First Monday. 18(5). http://dx.doi.org/10.5210/fm.v18i5.4366

  • Liu, Y. Y., Guo M., Wang, S. (2013) “Large-scale Land Use Optimization by Enhancing a Scalable Parallel Genetic Algorithm Library.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery, Jul 22-25 2013, San Diego, CA, USA.

  • Liu, Y., Padmanabhan, A., and Wang S. (2013) “CyberGIS Gateway for Enabling Data-Rich Geospatial Research and Education”. In: Proceedings of Science Gateway Institute Workshop (IEEE Cluster 2013), pages: 1-3. September 27, 2013, Indianapolis, Indiana. http://dx.doi.org/10.1109/CLUSTER.2013.6702694 . PDF

  • Padmanabhan, A., Wang, S., Cao, G., Hwang, M., Zhao, Y., Zhang, Z., and Gao, Y. 2013. “FluMapper: An Interactive CyberGIS Environment for Massive Location-based Social Media Data Analysis.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery, Jul 22-25 2013, San Diego, CA, USA.

  • Padmanabhan, A., Youn, C., Hwang, M., Liu, Y., Wang, S., Wilkins-Diehr, N., and Crosby, C. (2013) “Integration of Science Gateways: A Case Study with CyberGIS and OpenTopography.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery, Jul 22-25 2013, San Diego, CA, USA.

  • Shook, E., Wang, S., and Tang, W. “A Communication-Aware Framework for Parallel Spatially Explicit Agent-Based Models.” International Journal of Geographical Information Science. 27(11), 2160-2181. https://doi.org/10.1080/13658816.2013.771740

  • Wang, S. “CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science. 27(11), 2119-2121. https://doi.org/10.1080/13658816.2013.841318

  • Wang, S. (Editor) “Special Issue on CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science, 27(11)

  • Wang, S., Anselin, L., Bhaduri, B., Crosby, C., Goodchild, M. F., Liu, Y., and Nyerges, T. L. (2013) “CyberGIS Software: A Synthetic Review and Integration Roadmap.” International Journal of Geographical Information Science. 27(11), 2122-2145. https://doi.org/10.1080/13658816.2013.776049

  • Wang, S., Cao, G., Zhang, Z., Zhao, Y., and Padmanabhan, A. (2013) “A CyberGIS Environment for Analysis of Location-Based Social Media Data.” In: Location-Based Computing and Services, 2nd Edition, ed. A. K. Hassan and H. Amin, CRC Press, pages: 187-205

  • Zhao, Y., Padmanabhan, A., and Wang, S. (2013) “A Parallel Computing Approach to Viewshed Analysis of Large Terrain Data Using Graphics Processing Units.” International Journal of Geographical Information Science. 27(2), 363-384. https://doi.org/10.1080/13658816.2012.692372