Publications (in the order of journal/viewpoint/book chapter/proceeding within each year)

2017

  • 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, accepted
  • Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S., and Han, J. 2017. “GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams”. ACM Transactions on Intelligent Systems and Technology, accepted
  • 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. accepted.
  • 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, DOI: 10.1080/13658816.2017.1282615
  • 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. DOI: 10.1002/9781118786352.wbieg0931

2016

  • Wang, S. 2016. Commentary: “CyberGIS and Spatial Data Science”. GeoJournal. DOI: 10.1007/s10708-016-9740-0
  • 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, in press
  • 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. Vol 30, pp 78-92. http://dx.doi.org/10.1016/j.swevo.2016.04.004
  • 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, DOI: 10.1080/10095020.2016.1176723
  • 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), October 31 - Thursday November 3, 2016 — San Francisco Bay Area, California, USA. accepted.
  • 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.
  • 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.
  • 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.
  • 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., 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.
  • 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 .
  • 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.
  • 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 Conference, Strasbourg, France, accepted.
  • 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, San Francisco, California, USA, accepted.
  • 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
  • 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. accepted
  • 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), accepted
  • 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. accepted.
  • 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. accepted.
  • 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. accepted.
  • 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. accepted.

2015

  • Wang, S., Liu, Y., and Padmanabhan, A. 2015. “Open CyberGIS Software for Geospatial Research and Education in the Big Data Era”. SoftwareX, DOI:10.1016/j.softx.2015.10.003
  • 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, DOI:10.1073/pnas.1509777112
  • 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, DOI: 10.1016/j.spasta.2015.09.002
  • 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), DOI:10.1109/JSTARS.2015.2477097
  • Shook, E. and Wang, S. 2015. “Investigating the Influence of Spatial and Temporal Granularities on Agent-Based Modeling”. Geographical Analysis, DOI:10.1111/gean.12080
  • 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, DOI:10.1002/cpe.3535
  • 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
  • Shi, X. and Wang, S. 2015. “Computational and Data Sciences for Health-GIS”. Annals of GIS, 21(2): 111-118
  • 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, DOI:10.1016/j.compenvurbsys.2015.01.002
  • 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
  • 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, accepted.
  • 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
  • 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
  • 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
  • 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), accepted
  • 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.
  • 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.
  • 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.

2014

  • 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. DOI: 10.1007/s00477-013-0842-7
  • 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
  • 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
  • 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
  • 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
  • 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 ]
  • 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
  • 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
  • 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

2013

  • Wang, S. “CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science, 27(11): 2119-2121
  • Wang, S. (Editor) “Special Issue on CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science, 27(11)
  • Leetaru, K., Wang, S., Cao, G., Padmanabhan, A., Shook, E. 2013. “Mapping the Global Twitter Heartbeat: The Geography of Twitter.” First Monday, 18(5), DOI:10.5210/fm.v18i5.4366
  • 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
  • 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
  • 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. pdf
  • 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
  • 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
  • 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.
  • 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.

2012

  • Ye, S. Covino, T. P., Sivapalan, M., Basu, N. B., Li, H., and Wang, S. “Dissolved Nutrient Retention Dynamics in River Networks: A Modeling Investigation of Transient Flows and Scale Effects.” Water Resources Research, 48 (6), DOI: 10.1029/2011WR010508
  • Wang, S., Wilkins-Diehr, N. R., and Nyerges, T. L. 2012. “CyberGIS – Toward Synergistic Advancement of Cyberinfrastructure and GIScience: A Workshop Summary.” Journal of Spatial Information Science, 4: 125-148. pdf
  • Cao, K., Huang, B., Wang, S., and Lin, H. 2012 “Sustainable Land Use Optimization Using Boundary-based Fast Genetic Algorithm.” Computers, Environment, and Urban Systems. 36 (3): 257-269
    • “NOTICE: this is the author’s version of a work that was accepted for publication in Computers, Environment, and Urban Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers, Environment, and Urban Systems. 36 (3): 257-269. DOI http://dx.doi.org/10.1016/j.compenvurbsys.2011.08.001
  • Cao, G., Wang, S., and Guan, Q. 2012. “A State-Space Model for Understanding Spatial Dynamics Represented by Areal Data.” In: Proceedings of the 7th International Conference on Geographic Information Science, September 19-21, 2012, Columbus, OH, USA pdf
  • Shook, E., Leetaru, K., Cao, G., Padmanabhan, A., and Wang. S. 2012. “Happy or Not : Generating Topic-based Emotional Heatmaps for Culturomics Using CyberGIS.” In: Proceedings of the 8th IEEE International Conference on eScience 2012, IEEE CS Press, in press
    • © © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. DOI: http://dx.doi.org/10.1109/eScience.2012.6404440

2011

  • Bennett, D.A., Tang, W., and Wang, S. 2011. “Toward an Understanding of Provenance in Complex Land Use Dynamics.” Land Use Science, 6 (2): 211-230
  • Tang, W., Wang, S., Bennett, D.A., and Liu, Y. “Agent-based Modeling within a Cyberinfrastructure Environment: A Service-Oriented Computing Approach.” International Journal of Geographical Information Science, 25 (9): 1323–1346
  • Armstrong, M.P., Nyerges, T.L., Wang, S., and Wright, D. 2011. “Connecting Geospatial Information to Society through Cyberinfrastructure”, In The SAGE Handbook of GIS and Society, ed. T.L. Nyerges, H. Couclelis and R.B. McMaster, 109-122. Los Angeles: SAGE Publications, Inc.
  • Shook, S., and Wang, S. A Parallel Input-Output System for Resolving Spatial Data Challenges: An Agent-Based Model Case Study. In: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2011), November 1, 2011, Chicago, IL, USA. ACM Digital Library
  • Behzad, B., Padmanabhan, A., Liu, Y., Liu, Y., and Wang, S. Integrating CyberGIS Gateway with Windows Azure: A Case Study on MODFLOW Groundwater Simulation. In: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2011), November 1, 2011, Chicago, IL, USA. ACM Digital Library pdf
  • Wang, S., Wilkins-Diehr, N., Padmanabhan, A. Shi, X., and Vatsavai, R. R. 2011. “Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM SIGSPATIAL HPDGIS 2011).” ACM Digital Library Proceedings
  • Padmanabhan, A., Wang, S, and Navarro, J.P. 2011. “A CyberGIS Gateway Approach to Interoperable Access to the National Science Foundation TeraGrid and the Open Science Grid”. In: Proceedings of TeraGrid 2011 Conference: Extreme Digital Discovery, July, 2011, Salt Lake City, UT. pdf

2010

  • Padmanabhan, A., S. Ghosh, and S. Wang. 2010. “A Self-Organized Grouping (SOG) Framework for Efficient Grid Resource Discovery. Journal of Grid Computing”. 8(3): 365-389 pdf
  • Wang, S. 2010. “A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis.” Annals of the Association of American Geographers, 100(3): 535-557
  • Wang, S. 2010. “Spatial Interpolation.” Encyclopedia of Geography. SAGE Publications, Inc
  • Liu, Y., Wu, K., Wang, S., Zhao, Y., and Huang, Q. “A MapReduce Approach to Gi*(d) Spatial Statistic”. In: Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2010), November 2, 2010, San Jose, CA, USA http://dl.acm.org/citation.cfm?id=1869695
  • Padmanabhan, A., and Wang, S. “A Distributed Resource Broker for Spatial Middleware Using Adaptive Space-Filling Curve”. In: Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2010), November 2, 2010, San Jose, CA, USA pdf

before 2010