Refereed Journal Articles

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 12(7): e0181657

Yin, J., Soliman, A., Yin, D., & 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, 1-21.

Refereed Conference Papers

Soliman, A., Soltani, K., Padmanabhan, A. and Wang, S. (2016) .“Consistency of social sensing signatures across major US cities”. CyberGIS’16:The Third International Conference on CyberGIS and Geospatial Data Science. (best paper award).

Soltani, K., Soliman, A., Padmanabhan, A. and Wang, S. (2016) “Urban Flow: Large-scale framework to integrate social media and authoritative landuse maps”. In: Proceedings of the 2016 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, ACM.

Soliman, A., Soltani, K., Padmanabhan, A. and Wang, S. (2015) “ Where Chicagoans tweet the most : Semantic analysis of preferential return locations of Twitter users”. In:Proceedings of the 1ST ACM SIGSPATIAL International Workshop on Smart Cities and Urban Analytics (UrbanGIS’15), ACM.

Manuscripts in Preparation

Soliman, A.,  Mackay, A.,  Schmidt, A., Juma, E., Lee, S., Allan, B. and S. Wang. Estimating the geographical distribution of built-up area across the United States.

Davis, A., Soliman, A.  and Wang, S. A conceptual framework for understanding process in simulated space.

Zhang, Z., Virrantaus, K., Yin, D., Soliman, A., and S. Wang. A Spatiotemporal Population Model Using Location-based Social Media and Urban Infrastructure Register Data for Emergency Management.

Allan, B., Juma, E., Lee, S., Mackay, A., Schmidt, A., Soliman, S. and Wang, S. Adapting the NRCS curve number method to estimate urban runoff across the U.S.