Yi Qiang

Assistant Professor
University of Hawaii - Manoa

About me

I'm an assistant professor in the Department of Geography, University of Hawaii - Manoa, teaching and researching on Geographic Information Science.

Keywords of my research: spatio-temporal data modeling, visual analytics, geocomputation, disaster vulnerability and resilience, quantitative modeling of coupled natural and human systems

I am currently hiring graduate students with a degree in geography, computer science, environmental sciences or other relevant disciplines for 2018-2019 Academic Year.

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Yi Qiang

Appointments

Assistant Professor (2017 - present), Dept. of Geography, University of Hawaii - Manoa

Research Associate (2016), Dept. of Geography, The Earth Lab, University of Colorado - Boulder

Postdoctoral researcher (2013 - 2016), Dept. of Environmental Sciences, Louisiana State University

Research assistant (2007), e-Science Institute, UK

Degrees

Ph.D. in Geography (2012), Ghent University, Belgium

M.Sc. in Geographic Information Science(2007), University of Edinburgh, UK

B.Sc. in Geographic Information Systems (2006), Beijing Normal University, China

B.A. in Law (2006), Beijing Normal University, China

Research

Visual analytics

Continuous Pyramid Model

In the Big Data era, geospatial data are generated at an amazing speed from different sources. Visual Analytics is critical in extract useful and actionable information from the jungle of data. My research has been focused on pattern detection and interactive exploration of multi-dimensional geospatial data using visualization techniques. I'm particularly interested in how the advancing cyberinfrastructure and emerging visualization techniques will convert the Big Data into Big Information and Big Knowledge

Geospatial Big Data

With the emergence of Web 2.0, social media networks are becoming platforms where numerous users can publish and exchange information at any time in any place. In social media, every user acts as an intelligent sensor that collects and shares information about their surrounding environment. I'm currently working on projects that leverage social media data to understand human dynamics in natural hazards and climate change.

Word Cloud of Geospatial Big Data

Disaster vulnerability and resilience

Flood in Louisiana

About disaster vulnerability and resilience, there are enough discussions. But few method can quantify these vague concepts and suggest effective and actionable strategies to reduce vulnerability and prompt resilience. I have been focusing on quantitatvie assessment of vulnerability and resilience using geospatial techniques and data-driven approaches.

Dynamic Modeling of Coupled Natural and Human Systems

In earth sciences, it is more and more accepted that social and natural systems have to be coupled to be fully understood. Interactions between the systems are typically dynamic, non-linear and nested, which cannot be well explained by traditional statistical methods. The advancements of complex system, cyberinfrastructure, and artificial intelligence provide opportunities to investigate the complex interactions within a coupled natural and human (CNH) system. I combine GIS, data mining and geosimulation techniques to model dynamics of CNH systems in the context of natural hazards and climate change.

Coupled Natural and Human Systems

Space-time modeling

The modeling of space and time is fundamental in many disciplines. In GIS, time is conventionally represented as a linear thing. However, the linear time is not efficient for visualizing large quantity of time-dependent data. My Ph.D. (dissertation) research focused on an alternative representation of time, the Triangular Model, and its use analyzing time-dependent geospatial data. This model been applied in analyses of human mobility, archeological data, transportation, and climate data. More potential of this model in cross-scale analysis is yet to be explored.

PDF dissertation

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Teaching

GEOG104: Digital Earth (GEOG104).

GEOG388: Introduction to GIS (GEOG388).

GEOG489: Applied GIS (GEOG489).

GEOG389: Geospatial Data Analytics(upcoming).

GEOG476: Web Mapping(upcoming).

Publications

Journals

Qiang, Y., Lam, N., Zou, L. and Cai, H., (2017) 'Changes in Exposure to Flood Hazards in the United States', Annals of the American Association of Geographers, vol. 107, no. 6. [access]

Li, X., Lam, N., Qiang, Y., Li, K., Yin, L., Liu, S., and Zheng, W., (2016) 'Measuring County Resilience after the 2008 Wenchuan Earthquake', International Journal of Disaster Risk Science, vol.7, no.4. [pdf]

Qiang, Y. and Lam, N., (2016) 'The Impact of Hurricane Katrina on Urban Growth in Louisiana: An Analysis Using Data Mining and Simulation Approaches', International Journal of Geographical Information Science, vol.30 no.9. [pdf]

Bianchette, T., Liu, K.,Qiang, Y., and Lam, N., (2015) 'Wetland accretion rates along coastal Louisiana: Spatial and temporal variability in light of Hurricane Isaac's impacts', Water, vol.8, no.1

Cai, H., Lam, N., Zou, L.,Qiang, Y., Li, K., (2015) 'Assessing Community Resilience to Coastal Hazards in the Lower Mississippi River Basin', Water, vol.8, no.1

Zou, L., Kent, J., Lam, N., Cai, H., Qiang, Y.., Li, K., (2015) 'Evaluating Land Subsidence Rates and their Implications for Land Loss in the Lower Mississippi River Basin', Water, vol.8, no.1

Lam, N., Qiang, Y., Arenas, H., Brito, P. and Liu, K., (2015) 'Mapping and Assessing Coastal Resilience in the Caribbean', Cartography and Geographic Information Science, vol. 42, no. 4 [access]

Li, K., Lam, N., Qiang, Y., Zou, L. and Cai H., (2015) 'A Cyberinfrastructure for Community Resilience Assessment and Visualization'. Cartography and Geographic Information Science, vol.42, no.s1 [access]

Qiang, Y. and Lam, N., (2015) 'Modeling Land Use and Land Cover Changes in a Vulnerable Coastal Region Using Artificial Neural Networks and Cellular Automata', Environmental Monitoring and Assessment (in press).

Chavoshi, S. H., De Baets, B., Qiang, Y., De Tre, G, Neutens, T., Van de Weghe, N. (2014) A Qualitative Approach to the Identification, Visualisation and Interpretation of Repetitive Motion Patterns in Groups of Moving Point Objects. International Arab Journal of Information Technology. (In press).

Van de Weghe, N., De Rooa, B., Qiang, Y., Versichelea, M., Neutens, T. & De Maeyera, P. (2014) The continuous spatio-temporal model (CSTM) as an exhaustive framework for multi-scale spatio-temporal analysis. International Journal of Geographical Information Science, vol. 28, no. 5, pp 1047-1060 [access].

Qiang, Y., Valcke M., & Van de Weghe, N., De Maeyer, P. (2014) Representing Time Intervals in a Two-Dimensional Space: an Empirical Exploratory Study. Journal of Visual Languages and Computing, vol. 25, no. 4, pp 466-480. [pdf]

Qiang, Y., Chavoshi, S.H., Logghe, S., De Maeyer, P., and; Van de Weghe, N. (2014) Multi-scale Analysis of Linear Data in a Two-Dimensional Space, Information Visualization, vol. 13, no. 3, pp 248-265. [pdf]

Qiang, Y., Delafontaine, M., Versichele, M., De Maeyer, P., and Van de Weghe, N., (2012) Interactive Analysis of Time Intervals in a Two-Dimensional Space, Information Visualization,vol. 49, no. 3, pp 265-280 [pdf]

Qiang, Y., Delafontaine, M., Neutens, T., Stichelbaut, B., De Maeyer, P., and; Van de Weghe, N., (2012) Analysing imperfect temporal information in GIS using the Triangular Model, The Cartographic Journal, vol. 11, no. 4, pp. 255-272. [pdf]

Qiang, Y., Delafontaine, M., Asmussen, K., Stichelbaut, B., De Tre, G., De Maeyer, P. and Van de Weghe, N. (2010) Modelling Imperfect Time Intervals in a Two-Dimensional Space, Journal of Control and Cybernetics, vol. 39, no. 4, pp. 983-1010. [pdf]

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Conference proceedings

De Tre, G., Bronselaer A., Billiet C. Qiang Y., Van de Weghe N., De Maeyer P. Pons, E. J.and Pons O.(2012) Visualising and handling uncertain time intervals in a two-dimensional triangular space, In proceedings of the 2nd world conference on soft computing, Baku, Azerbaijan, pp.585-592

Asmussen,K., Qiang, Y., De Maeyer, P., Van de Weghe, N. (2009). Triangular Model for Studying and Memorising Temporal Knowledge, In proceedings of International Conference of Education, Research and Innovation, Madrid, Spain. pp. 1849-1859. [pdf]

Qiang, Y., Reitsma, F. and; Van de Weghe, N. (2009) Towards a General Temporal Ontology for Knowledge Integration, In proceedings of the International Conference on Knowledge Engineering and Ontology Development, Funchal. Portugal. pp. 275-280. [pdf]

Qiang, Y., Asmussen, K., Delafontaine, M., De Tre, G., Stichelbaut, B., De Maeyer, P. and; Van de Weghe, N. (2009) Visualising rough time intervals in a two-dimensional space, In proceedings of 2009 IFSA World Congress / EUSFLAT Conference, Lisbon, Portugal. pp. 1480-1485 [pdf]

Book Chapter

Brodaric, B., Reitsma, F. and; Qiang, Y. 2007, SKIing with DOLCE: toward an e-Science Knowledge Infrastructure, in Formal ontology in information systems, C Eschenbach, M Gruninger (ed.), Amsterdam, The Netherlands. pp. 208-219 [pdf]

Monograph

Qiang, Y. Modelling Temporal Information in a Two-Dimensional Space: An Visualization Perspective. Ph.D. Dissertation. Ghent University. [pdf]

Invited talks and conference presentations

'Comparing the Land Use Land Cover Change between the South and North Louisiana Using Data Mining', the 29th RSGIS workshop in Louisiana, Lafayette, Louisiana, April 2013

Multi-Scale Analysis of Linear Data in a Two-Dimensional Space', workshop of space-time cube, Enschede, the Netherlands, June 2012

'Visualising and analysing time series data in GIS', the Workshop of Geospatial Visual Analytics: Focus on Time (GeoVa(t)), Guimaraes, Portugal, May 2010

'Triangular Model for Studying and Memorising Temporal Knowledge', International Conference of Education, Research and Innovation, Madrid, Spain, Nov. 2009

Towards a General Temporal Ontology for Knowledge Integration', the International Conference on Knowledge Engineering and Ontology Development, Funchal. Portugal, Oct. 2009

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Contact

Phone: telephone number

Email: email

Office: Saunders Hall 416, 2424 Maile Way, Honolulu, Hawaii, 96822