Publications

Related publications by the CPC team

• Adnan M., Longley P.A., Singleton A.D. and Brunsdon C. 2010. Towards real-time geodemographics: clustering algorithm performance for large multidimensional spatial databases. Transactions in GIS, 14: 283-97.

• Ashby, D.I. and Longley P.A. 2005. Geocomputation, geodemographics and resource allocation for local policing. Transactions in GIS 9: 53-72.

• Bolbol A. and Cheng T. 2011. Using window-based SVM classification to infer travel mode from GPS data, submitted to the 11th International Conference of Geocomputation 2011, London.

• Bowers K.J. and Johnson S.D. 2005. Domestic burglary repeats and space–time clusters: the dimensions of risk. European Journal of Criminology 2:67-92.

• Cheng T. and Anbaroglu B. 2010. Spatio-temporal clustering of road network data. International Conf. on Artificial Intelligence and Computer Intelligence, LNCS, 6319: 116-123.

• Cheng T., Haworth J. and Wang J. 2011a. Some implications of complexity in network spatiotemporal autocorrelation structures. Journal of Geog Sys (accepted subject to minor revision).

• Cheng T. and Wang, J. 2008. Integrated spatio-temporal data mining for forest fire prediction.Transactions in GIS, 12: 591-611.

• Cheng T. and Wang J. 2009. Accommodating spatial associations in DRNN for space–time analysis. Computer, Environmental, and Urban System. 33: 409-418.

• Cheng T., Wang J., and Li X., 2011b. A hybrid framework for space-time modelling of environmental data. Geographical Analysis, in press.

• Longley PA, 2005. A renaissance of geodemographics for public service delivery. Progress in Human Geography, 29: 57-63

• Shawe-Taylor J. and Cristianini N. 2000. An Introduction to Support Vector Machines.

• Shawe-Taylor J. and Cristianini N. 2004. Kernel Methods for Pattern Analysis.

• Wang J., Cheng T. and Haworth J. 2010. Space-time kernels. Proceedings of the Joint Int. Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science. 57-62.