CV

Patrick studied in Geography at the University of Zurich, Switzerland, specializing in geographical information science, remote sensing, and physical geography. His Ph.D. thesis covered the analysis of movement data, presenting a novel approach for spatio-temporal data mining basing on movement pattern detection and visualization. Patrick worked as a research fellow at the Spatial Analysis Facility at the University of Auckland, New Zealand, and as a visiting scholar at the GeoVISTA Center at Penn State University, PA, USA. Most recently, Patrick researched and taught with Matt Duckham at the Geomatics Department, The University of Melbourne, Australia.

Research Interests

Patrick’s overarching research interest is the processing of spatio-temporal information aiming at a better understanding of the dynamics in natural and built environments. Patrick has worked on the formalization and detection of generic movement patterns (such as flock, trendsetter, leadership). In his most recent work, Patrick has investigated movement patterns in dynamic geosensor networks and has developed concepts and algorithms for decentralized spatial computing.

Publications

1. Edited volumes | 2. Peer-reviewed articles | 3. Reviews | 4. Monographs | 5. Book contributions | 6. Other publications

1. Edited volumes

• Laube, P., Duckham, M., and Croitoru, A. (2009). Distributed and mobile spatial computing. Computers, Environement and urban Systems, 33(2), 77-78.
  doi:10.1016/j.compenvurbsys.2009.01.008, [pre-version], [authoritative version].

2. Peer-reviewed articles (original publications)

• Laube, P., Duckham, M., and Wolle, T. (2008). Decentralised Movement Pattern Detection Among Mobile Geosensor Nodes. In Cova, T. J, Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F., eds., Geographic Information Science, GIScience 2008, Lecture Notes in Computer Science, 5266, 132-144. Springer, Heidelberg.
  doi: 10.1007/978-3-540-87473-7_13, [pre-version], [authoritative version].
• Andersson, M., Gudmundsson, J., Laube, P., and Wolle, T., (2008). Reporting leaders and followers among trajectories of moving point objects. GeoInformatica 12(4), 497-528.
  doi: 10.3233/978-1-60750-048-3-43, [pre-version], [authoritative version].
• Laube, P., de Berg, M, and van Kreveld, M (2008). Spatial Support and Spatial Confidence for Spatial Association Rule Mining. In Ruas, A. and Gold, C., eds. Headway in Spatial Data Handling, 13th Int. Symp. on Spatial Data Handling, Lecture Notes in Geoinformation and Cartography, 575-593, Springer, Heidelberg.
  doi: 10.1007/978-3-540-68566-1_33, [pre-version], [authoritative version].
• Laube, P., Dennis, T., Forer, P., and Walker, M. (2007). Movement Beyond the Snapshot - Dynamic Analysis of Geospatial Lifelines. Computers, Environment and Urban Systems, 31(5), 481-501.
  doi: 10.1016/j.compenvurbsys.2007.08.002, [pre-version], [authoritative version].
• Laube, P., and Purves, R. S. (2006). An approach to evaluating motion pattern detection techniques in spatio-temporal data. Computers, Environment and Urban Systems, 30(3), 347-374.
  doi:10.1016/j.compenvurbsys.2005.09.001, [pre-version], [authoritative version].
• Laube, P., Imfeld, S., and Weibel, R. (2005). Discovering relative motion patterns in groups of moving point objects. Int. J. Geographical Information Science, 19(6), 639-668.
  doi:10.1080/13658810500105572, [pre-version], [authoritative version].
• Laube, P., van Kreveld, M., and Imfeld, S. (2004). Finding REMO - detecting relative motion patterns in geospatial lifelines. In Fisher, P. F., ed., Developments in Spatial Data Handling, Proceedings of the 11th International Symposium on Spatial Data Handling, 201-214. Springer, Heidelberg.
  doi:10.1007/b138045, [pre-version], [authoritative version].
• Laube, P. and Imfeld, S. (2002). Analyzing relative motion within groups of trackable moving point objects. In Egenhofer, M. J. and Mark, D. M., eds., Geographic Information Science, GIScience 2002, Lecture Notes in Computer Science, 2478, 132-144, Springer, Heidelberg.
  doi:10.1007/3-540-45799-2, [pre-version], [authoritative version].

3. Reviews

• Laube, P. , Purves, R. S., Imfeld, S., and Weibel, R. (2006). Analysing Point Motion with Geographic Knowledge Discovery Techniques. In Drummond, J., Billen, R., Forrest, D., and João, E., eds., Dynamic & Mobile GIS: Investigating Change in Space and Time, 201-214. CRC Press, London.
• Laube, P. (2001). A classification of analysis methods for dynamic point objects in environmental GIS. In Konecny, M., ed., GI in Europe: Integrative, Interoperable, Interactive, Proc. of the 4th AGILE Conference, Brno, Czech Republic, 19th – 21st April, 2001, 121-134.

4. Monographs

• Laube, P. (2005). Analysing point motion – Spatio-temporal data mining of geospatial lifelines, PhD Dissertation, Department of Geography, University of Zurich, Switzerland. 238 pages.
  [download].
• Laube, P. and Rossé, F. (2002). Anthropogeografie: Kulturen, Bevölkerung und Städte. Ein Geografie-Lehrmittel für Mittelschulen und das Selbststudium, 268 pages, ISBN 3-7155-9024-6, Compendio Bildungsmedien AG, Zurich.
  252 Seiten, A4 broschiert, 3., überarbeitete Auflage 2009, ISBN 978-3-7155-9366-1, [authoritative version].
• Danielli, G., Backhaus, N., and Laube, P. (2002). Wirtschaftsgeografie und globalisierter Lebensraum. Ein Geografie-Lehrmittel für Mittelschulen und das Selbststudium, 304 pages, ISBN 3-7155-9025-4, Compendio Bildungsmedien AG, Zurich.
  300 Seiten, A4 broschiert, 3., überarbeitete Auflage 2009, ISBN 978-3-7155-9367-8, [authoritative version].
• Laube, P. (1999). Data Capture and Data Integration Solutions for Wildlife Science in the Swiss National Park [in German]. Masters thesis, Department of Geography, University of Zurich, Switzerland.
  [download].

5. Book contributions

• Laube, P. (2009). Progress in Movement Pattern Analysis. In Gottfried, B. and Aghajan, H., Eds., Behaviour Monitoring and Interpretation - Ambient Assisted Living, 43-71, IOS Press.
  doi: 10.3233/978-1-60750-048-3-43, [authoritative version]
• Laube, P. , Duckham, M., Worboys, M, and Joyce, T. (in press). Decentralized Spatial Computing in Urban Environments. In Jiang, B. ed., Geospatial analysis and modeling of urban structure and dynamics, Springer, Berlin-Heidelberg.
• Laube, P. and Duckham, M. (2009). Decentralised spatial data mining for geosensor networks. In Miller, H.J., Han, J., Eds., Geographic Data Mining and Knowledge Discovery, 2nd, 409-430, CRC Press, London.
• Gudmundsson, J., Laube, P. , Wolle, T. (2008). Movement Patterns in Spatio-Temporal Data. In Shekhar, S., Xiong, H., editors, Encyclopedia of GIS, Springer, Heidelberg.

6. Other publications

• Schmid, F., Richter, K.-F., Laube, P. (2009). Semantic Trajectory Compression. In N. Mamoulis, T. Seidl, T.B. Pedersen, K Torp, I. Assent (Eds.), Advances in Spatial and Temporal Databases - 11th International Symposium, SSTD 2009, Lecture Notes in Computer Science, 5644. 411-416, Springer, Heidelberg.
  doi:10.1007/978-3-642-02982-0_30, [pre-version], [authoritative version].
• Andersson, M., Gudmundsson, J., Laube, P. , and Wolle, T. (2007). Reporting Leadership patterns among trajectories. The 22nd Annual ACM Symposium on Applied Computing. 11th - 15th March, Seoul, Korea.
• Laube, P. and Dennis, T. (2006). Exploratory Analysis of Movement Trajectories. GeoCart 2006, National Cartographic Conference, 4th – 6th September, 2006, Auckland, NZ.
• Laube, P., and Ross S. Purves (2005). Evaluation of a Geographic Knowledge Discovery approach using Random Walk Models. In Billen, R., Drummond, J., Forrest, D., and João, E. editors, Proceedings of the GIS Research UK: GISRUK 2005, 130-135, University of Glasgow.