CV

Patrick graduated in Geography from the University of Zurich, Switzerland, specializing in geographical information science, remote sensing, and physical geography. Patrick worked at the Spatial Analysis Facility at the University of Auckland, New Zealand (2005-2006), at the GeoVISTA Center at Penn State University, PA, USA (2006), and at the Geomatics Department, The University of Melbourne, Australia (2007-2009). Since mid 2009 he is back in Zurich, where he holds a research and teaching position and leads the GIS division's Environmental Geoinformatics group.

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 is working on the fundamentials of Computational Movement Analysis. He has worked on the formalization and detection of generic movement patterns (such as flock, trendsetter, leadfership). Patrick has furthermore investigated movement patterns in dynamic geosensor networks and has developed concepts and algorithms for decentralized spatial computing. Research in the Environmental Geoinformatics group addresses Context-Aware Movement Analysis and Ecosystem Services.

Environmental Geoinformatics Group

Environmental applications of GIS have a long history and form a key focus of the GIS unit. Protected areas form an important interface between society and nature, and therefore offer interesting opportunities for environmental education and awareness building among the general public. We have been involved in planning and implementing GIS strategies and facilities for several protected areas, such as the Swiss National Park and Naturlandschaft Sihlwald. Current research explores the development of analysis techniques for movement data and ecosystem services provided by protected areas.

Current research projects:

• Context-aware movement analysis [CAMA], PhD Christian Gschwend [personal website]
• Participatory Mapping of Ecosystem Service Potentials [PARMESAN], PhD Beni Rohrbach [personal website]

Related research projects:

• Context-aware simulation of trajectories of moving objects [CASIMO], PhD George Technitis [personal website]
• Use of Machine Learning in the Analysis of Tracking Data [Link], PhD Ali Soleymani [personal website]

Teaching

Patrick is teaching on undergraduate, graduate, and post-graduate levels. Currently, he is involved in the following classes:

• Geo123: BSc-Module Geoinformation 101 [website], [U Zurich database].
• Geo243: BSc-Module Introduction into spatial analysis with GIS [website], [U Zurich database].
• Geo451: MSc-Module Spatial Databases [website], [U Zurich database].
• Geo410: MSc-Module Thinking Geographically [U Zurich database].

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)

• Both, A., Duckham, M., Laube, P., Wark, T., and Yeoman, J. (2012, online first). Decentralized monitoring of moving objects in a transportation network augmented with checkpoints, The Computer Journal.
  doi: DOI: 10.1080/13658816.2011.630003, [authoritative version].
• Gantner, F. Waldvogel, B., Meile, R., and Laube, P. (2012, in press). The Basic Formal Ontology as a reference framework for modeling the evolution of administrative units, Transaction in GIS..
• Richter, K.-F., Schmid, F., and Laube, P. (2012). Semantic Trajectory Compression, JOSIS 4, 3-30.
  doi: DOI: 10.1080/13658816.2011.630003, [download].
• Dodge, S.,Laube, P., and Weibel, R. (2012). Movement similarity assessment using symbolic representation of trajectories, Int. J. Geographical Information Science 26(9), 1563-1588.
  doi: DOI: 10.1080/13658816.2011.630003, [authoritative version].
• Laube, P., Purves, R. (2011). How fast is a cow? Cross-scale Analysis of Movement Data, Transaction in GIS. 15(3), 401-418.
  doi: DOI: 10.1111/j.1467-9671.2011.01256.x, [authoritative version].
• Laube, P., Duckham, M., Palaniswami, M. (2011). Deferred Decentralized Movement Pattern Mining for Geosensor Networks, Int. J. Geographical Information Science. 25(2), 273-292.
  doi: 10.1080/13658810903296630, [authoritative version].
• 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. (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

• Gudmundsson, J., Laube, P., and Wolle, T. (2012). Computational Movement Analysis. In Kresse, W. and Danko, D. ed., Springer Handbook of Geographic Information, 725-741, Springer, Berlin-Heidelberg.
  ISBN: ISBN 978-3-540-72678-4, [pre-version], [authoritative version]
• Laube, P. , Duckham, M., Worboys, M, and Joyce, T. (2010). Decentralized Spatial Computing in Urban Environments. In Jiang, B. ed., Geospatial analysis and modeling of urban structure and dynamics, 53-74, Springer, Berlin-Heidelberg.
  doi: 10.1007/978-90-481-8572-6_4, [pre-version], [authoritative version]
• 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. 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

• Laube, P. , Gottfried B., Klippel, A., Billen, R., Van de Weghe, N. (2011). Report on the first workshop on Movement Pattern Analysis MPA10. JOSIS No 2, doi:10.5311/JOSIS.2011.2.8
  doi: DOI: doi:10.5311/JOSIS.2011.2.8 [authoritative version].
• Laube, P. (2011). Raumzeitliches Data Mining. In Geoinformationssysteme, Beiträge zum 16. Münchner Frotbildungsseminar Schilcher, M. (Ed.), abcverlag, Heidelberg, ISBN: 978-3-938833-55-1, pp. 50-62.
  [download]
• Laube, P. and Purves, R. (2010). Cross-scale Movement Trajectory Analysis. In GIS Research UK 18th Annual Conference, M. Haklay, J. Morley and H. Rahemtulla (Eds.), pp. 103-107.
  [download]
• 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.