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Prof. Dr. Patrick Laube

Prof. Dr. Patrick Laube

Prof. Dr. Patrick Laube

ZHAW Life Sciences und Facility Management
Institut für Umwelt und Natürliche Ressourcen
Grüentalstrasse 14
8820 Wädenswil

+41 (0) 58 934 55 71

Arbeit an der ZHAW


Leitung Forschungsgruppe Geoinformatik

Tätigkeit an der ZHAW

Dozent für Geoinformatik im BSc Umweltingenieurwesen und im MSc Umwelt und Natürliche Ressourcen

Aus- und Weiterbildung

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Geoinformatik, GIS, raumzeitliche Datenbanken, Bewegungsanalyse, Bewegungsmuster, Informationsvisualisierung

Beruflicher Werdegang

seit 2014 Leiter Forschungsgruppe Geoinformatik, IUNR, ZHAW
2009-2013 Oberassistent, Geographische Informationssysteme, Universität Zürich
2007-2009 Post-doc, Geomatics, Universität Melbourne, AUS
2006 Post-doc, Penn State Universität PSU, USA
2005-2006 Post-doc, Inst. für Geographie und Umweltwissenschaften, Universität Auckland, NZ
1999-2002 Redaktor Geographie, Compendio Bildungsmedien AG, Zürich

Aus- und Fortbildung

2014 Venia Legendi, Geographie, insbesondere Geographische Informationswissenschaft, MNF, Universität Zürich
2005 Dr. sc. nat, Universität Zürich
1999 dipl. geogr., Universität Zürich

2015 CAS Hochschuldidaktik, Pädagogische Hochschule Zürich PHZH



Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Bücher und Monographien, peer-reviewed
Buchbeiträge, peer-reviewed
Konferenzbeiträge, peer-reviewed
Weitere Publikationen
Mündliche Konferenzbeiträge und Abstracts

Publikationen vor Tätigkeit an der ZHAW


Laube, P., Duckham, M., and Croitoru, A. (2009). Distributed and mobile spatial computing. Editorial, Computers, Environment and Urban Systems, 33(2), 77-78.


Bleisch, S., Duckham, M., Galton, A., Laube, P., Lyon, J. (2014). Mining candidate causal relationships in movement data. Int. J. Geographical Information Science, 28(2), 363-382.

Both, A., Duckham, M., Laube, P., Wark, T., and Yeoman, J. (2013). Decentralized monitoring of moving objects in a transportation network augmented with checkpoints. The Computer Journal, 56(12), 1432-1449.

Gantner, F. Waldvogel, B., Meile, R., and Laube, P. (2013). The Basic Formal Ontology as a reference framework for modeling the evolution of administrative units, Transaction in GIS, 17(2), 206-226.

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.

Richter, K.-F., Schmid, F, and Laube, P. (2012). Semantic Trajectory Compression, JOSIS. 4, 3-30.

Laube, P., Purves, R. (2011). How fast is a cow? Cross-scale Analysis of Movement Data, Transactions in GIS. 15(3), 401-418.

Laube, P., Duckham, M., Palaniswami, M. (2011). Deferred Decentralized Movement Pattern Mining for Geosensor Networks, Int. J. Geographical Information Science. 25(2), 273-292.

Dennis, T.E., Chen, W.C., Koefoed, I.M., Lacoursiere, C.J., Walker, M.M., Laube, P. and Forer, P., 2010, Performance characteristics of small global-positioning-system tracking collars for terrestrial animals. Wildlife Biology in Practice, 6(1), 14-31.

Laube, P., Duckham, M., and Wolle, T. (2008). Decentralised Movement Pattern Detection Among Mobil 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.

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.

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.

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.

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.

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.

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.

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.


Laube, P., Gottfried B., Klippel, A., Billen, R., Van de Weghe, N. (2011). Report on the first workshop on Movement Pattern Analysis MPA10. JOSIS 2, doi:10.5311/JOSIS.2011.2.8.

Laube, P. (2011). Raumzeitliches Data Mining. In Geoinformationssysteme, Beiträge zum 16. Münchner Fortbildungsseminar. In Schilcher, M. (Ed.), abcverlag, Heidelberg, ISBN: 978-3-938833-55-1, 50-62.

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.


Gudmundsson, J., Laube, P., Wolle, T. (2012). Computational Movement Analysis. In Kresse, W., Danko, D. M., Eds., Springer Handbook of Geographic Information, Springer, Heidelberg, 725-741.

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, Heidelberg.

Laube, P. (2009). Progress in Movement Pattern Analysis. In Gottfried, B. and Aghajan, H., Eds., Behaviour Monitoring and Interpretation - Ambient Assisted Living, Ambient Intelligence and Smart Environments, Vol. 3, 43-71, IOS Press.

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.


Bleisch, S. and Laube, P., and Duckham, M. 2013. Raumzeitliches Data Mining – ein Werkzeug zur Analyse von Fischbewegungen im Murray River. Geomatik Schweiz, 111(5), 247-249.

Merki, M. and Laube, P., 2012. Detecting reaction movement patterns in trajectory data. In: Gensel, J., Josselin, D. and Vandenbroucke, D. eds. AGILE'2012 International Conference on Geographic Information Science. Avignon, FR.

C. Gschwend and Laube, P. (2012). Challenges of Context-Aware Movement Analysis - Lessons Learned about Crucial Data Requirements and Pre-Processing. In Proceedings of the 20th GIS Research UK Annual Conference, GISRUK12, Lancaster University, April 11-13, 2012, Lancaster, UK.

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.

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.

Dodge, S., Weibel, R., and Laube, P. (2009). Exploring movement - similarity analysis of moving objects. SIGSPATIAL Special 1, 3 (Nov. 2009), 11-16.

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.

Imfeld, S., Haller, R. and Laube, P. (2006). Positional Accuracy of Biological Research Data in GIS – A Case Study in the Swiss National Park. The Seventh International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5th – 7th July, 2006, Lisbon, Portugal.

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.


Laube, P. (2005). Analysing point motion – Spatio-temporal data mining of geospatial lifelines, PhD Dissertation, Department of Geography, The University of Zurich, Switzerland. 238 pages.

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.


Laube, P. and Rossé, F. (2014). Anthropogeografie: Kulturen, Bevölkerung und Städte [in German], 224 pages, 4rd Edition, ISBN 978-3-7155-9732-4, Compendio Bildungsmedien AG, Zurich.

Danielli, G., Backhaus, N., Andrea Grigoleit, and Laube, P. (2014). Wirtschaftsgeografie und globalisierter Lebensraum [in German], 272 pages, 4rd edition, ISBN 978-3-7155-9634-1, Compendio Bildungsmedien AG, Zurich.


Eignungsanalysen, 2003. e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.

Multi-objective analysis, 2004, e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.

Fuzzy overlay, 2004. e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.