Dr. Patrick Laube

Dr. Patrick Laube

Dr. Patrick Laube
ZHAW Life Sciences und Facility Management
Grüental
8820 Wädenswil

+41 (0) 58 934 55 71
patrick.laube@zhaw.ch

Persönliches Profil

Leitungsfunktion

  • Leitung Forschungsgruppe Geoinformatik

Tätigkeit an der ZHAW als

Dozent

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

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

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

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

Projekte

Projektleitung

Mitarbeit an folgenden Projekten

Publikationen

Monographien und Herausgeberschaften

; ().

Anthropogeografie: Kulturen, Bevölkerung und Städte

.

(4. Aufl.) Zürich: Compendio Bildungsmedien.

().

Computational Movement Analysis

.

In: Springer Briefs in Computer Science. Berlin Heidelberg: Springer.

; ; ; ().

Wirtschaftsgeografie und globalisierter Lebensraum

.

(4. Aufl.) Zürich: Compendio Bildungsmedien.

Beiträge, peer-reviewed

; ; ; ; ().

Mining candidate causal relationships in movement data

.

International Journal of Geographical Information Science, 28, 2. 363-382. Peer reviewed.

; ().

Scale Effects in Relating Movement to Geographic Context

.

In: Matt Duckham; Edser Pebesma; Kathleen Stewart; Andrew Frank (Hg.). Proceedings of the 8th International Conference on Geographic Information Science. (51-56). Vienna, AT: -. Peer reviewed.

; ; ; ; ().

Decentralized monitoring of moving objects in a transportation network augmented with checkpoints

.

The Computer Journal, 56, 12. 1432-1449. Peer reviewed.

; ; ; ().

The Basic Formal Ontology as a reference framework for modeling the evolution of administrative units

.

Transactions in GIS, 17, 2. 206-226. Peer reviewed.

Beiträge, nicht peer-reviewed

; ; ().

Budget Remote Phenotyping – Potential and limitations of consumer-grade NIRGB and Red Edge cameras for early detection of plant leaf diseases

: Poster.

In: 2nd general meeting COST Action FA1306. Conference. (18. April 2016). Copenhagen: FA1306.

; ().

Food production in smallholder farming systems

: Developing a spatially explicit decision-model for trade opportunities.

In: Tackling World Food System Challenges: Across Disciplines, Sectors, and Scales. Konferenz. (22.06.2015). Monte Veritá, Ascona: World Food System Cente, ETHZ .

; ; ; ; ().

Innovative Fernerkundungslösungen im Umweltmonitoring

.

Transfer, 1.

; ; ().

Unlocking the potential of raster-based land use scenarios: a ‘Field to Entity’ approach for realistic scenario visualization.

.

In: Silvia Tobias; Marcel Hunziker (Hg.). Junge Landschaftsforschung 2015. Birmensdorf: Zentrum Landschaft WSL.

; ; ; ().

Multi-criteria aggregation for sensistive parcel-based census data

.

8th International Conference on Geographic Information Science

().

Computational Movement Analysis - My take on GIScience's contribution to a better understanding of movement processes

: Invited talk.

In: Interaction and Collective Movement Processing. Dagstuhl Seminar Nr. 14132. (23. - 28. März). Schloss Dagstuhl, DE: Leibniz-Zentrum für Informatik.

; ; ; ().

Moving beyond the point: An agenda for research in movement analysis with real data

.

Computers, Environment and Urban Systems, 47 1-68.

().

The low hanging fruit is gone – Achievements and Challenges of Computational Movement Analysis

: Keynote.

In: Analysis of Movement Data, GIScience Workshop 2014. (23. Sept 2014). Vienna, AT: GIScience 2014.

().

CMA - A methodological toolbox illustrated for the analysis of animal movement

: Invited talk.

In: Mobility, Segregation and Neighbourhood change. Seminar. (14. März). Tartu, Estonia: University of Tartu.

().

Introducing Computational Movement Analysis

: Talk.

In: AAG Annual Meeting. Int. Conference. (11. April). Los Angeles, CA: American Association of Geographers.

; ; ().

Raumzeitliches Data Mining – ein Werkzeug zur Analyse von Fischbewegungen im Murray River

.

Geomatik Schweiz, 111, 5. 247-249.

Publikationen vor Tätigkeit an der ZHAW

EDITED VOLUMES

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

PEER-REVIEWED ORIGINAL ARTICLES

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.


REVIEW ARTICLES

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.


BOOK CONTRIBUTIONS

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.


OTHER PUBLICATIONS

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.


MONOGRAPHS

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.


TEXTBOOKS

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.
www.compendio.ch/Bildungsmedien/

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.
www.compendio.ch/Bildungsmedien/


E-LEARNING CONTENT

Eignungsanalysen, 2003. e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.
gitta.info/Suitability/de/html/index.html

Multi-objective analysis, 2004, e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.
www.gitta.info/Suitabilityi/en/html/unit_MOAnalysis.html

Fuzzy overlay, 2004. e-Learning module, Geographic Information Technology Training Alliance (GITTA), A Swiss Virtual Campus Project, U Zurich.
www.gitta.info/Suitabilityi/en/html/unit_fuzzy.html