Crespo, Ricardo Anibal, Dr.

ETH Zürich
Dr. Ricardo Anibal Crespo
Inst. f. Raum- u. Landschaftsentwicklung
HIL H31.2
Wolfgang-Pauli-Str. 15
8093 Zürich

Phone: +41 44 633 29 84
E-Mail: 

Professional Education

• 2009 PhD in Science with specialization in Geocomputation, National University of Ireland, Maynooth (scholarship through Science Foundation Ireland).
• 2004 MSc in International Agriculture, University of Goettingen, Germany (scholarship through the German Academic Exchange Service (DAAD))
• 2000 Industrial civil Engineer, University of Chile, Santiago, Chile. (maximum distinction)

Research interests

• Spatial econometric and spatial statistic methods applied to urban modeling.
• Geographically weighted regression.
• GIS methods applied to multiatribute and multiobjective decision making processes.

Teaching experience

Teaching assistance: Quantitative methods in Landscape and Environmental, autumn semester 2009, 2010 and 2011, Swiss Federal Institute of Technology Zurich.

• Supervision students case-study projects
• Tutorials and lab sessions on the use of the statistical software R in spatial planning.

Lecturer: Introduction to the data analysis software R, autumn semester 2011.

Publications

• 2012 Grêt-Regamey, A., Crespo, R. Realizing transition pathways to provide required ecosystem services – an inverse approach, in the proceedings of the International Congress on Environmental Modeling and Software (iEMSs).
• 2011 Crespo, R, Grêt-Regamey, A. Local Hedonic House Price Modeling for Urban Planners: Advantages of using local regression techniques, Environmental and Planning B (in review).
• 2011 Crespo, R, Grêt-Regamey, A. Planning from a future vision: inverse modeling in spatial planning, Applied Geography, 34, 47-56.
• 2011 Grêt-Regamey, A., Crespo, R. Spatially explicit inverse modeling for urban planning, Applied Geography 34:47-56, Environmental and Planning B, 38,979-994
• 2010 Harris, P., Fotheringham, S., Crespo, R. and Charlton, M. Geographically weighted regression and kriging: two approaches to spatial interpolation, Mathematical Geosciences, 42, 657-680
• 2008 Demšar, U., Fotheringham,S., Charlton. M and Crespo, R. Combining Geographically Weighted Regression and Geovisual Analytics to investigate temporal variations in house price determinants across London in the period 1980-1998. In the proceedings of the AGILE conference, Girona, Spain, May 5.
• 2007 Crespo, R., Fotheringham, S. and Charlton, M. Application of Geographically Weighted Regression to a 19-year set of house price data in London to calibrate local hedonic price models. In the proceedings of the 9-th Geocomputation conference, Maynooth, Ireland, September 3-5.
• 2006 Fotheringham S., Charlton,M. and Crespo, R. Geographically Weighted Regression and Kriging: A Comparison of Two Approaches of Data Interpolation. In the proceedings of the GSDI-9 conference, Santiago, Chile, November 6-10.