Roger Bivand has been a professor since 1996, after joining the Norwegian School of Economics in 1988 from previous academic positions in Bodø, Norway, and in Poznań, Poland.
He received his PhD degree in geography from the London School of Economics in 1975, after undergraduate study in Geography at the University of Cambridge. He holds a post-doctoral degree (dr habil.) in geography from Adam Mickiewicz University, Poznań, Poland (1982). He first visited the Norwegian School of Economics as a student doing fieldwork in 1970, work which continued in his PhD thesis on regional economic development in Norway.
His current research interests are in developing and supporting the development of open source software for analysing spatial data, including spatial econometrics; his software (written with collaborators) has diffused to many organisations, including FAO (statistical yearbook production).
He has been active in the R community since 1997, and is now an auditor of the R Foundation. He is an editor of the Journal of Statistical Software, the R Journal, Journal of Geographical Systems, Geographical Analysis and Norsk Geografisk Tidsskrift. He is often invited to teach external PhD courses in applied spatial data analysis.
|Bivand, Roger, Piras, Gianfranco||Comparing implementations of estimation methods for spatial econometrics||Journal of Statistical Software Volume 63 (18), page 1 - 36, 2015|
|Bivand, Roger, Gómez-Rubio, Virgilio, Rue, Håvard||Approximate Bayesian inference for spatial econometrics models||Spatial Statistics Volume 9, page 146 - 165, 2014|
|Bivand, Roger, Pebesma, Edzer, Gómez-Rubio, Virgilio||Applied Spatial Data Analysis with R||Springer Science+Business Media B.V., 2013|
|Bivand, Roger, Hauke, Jan, Kossowski, Tomasz||Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods||Geographical Analysis Volume 45 (2), page 150 - 179, 2013|
|Bivand, Roger, Sha, Zhe, Osland, Liv Aileen, Thorsen, Ingrid Sandvig||A comparison of estimation methods for multilevel models of spatially structured data||Spatial Statistics Volume 21, page 440 - 459, 2017|
|Bivand, Roger, Wilk, Justyna, Kossowski, Tomasz||Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count tests||Spatial Statistics Volume 21 (B), page 339 - 361, 2017|
|Bivand, Roger||Revisiting the Boston data set. Changing the units of observation affects estimated willingness to pay for clean air.||REGION Volume 4 (1), page 109 - 127, 2017|
|Pebesma, Edzer, Bivand, Roger, Ribeiro, Paulo Justiano||Software for Spatial Statistics||Journal of Statistical Software Volume 63 (1), page 1 - 8, 2015|
Economic Geography, Spatial Data Analysis, Geographical Information Systems, Spatial Econometrics