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University of Bergen
Roger Bivand's picture

Roger Bivand

Guest Researcher
Department of Geography
  • E-mailroger.bivand@uib.no
  • Visitor Address
    Fosswinckels gate 6
    Lauritz Meltzers hus
    5007 Bergen
  • Postal Address
    Postboks 7802
    5020 Bergen
Selected publications
  • Bivand, Roger; Piras, Gianfranco. 2015. Comparing implementations of estimation methods for spatial econometrics. Journal of Statistical Software. 63: 1-36. doi: 10.18637/jss.v063.i18
  • Bivand, Roger; Gómez-Rubio, Virgilio; Rue, Håvard. 2014. Approximate Bayesian inference for spatial econometrics models. Spatial Statistics. 9: 146-165. doi: 10.1016/j.spasta.2014.01.002
  • Bivand, Roger; Pebesma, Edzer; Gómez-Rubio, Virgilio. 2013. Applied Spatial Data Analysis with R. Springer Science+Business Media B.V.. 405 pages. ISBN: 978-1-4614-7617-7.
  • Bivand, Roger; Hauke, Jan; Kossowski, Tomasz. 2013. Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods. Geographical Analysis. 45: 150-179. doi: 10.1111/gean.12008
Academic article
  • Show author(s) (2023). Bayesian Inference for Multivariate Spatial Models with INLA. The R Journal. 172-190.
  • Show author(s) (2022). R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data. Geographical Analysis. 488-518.
  • Show author(s) (2021). Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation. Mathematics. 23 pages.
  • Show author(s) (2021). A Review of Software for Spatial Econometrics in R . Mathematics. 40 pages.
  • Show author(s) (2020). The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces. Journal of Archaeological Science. 9 pages.
  • Show author(s) (2020). Spatial survival modelling of business re-opening after Katrina: Survival modelling compared to spatial probit modelling of re-opening within 3, 6 or 12 months. Statistical Modelling. 137-160.
  • Show author(s) (2020). Progress in the R ecosystem for representing and handling spatial data. Journal of Geographical Systems. 515-546.
  • Show author(s) (2020). Bayesian Model Averaging with the Integrated Nested Laplace Approximation. Econometrics.
  • Show author(s) (2018). Comparing implementations of global and local indicators of spatial association. Test (Madrid). 716-748.
  • Show author(s) (2018). Big data sampling and spatial analysis: ‘‘which of the two ladles, of fig-wood or gold, is appropriate to the soup and the pot?’’. Statistics and Probability Letters. 87-91.
  • Show author(s) (2017). Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count tests. Spatial Statistics. 339-361.
  • Show author(s) (2017). Revisiting the Boston data set. Changing the units of observation affects estimated willingness to pay for clean air. REGION: The Journal of ERSA. 109-127.
  • Show author(s) (2017). A comparison of estimation methods for multilevel models of spatially structured data. Spatial Statistics. 440-459.
  • Show author(s) (2015). Spatial diffusion and spatial statistics: revisting Hägerstrand’s study of innovation diffusion. Procedia Environmental Sciences. 106-111.
  • Show author(s) (2015). Spatial Data Analysis with R-INLA with Some Extensions. Journal of Statistical Software. 1-31.
  • Show author(s) (2015). Software for Spatial Statistics. Journal of Statistical Software. 1-8.
  • Show author(s) (2015). Implementing approximations to extreme eigenvalues and eigenvalues of irregular surface partitionings for use in SAR and CAR models. Procedia Environmental Sciences. 120-123.
  • Show author(s) (2015). Comparing implementations of estimation methods for spatial econometrics. Journal of Statistical Software. 1-36.
  • Show author(s) (2015). A new latent class to fit spatial econometrics models with Integrated Nested Laplace Approximations. Procedia Environmental Sciences. 116-118.
  • Show author(s) (2014). Approximate Bayesian inference for spatial econometrics models. Spatial Statistics. 146-165.
  • Show author(s) (2013). Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods. Geographical Analysis. 150-179.
  • Show author(s) (2012). The R Software Environment in Reproducible Geoscientific Research. EOS.
  • Show author(s) (2012). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence. International Journal of Foresight and Innovation Policy. 189-209.
  • Show author(s) (2012). After "Raising the Bar'': applied maximum likelihood estimation of families of models in spatial econometrics. Estadística Española. 71-88.
  • Show author(s) (2009). Power calculations for global and local Moran's l. Computational Statistics & Data Analysis. 2859-2872.
  • Show author(s) (2009). Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China. Transactions of the Royal Society of Tropical Medicine and Hygiene. 1045-1052.
  • Show author(s) (2009). Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China. Parasitology. 737-746.
  • Show author(s) (2009). Applying Measures of Spatial Autocorrelation: Computation and Simulation. Geographical Analysis. 375-384.
  • Show author(s) (2008). Implementing representations of space in economic geography. Journal of Regional Science. 1-27.
  • Show author(s) (2007). Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography. 609-628.
  • Show author(s) (2006). Regional growth in Western Europe: detecting spatial misspecification using the R environment. Papers in Regional Science. 277-297.
  • Show author(s) (2006). Implementing spatial data analysis software tools in R. Geographical Analysis. 23-40.
  • Show author(s) (2005). Interfacing GRASS 6 and R: Status and development directions. ?. 11-16.
  • Show author(s) (2004). Spatial data analysis: Theory and practice. International Journal of Geographical Information Science (IJGIS). 300.
  • Show author(s) (2002). Spatial econometrics functions in R:Classes and methods. Journal of Geographical Systems. 405-421.
  • Show author(s) (2001). More on Spatial Data. R News. 13-17.
  • Show author(s) (2000). Using the R statistical data analysis language on GRASS 5.0 GIS data base files. ?. 1043-1052.
  • Show author(s) (2000). Modelling the spatial impact of the introduction of compulsory competitive tendering. Regional Science and Urban Economics. 203-219.
  • Show author(s) (2000). Investigating the effect of clustering of the urban field on sustainable population growth of centrally located and peripheral towns. International Journal of Population Geography. 133-154.
  • Show author(s) (2000). Implementing functions for spatial statistical analysis using the R language. Journal of Geographical Systems. 307-317.
  • Show author(s) (1999). Dynamic externalities and regional manufacturing development in Poland. ?. 347-362.
  • Show author(s) (1998). Software and software design issues in the exploration of local dependence. ?. 499-508.
  • Show author(s) (1997). Spatial dependence through local yardstick competition: theory and testing. Economics Letters. 257-265.
  • Show author(s) (1997). From populist vote to the post-Communist victory in Poland: Regional differences. European Urban and Regional Studies. 76-84.
Academic lecture
  • Show author(s) (2023). The use of R for spatial econometrics.
  • Show author(s) (2023). Progress in modernizing and replacing infrastructure packages in R-spatial workflows.
  • Show author(s) (2023). Modernizing R-spatial: Changes in OSGeo FOSS Libraries and the Evolving R-Spatial Package Ecosystem.
  • Show author(s) (2023). How the R-spatial evolution project affects spatial econometrics workflows.
  • Show author(s) (2023). Coordinate reference systems.
  • Show author(s) (2023). Class intervals for thematic mapping: implementations in R.
  • Show author(s) (2022). Modernizing the R-GRASS interface: confronting barn-raised OSGeo libraries and the evolving R.*spatial package ecosystem.
  • Show author(s) (2020). How R Helped Provide Tools for Spatial Data Analysis.
  • Show author(s) (2020). Applied Spatial Data Analysis with R: retrospect and prospect.
  • Show author(s) (2019). Spatial modelling, spatial weights, spatial regression.
  • Show author(s) (2019). R&Py Spatial Analysis Workshop.
  • Show author(s) (2019). R and GIS, or R as GIS: handling and analyzing spatial data.
  • Show author(s) (2019). Progress in the R ecosystem for open source spatial analysis software (UW).
  • Show author(s) (2019). Progress in the R ecosystem for open source spatial analysis software (ETHZ).
  • Show author(s) (2019). Progress in the R ecosystem for open source spatial analysis software.
  • Show author(s) (2019). Not just R-spatial: sustaining open source geospatial software stacks.
  • Show author(s) (2019). Business re-opening after Katrina: survival modelling compared to modelling re-opening within 3, 6 or 12 months with spatial extensions.
  • Show author(s) (2018). Workshop: spatial data analysis.
  • Show author(s) (2018). Spatial econometrics meets data science.
  • Show author(s) (2018). Analizy społeczno-ekonomiczne danych geograficznych z wykorzystaniem R (kurs dla średnio zaawansowanych).
  • Show author(s) (2018). Analizy społeczno-ekonomiczne danych geografcznych z wykorzystaniem R (kurs dla początkujących).
  • Show author(s) (2018). A practical history of R-sig-geo (where things came from).
  • Show author(s) (2018). A practical history of R (where things came from).
  • Show author(s) (2017). wprowadzenie do klasy sf oraz omówienie estymacji modeli hierarchicznych z efektami przestrzennymi w R.
  • Show author(s) (2017). Kurs i romlig dataanalyse.
  • Show author(s) (2017). Comparing implementations of global and local indicators of spatial association.
  • Show author(s) (2016). Workshop on Spatial Analysis.
  • Show author(s) (2016). The use of the R environment for the estimation of spatial econometric models and the interpretation of results.
  • Show author(s) (2016). Spatial statistics summit: unfinished business.
  • Show author(s) (2016). Round table on spatial econometrics software.
  • Show author(s) (2016). Revisiting the Boston data set (Harrison and Rubinfeld, 1978) and ‘what are we weighting for?’.
  • Show author(s) (2016). How air pollution affected house values in Boston, MA, revisited.
  • Show author(s) (2016). Geostat: GIS and R: bridges or R as GIS?
  • Show author(s) (2016). Geoinformacja: GIS and R: bridges or R as GIS?
  • Show author(s) (2016). Documenting steps in using the R-GRASS interface.
  • Show author(s) (2016). CS6: Getting to know R and RStudio.
  • Show author(s) (2016). Bridges between R and GIS.
  • Show author(s) (2016). Applying spatial data analysis: concepts, challenges and tools.
  • Show author(s) (2015). The challenge of system articulation for statistical inference in regional science.
  • Show author(s) (2015). Spatial diffusion and spatial statistics: revisting Hägerstrand's study of innovation diffusion.
  • Show author(s) (2015). Spatial data analysis using GRASS-R interface.
  • Show author(s) (2015). Revisiting Harrison and Rubinfeld (1978): Hedonic Housing Prices and the Demand for Clean Air.
  • Show author(s) (2015). Representing and handling spatial and spatio-temporal data in R.
  • Show author(s) (2015). Neighbours, graphs, weights: eigenproblem representations.
  • Show author(s) (2015). Applied Spatial Econometrics with R.
  • Show author(s) (2014). Why depending on the contributions of others while contributing yourself makes sense?
  • Show author(s) (2014). Using spatial data with R.
  • Show author(s) (2014). The Role of the Weight Matrix in New Computational Methods for Spatial Econometrics.
  • Show author(s) (2014). The R Development Process: status and prospects.
  • Show author(s) (2014). The R Development Process: status and prospects.
  • Show author(s) (2014). Spatial econometrics and its antecedents: the weights matrix.
  • Show author(s) (2014). Spatial econometrics.
  • Show author(s) (2014). Spatial data analysis: representation and support, projections, operations; inference, autocorrelation and interpolation.
  • Show author(s) (2014). Spatial data analysis and hedonic analysis: initial models, development, further models, conclusion.
  • Show author(s) (2014). Representing and handling spatial and spatio-temporal data in R.
  • Show author(s) (2014). Quantitative geography and other antecedents of spatial econometrics (Geografia ilościowa i inne podstawy ekonometrii przestrzennej).
  • Show author(s) (2014). Co można zrobić z danymi przestrzennymi w programie R.
  • Show author(s) (2014). Applied Spatial Data Analysis with R.
  • Show author(s) (2013). Using Spatial Data in the Social Sciences: An Applied Survey.
  • Show author(s) (2013). Using Spatial Data.
  • Show author(s) (2013). Spatial data, spatial economics and spatial econometrics: status and prospects.
  • Show author(s) (2013). Comparing Implementations of Estimation Methods for Spatial Econometrics.
  • Show author(s) (2013). Approximate Bayesian Inference for Spatial Econometrics Models.
  • Show author(s) (2013). An introduction to applied spatial econometrics.
  • Show author(s) (2012). Spatio-temporal data analysis: concepts.
  • Show author(s) (2012). Spatio-temporal data analysis: applications --- processes, separability, modelling --- status and outlook.
  • Show author(s) (2012). Spatial Statistics with R.
  • Show author(s) (2012). On theoretical and numerical extremes of APLE statistics.
  • Show author(s) (2012). Introduction to representing spatial objects in R.
  • Show author(s) (2012). Comparing estimation methods for spatial econometrics.
  • Show author(s) (2012). Comparing estimation methods for spatial econometrics.
  • Show author(s) (2011). Spatio-temporal data analysis.
  • Show author(s) (2011). Spatial Data Analysis with R.
  • Show author(s) (2011). Representation of spatial data - concepts and tools for interdisciplinary research with R examples.
  • Show author(s) (2011). Methods for interpolating point data.
  • Show author(s) (2011). Introduction to representing spatial objects in R.
  • Show author(s) (2011). Implementing space in social sciences: a summary.
  • Show author(s) (2011). Handling and Analyzing Spatio-temporal Data in R.
  • Show author(s) (2011). GWR: selected strengths, weaknesses, and associated challenges.
  • Show author(s) (2011). Fitting spatial econometric models: alternatives and challenges.
  • Show author(s) (2011). Comparing estimation methods for spatial econometrics techniques using R.
  • Show author(s) (2011). Applying spatial data analysis: concepts and tools for interdisciplinary research.
  • Show author(s) (2011). After "Raising the Bar": maximum likelihood estimation of families of models in spatial econometrics.
  • Show author(s) (2010). Using R for doing spatial econometrics.
  • Show author(s) (2010). Representing spatial data in R.
  • Show author(s) (2010). Red herrings and club-convergence: lessons from macroecology for modelling regional growth.
  • Show author(s) (2010). More from less: Using R to analyse spatial data.
  • Show author(s) (2010). First nature variables: using spatial data without the autocorrelation.
  • Show author(s) (2010). Exploratory spatial data analysis, weights and autocorrelation.
  • Show author(s) (2010). Applied spatial data analysis with R.
  • Show author(s) (2009). The problem of spatial autocorrelation revisited: 40 years of applying measures of spatial autocorrelation.
  • Show author(s) (2009). Fitting and interpreting spatial regression models: an applied survey.
  • Show author(s) (2009). Fitting and interpreting spatial regression models: an applied survey.
  • Show author(s) (2009). Computing the jacobian in spatial models: an applied survey.
  • Show author(s) (2009). Computing the Jacobian in Spatial Models: an Applied Survey.
  • Show author(s) (2009). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence.
  • Show author(s) (2008). Spatial statistics: the pains of intersecting Foometrics.
  • Show author(s) (2008). Spatial autoregressive models in R.
  • Show author(s) (2008). Maps in R: Exploring rates of Hansen's Disease in Olinda, Brazil.
  • Show author(s) (2008). Mapping with R: Exploring the Collin County dataset.
  • Show author(s) (2008). Introduction to the spdep package.
  • Show author(s) (2008). Handling spatial data in R.
  • Show author(s) (2008). Geographically Weighted Regression with R.
  • Show author(s) (2008). Exploratory spatial data analysis: purposes, outcomes and challenges.
  • Show author(s) (2008). Exploratory spatial data analysis: purposes, outcomes and challenges.
  • Show author(s) (2008). Constructing spatial weights objects in R using spdep functions.
  • Show author(s) (2008). Computing the Jacobian in Spatial Models: an Applied Survey.
  • Show author(s) (2008). Applied computational spatial statistics with R.
  • Show author(s) (2008). An introduction to handling spatial data in R using sp classes.
  • Show author(s) (2007). Spatial structure and model mis-specification: eigensystem approaches.
  • Show author(s) (2007). R and GIS.
  • Show author(s) (2007). Interfacing R and OSGeo projects: status and perspectives.
  • Show author(s) (2007). Interfacing R and OSGeo projects: status and perspectives.
  • Show author(s) (2007). Applied spatial data analysis with R.
  • Show author(s) (2007). Applied spatial data analysis with R.
  • Show author(s) (2007). Applied spatial data analysis with R.
  • Show author(s) (2007). Applied computational spatial statistics with R.
  • Show author(s) (2007). Applied computational spatial statistics with R.
  • Show author(s) (2007). Applied computational spatial statistics with R.
  • Show author(s) (2007). Analysing spatial data in R.
  • Show author(s) (2007). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence.
  • Show author(s) (2006). Using R with FOSS4G, in particular with GRASS.
  • Show author(s) (2006). Tutorial: analysing spatial data in R.
  • Show author(s) (2006). Tutorial: Analysing Spatial Data in R.
  • Show author(s) (2006). Regional growth and agricultural support: how far do omitted landscape amenity benefits impact convergence?
  • Show author(s) (2006). Implementing representations of space in economic geography.
  • Show author(s) (2006). Error propagation in spatial prediction and other challenges to spatial data analysis.
  • Show author(s) (2006). Does agricultural support affect regional growth negatively? How far do omitted landscape amenity benefits impact the results?
  • Show author(s) (2005). Using open source data analysis environments for prototyping modelling implementations for spatial data: weights in R.
  • Show author(s) (2005). Providing foundation classes for spatial data in R: interfacing data and methods of analysis.
  • Show author(s) (2005). How should spatial lattice data analysis be conceptualised? Problems and controversies.
  • Show author(s) (2005). Further explorations of interactions between agricultural policy and regional growth in Western Europe: approaches to nonstationarity in spatial econometrics.
  • Show author(s) (2005). Further explorations of interactions between agricultural policy and regional growth in Western Europe: approaches to model misspecification in spatial econometrics.
  • Show author(s) (2005). Collaborative open source software development: the case of sp, a package of R class definitions for spatial data.
  • Show author(s) (2004). Turnout and outcome of the 2003 Polish EU membership referendum: some open questions.
  • Show author(s) (2004). The R project and spatial data analysis: Open Source software and user/developer fusion.
  • Show author(s) (2004). Modelling spatial processes for lattice data: how much can we sensibly assume, and when can we risk forcing the data to tell our story, not their own?
  • Show author(s) (2004). EU enlargement: can quantitative geography help us understand its spatial features? : examples from the Polish 2003 EU membership referendum.
  • Show author(s) (2004). Applied point pattern analysis: how can we describe the pattern of drumlins in a drumlin field?
  • Show author(s) (2003). Spatial statistical analysis for lattice/area data in R.
  • Show author(s) (2003). Regional growth in Western Europe: an empirical exploration of interactions with agriculture and agricultural policy.
  • Show author(s) (2003). R-prosjektet: data-analytiske allmenninger.
  • Show author(s) (2003). Overview of spatial data analysis in R: spatial analysis packages.
  • Show author(s) (2003). Directions for Spatial Statistics Using R.
  • Show author(s) (2003). Combining statistics and GIS: workshop section overview.
  • Show author(s) (2003). Approaches to Classes for Spatial Data in R.
  • Show author(s) (2003). (Spatial) statistics for non-(spatial)statisticians: on monarchs and their clothing.
  • Show author(s) (2002). Spatial econometrics functions in R: Classes and methods.
  • Show author(s) (2002). Integrating models and geographical information systems revisited.
  • Show author(s) (2002). Implementing spatial data analysis software tools in R.
  • Show author(s) (2002). Development of the GRASS/R interface - GIS and statistical data analysis.
  • Show author(s) (2001). R and geographical information systems, especially GRASS.
Book review
  • Show author(s) (1997). The Golden Age Illusion: Rethinking Postwar Capitalism, Michael J. Webber, David L. Rigby. GeoJournal. 293-294.
Academic literature review
  • Show author(s) (2012). Community ecology in the age of multivariate multiscale spatial analysis. Ecological Monographs. 257-275.
Article in business/trade/industry journal
  • Show author(s) (2007). Using the R-GRASS interface. ?. 36-38.
  • Show author(s) (2005). Classes and methods for spatial data in R. ?. 9-13.

More information in national current research information system (CRIStin)