Konferanseforedrag

• Roger Bivand (2008). An introduction to handling spatial data in R using sp classes. (ekstern lenke)
• Roger Bivand (2008). Mapping with R: Exploring the Collin County dataset. (ekstern lenke)
• Roger Bivand (2012). Spatial Statistics with R. (ekstern lenke)
• Roger Bivand (2012). Spatio-temporal data analysis: applications --- processes, separability, modelling --- status and outlook. (ekstern lenke)
• Roger Bivand (2004). The R project and spatial data analysis: Open Source software and user/developer fusion. (ekstern lenke)
• Roger Bivand (2004). Applied point pattern analysis: how can we describe the pattern of drumlins in a drumlin field?. (ekstern lenke)
• Roger Bivand (2007). Interfacing R and OSGeo projects: status and perspectives. (ekstern lenke)
• Roger Bivand (2010). More from less: Using R to analyse spatial data. (ekstern lenke)
• Roger Bivand (2006). Using R with FOSS4G, in particular with GRASS. (ekstern lenke)
• Roger Bivand (2016). The use of the R environment for the estimation of spatial econometric models and the interpretation of results. (ekstern lenke)
• Roger Bivand (2016). Geostat: GIS and R: bridges or R as GIS?. (ekstern lenke)
• Roger Bivand (2018). A practical history of R-sig-geo (where things came from). (ekstern lenke)
• Roger Bivand (2018). A practical history of R (where things came from). (ekstern lenke)
• Roger Bivand (2009). Computing the jacobian in spatial models: an applied survey. (ekstern lenke)
• Roger Bivand (2009). The problem of spatial autocorrelation revisited: 40 years of applying measures of spatial autocorrelation. (ekstern lenke)
• Roger Bivand (2015). Representing and handling spatial and spatio-temporal data in R. (ekstern lenke)
• Roger Bivand (2022). Modernizing the R-GRASS interface: confronting barn-raised OSGeo libraries and the evolving R.*spatial package ecosystem. (ekstern lenke)
• Roger Bivand (2016). Geoinformacja: GIS and R: bridges or R as GIS?. (ekstern lenke)
• Roger Bivand (2014). Spatial data analysis and hedonic analysis: initial models, development, further models, conclusion. (ekstern lenke)
• Roger Bivand (2016). CS6: Getting to know R and RStudio. (ekstern lenke)
• Roger Bivand (2011). Spatio-temporal data analysis. (ekstern lenke)
• Roger Bivand (2011). Introduction to representing spatial objects in R. (ekstern lenke)
• Roger Bivand (2011). Implementing space in social sciences: a summary. (ekstern lenke)
• Roger Bivand (2011). After "Raising the Bar": maximum likelihood estimation of families of models in spatial econometrics. (ekstern lenke)
• Roger Bivand (2011). Methods for interpolating point data. (ekstern lenke)
• Roger Bivand (2013). Spatial data, spatial economics and spatial econometrics: status and prospects. (ekstern lenke)
• Roger Bivand (2013). Using Spatial Data. (ekstern lenke)
• Roger Bivand (2008). Introduction to the spdep package. (ekstern lenke)
• Roger Bivand; Daniel Arribas-Bel (2019). R&Py Spatial Analysis Workshop. (ekstern lenke)
• Roger Bivand (2008). Geographically Weighted Regression with R. (ekstern lenke)
• Roger Bivand (2008). Computing the Jacobian in Spatial Models: an Applied Survey. (ekstern lenke)
• Roger Bivand (2019). Spatial modelling, spatial weights, spatial regression. (ekstern lenke)
• Roger Bivand; Gianfranco Piras (2012). Comparing estimation methods for spatial econometrics. (ekstern lenke)
• Roger Bivand (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?. (ekstern lenke)
• Yongwan Chun; Roger Bivand; Michael Tiefelsdorf (2005). Using open source data analysis environments for prototyping modelling implementations for spatial data: weights in R. (ekstern lenke)
• Roger Bivand (2007). Analysing spatial data in R. (ekstern lenke)
• Roger Bivand (2007). Applied computational spatial statistics with R. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2007). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence. (ekstern lenke)
• Roger Bivand (2010). Applied spatial data analysis with R. (ekstern lenke)
• Roger Bivand (2006). Tutorial: analysing spatial data in R. (ekstern lenke)
• Roger Bivand (2010). Using R for doing spatial econometrics. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2005). Further explorations of interactions between agricultural policy and regional growth in Western Europe: approaches to nonstationarity in spatial econometrics. (ekstern lenke)
• Roger Bivand (2015). Spatial data analysis using GRASS-R interface. (ekstern lenke)
• Roger Bivand (2002). Implementing spatial data analysis software tools in R. (ekstern lenke)
• Edzer Pebesma; Roger Bivand (2024). The Retirement of R Packages with Many Reverse Dependencies. (ekstern lenke)
• Roger Bivand (2016). Workshop on Spatial Analysis. (ekstern lenke)
• Roger Bivand (2016). Bridges between R and GIS. (ekstern lenke)
• Roger Bivand (2009). Fitting and interpreting spatial regression models: an applied survey. (ekstern lenke)
• Roger Bivand (2018). Spatial econometrics meets data science. (ekstern lenke)
• Roger Bivand (2020). Applied Spatial Data Analysis with R: retrospect and prospect. (ekstern lenke)
• Roger Bivand (2015). Neighbours, graphs, weights: eigenproblem representations. (ekstern lenke)
• Roger Bivand (2014). Quantitative geography and other antecedents of spatial econometrics (Geografia ilościowa i inne podstawy ekonometrii przestrzennej). (ekstern lenke)
• Roger Bivand (2001). R and geographical information systems, especially GRASS. (ekstern lenke)
• Roger Bivand (2016). Spatial statistics summit: unfinished business. (ekstern lenke)
• Roger Bivand (2003). Regional growth in Western Europe: an empirical exploration of interactions with agriculture and agricultural policy. (ekstern lenke)
• Roger Bivand (2011). Applying spatial data analysis: concepts and tools for interdisciplinary research. (ekstern lenke)
• Roger Bivand; Daniel Griffith (2011). GWR: selected strengths, weaknesses, and associated challenges. (ekstern lenke)
• Roger Bivand; Edzer Pebesma (2011). Handling and Analyzing Spatio-temporal Data in R. (ekstern lenke)
• Roger Bivand (2011). Comparing estimation methods for spatial econometrics techniques using R. (ekstern lenke)
• Roger Bivand (2014). Applied Spatial Data Analysis with R. (ekstern lenke)
• Roger Bivand; Gianfranco Piras (2013). Comparing Implementations of Estimation Methods for Spatial Econometrics. (ekstern lenke)
• Roger Bivand (2025). Categorical independent variables and spatial regression: interpretation and reporting. (ekstern lenke)
• Roger Bivand (2008). Applied computational spatial statistics with R. (ekstern lenke)
• Roger Bivand (2023). Progress in modernizing and replacing infrastructure packages in R-spatial workflows. (ekstern lenke)
• Roger Bivand; David Wong (2017). Comparing implementations of global and local indicators of spatial association. (ekstern lenke)
• Roger Bivand (2023). Class intervals for thematic mapping: implementations in R. (ekstern lenke)
• Roger Bivand (2012). Introduction to representing spatial objects in R. (ekstern lenke)
• Roger Bivand (2004). EU enlargement: can quantitative geography help us understand its spatial features? : examples from the Polish 2003 EU membership referendum. (ekstern lenke)
• Roger Bivand; Edzer Pebesma; Barry Rowlingson (2005). Collaborative open source software development: the case of sp, a package of R class definitions for spatial data. (ekstern lenke)
• Roger Bivand (2007). Applied computational spatial statistics with R. (ekstern lenke)
• Roger Bivand (2007). Applied spatial data analysis with R. (ekstern lenke)
• Roger Bivand (2006). Implementing representations of space in economic geography. (ekstern lenke)
• Roger Bivand (2018). Analizy społeczno-ekonomiczne danych geograficznych z wykorzystaniem R (kurs dla średnio zaawansowanych). (ekstern lenke)
• Roger Bivand (2006). Tutorial: Analysing Spatial Data in R. (ekstern lenke)
• Roger Bivand (2010). Exploratory spatial data analysis, weights and autocorrelation. (ekstern lenke)
• Roger Bivand (2008). Maps in R: Exploring rates of Hansen's Disease in Olinda, Brazil. (ekstern lenke)
• Roger Bivand (2016). Applying spatial data analysis: concepts, challenges and tools. (ekstern lenke)
• Roger Bivand (2009). Fitting and interpreting spatial regression models: an applied survey. (ekstern lenke)
• Roger Bivand (2014). Spatial econometrics and its antecedents: the weights matrix. (ekstern lenke)
• Roger Bivand (2017). Kurs i romlig dataanalyse. (ekstern lenke)
• Roger Bivand (2015). Revisiting Harrison and Rubinfeld (1978): Hedonic Housing Prices and the Demand for Clean Air. (ekstern lenke)
• Roger Bivand (2002). Integrating models and geographical information systems revisited. (ekstern lenke)
• Roger Bivand (2014). Spatial data analysis: representation and support, projections, operations; inference, autocorrelation and interpolation. (ekstern lenke)
• Roger Bivand (2016). Documenting steps in using the R-GRASS interface. (ekstern lenke)
• Roger Bivand (2016). Round table on spatial econometrics software. (ekstern lenke)
• Roger Bivand (2003). Spatial statistical analysis for lattice/area data in R. (ekstern lenke)
• Roger Bivand (2003). Directions for Spatial Statistics Using R. (ekstern lenke)
• Roger Bivand; Gregoire Dubois (2003). Combining statistics and GIS: workshop section overview. (ekstern lenke)
• Roger Bivand (2014). Spatial econometrics. (ekstern lenke)
• Roger Bivand (2014). Why depending on the contributions of others while contributing yourself makes sense?. (ekstern lenke)
• Roger Bivand; Håvard Rue; Virgilio Gómez-Rubio (2013). Approximate Bayesian Inference for Spatial Econometrics Models. (ekstern lenke)
• Roger Bivand (2013). Using Spatial Data in the Social Sciences: An Applied Survey. (ekstern lenke)
• Roger Bivand (2014). Using spatial data with R. (ekstern lenke)
• Roger Bivand (2008). Exploratory spatial data analysis: purposes, outcomes and challenges. (ekstern lenke)
• Roger Bivand (2008). Constructing spatial weights objects in R using spdep functions. (ekstern lenke)
• Roger Bivand (2008). Handling spatial data in R. (ekstern lenke)
• Roger Bivand (2008). Spatial autoregressive models in R. (ekstern lenke)
• Roger Bivand; Virgilio Gómez-Rubio (2019). Business re-opening after Katrina: survival modelling compared to modelling re-opening within 3, 6 or 12 months with spatial extensions. (ekstern lenke)
• Roger Bivand (2019). R and GIS, or R as GIS: handling and analyzing spatial data. (ekstern lenke)
• Roger Bivand (2006). Does agricultural support affect regional growth negatively? How far do omitted landscape amenity benefits impact the results?. (ekstern lenke)
• Roger Bivand (2012). Spatio-temporal data analysis: concepts. (ekstern lenke)
• Roger Bivand (2023). How the R-spatial evolution project affects spatial econometrics workflows. (ekstern lenke)
• Roger Bivand (2019). Progress in the R ecosystem for open source spatial analysis software (UW). (ekstern lenke)
• Roger Bivand (2007). Spatial structure and model mis-specification: eigensystem approaches. (ekstern lenke)
• Roger Bivand (2007). R and GIS. (ekstern lenke)
• Roger Bivand; Virgilio Gómez-Rubio (2007). Applied spatial data analysis with R. (ekstern lenke)
• Roger Bivand (2007). Applied spatial data analysis with R. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2006). Regional growth and agricultural support: how far do omitted landscape amenity benefits impact convergence?. (ekstern lenke)
• Roger Bivand (2018). Analizy społeczno-ekonomiczne danych geografcznych z wykorzystaniem R (kurs dla początkujących). (ekstern lenke)
• Roger Bivand (2010). Representing spatial data in R. (ekstern lenke)
• Roger Bivand (2010). Red herrings and club-convergence: lessons from macroecology for modelling regional growth. (ekstern lenke)
• Roger Bivand (2005). Providing foundation classes for spatial data in R: interfacing data and methods of analysis. (ekstern lenke)
• Roger Bivand (2020). How R Helped Provide Tools for Spatial Data Analysis. (ekstern lenke)
• Roger Bivand (2002). Development of the GRASS/R interface - GIS and statistical data analysis. (ekstern lenke)
• Roger Bivand (2015). The challenge of system articulation for statistical inference in regional science. (ekstern lenke)
• Roger Bivand (2017). wprowadzenie do klasy sf oraz omówienie estymacji modeli hierarchicznych z efektami przestrzennymi w R. (ekstern lenke)
• Roger Bivand (2015). Spatial diffusion and spatial statistics: revisting Hägerstrand's study of innovation diffusion. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2014). The Role of the Weight Matrix in New Computational Methods for Spatial Econometrics. (ekstern lenke)
• Roger Bivand (2014). Co można zrobić z danymi przestrzennymi w programie R. (ekstern lenke)
• Roger Bivand (2023). Modernizing R-spatial: Changes in OSGeo FOSS Libraries and the Evolving R-Spatial Package Ecosystem. (ekstern lenke)
• Roger Bivand (2023). Coordinate reference systems. (ekstern lenke)
• Roger Bivand (2003). Approaches to Classes for Spatial Data in R. (ekstern lenke)
• Roger Bivand (2003). Overview of spatial data analysis in R: spatial analysis packages. (ekstern lenke)
• Konstantin Krivoruchko; Roger Bivand (2003). (Spatial) statistics for non-(spatial)statisticians: on monarchs and their clothing. (ekstern lenke)
• Roger Bivand (2013). An introduction to applied spatial econometrics. (ekstern lenke)
• Roger Bivand (2014). Representing and handling spatial and spatio-temporal data in R. (ekstern lenke)
• Roger Bivand (2019). Progress in the R ecosystem for open source spatial analysis software. (ekstern lenke)
• Roger Bivand (2008). Spatial statistics: the pains of intersecting Foometrics. (ekstern lenke)
• Roger Bivand (2023). The use of R for spatial econometrics. (ekstern lenke)
• Roger Bivand (2019). Not just R-spatial: sustaining open source geospatial software stacks. (ekstern lenke)
• Roger Bivand (2012). Comparing estimation methods for spatial econometrics. (ekstern lenke)
• Roger Bivand; Jan Hauke; Tomasz Kossowski (2012). On theoretical and numerical extremes of APLE statistics. (ekstern lenke)
• Roger Bivand (2018). Workshop: spatial data analysis. (ekstern lenke)
• Roger Bivand (2011). Spatial Data Analysis with R. (ekstern lenke)
• Roger Bivand (2005). How should spatial lattice data analysis be conceptualised? Problems and controversies. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2005). Further explorations of interactions between agricultural policy and regional growth in Western Europe: approaches to model misspecification in spatial econometrics. (ekstern lenke)
• Roger Bivand (2004). Turnout and outcome of the 2003 Polish EU membership referendum: some open questions. (ekstern lenke)
• Roger Bivand (2007). Applied computational spatial statistics with R. (ekstern lenke)
• Roger Bivand (2007). Interfacing R and OSGeo projects: status and perspectives. (ekstern lenke)
• Roger Bivand (2006). Error propagation in spatial prediction and other challenges to spatial data analysis. (ekstern lenke)
• Roger Bivand (2010). First nature variables: using spatial data without the autocorrelation. (ekstern lenke)
• Roger Bivand (2016). How air pollution affected house values in Boston, MA, revisited. (ekstern lenke)
• Roger Bivand (2008). Exploratory spatial data analysis: purposes, outcomes and challenges. (ekstern lenke)
• Roger Bivand (2002). Spatial econometrics functions in R: Classes and methods. (ekstern lenke)
• Roger Bivand (2009). Computing the Jacobian in Spatial Models: an Applied Survey. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2009). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence. (ekstern lenke)
• Roger Bivand (2015). Applied Spatial Econometrics with R. (ekstern lenke)
• Roger Bivand (2016). Revisiting the Boston data set (Harrison and Rubinfeld, 1978) and ‘what are we weighting for?’. (ekstern lenke)
• Roger Bivand (2019). Progress in the R ecosystem for open source spatial analysis software (ETHZ). (ekstern lenke)
• Roger Bivand (2024). Spatial econometrics and machine learning: economic and social research questions using spatial data. (ekstern lenke)
• Roger Bivand (2011). Fitting spatial econometric models: alternatives and challenges. (ekstern lenke)
• Roger Bivand (2011). Representation of spatial data - concepts and tools for interdisciplinary research with R examples. (ekstern lenke)
• Roger Bivand (2003). R-prosjektet: data-analytiske allmenninger. (ekstern lenke)
• Roger Bivand (2014). The R Development Process: status and prospects. (ekstern lenke)
• Roger Bivand (2014). The R Development Process: status and prospects. (ekstern lenke)

Forskningsrapport

• Roger Bivand (1998). A review of spatial statistical techniques for location studies. (ekstern lenke)
• Roger Bivand (2011). After “Raising the Bar”: applied maximum likelihood estimation of families of models in spatial econometrics. (ekstern lenke)
• Roger Bivand; Edzer Pebesma (2023). Progress on R-spatial evolution, Apr 2023. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2006). Regional growth in Western Europe: detecting spatial misspecification using the R environment. (ekstern lenke)
• Roger S. Bivand; Jens Christian Hansen (1995). A detailed spatial data analysis of the 1993 Polish parliamentary elections. (ekstern lenke)
• Roger Bivand (2010). Comparing estimation methods for spatial econometrics techniques using R. (ekstern lenke)
• Roger Bivand (1998). Spaces beyond the horizon? Alternative imaginative geographies between Europe and the Orient. (ekstern lenke)
• Roger Bivand (2010). Computing the Jacobian in spatial models: an applied survey. (ekstern lenke)
• Roger Bivand (2015). Revisiting the Boston data set (Harrison and Rubinfeld, 1978): a case study in the challenges of system articulation. (ekstern lenke)
• Roger Bivand (1998). Dynamic externalities and regional manufacturing development in Poland. (ekstern lenke)
• Roger Bivand; Albrecht Gebhardt (1998). Implementing functions for spatial statistical analysis using the R language. (ekstern lenke)
• Roger Bivand; Kristian Stokke (1995). Investigating the Local: Structure, Place, Agency. Report from a Norwegian National Research Course in Human Geography, Bergen, September 1994. (ekstern lenke)
• Roger Bivand (2011). Geocomputation and open source software: components and software stacks. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2002). Regional growth in Western Europe: an empirical exploration of interactions with agriculture and agricultural policy. (ekstern lenke)
• Roger Bivand (1999). Using the R statistical data analysis language on GRASS 5.0 GIS data base files. (ekstern lenke)
• Roger Bivand (2010). Exploiting parallelization in spatial statistics: an applied survey using R. (ekstern lenke)
• Edzer Pebesma; Roger Bivand (2022). R-spatial evolution: retirement of rgdal, rgeos and maptools. (ekstern lenke)
• Roger Bivand; Edzer Pebesma (2022). Progress on R-spatial evolution, Dec 2022. (ekstern lenke)
• Roger Bivand; Edzer Pebesma (2023). sp evolution status: examples of migration from retiring packages. (ekstern lenke)
• Roger Bivand (1999). Open source software and the knowledge economy: Virtually free and virtually immeasurable. (ekstern lenke)

Vitenskapelig artikkel

• Zhijie Zhang; A.B. Clark; Roger Bivand et al. (2009). Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China. (ekstern lenke)
• Roger Bivand (2005). Interfacing GRASS 6 and R: Status and development directions. (ekstern lenke)
• Carsten Dormann; Jana McPherson; Miguel Araújo et al. (2007). Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2020). Bayesian Model Averaging with the Integrated Nested Laplace Approximation. (ekstern lenke)
• Z.J. Zhang; T.E. Carpenter; H.S. Lynn et al. (2009). Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2021). Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation. (ekstern lenke)
• Roger Bivand (2002). Spatial econometrics functions in R:Classes and methods. (ekstern lenke)
• Boris Portnov; Evyatar Erell; Roger Bivand et al. (2000). Investigating the effect of clustering of the urban field on sustainable population growth of centrally located and peripheral towns. (ekstern lenke)
• Achim Zeileis; Roger Bivand; Dirk Eddelbuettel et al. (2025). The CRAN Task View Initiative. (ekstern lenke)
• Roger Bivand (2001). More on Spatial Data. (ekstern lenke)
• Roger Bivand; Giovanni Millo; Gianfranco Piras (2021). A Review of Software for Spatial Econometrics in R. (ekstern lenke)
• Roger Bivand (2025). Implementing a weighted measure of multivariate spatial autocorrelation. (ekstern lenke)
• Francisco Palmí-Perales; Virgilio Gómez-Rubio; Roger Bivand et al. (2023). Bayesian Inference for Multivariate Spatial Models with INLA. (ekstern lenke)
• Roger Bivand (2000). Using the R statistical data analysis language on GRASS 5.0 GIS data base files. (ekstern lenke)
• Roger Bivand (2004). Spatial data analysis: Theory and practice. (ekstern lenke)
• Roger Bivand; Wisla Surazska (1997). From populist vote to the post-Communist victory in Poland: Regional differences. (ekstern lenke)
• Edzer Pebesma; Roger Bivand; Paulo Justiano Ribeiro (2015). Software for Spatial Statistics. (ekstern lenke)
• Roger Bivand (2006). Implementing spatial data analysis software tools in R. (ekstern lenke)
• Roger S. Bivand (2020). Progress in the R ecosystem for representing and handling spatial data. (ekstern lenke)
• Roger Bivand; Jan Hauke; Tomasz Kossowski (2013). Computing the Jacobian in Gaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods. (ekstern lenke)
• Roger Bivand; Virgilio Gómez-Rubio; Håvard Rue (2015). Spatial Data Analysis with R-INLA with Some Extensions. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2012). Agricultural support as a Pigouvian subsidy for landscape amenity benefits: revisiting European regional convergence. (ekstern lenke)
• Roger Bivand; Justyna Wilk; Tomasz Kossowski (2017). Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count tests. (ekstern lenke)
• Roger Bivand (1999). Dynamic externalities and regional manufacturing development in Poland. (ekstern lenke)
• Daniel Griffith; Roger Bivand; Yongwan Chun (2015). Implementing approximations to extreme eigenvalues and eigenvalues of irregular surface partitionings for use in SAR and CAR models.. (ekstern lenke)
• Roger Bivand (2022). R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data. (ekstern lenke)
• Roger Bivand (1998). Software and software design issues in the exploration of local dependence. (ekstern lenke)
• Roger Bivand; Albrecht Gebhardt (2000). Implementing functions for spatial statistical analysis using the R language. (ekstern lenke)
• Roger Bivand; Gianfranco Piras (2015). Comparing implementations of estimation methods for spatial econometrics. (ekstern lenke)
• Roger Bivand (2017). Revisiting the Boston data set. Changing the units of observation affects estimated willingness to pay for clean air.. (ekstern lenke)
• Roger Bivand (2015). Spatial diffusion and spatial statistics: revisting Hägerstrand’s study of innovation diffusion.. (ekstern lenke)
• Roger Bivand (2009). Applying Measures of Spatial Autocorrelation: Computation and Simulation. (ekstern lenke)
• Edzer Pebesma; Daniel Nüst; Roger Bivand (2012). The R Software Environment in Reproducible Geoscientific Research. (ekstern lenke)
• Francesco Carrer; Tomasz Kossowski; Justyna Wilk et al. (2020). The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces. (ekstern lenke)
• Roger Bivand; Virgilio Gómez-Rubio (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. (ekstern lenke)
• Roger Bivand; Werner G. Müller; Markus Reder (2009). Power calculations for global and local Moran's l. (ekstern lenke)
• Roger Bivand; Konstantin Krivoruchko (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?’’. (ekstern lenke)
• Roger Bivand; Stefan Szymanski (1997). Spatial dependence through local yardstick competition: theory and testing. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad (2006). Regional growth in Western Europe: detecting spatial misspecification using the R environment. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2015). A new latent class to fit spatial econometrics models with Integrated Nested Laplace Approximations.. (ekstern lenke)
• Roger Bivand (2012). After "Raising the Bar'': applied maximum likelihood estimation of families of models in spatial econometrics. (ekstern lenke)
• Roger Bivand; David W.S. Wong (2018). Comparing implementations of global and local indicators of spatial association.. (ekstern lenke)
• Roger Bivand; Zhe Sha; Liv Aileen Osland et al. (2017). A comparison of estimation methods for multilevel models of spatially structured data. (ekstern lenke)
• Roger Bivand; Virgilio Gómez-Rubio; Håvard Rue (2014). Approximate Bayesian inference for spatial econometrics models. (ekstern lenke)
• Roger Bivand (2008). Implementing representations of space in economic geography. (ekstern lenke)
• Roger Bivand; Stefan Szymanski (2000). Modelling the spatial impact of the introduction of compulsory competitive tendering. (ekstern lenke)

Lederartikkel

• Roger Bivand (2017). Editorial. (ekstern lenke)
• Roger Bivand (2017). Editorial. (ekstern lenke)

Tidsskriftomtale

• Roger Bivand (1997). The Warsaw economy in transition, D. E. Dowall, M. Sadowy, A. Zalewski, and Restructuring Krakow: Desperately seeking capitalism, J. Hardy, A. Rainnie. (ekstern lenke)
• Roger Bivand (2003). Geographic Data Mining and Knowledge Discovery. Edited by HARVEY J. MILLER and JIAWEI HAN. (ekstern lenke)
• Roger Bivand (2000). Nordic region-building in a European perspective. Edited by H. Baldersheim and K. Ståhlberg (book review). (ekstern lenke)
• Roger Bivand (1997). The Golden Age Illusion: Rethinking Postwar Capitalism, Michael J. Webber, David L. Rigby. (ekstern lenke)
• Roger Bivand (2013). Spatial statistics: geospatial information modeling and thematic mapping. (ekstern lenke)

Vitenskapelig bokkapittel

• Roger Bivand (2010). Exploratory Spatial Data Analysis. (ekstern lenke)
• Roger Bivand (2011). Interregional balances in Poland's 1970 regional accounts. (ekstern lenke)
• Roger Bivand (2010). Spatial Econometric Functions in R. (ekstern lenke)
• Roger Bivand; Anne Lucas; Stan Openshaw et al. (2000). Integrating models and geographical information systems. (ekstern lenke)
• Roger Bivand; Manfred Fischer; Henk J. Scholten et al. (1997). Scripting and toolbox approaches to spatial analysis in a GIS context. (ekstern lenke)
• Anne Lucas; Roger S. Bivand (1999). Integrating models and geographic information systems. (ekstern lenke)
• Roger Bivand (2022). Analytical environments. (ekstern lenke)
• Roger Bivand (2010). Exploratory Spatial Data Analysis. (ekstern lenke)
• Roger Bivand (2008). Error Propagation in Spatial Prediction. (ekstern lenke)
• Roger Bivand; Zarine Kemp (1997). Scripting and tool integration in spatial analysis: prototyping local indicators and distance statistics. (ekstern lenke)
• Roger Bivand; Tim Unwin (1998). The northern expansion. (ekstern lenke)
• Anne Elisabeth Lucas; Roger S. Bivand; R Abrahart et al. (1999). Integrating models and geographic information systems. (ekstern lenke)
• Roger Bivand (2014). GeoComputation and Open-Source Software : Components and Software Component Stacks. (ekstern lenke)
• Roger Bivand; Boris Portnov (2004). Exploring spatial data analysis techniques using R: the case of observations with no neighbours. (ekstern lenke)
• Roger Bivand (2010). Spatial Econometric Functions in R. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2014). Spatial models using Laplace Approximation Methods. (ekstern lenke)
• Anne Lucas; Roger Bivand (2000). Integrating models and geographic information systems. (ekstern lenke)
• Roger Bivand; Markus Neteler (2000). Open Source GeoComputation: Using the R Data Analysis Language Integrated with GRASS GIS and PostgreSQL Data Base Systems. (ekstern lenke)
• Roger Bivand; Antoni Kuklinski (1997). Imaginative geographies: Spaces beyond the horizon?. (ekstern lenke)
• Roger Bivand; Erik Stubkjær; Henning Sten Hansen (1999). Integrating GRASS 5.0 and R: GIS and modern statistics for data analysis. (ekstern lenke)
• Roger Bivand; Rolf Jens Brunstad; Bernard Fingleton (2003). Regional growth in Western Europe: an empirical exploration of interactions with agriculture and agricultural policy. (ekstern lenke)
• Roger Bivand (2000). Open Source software and the Knowledge Economy: Virtually free and virtually immeasurable. (ekstern lenke)

Fagbok

• Anne Kirsti Ryntveit; Roger S. Bivand (1996). Kampen for Tamil Eelam. Framveksten av militant tamilsk separatistnasjonalisme i Sri Lanka. (ekstern lenke)
• Roger Bivand; Kristian Stokke (1995). Investigating the Local: Structure, Place, Agency. Report f rom a Norwegian National Research Course in Human Geography , Bergen, September 1994. (ekstern lenke)
• Roger Bivand; Kristian Stokke (1995). Investigating the Local: Structure, Place, Agency. Report f rom a Norwegian National Research Course in Human Geography , Bergen. September 1994. (ekstern lenke)
• Roger Bivand; Kristian Stokke (1995). Investigating the Local: Structure, Place, Agency. Report f rom a Norwegian National Research Course in Human Geography , Bergen, September 1994. (ekstern lenke)

Leserbrev

• Roger Bivand (2018). Åpenbare svakheter i angrepet mot Bybanen. (ekstern lenke)
• Roger Bivand (2019). Plan S er ikke så skremmende. (ekstern lenke)
• Roger Bivand (2017). Drømmen om lekeplasser. (ekstern lenke)

Forelesning

• Roger Bivand; Anne Lucas (1994). Inference, data interpretation and geographical information systems: comparative studies with GRID data set. (ekstern lenke)
• Roger Bivand (2015). GIS i dag - GIS i morgen: muligheter og utfordringer. (ekstern lenke)
• Roger Bivand (2019). Applied spatial data analysis with R: status and prospects. (ekstern lenke)

Konferanseposter

• Roger Bivand (2004). Innføring i R som data-analytisk verktøy, og R-prosjektet som utviklingsmiljø. (ekstern lenke)
• Roger Bivand; Albrecht Gebhardt (2017). Alternatives to the akima package. (ekstern lenke)
• Daniel A. Griffith; Roger Bivand; Yongwan Chun (2015). Implementing approximations to extreme eigenvalues. (ekstern lenke)
• Virgilio Gómez-Rubio; Roger Bivand; Håvard Rue (2015). Spatial Econometrics Models with INLA: the SLM latent model. (ekstern lenke)
• Roger Bivand (2003). The R community, synthesis, and the change of support problem: challenges and opportunities for inferring from LIFECO. (ekstern lenke)
• Roger Bivand (2017). The R Journal: status. (ekstern lenke)
• Roger Bivand (2003). Access and use of spatial data in R, including 2D spatial statistics where needed. (ekstern lenke)

Vitenskapelig monografi

• Roger Bivand; Edzer Pebesma; Virgilio Gómez-Rubio (2013). Applied Spatial Data Analysis with R. (ekstern lenke)
• Roger Bivand; Edzer Pebesma; Virgilio Gómez-Rubio (2008). Applied Spatial Data Analysis with R. (ekstern lenke)
• Edzer Pebesma; Roger Bivand (2023). Spatial Data Science With Applications in R. (ekstern lenke)

Leksikonartikkel

• Roger Bivand (2002). Norway. (ekstern lenke)

Masteroppgave

• Roger Bivand; Styrk Henrik Finne (2014). Principia of spatio-temporal data representation: an investigation.. (ekstern lenke)

Vitenskapelig litteraturgjennomgang

• Stehane Dray; Raphaël Pélissier; Pierre Couteron et al. (2012). Community ecology in the age of multivariate multiscale spatial analysis. (ekstern lenke)

Medieintervju

• Roger Bivand; Thore Johnsen; Øivind A Nilsen et al. (2016). Derfor sa britene nei. (ekstern lenke)

Fagartikkel

• Edzer Pebesma; Roger Bivand (2005). Classes and methods for spatial data in R. (ekstern lenke)
• Roger Bivand (2007). Using the R-GRASS interface. (ekstern lenke)

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