References

Anselin, Luc. 1988. Spatial Econometrics: Methods and Models. Vol. 4. Springer Science & Business Media.

———. 2003. “Spatial Externalities, Spatial Multipliers, and Spatial Econometrics.” International Regional Science Review 26 (2): 153–66.

———. 2007. “Spatial Regression Analysis in r–a Workbook.” Center for Spatially Integrated Social Science. http://csiss.org/GISPopSci/workshops/2011/PSU/readings/W15_Anselin2007.pdf.

Anselin, Luc, and Sergio J. Rey. 2014. Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. GeoDa Press LLC.

Appelhans, Tim, Florian Detsch, Christoph Reudenbach, and Stefan Woellauer. 2022. Mapview: Interactive Viewing of Spatial Data in r. https://github.com/r-spatial/mapview.

Arribas-Bel, Dani. 2014. “Spatial Data, Analysis, and Regression-a Mini Course.” REGION 1 (1): R1. http://darribas.org/sdar_mini.

———. 2019. “A Course on Geographic Data Science.” The Journal of Open Source Education 2 (14). https://doi.org/https://doi.org/10.21105/jose.00042.

Arribas-Bel, Daniel, M.-À. Garcia-López, and Elisabet Viladecans-Marsal. 2021. “Building(s and) Cities: Delineating Urban Areas with a Machine Learning Algorithm.” Journal of Urban Economics 125 (September): 103217. https://doi.org/10.1016/j.jue.2019.103217.

Baddeley, Adrian, Ege Rubak, and Rolf Turner. 2015. Spatial Point Patterns: Methodology and Applications with r. CRC press.

Baddeley, Adrian, Rolf Turner, and Ege Rubak. 2022. Spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests. http://spatstat.org/.

Banerjee, Sudipto, Bradley P Carlin, and Alan E Gelfand. 2014. Hierarchical Modeling and Analysis for Spatial Data. Crc Press.

Belsley, David A, Edwin Kuh, and Roy E Welsch. 2005. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Vol. 571. John Wiley & Sons.

Bivand, Roger. 2022. Spdep: Spatial Dependence: Weighting Schemes, Statistics.

Bivand, Roger S., Edzer Pebesma, and Virgilio Gómez-Rubio. 2013. Applied Spatial Data Analysis with r. Springer New York. https://doi.org/10.1007/978-1-4614-7618-4.

Bivand, Roger, and Gianfranco Piras. 2022. Spatialreg: Spatial Regression Analysis. https://CRAN.R-project.org/package=spatialreg.

Brunsdon, Chris, and Lex Comber. 2015. An Introduction to r for Spatial Analysis & Mapping. Sage.

Brunsdon, Chris, Stewart Fotheringham, and Martin Charlton. 1998. “Geographically Weighted Regression.” Journal of the Royal Statistical Society: Series D (The Statistician) 47 (3): 431–43.

Casado-Díaz, José Manuel, Lucas Martínez-Bernabéu, and Francisco Rowe. 2017. “An Evolutionary Approach to the Delimitation of Labour Market Areas: An Empirical Application for Chile.” Spatial Economic Analysis 12 (4): 379–403. https://doi.org/10.1080/17421772.2017.1273541.

Comber, Alexis, Christopher Brunsdon, Martin Charlton, Guanpeng Dong, Richard Harris, Binbin Lu, Yihe Lü, et al. 2022. “A Route Map for Successful Applications of Geographically Weighted Regression.” Geographical Analysis 55 (1): 155–78. https://doi.org/10.1111/gean.12316.

Cressie, Noel. 2015. Statistics for Spatial Data. John Wiley & Sons.

Cressie, Noel, and Gardar Johannesson. 2008. “Fixed Rank Kriging for Very Large Spatial Data Sets.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 70 (1): 209–26.

Dunnington, Dewey, Edzer Pebesma, and Ege Rubak. 2023. S2: Spherical Geometry Operators Using the S2 Geometry Library. https://CRAN.R-project.org/package=s2.

Fotheringham, A Stewart, and Morton E O’Kelly. 1989. Spatial Interaction Models: Formulations and Applications. Vol. 1. Kluwer Academic Publishers Dordrecht.

Fotheringham, A Stewart, and David WS Wong. 1991. “The Modifiable Areal Unit Problem in Multivariate Statistical Analysis.” Environment and Planning A 23 (7): 1025–44.

Fotheringham, Stewart, Chris Brunsdon, and Martin Charlton. 2002. Geographically Weighted Regression. John Wiley & Sons.

Gabadinho, Alexis, Gilbert Ritschard, Matthias Studer, and Nicolas S Müller. 2009. “Mining Sequence Data in r with the TraMineR Package: A User’s Guide.” Geneva: Department of Econometrics and Laboratory of Demography, University of Geneva.

Gelman, Andrew, and Jennifer Hill. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

Grolemund, Garrett, and Hadley Wickham. 2019. R for Data Science. O’Reilly, US. https://r4ds.had.co.nz.

Hyndman, Rob J, and George Athanasopoulos. 2018. Forecasting: Principles and Practice. OTexts.

Kong, Xiangjie, Menglin Li, Kai Ma, Kaiqi Tian, Mengyuan Wang, Zhaolong Ning, and Feng Xia. 2018. “Big Trajectory Data: A Survey of Applications and Services.” IEEE Access 6: 58295–306. https://doi.org/10.1109/access.2018.2873779.

Kwan, Mei-Po, and Jiyeong Lee. 2004. “Geovisualization of Human Activity Patterns Using 3D GIS: A Time-Geographic Approach.” Spatially Integrated Social Science 27: 721–44.

Loidl, Martin, Gudrun Wallentin, Robin Wendel, and Bernhard Zagel. 2016. “Mapping Bicycle Crash Risk Patterns on the Local Scale.” Safety 2 (3): 17. https://doi.org/10.3390/safety2030017.

Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Geocomputation with r. Chapman; Hall/CRC. https://doi.org/10.1201/9780203730058.

———. 2024. Geocomputation with r. Online. https://doi.org/10.1201/9780203730058.

Lu, Binbin, Paul Harris, Martin Charlton, and Chris Brunsdon. 2014. “The GWmodel r Package: Further Topics for Exploring Spatial Heterogeneity Using Geographically Weighted Models.” Geo-Spatial Information Science 17 (2): 85–101.

Multilevel Modelling, Centre for. n.d. “Introduction to Multilevel Modelling.” n.d. http://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html#m04.

Niedomysl, Thomas. 2011. “How Migration Motives Change over Migration Distance: Evidence on Variation Across Socio-Economic and Demographic Groups.” Regional Studies 45 (6): 843–55. https://doi.org/10.1080/00343401003614266.

Önnerfors, Åsa, Mariana Kotzeva, Teodóra Brandmüller, et al. 2019. “Eurostat Regional Yearbook 2019 Edition.”

Openshaw, Stan. 1981. “The Modifiable Areal Unit Problem.” Quantitative Geography: A British View, 60–69.

Patias, Nikos, Francisco Rowe, and Dani Arribas-Bel. 2021. “Trajectories of Neighbourhood Inequality in Britain: Unpacking Inter-Regional Socioeconomic Imbalances, 1971-2011.” The Geographical Journal 188 (2): 150–65. https://doi.org/10.1111/geoj.12420.

Patias, Nikos, Francisco Rowe, and Stefano Cavazzi. 2019. “A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighborhood Change: A Sequence Analysis Approach.” In, 223–41. Springer International Publishing. https://doi.org/10.1007/978-3-030-14745-7_13.

Pebesma, Edzer. 2004. “Multivariable Geostatistics in S: The Gstat Package.” Computers & Geosciences 30 (7): 683–91. https://doi.org/10.1016/j.cageo.2004.03.012.

Pebesma, Edzer et al. 2012. “Spacetime: Spatio-Temporal Data in r.” Journal of Statistical Software 51 (7): 1–30.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.

———. 2022a. Sf: Simple Features for r. https://CRAN.R-project.org/package=sf.

———. 2022b. Stars: Spatiotemporal Arrays, Raster and Vector Data Cubes. https://CRAN.R-project.org/package=stars.

———. 2023. Lwgeom: Bindings to Selected Liblwgeom Functions for Simple Features. https://github.com/r-spatial/lwgeom/.

Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With Applications in r. CRC Press.

Pebesma, Edzer, and Benedikt Graeler. 2022. Gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation. https://github.com/r-spatial/gstat/.

Rey, Sergio J., Daniel Arribas-Bel, and Levi J. Wolf. 2023. Geographic Data Science with Python. CRC press.

Robinson, WS. 1950. “Ecological Correlations and Individual Behavior.” American Sociological Review 15 (195): 351–57.

Rowe, Francisco. 2022. “Introduction to Geographic Data Science.” Open Science Framework, August. https://doi.org/10.17605/OSF.IO/VHY2P.

Rowe, Francisco, Robin Lovelace, and Adam Dennett. 2022. “Spatial Interaction Modelling: A Manifesto.” http://dx.doi.org/10.31219/osf.io/xcdms.

Rowe, Francisco, and Nikos Patias. 2020. “Mapping the Spatial Patterns of Internal Migration in Europe.” Regional Studies, Regional Science 7 (1): 390–93. https://doi.org/10.1080/21681376.2020.1811139.

Singleton, Alex. 2017. “Geographic Data Science for Urban Analytics.” http://www.alex-singleton.com/GDS_UA_2017/.

Singleton, Alexander D., and Seth E. Spielman. 2013. “The Past, Present, and Future of Geodemographic Research in the United States and United Kingdom.” The Professional Geographer 66 (4): 558–67. https://doi.org/10.1080/00330124.2013.848764.

Stillwell, John, Konstantinos Daras, and Martin Bell. 2018. “Spatial Aggregation Methods for Investigating the MAUP Effects in Migration Analysis.” Applied Spatial Analysis and Policy 11 (4): 693–711. https://doi.org/10.1007/s12061-018-9274-6.

Tao, Sui, Jonathan Corcoran, Francisco Rowe, and Mark Hickman. 2018. “To Travel or Not to Travel: ‘Weather’ Is the Question. Modelling the Effect of Local Weather Conditions on Bus Ridership.” Transportation Research Part C: Emerging Technologies 86 (January): 147–67. https://doi.org/10.1016/j.trc.2017.11.005.

Tennekes, Martijn. 2018. “tmap: Thematic Maps in R.” Journal of Statistical Software 84 (6): 1–39. https://doi.org/10.18637/jss.v084.i06.

———. 2022. Tmap: Thematic Maps. https://github.com/r-tmap/tmap.

Wheeler, David, and Michael Tiefelsdorf. 2005. “Multicollinearity and Correlation Among Local Regression Coefficients in Geographically Weighted Regression.” Journal of Geographical Systems 7 (2): 161–87.

Wickham, Hadley. 2009. Ggplot2. Springer New York. https://doi.org/10.1007/978-0-387-98141-3.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science. " O’Reilly Media, Inc.".

Wikle, Christopher K, Andrew Zammit-Mangion, and Noel Cressie. 2019. Spatio-Temporal Statistics with r. CRC Press.

Williamson, Paul. 2018. “Survey Analysis.”

Wolf, Levi John, Sean Fox, Rich Harris, Ron Johnston, Kelvyn Jones, David Manley, Emmanouil Tranos, and Wenfei Winnie Wang. 2020. “Quantitative Geography III: Future Challenges and Challenging Futures.” Progress in Human Geography 45 (3): 596–608. https://doi.org/10.1177/0309132520924722.

Xie, Yihui, JJ Allaire, and Garrett Grolemund. 2019. R Markdown: The Definitive Guide. CRC Press, Taylor & Francis, Chapman & Hall Book. https://bookdown.org/yihui/rmarkdown/.

Zammit-Mangion, Andrew, and Noel Cressie. 2017. “FRK: An r Package for Spatial and Spatio-Temporal Prediction with Large Datasets.” arXiv Preprint arXiv:1705.08105.