References
Engel, Claudia A. 2023. Introduction to r. cengel.github.io/R-intro/.
Field, A. 2024. Discovering Statistics Using IBM SPSS
Statistics. 6th ed. SAGE Publications. https://books.google.pt/books?id=83L2EAAAQBAJ.
INE. 2018. “Mobilidade e Funcionalidade Do Território Nas Áreas Metropolitanas do Porto e de Lisboa:
2017.” Lisboa: Instituto National de Estatística. https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_publicacoes&PUBLICACOESpub_boui=349495406&PUBLICACOESmodo=2&xlang=pt.
———. 2022. “Censos 2021- XVI Recenseamento
Geral da População. VI Recenseamento Geral da Habitação.”
Lisboa: Instituto National de Estatística. https://censos.ine.pt/xurl/pub/65586079.
Legendre, Pierre, and Louis Legendre. 2012. “Chapter 8 - Cluster
Analysis.” In Numerical Ecology, edited by Pierre
Legendre and Louis Legendre, 3rd ed., 24:337–424. Developments in
Environmental Modelling. Elsevier. https://doi.org/10.1016/B978-0-444-53868-0.50008-3.
Lovelace, Robin, and Richard Ellison. 2018. “Stplanr: A Package
for Transport Planning.” The R Journal 10
(2): 10. https://doi.org/10.32614/RJ-2018-053.
Lovelace, Robin, Rosa Félix, and Dustin Carlino. 2022. “Jittering:
A Computationally Efficient Method for Generating Realistic Route
Networks from Origin-Destination Data.” Findings, April.
https://doi.org/10.32866/001c.33873.
Lovelace, Robin, and Malcolm Morgan. 2024. Od: Manipulate and Map
Origin-Destination Data. https://github.com/itsleeds/od.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2024.
Geocomputation with r. 2nd ed. Chapman; Hall/CRC. https://r.geocompx.org/.
Martinez, Luís Garrido, João de Abreu e Silva, and José Manuel Viegas.
2010. “Assessment of Residential Location
Satisfaction in the Lisbon Metropolitan Area.” In. https://trid.trb.org/View/909819.
Oleś, Andrzej K. 2025. Openrouteservice: An ’Openrouteservice’ API
Client. https://github.com/GIScience/openrouteservice-r.
Pebesma, Edzer, and Roger Bivand. 2023. Spatial Data Science: With
Applications in R. Boca Raton: Chapman; Hall/CRC. https://doi.org/10.1201/9780429459016.
R Core Team. 2025. R: A Language and Environment for Statistical
Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Wickham, Hadley, Mine Çetinaka-Rundel, and Garrett Grolemund. 2017.
R for Data Science. 2nd ed. O’Reilly Sebastopol. https://r4ds.hadley.nz/.
Zomorrodi, Ryan. 2024. Centr: Weighted and Unweighted Spatial
Centers. https://ryanzomorrodi.github.io/centr/.