References

Belliard, Frederique, Rusne Sileryte, Anita Graser, Karl Broman, Marta Teperek, Carlos Granell, Barbara Hofer, et al. 2019. “AGILE Reproducible Paper Guidelines.” https://doi.org/10.17605/OSF.IO/CB7Z8.

GDAL/OGR contributors. 2025. GDAL/OGR Geospatial Data Abstraction Software Library. Open Source Geospatial Foundation. https://doi.org/10.5281/zenodo.5884351.

Hester, Jim, and Jennifer Bryan. 2024. Glue: Interpreted String Literals. https://CRAN.R-project.org/package=glue.

Hijmans, Robert J. 2024. Terra: Spatial Data Analysis. https://rspatial.org/.

Lu, Binbin, Huabo Sun, Paul Harris, Miaozhong Xu, and Martin Charlton. 2018. “Shp2graph: Tools to Convert a Spatial Network into an Igraph Graph in r.” ISPRS International Journal of Geo-Information 7 (8): 293. https://doi.org/10.3390/ijgi7080293.

PCDaS. 2022. “ETLCNES_SR.zip.” Synapse. https://doi.org/10.7303/SYN32211006.1.

Possantti, Iporã, Ana Aguirre, Camila Alberti, Laura Azeredo, Mariana Barcelos, Fernando Becker, Mateus Camana, et al. 2024. “Banco de Dados Das Cheias Na Região Hidrográfica Do Lago Guaíba Em Maio de 2024.” Zenodo. https://doi.org/10.5281/ZENODO.13999016.

Runfola, Daniel, Austin Anderson, Heather Baier, Matt Crittenden, Elizabeth Dowker, Sydney Fuhrig, Seth Goodman, et al. 2020. “geoBoundaries: A Global Database of Political Administrative Boundaries.” Edited by Wenwu Tang. PLOS ONE 15 (4): e0231866. https://doi.org/10.1371/journal.pone.0231866.

Schiavina, Marcello, Michele Melchiorri, and Martino Pesaresi. 2023. “GHS-SMOD R2023A - GHS Settlement Layers, Application of the Degree of Urbanisation Methodology (Stage i) to GHS-POP R2023A and GHS-BUILT-s R2023A, Multitemporal (1975-2030).” European Commission, Joint Research Centre (JRC). https://doi.org/10.2905/A0DF7A6F-49DE-46EA-9BDE-563437A6E2BA.

Wickham, Hadley, and Kirill Müller. 2001. “DBI: R Database Interface.” CRAN: Contributed Packages. The R Foundation. https://doi.org/10.32614/cran.package.dbi.

Wickham, Hadley, Jeroen Ooms, and Kirill Müller. 2025. RPostgres: C++ Interface to PostgreSQL. https://CRAN.R-project.org/package=RPostgres.