Supplementary Data: Human settlement pressure drives slow-moving landslide exposure

<p>These datasets (.Rmd, .Rroj., .rds) are ready to use within the R software for statistical programming with the R Studio Graphical User Interface (https://posit.co/download/rstudio-desktop/). Please copy the folder structure into one single directory and follow the instructions given in the .Rmd file. Files and folders are described in the README.md file</p> <p>0_ferrer_etal_2024.Rproj</p> <p>README.md</p> <p>1_R_Notebook:</p> <ul> <li>SlowMovingLandslide_Exposure.rmd</li> <li>Ferrer2024_FloodExposureAnalysis.Rmd</li> </ul> <p>2_data:</p> <ul> <li>1_input: <ul> <li>sm_database_2023_01_17.csv</li> <li>sm_database_references.pdf</li> <li>gmba_v2</li> <li>ipcc_regions</li> <li>natrual_earth</li> </ul> </li> <li>2_processed: <ul> <li>model_data_2023_01_17.csv</li> <li>summary_database.csv</li> </ul> </li> </ul> <p>3_results:</p> <ul> <li>1_model <ul> <li>2023_12_31.model.rds</li> </ul> </li> <li>2_figures: <ul> <li>main_figure_elements</li> </ul> </li> <li>3_ext_figures</li> </ul> <p>4_manuscript_figures:</p> <ul> <li>1_main figures</li> <li>2_extended_figures</li> </ul> <p><br>5_floding_analysis:</p> <ul> <li>flood_comp_mod.csv</li> <li>flood_comp_model.rds</li> </ul>