Large Landslide Exposure in Metropolitan Cities

<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 data are listed and described as follows:</p> <p>Main directory files: results_fpath</p> <ul> <li>Code containing statisticla analysis and ploting: 20240927_code.Rmd&nbsp;</li> <li>1_melted_lan_df.rds: Landslide time series database covering 1,085 landslides intersected with settlement footprints from 1985-2015.</li> <li>4_cities_lan.df.rds: City and landslide data for these 1,085 landslides intersected with settlement footprints from 1985-2015.</li> <li>7_zoib_nested_pop_pressure_model: brms statistical model file.</li> <li>ghs_stat_fua_comb.gpkg: Urban center data from the GHSL - Global Human Settlement Layer.</li> </ul> <p>Population estimation files: wpop_files&nbsp;</p> <ul> <li>2015_ls_pop.csv: Estimates of population on landslides using the 100x100 population density grid from the WorldPop dataset.</li> </ul> <p>Steepness and elevation analysis derived from SRTM and processed in Google Earth Engine for landslides, mountain regions and urban centers in cities: gee_files</p> <ul> <li>1_mr_met.csv: Elevation and mean slope for mountain region areas in cities</li> <li>2_uc_met.csv: Elevation and mean slope for urban centers (defined by in the GHSL data) in cities</li> </ul> <p>Standard deviation analysis derived from SRTM and processed in Google Earth Engine for mean slope in mountain regions and urban centers in cities: gee_sd</p> <ul> <li>gee_mr.csv: Mean slope and standard deviation for mountain region</li> <li>gee_uc.csv: Mean slope and standard deviation for urban centers (defined by in the GHSL data)</li> </ul> <p>Summary overview of cities with large landslides used in this study: cities_summary.csv</p> <p>Variables in this file are:</p> <ul> <li> <ul> <li>eFUA_name := City name</li> <li>cntry := Country name</li> <li>cntry_ISO := Country ISO code</li> <li>fua_area := Estimate of total metropolitan city area (km^2)</li> <li>ls_total_area := Total large landslide areas within city (m^2)</li> <li>ls_pct_fua_area := Mapped large landslides\n(% of the metropolitan city area)</li> <li>pop_FUA_2015 :=&nbsp; Metropolitan population estimate (2015)</li> <li>pop_ls := Estimate of total number of people on large landslides</li> </ul> </li> </ul>