Large Landslide Exposure in Metropolitan Cities

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: Main directory files: results_fpath Code containing statisticla analysis and ploting: 20240927_code.Rmd 1_melted_lan_df.rds: Landslide time series database covering 1,085 landslides intersected with settlement footprints from 1985-2015. 4_cities_lan.df.rds: City and landslide data for these 1,085 landslides intersected with settlement footprints from 1985-2015. 7_zoib_nested_pop_pressure_model: brms statistical model file. ghs_stat_fua_comb.gpkg: Urban center data from the GHSL - Global Human Settlement Layer. Population estimation files: wpop_files 2015_ls_pop.csv: Estimates of population on landslides using the 100x100 population density grid from the WorldPop dataset. Steepness and elevation analysis derived from SRTM and processed in Google Earth Engine for landslides, mountain regions and urban centers in cities: gee_files 1_mr_met.csv: Elevation and mean slope for mountain region areas in cities 2_uc_met.csv: Elevation and mean slope for urban centers (defined by in the GHSL data) in cities 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 gee_mr.csv: Mean slope and standard deviation for mountain region gee_uc.csv: Mean slope and standard deviation for urban centers (defined by in the GHSL data) Summary overview of cities with large landslides used in this study: cities_summary.csv Variables in this file are: eFUA_name := City name cntry := Country name cntry_ISO := Country ISO code fua_area := Estimate of total metropolitan city area (km^2) ls_total_area := Total large landslide areas within city (m^2) ls_pct_fua_area := Mapped large landslides\n(% of the metropolitan city area) pop_FUA_2015 := Metropolitan population estimate (2015) pop_ls := Estimate of total number of people on large landslides本数据集包含.Rmd、.Rproj、.rds格式的文件，可在搭配R Studio图形用户界面的R统计编程软件中直接使用（下载地址：https://posit.co/download/rstudio-desktop/）。请将该文件夹结构完整复制至单个目录中，并遵照.Rmd文件内的操作说明执行。下述为所有文件与数据集的列表及说明： 主目录文件：results_fpath 包含统计分析与绘图代码的文件：20240927_code.Rmd 1_melted_lan_df.rds：涵盖1985年至2015年间1085处滑坡与居民地覆盖范围相交数据的滑坡时间序列数据库。 4_cities_lan.df.rds：对应上述1085处1985-2015年间与居民地覆盖范围相交的滑坡的城市与滑坡数据集。 7_zoib_nested_pop_pressure_model：brms统计模型文件。 ghs_stat_fua_comb.gpkg：来自全球人类住区图层（Global Human Settlement Layer, GHSL）的城市中心数据集。 人口估算文件：wpop_files 2015_ls_pop.csv：基于WorldPop数据集的100×100人口密度网格，估算得到的滑坡区域人口数据。 基于航天飞机雷达地形测绘任务（Shuttle Radar Topography Mission, SRTM）数据、经谷歌地球引擎（Google Earth Engine）处理所得的城市滑坡、山区与城市中心的坡度与高程分析数据集：gee_files 1_mr_met.csv：城市山区的高程与平均坡度数据。 2_uc_met.csv：城市中由GHSL数据定义的城市中心的高程与平均坡度数据。 基于SRTM数据、经谷歌地球引擎处理所得的城市山区与城市中心平均坡度标准差分析数据集：gee_sd gee_mr.csv：山区的平均坡度与标准差数据。 gee_uc.csv：由GHSL数据定义的城市中心的平均坡度与标准差数据。 本研究所用大型滑坡对应城市的综合概况数据集：cities_summary.csv 该文件包含的变量如下： eFUA_name：城市名称 cntry：国家名称 cntry_ISO：国家ISO代码 fua_area：城市都市区总面积估算值（单位：平方千米，km²） ls_total_area：城市内大型滑坡总面积（单位：平方米，m²） ls_pct_fua_area：已测绘大型滑坡占城市都市区面积的百分比 pop_FUA_2015：2015年都市区人口估算值 pop_ls：大型滑坡区域总人口估算数