diff --git a/R-script/run_3b_decompose_regional/ffs_pirecec_demo_loc_region_2020pop_1990utci_par.R b/R-script/run_3b_decompose_regional/ffs_pirecec_demo_loc_region_2020pop_1990utci_par.R index 4ba2f3a..241bdfa 100644 --- a/R-script/run_3b_decompose_regional/ffs_pirecec_demo_loc_region_2020pop_1990utci_par.R +++ b/R-script/run_3b_decompose_regional/ffs_pirecec_demo_loc_region_2020pop_1990utci_par.R @@ -63,7 +63,7 @@ st_file_key_popgrp <- "df_key_demo_china_census_2020.csv" # 5.2 Name of the loc key file: st_file_key_loc <- "df_key_loc_china_coord2county_2020.csv" # 5.3 Name of the higher-loc-key file: -st_file_key_loc_agg <- "region_df_key_loc_china_county2province_2020.csv" +st_file_key_loc_agg <- "df_key_loc_china_county2province_2020.csv" # 6. Variable names for population groups ----- str_prefix_demo <- "popgrp" diff --git a/R-script/run_4a_mean_child_all24_by_region/ffs_pirecec_demo_loc_region_2020_par.R b/R-script/run_4a_mean_child_all24_by_region/ffs_pirecec_demo_loc_region_2020_par.R index 6f4ae52..47df55f 100644 --- a/R-script/run_4a_mean_child_all24_by_region/ffs_pirecec_demo_loc_region_2020_par.R +++ b/R-script/run_4a_mean_child_all24_by_region/ffs_pirecec_demo_loc_region_2020_par.R @@ -63,7 +63,7 @@ st_file_key_popgrp <- "df_key_demo_china_census_2020.csv" # 5.2 Name of the loc key file: st_file_key_loc <- "df_key_loc_china_coord2county_2020.csv" # 5.3 Name of the higher-loc-key file: -st_file_key_loc_agg <- "region_df_key_loc_china_county2province_2020.csv" +st_file_key_loc_agg <- "df_key_loc_china_county2province_2020.csv" # 6. Variable names for population groups ----- str_prefix_demo <- "popgrp" diff --git a/data-res/dmloc_90pop20utciregion_share_gr_age_group_m3is0_14_region_name.csv b/data-res/dmloc_90pop20utciregion_share_gr_age_group_m3is0_14_region_name.csv index 6521112..d89b87a 100644 --- a/data-res/dmloc_90pop20utciregion_share_gr_age_group_m3is0_14_region_name.csv +++ b/data-res/dmloc_90pop20utciregion_share_gr_age_group_m3is0_14_region_name.csv @@ -1,325 +1,325 @@ stats_type,popgrp,age_group_m3,region_name,popgrp_mass,expo_grp_mean,expo_overall_mean,fl_temp_bound -within-group,1,0_14,Central,0.08438577514210938,0.9999574785440912,0.9998738512471184,-40 -within-group,4,0_14,Eastern,0.09287024684892572,0.9999024648595404,0.9998738512471184,-40 -within-group,7,0_14,Northeastern,0.02256485520826382,0.9992021030690454,0.9998738512471184,-40 -within-group,10,0_14,Western,0.07674368446870734,0.9999820408785056,0.9998738512471184,-40 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506162f..bde7cb0 100644 --- a/data-res/dmloc_90region_share_gr_age_group_m3is0_14_region_name.csv +++ b/data-res/dmloc_90region_share_gr_age_group_m3is0_14_region_name.csv @@ -1,325 +1,325 @@ stats_type,popgrp,age_group_m3,region_name,popgrp_mass,expo_grp_mean,expo_overall_mean,fl_temp_bound -within-group,1,0_14,Central,0.08438577514210938,0.9999859198993478,0.9992124490734716,-40 -within-group,4,0_14,Eastern,0.09287024684892572,0.99989144274154,0.9992124490734716,-40 -within-group,7,0_14,Northeastern,0.02256485520826382,0.9915665187051248,0.9992124490734716,-40 -within-group,10,0_14,Western,0.07674368446870734,0.99995963258331,0.9992124490734716,-40 -within-group,1,0_14,Central,0.08438577514210938,0.9999768679625848,0.998936402253408,-39 -within-group,4,0_14,Eastern,0.09287024684892572,0.9998631521672818,0.998936402253408,-39 -within-group,7,0_14,Northeastern,0.02256485520826382,0.9886039073729916,0.998936402253408,-39 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