Title
load_gps_covars.RdDescription
Usage
load_gps_covars(
fpath,
factor_vars = c("DHSCLUST", "DHSID", "DHSCC", "GPS_Dataset")
)Examples
ex_data <- here("data", "DHS Data", "DHS 1997", "GPS Data", "MDGC32FL") %>%
list.files(full.names = TRUE) %>%
grep(pattern = "csv$", value = TRUE)
load_gps_covars(ex_data) %>%
skimr::skim()
#> Rows: 269 Columns: 131
#> ── Column specification ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (4): DHSID, GPS_Dataset, DHSCC, SurveyID
#> dbl (127): DHSYEAR, DHSCLUST, All_Population_Count_2005, All_Population_Coun...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> ── Data Summary ────────────────────────
#> Values
#> Name Piped data
#> Number of rows 269
#> Number of columns 131
#> _______________________
#> Column type frequency:
#> factor 5
#> numeric 126
#> ________________________
#> Group variables None
#>
#> ── Variable type: factor ───────────────────────────────────────────────────────
#> skim_variable n_missing complete_rate ordered n_unique
#> 1 DHSID 0 1 FALSE 269
#> 2 GPS_Dataset 0 1 FALSE 1
#> 3 DHSCC 0 1 FALSE 1
#> 4 DHSCLUST 0 1 FALSE 269
#> 5 SurveyID 0 1 FALSE 1
#> top_counts
#> 1 MD1: 1, MD1: 1, MD1: 1, MD1: 1
#> 2 MDG: 269
#> 3 MD: 269
#> 4 1: 1, 2: 1, 3: 1, 4: 1
#> 5 MD1: 269
#>
#> ── Variable type: numeric ──────────────────────────────────────────────────────
#> skim_variable n_missing complete_rate mean
#> 1 DHSYEAR 0 1 1997
#> 2 All_Population_Count_2005 1 0.996 62625.
#> 3 All_Population_Count_2010 1 0.996 72175.
#> 4 All_Population_Count_2015 1 0.996 82981.
#> 5 Annual_Precipitation_2000 28 0.896 126.
#> 6 Annual_Precipitation_2005 28 0.896 135.
#> 7 Annual_Precipitation_2010 28 0.896 124.
#> 8 Annual_Precipitation_2015 28 0.896 122.
#> 9 Aridity_2000 28 0.896 40.4
#> 10 Aridity_2005 28 0.896 42.4
#> 11 Aridity_2010 28 0.896 37.1
#> 12 Aridity_2015 28 0.896 36.6
#> 13 BUILT_Population_1990 1 0.996 0.116
#> 14 BUILT_Population_2000 1 0.996 0.128
#> 15 BUILT_Population_2014 1 0.996 0.140
#> 16 Day_Land_Surface_Temp_2000 3 0.989 28.7
#> 17 Day_Land_Surface_Temp_2005 3 0.989 28.0
#> 18 Day_Land_Surface_Temp_2010 3 0.989 29.0
#> 19 Day_Land_Surface_Temp_2015 3 0.989 29.0
#> 20 Diurnal_Temperature_Range_2000 28 0.896 9.10
#> 21 Diurnal_Temperature_Range_2005 28 0.896 9.10
#> 22 Diurnal_Temperature_Range_2010 28 0.896 9.10
#> 23 Diurnal_Temperature_Range_2015 28 0.896 9.10
#> 24 Drought_Episodes 139 0.483 4.95
#> 25 Enhanced_Vegetation_Index_1985 3 0.989 2784.
#> 26 Enhanced_Vegetation_Index_1990 3 0.989 2811.
#> 27 Enhanced_Vegetation_Index_1995 3 0.989 2889.
#> 28 Enhanced_Vegetation_Index_2000 3 0.989 2930.
#> 29 Enhanced_Vegetation_Index_2005 3 0.989 3192.
#> 30 Enhanced_Vegetation_Index_2010 3 0.989 3111.
#> 31 Enhanced_Vegetation_Index_2015 3 0.989 3046.
#> 32 Frost_Days_2000 28 0.896 0.000909
#> 33 Frost_Days_2005 28 0.896 0.00115
#> 34 Frost_Days_2010 28 0.896 0.000114
#> 35 Frost_Days_2015 28 0.896 0
#> 36 Global_Human_Footprint 2 0.993 39.4
#> 37 Gross_Cell_Production 2 0.993 840.
#> 38 Growing_Season_Length 10 0.963 11.2
#> 39 Irrigation 8 0.970 7.68
#> 40 ITN_Coverage_2005 5 0.981 0.112
#> 41 ITN_Coverage_2010 5 0.981 0.545
#> 42 ITN_Coverage_2015 5 0.981 0.756
#> 43 Land_Surface_Temperature_2000 3 0.989 22.2
#> 44 Land_Surface_Temperature_2005 3 0.989 22.2
#> 45 Land_Surface_Temperature_2010 3 0.989 23.0
#> 46 Land_Surface_Temperature_2015 3 0.989 23.1
#> 47 Livestock_Cattle 1 0.996 18.0
#> 48 Livestock_Chickens 1 0.996 281.
#> 49 Livestock_Goats 1 0.996 5.83
#> 50 Livestock_Pigs 1 0.996 6.34
#> 51 Livestock_Sheep 1 0.996 2.98
#> 52 Malaria_Incidence_2000 5 0.981 0.226
#> 53 Malaria_Incidence_2005 5 0.981 0.236
#> 54 Malaria_Incidence_2010 5 0.981 0.0921
#> 55 Malaria_Incidence_2015 5 0.981 0.0702
#> 56 Malaria_Prevalence_2000 5 0.981 0.185
#> 57 Malaria_Prevalence_2005 5 0.981 0.191
#> 58 Malaria_Prevalence_2010 5 0.981 0.0555
#> 59 Malaria_Prevalence_2015 5 0.981 0.0404
#> 60 Maximum_Temperature_2000 28 0.896 25.8
#> 61 Maximum_Temperature_2005 28 0.896 26.0
#> 62 Maximum_Temperature_2010 28 0.896 26.5
#> 63 Maximum_Temperature_2015 28 0.896 26.4
#> 64 Mean_Temperature_2000 28 0.896 21.2
#> 65 Mean_Temperature_2005 28 0.896 21.5
#> 66 Mean_Temperature_2010 28 0.896 21.9
#> 67 Mean_Temperature_2015 28 0.896 21.8
#> 68 Minimum_Temperature_2000 28 0.896 16.7
#> 69 Minimum_Temperature_2005 28 0.896 16.9
#> 70 Minimum_Temperature_2010 28 0.896 17.4
#> 71 Minimum_Temperature_2015 28 0.896 17.3
#> 72 Nightlights_Composite 1 0.996 1.73
#> 73 Night_Land_Surface_Temp2010 3 0.989 17.1
#> 74 Night_Land_Surface_Temp2015 3 0.989 17.1
#> 75 Night_Land_Surface_Temp_2000 3 0.989 15.6
#> 76 Night_Land_Surface_Temp_2005 3 0.989 16.5
#> 77 Night_Land_Surface_Temp_2010 3 0.989 17.1
#> 78 Night_Land_Surface_Temp_2015 3 0.989 17.1
#> 79 PET_2000 28 0.896 3.20
#> 80 PET_2005 28 0.896 3.27
#> 81 PET_2010 28 0.896 3.38
#> 82 PET_2015 28 0.896 3.39
#> 83 Proximity_to_National_Borders 1 0.996 88933.
#> 84 Proximity_to_Protected_Areas 1 0.996 56701.
#> 85 Proximity_to_Water 1 0.996 54441.
#> 86 Rainfall_1985 7 0.974 1798.
#> 87 Rainfall_1990 7 0.974 1356.
#> 88 Rainfall_1995 7 0.974 1633.
#> 89 Rainfall_2000 7 0.974 1489.
#> 90 Rainfall_2005 7 0.974 1581.
#> 91 Rainfall_2010 7 0.974 1507.
#> 92 Rainfall_2015 7 0.974 1710.
#> 93 Slope 1 0.996 1.32
#> 94 SMOD_Population_1990 1 0.996 0.896
#> 95 SMOD_Population_2000 1 0.996 0.892
#> 96 SMOD_Population_2015 1 0.996 0.910
#> 97 Temperature_April 8 0.970 22.9
#> 98 Temperature_August 8 0.970 18.8
#> 99 Temperature_December 8 0.970 24.0
#> 100 Temperature_February 8 0.970 24.2
#> 101 Temperature_January 8 0.970 24.2
#> 102 Temperature_July 8 0.970 18.3
#> 103 Temperature_June 8 0.970 19.1
#> 104 Temperature_March 8 0.970 23.8
#> 105 Temperature_May 8 0.970 20.9
#> 106 Temperature_November 8 0.970 23.4
#> 107 Temperature_October 8 0.970 21.9
#> 108 Temperature_September 8 0.970 20.1
#> 109 Travel_Times_2000 1 0.996 180.
#> 110 Travel_Times_2015 1 0.996 280.
#> 111 U5_Population_2000 1 0.996 340.
#> 112 U5_Population_2005 1 0.996 395.
#> 113 U5_Population_2010 1 0.996 455.
#> 114 U5_Population_2015 1 0.996 524.
#> 115 UN_Population_Count_2000 1 0.996 37665.
#> 116 UN_Population_Count_2005 1 0.996 45759.
#> 117 UN_Population_Count_2010 1 0.996 54981.
#> 118 UN_Population_Count_2015 1 0.996 65692.
#> 119 UN_Population_Density_2000 1 0.996 1099.
#> 120 UN_Population_Density_2005 1 0.996 1351.
#> 121 UN_Population_Density_2010 1 0.996 1635.
#> 122 UN_Population_Density_2015 1 0.996 1961.
#> 123 Wet_Days_2000 28 0.896 13.3
#> 124 Wet_Days_2005 28 0.896 14.0
#> 125 Wet_Days_2010 28 0.896 12.4
#> 126 Wet_Days_2015 28 0.896 12.1
#> sd p0 p25 p50 p75 p100
#> 1 0 1997 2.00e+3 1997 1997 1997
#> 2 132494. 33.2 5.43e+3 16297. 59803. 1387208.
#> 3 152698. 38.3 6.25e+3 18783. 68923. 1598746.
#> 4 175558. 44.0 7.19e+3 21595. 79241. 1838097.
#> 5 37.9 29.5 1.07e+2 132. 146. 221.
#> 6 40.6 35.3 1.10e+2 132. 162. 226.
#> 7 48.2 18.9 9.10e+1 107. 151. 231.
#> 8 35.9 36.8 1.02e+2 117. 136. 230.
#> 9 13.5 7.78 3.25e+1 43.6 46.1 70.4
#> 10 13.9 9.10 3.47e+1 45.3 51.3 69.7
#> 11 14.1 4.84 2.95e+1 35.6 45.8 67.7
#> 12 11.3 9.34 3.09e+1 36.8 40.7 67.1
#> 13 0.221 0 0 0.0000707 0.0533 0.824
#> 14 0.241 0 2.52e-6 0.000107 0.0671 0.855
#> 15 0.262 0 4.43e-6 0.000133 0.0774 0.893
#> 16 3.57 20.7 2.62e+1 27.4 31.4 36.9
#> 17 3.28 21.2 2.57e+1 26.4 30.8 35.2
#> 18 3.39 22.1 2.66e+1 27.9 31.6 37.7
#> 19 3.10 22.7 2.68e+1 28.0 31.6 37.6
#> 20 0.759 6.82 8.60e+0 9.13 9.43 11.9
#> 21 0.759 6.82 8.60e+0 9.13 9.43 11.9
#> 22 0.759 6.82 8.60e+0 9.13 9.43 11.9
#> 23 0.759 6.82 8.60e+0 9.13 9.43 11.9
#> 24 2.91 1 2 e+0 5 8 10
#> 25 924. 144 2.15e+3 2502. 3293. 5015
#> 26 1000. 144 2.10e+3 2480. 3387. 5532
#> 27 985. 141 2.20e+3 2598. 3471. 5208
#> 28 970. 123 2.24e+3 2648. 3530. 5156
#> 29 1197. 95 2.32e+3 2794. 4045. 5862.
#> 30 1166. 113 2.21e+3 2774. 3960. 5738
#> 31 1196. 113 2.11e+3 2667. 3905. 5617.
#> 32 0.00344 0 0 0 0 0.0158
#> 33 0.00428 0 0 0 0 0.0208
#> 34 0.000489 0 0 0 0 0.00250
#> 35 0 0 0 0 0 0
#> 36 19.8 11.1 2.63e+1 30.8 46.4 87
#> 37 118. 682. 7.42e+2 809. 993. 1009.
#> 38 2.85 4 9 e+0 11 14 15
#> 39 9.49 0 5.13e-2 3.10 16.0 58.7
#> 40 0.108 0 0 0.1000 0.212 0.309
#> 41 0.265 0.149 2.28e-1 0.661 0.781 0.868
#> 42 0.288 0.299 4.32e-1 0.970 1 1
#> 43 3.28 16.4 1.99e+1 20.9 25.5 28.4
#> 44 3.05 17.2 2.01e+1 21.0 25.1 28.6
#> 45 3.06 17.8 2.10e+1 21.8 26.2 29.1
#> 46 2.94 17.9 2.11e+1 21.9 26.0 29.3
#> 47 17.5 1.13 7.35e+0 14.1 23.5 190.
#> 48 484. 0.794 3.08e+1 73.5 226. 2217.
#> 49 73.7 0 0 0.00976 0.484 1206.
#> 50 8.71 0 7.12e-1 2.29 9.85 53.5
#> 51 29.9 0 3.49e-4 0.190 1.09 488.
#> 52 0.151 0.0189 5.51e-2 0.287 0.341 0.484
#> 53 0.102 0.0924 1.26e-1 0.252 0.312 0.443
#> 54 0.0509 0.0196 5.49e-2 0.0727 0.121 0.291
#> 55 0.0442 0.0249 3.35e-2 0.0551 0.0946 0.236
#> 56 0.139 0.00946 2.75e-2 0.229 0.291 0.474
#> 57 0.104 0.0511 7.95e-2 0.202 0.260 0.454
#> 58 0.0402 0.00960 2.90e-2 0.0401 0.0720 0.253
#> 59 0.0302 0.0122 1.78e-2 0.0289 0.0546 0.177
#> 60 2.86 21.1 2.31e+1 25.6 27.7 31.4
#> 61 2.84 21.3 2.34e+1 26.0 27.9 31.7
#> 62 2.81 21.8 2.39e+1 26.4 28.4 32.0
#> 63 2.81 21.7 2.38e+1 26.3 28.3 31.9
#> 64 2.80 16.8 1.85e+1 21.1 23.5 26.5
#> 65 2.78 17.0 1.88e+1 21.4 23.6 26.9
#> 66 2.76 17.5 1.92e+1 21.9 24.2 27.2
#> 67 2.75 17.4 1.91e+1 21.8 24.0 27.1
#> 68 2.78 12.6 1.39e+1 16.6 19.0 21.8
#> 69 2.77 12.8 1.42e+1 16.8 19.3 22.1
#> 70 2.75 13.3 1.47e+1 17.2 19.8 22.4
#> 71 2.75 13.2 1.46e+1 17.1 19.7 22.3
#> 72 3.27 0 0 0 1.43 11.3
#> 73 3.23 10.1 1.44e+1 16.8 19.4 23.4
#> 74 3.23 9.83 1.46e+1 16.7 19.3 23.5
#> 75 3.53 8.80 1.28e+1 15.5 18.6 22.2
#> 76 3.20 9.50 1.40e+1 16.2 18.5 23.0
#> 77 3.23 10.1 1.44e+1 16.8 19.4 23.4
#> 78 3.23 9.83 1.46e+1 16.7 19.3 23.5
#> 79 0.450 2.73 2.87e+0 3.08 3.47 4.59
#> 80 0.458 2.79 2.92e+0 3.15 3.54 4.62
#> 81 0.468 2.85 3 e+0 3.27 3.66 4.78
#> 82 0.470 2.85 3 e+0 3.28 3.60 4.73
#> 83 67271. 317. 2.24e+4 87766. 159231. 230388.
#> 84 37272. 0 2.62e+4 56481. 79315. 169208.
#> 85 39803. 0 1.69e+4 61912. 74938. 180764.
#> 86 689. 227 1.55e+3 1702 2155. 3977
#> 87 572. 314. 1.04e+3 1164. 1666. 3521
#> 88 606. 278 1.37e+3 1510. 1946. 3848
#> 89 523. 393 1.26e+3 1378 1746. 3161
#> 90 560. 351 1.29e+3 1464 1849. 3380
#> 91 627. 235 1.17e+3 1294. 1781. 3483
#> 92 618. 414 1.48e+3 1561. 1983. 4471.
#> 93 1.14 0.0279 4.51e-1 0.830 1.95 5.30
#> 94 1.14 0 0 0 1 3
#> 95 1.19 0 0 0 2 3
#> 96 1.24 0 0 0 2 3
#> 97 3.09 16.2 2.01e+1 23.9 25.3 28.4
#> 98 3.58 12.1 1.54e+1 19.6 21.2 26.0
#> 99 2.96 17.2 2.12e+1 24.8 26.5 28.9
#> 100 2.84 17.3 2.15e+1 25.0 26.8 28.2
#> 101 2.83 17.5 2.15e+1 25.1 26.7 28.1
#> 102 3.56 11.5 1.50e+1 18.6 20.9 25.5
#> 103 3.47 12.1 1.60e+1 19.4 21.7 25.8
#> 104 2.93 17.2 2.11e+1 24.7 26.3 28.5
#> 105 3.31 13.9 1.80e+1 21.2 23.4 27.3
#> 106 3.07 16.9 2.07e+1 23.9 25.9 29.6
#> 107 3.23 15.6 1.90e+1 22.2 24.4 28.9
#> 108 3.47 13.6 1.68e+1 20.5 22.4 27.1
#> 109 180. 1.44 4.23e+1 147. 252. 1288.
#> 110 308. 0 1.25e+1 156. 461. 1167.
#> 111 644. 0.0638 3.52e+0 8.75 323. 2735.
#> 112 748. 0.0742 4.09e+0 10.2 375. 3177.
#> 113 862. 0.0855 4.71e+0 11.7 433. 3662.
#> 114 992. 0.0983 5.42e+0 13.5 497. 4210.
#> 115 101122. 53.7 2.59e+3 11531. 43720. 889611.
#> 116 127106. 74.2 3.21e+3 13712. 48352. 1114080
#> 117 157798. 86.3 3.93e+3 15695. 49745. 1374630.
#> 118 194628. 91.0 4.89e+3 18501. 51867. 1680598.
#> 119 2211. 2.54 2.39e+1 69.0 266. 10036.
#> 120 2707. 2.64 2.82e+1 79.4 335. 12247.
#> 121 3266. 2.69 3.30e+1 83.9 414. 14844.
#> 122 3911. 2.69 3.74e+1 92.2 505. 17815.
#> 123 2.85 6.65 1.18e+1 13.1 14.5 20.1
#> 124 3.76 4.91 1.20e+1 13.3 16.4 22.4
#> 125 4.23 4.38 1.02e+1 10.8 14.3 21.6
#> 126 4.02 4.38 9.93e+0 10.6 13.7 23.7
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