Mean synthetic relative fieldwork cost per EA by region for bfa_eas. Used for demonstrating optimal (cost-variance) allocation. The values are a planning index, not monetary estimates or official costs.
Format
A tibble with 13 rows and 2 columns:
- region
Factor. Region name
- cost
Numeric. Mean relative fieldwork cost index per EA
Source
Aggregated from the synthetic fieldwork_cost variable in
bfa_eas.
Examples
# View the cost data
bfa_eas_cost
#> # A tibble: 13 × 2
#> region cost
#> <fct> <dbl>
#> 1 Boucle du Mouhoun 175
#> 2 Cascades 182
#> 3 Centre 104
#> 4 Centre-Est 139
#> 5 Centre-Nord 144
#> 6 Centre-Ouest 154
#> 7 Centre-Sud 152
#> 8 Est 177
#> 9 Hauts-Bassins 156
#> 10 Nord 144
#> 11 Plateau-Central 132
#> 12 Sahel 196
#> 13 Sud-Ouest 172
# Optimal allocation minimizes variance for fixed total cost
sampling_design() |>
stratify_by(region, alloc = "optimal",
variance = bfa_eas_variance,
cost = bfa_eas_cost) |>
draw(n = 200) |>
execute(bfa_eas, seed = 1)
#> # A tbl_sample: 200 × 18
#> # Sampling: 1 stage | 200/44,570 units
#> # Weights: 222.85 [194.4, 243.76]
#> ea_id region province commune urban_rural population households area_km2
#> * <int> <fct> <fct> <fct> <fct> <int> <int> <dbl>
#> 1 9648 Boucle du … Banwa Sanaba Rural 279 35 8.37
#> 2 11547 Boucle du … Sourou Toéni Rural 49 7 21.4
#> 3 41824 Boucle du … Kossi Dokui Rural 75 10 15.8
#> 4 11012 Boucle du … Banwa Tansila Rural 592 71 0.95
#> 5 32308 Boucle du … Sourou Lanfiè… Rural 57 8 9.49
#> 6 7017 Boucle du … Kossi Madouba Rural 599 74 0.74
#> 7 36700 Boucle du … Bale Fara Rural 402 59 6.36
#> 8 11611 Boucle du … Nayala Yaba Rural 111 15 8.97
#> 9 8342 Boucle du … Mouhoun Ouarko… Rural 94 13 8.1
#> 10 11626 Boucle du … Nayala Yaba Rural 56 7 8.31
#> # ℹ 190 more rows
#> # ℹ 10 more variables: pop_density <dbl>, longitude <dbl>, latitude <dbl>,
#> # remoteness <fct>, fieldwork_cost <int>, .weight <dbl>, .sample_id <int>,
#> # .stage <int>, .weight_1 <dbl>, .fpc_1 <dbl>