library(potentiomap)
data("synthetic_wells")
data("synthetic_candidate_sites")
p <- ps_make_points(synthetic_wells[1:12, ], "x", "y", "gw_elevation",
"well_id", "EPSG:26916")thin <- ps_network_thinning(p, retain = 0.75, repeats = 2,
method = "IDW", grid_res = 400, seed = 3)
thin$summary## planned_runs unique_retained_sets duplicate_retained_sets successful_runs
## 1 2 1 1 2
candidates <- terra::vect(subset(synthetic_candidate_sites, !excluded),
geom = c("x", "y"), crs = "EPSG:26916")
design <- ps_candidate_network(p, candidates, n_select = 2)
design$selected_sequence## sequence candidate_id information_gain cost gain_per_unit_cost
## 1 1 candidate_0004 1095.677 NA NA
## 2 2 candidate_0002 1083.300 NA NA
## objective
## 1 spatial_coverage
## 2 spatial_coverage
Influence and thinning are conditional on the observed network and method. Candidate ranking is sequential and greedy, not globally optimal or a claim that a location is drillable.