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library(potentiomap)
data("synthetic_anisotropic_points")
p <- ps_make_points(synthetic_anisotropic_points, "x", "y", "head",
"point_id", "EPSG:26916")v <- suppressWarnings(ps_variogram(p, directions = c(0, 45, 90, 135)))
head(v$empirical[, c("np", "dist", "gamma", "dir.hor")])## np dist gamma dir.hor
## 1 2 29.47621 2.432955e-05 0
## 2 1 146.87500 1.444485e-02 0
## 3 3 221.59240 3.313863e-03 0
## 4 4 282.13430 4.181855e-02 0
## 5 6 388.00746 3.936191e-02 0
## 6 6 462.37606 8.419526e-02 0models <- suppressWarnings(ps_variogram_compare(v, c("Sph", "Exp")))
models$ranking[, c("model", "weighted_sse", "singular")]## model weighted_sse singular
## 1 Sph NA NA
## 2 Exp NA NA## major_continuity_direction minor_to_major_range_ratio usable_directions
## 1 NA NA 0
## angle_convention
## 1 clockwise from North; modulo 180Directional evidence is exploratory and is not applied automatically. External drift must be supplied as scientifically defensible covariates available over the full prediction domain; association does not establish causality.
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