Nothing
## ------------------------------------------------------------------------
library(marinespeed)
# set a data directory, preferably something different from tempdir to avoid
# unnecessary downloads for every R session
options(marinespeed_datadir = tempdir())
# list all species
species <- list_species()
## ---- echo = FALSE-------------------------------------------------------
knitr::kable(species[1:5,], row.names = FALSE)
## ------------------------------------------------------------------------
# all species information
info <- species_info()
colnames(info)
## ---- cache = TRUE, eval=FALSE-------------------------------------------
# get_occ_count <- function(speciesname, occ) {
# nrow(occ)
# }
# record_counts <- lapply_species(get_occ_count)
# sum(unlist(record_counts))
## ---- echo=FALSE---------------------------------------------------------
868151
## ---- echo=FALSE---------------------------------------------------------
## plot first 2 disc folds for the first 2 species (blue=trainig, red=test)
plot_occurrences <- function(speciesname, data, fold) {
fname <- paste0(sub(" ", "_", speciesname), fold, ".jpeg")
jpeg(filename = fname)
title <- paste0(speciesname, " (fold = ", fold, ")")
plot(data$occurrence_train[,c("longitude", "latitude")], pch=20, col="blue",
main = title)
points(data$occurrence_test[,c("longitude", "latitude")], pch=20, col="red")
dev.off()
}
x <- lapply_kfold_species(plot_occurrences, species=species[1:2,],
fold_type = "disc", k = 1:2)
## ---- eval=FALSE, echo=TRUE----------------------------------------------
# ## plot first 2 disc folds for the first 2 species (blue=trainig, red=test)
# plot_occurrences <- function(speciesname, data, fold) {
# title <- paste0(speciesname, " (fold = ", fold, ")")
# plot(data$occurrence_train[,c("longitude", "latitude")], pch=20, col="blue",
# main = title)
# points(data$occurrence_test[,c("longitude", "latitude")], pch=20, col="red")
# }
#
# lapply_kfold_species(plot_occurrences, species=species[1:2,],
# fold_type = "disc", k = 1:2)
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