rm(list = ls())
library(rspecan)
sethere()
data_name <- "ecosis_pepper"
data_longname <- "Fresh and Dry Pepper Leaf Spectra with Associated Potassium and Nitrogen Measurements"
ecosis_id <- "a67925bf-f715-449a-939c-3cb000fb7889"
ecosis_file <- sprintf(
"https://ecosis.org/package/export?package_id=%s&metadata=true",
ecosis_id
)
message("Downloading data...")
dat_raw <- read_csv(ecosis_file)
message("Download complete!")
dat_full <- dat_raw %>%
group_by(PlantNumber) %>%
mutate(spectra_id = sprintf("%s_%02d_%02d", data_name, PlantNumber, row_number())) %>%
ungroup()
############################################################
# Process spectra
############################################################
wave_rxp <- "^[[:digit:]]+$"
spectra_colname <- "spectra_id"
spectra <- dat2specmat(dat_full, spectra_colname, wave_rxp)
str(spectra)
wl <- getwl(spectra)
if (FALSE) {
matplot(wl, spectra, type = "l")
}
wl_prospect <- wl >= 400 & wl <= 2500
wl_bad <- FALSE
wl_keep <- wl_prospect & !wl_bad
data_wl_inds <- which(wl_keep)
wl_kept <- wl[wl_keep]
prospect_wl_inds <- which(prospect_wl %in% wl_kept)
############################################################
# Process metadata
############################################################
dat_sub <- dat_full %>%
select(-matches(wave_rxp))
dat <- dat_sub %>%
transmute(
data_name = !!data_name,
spectra_id = spectra_id,
USDA_code = "CAAN4",
spectra_type = recode(
Measurement_Type,
"Fresh Transmittance" = "transmittance",
"Fresh Reflectance" = "reflectance",
"Fresh Absorbance" = "absorbance",
"Dry Reflectance" = "reflectance"
),
fresh_dry = case_when(
grepl("^Fresh", Measurement_Type) ~ "fresh",
grepl("^Dry", Measurement_Type) ~ "dry",
TRUE ~ NA_character_
),
Nmass = `Leaf nitrogen content per leaf dry mass (% DW)`,
Nmass_unit = "%",
Kmass = `Leaf potassium content per leaf dry mass (% DW)`,
Kmass_unit = "%"
)
############################################################
# Store results
############################################################
store_path <- file.path(processed_dir, paste0(data_name, ".rds"))
datalist <- list(
data_name = data_name,
data_longname = data_longname,
data_filename = ecosis_file,
self_filename = store_path,
metadata = dat,
spectra = spectra,
data_wl_inds = data_wl_inds,
prospect_wl_inds = prospect_wl_inds
)
check_datalist(datalist)
submit_df <- dat %>%
filter(spectra_type == "reflectance") %>%
select(data_name, spectra_id)
saveRDS(datalist, store_path)
write_submit_file(submit_df, data_name)
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