Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## -----------------------------------------------------------------------------
library(corella)
library(tibble)
df <- tibble::tibble(
name = c("Eolophus roseicapilla", "Eolophus roseicapilla"),
latitude = c(-35.310, -35.273),
longitude = c(149.125, 149.133),
place = c("a big tree", "an open field")
)
df
## -----------------------------------------------------------------------------
df |>
set_coordinates(decimalLatitude = place, # wrong column
decimalLongitude = longitude)
## ----term-table-output, out.extra='max-height:200px;', class.output='output-scroll'----
library(gt)
library(dplyr)
object <- darwin_core_terms |>
select(set_function, term) |>
filter(!is.na(set_function)) |>
arrange(match(term, c("basisOfRecord", "occurrenceID", "scientificName",
"occurrenceID", "scientificName", "decimalLatitude",
"decimalLongitude", "geodeticDatum",
"coordinateUncertaintyInMeters", "eventDate")
),
desc(set_function)
)
object |>
mutate(
check_function = glue::glue("check_{term}()")
) |>
dplyr::select(2, 3, 1) |>
dplyr::rename(
"Term" = term,
"check function" = check_function,
"set function" = set_function
) |>
gt() |>
cols_align(
align = "left"
) |>
tab_header(
title = md("Supported Darwin Core terms"),
subtitle = "and their associated functions"
) |>
tab_style(
style = list(
cell_fill(color = "#92b4ea", alpha = 0.3),
cell_text(font = c(google_font(name = "Roboto")))
),
locations = cells_body(columns = c("Term"))
) |>
tab_style(
style = list(
cell_borders(sides = c("l"), color = "gray50", weight = px(3)),
cell_text(font = c(google_font(name = "Fira Mono")))
),
locations = cells_body(columns = c("check function", "set function"))
) |>
tab_options(
container.height = "450px"
)
## -----------------------------------------------------------------------------
df <- tibble::tibble(
decimalLatitude = c(-35.310, "-35.273"), # deliberate error for demonstration purposes
decimalLongitude = c(149.125, 149.133),
date = c("14-01-2023", "15-01-2023"),
individualCount = c(0, 2),
scientificName = c("Callocephalon fimbriatum", "Eolophus roseicapilla"),
country = c("AU", "AU"),
occurrenceStatus = c("present", "present")
)
df |>
check_dataset()
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