View source: R/create_location.R
| create_location | R Documentation |
Create the location table
create_location(
L0_flat,
location_id,
location_name,
latitude = NULL,
longitude = NULL,
elevation = NULL
)
L0_flat |
(tbl_df, tbl, data.frame) The fully joined source L0 dataset, in "flat" format (see details). |
location_id |
(character) Column in |
location_name |
(character) One or more columns in |
latitude |
(character) An optional column in |
longitude |
(character) An optional column in |
elevation |
(character) An optional column in |
This function collects specified columns from L0_flat, creates data frames for each location_name, assigns latitude, longitude, and elevation to the lowest nesting level (i.e. the observation level) returning NA for higher levels (these will have to be filled manually afterwards), and determines the relationships between location_id and parent_location_id from L0_flat and location_name.
To prevent the listing of duplicate location_name values, and to enable the return of location_name columns by flatten_data(), location_name values are suffixed with the column they came from according to: paste0(<column name>, "__", <column value>). Example: A column named "plot" with values "1", "2", "3", in L0_flat would be listed in the resulting location table under the location_name column as "1", "2", "3" and therefore no way to discern these values correspond with "plot". Applying the above listed solution returns "plot__1", "plot__2", "plot__3" in the location table and returns the column "plot" with values c("1", "2", "3") by flatten_data().
"flat" format refers to the fully joined source L0 dataset in "wide" form with the exception of the core observation variables, which are in "long" form (i.e. using the variable_name, value, unit columns of the observation table). This "flat" format is the "widest" an L1 ecocomDP dataset can be consistently spread due to the frequent occurrence of L0 source datasets with > 1 core observation variable.
Additionally, latitude, longitude, and elevation of sites nested above the observation level will have to be manually added after the location table is returned.
(tbl_df, tbl, data.frame) The location table.
flat <- ants_L0_flat
location <- create_location(
L0_flat = flat,
location_id = "location_id",
location_name = c("block", "plot"),
latitude = "latitude",
longitude = "longitude",
elevation = "elevation")
location
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