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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