Match flights to OTM data

Matches thermal dynamics of specific tiles (i.e., specific latitude and longitudes) collected across multiple flights to the thermal dynamics of an operative temperature model (OTM).

Usage

match_data(flights_data, otm_splines, coverage_per, error_max)

Arguments

flights_data

A data frame of flights data obtained through rnp_flights_data and corrected using correct_flights_data. The temperature column should be op_temp but the function will also work if surf_temp is provided.

otm_splines

A nested tibble obtained using gen_otm_splines

coverage_per

A numeric between 0 - 1 indicating the minimum coverage that a tile should have across all flights provided in order to be included in the matching. Coverage is calculated as the number of times temperature was measured in a given tile divided by the total number of flights. Values >= 0.9 are recommended. The function will provide a warning of the numbeof tiles for which coverage is > 0.5. If missing, it defaults to 0.9

error_max

The maximum average absolute error between temperature measurements of a tile and an OTM that makes a match between a tile and OTM valid. Error is calculated as the average absolute value between the OTM prediction and the temperature measurements of the tile. If missing, it defaults to 100, a sufficiently large number so all tiles are assigned regardless of error.

Value

A matches data frame with columns for x, y (UTM coordinates), the otm_id that best describes the thermal dynamics of that tile and the average absolute error between tile measurements and OTM predictions. Rows where is.na(otm_id) indicate tiles where error was not

< error_max for any of the OTMs provided.