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Identify and group nearby monitoring locations (UNDER ACTIVE DEVELOPMENT)

Source: R/Utilities.R
TADA_FindNearbySites.Rd

This function takes a TADA dataset and creates a distance matrix for all sites in the dataset. It then uses the buffer input value to determine which sites are within the buffer and should be identified as part of a nearby site group.

Usage

TADA_FindNearbySites(.data, dist_buffer = 100)

Arguments

.data

TADA dataframe OR TADA sites dataframe

dist_buffer

Numeric. The maximum distance (in meters) two sites can be from one another to be considered "nearby" and grouped together. The default is 100m.

Value

Input dataframe with a TADA.MonitoringLocationIdentifier column that indicates the nearby site groups each monitoring location belongs to. Grouped sites are concatenated in the TADA.MonitoringLocationIdentifier column (e.g. "USGS-10010025","USGS-10010026" enclosed in square brackets []). This JSON array is the new TADA monitoring location ID for the grouped sites. TADA.MonitoringLocationIdentifier can be leveraged to analyze data from nearby sites together (as the same general location).

Examples

GroupNearbySites_100m <- TADA_FindNearbySites(Data_Nutrients_UT)
GroupNearbySites_10m <- TADA_FindNearbySites(Data_Nutrients_UT, dist_buffer = 10)