t_passability_sequencer: Create the time-dependent metadata for barriers

In riverconn: Fragmentation and Connectivity Indices for Riverscapes

Create the time-dependent metadata for barriers

Description

Create the time-dependent metadata for barriers

Usage

t_passability_sequencer(passability_information, seq_ops)

Arguments

passability_information	a data frame in wide format. Must contain an 'id_barrier' column. Each change in passability is listed in a group of 3 columns: 'year_op', 'pass_op_u', and 'pass_op_d', listing the year the operation (op) took place, and the related upstream and downstream passabilities. In case the passability did not change, a NA value should be used. See details.
seq_ops	A charachter vector with the temporal sequence of operations. It should contain all the operation strings in the 'passability_information' data frame.

Details

This function is meant to help processing data the way they can be obtained from a database, or the way they are stored in a spreadsheet. The substring 'op' in the fields 'year_op', 'pass_op_u', and 'pass_op_d' is used to identify each operation and to relate it to the relative passability parameters. For example, c can be used for construction, and fp for the implementation of a fish pass. In this case, passability_information will have the fields 'year_c', 'pass_c_u', and 'pass_c_d', 'year_fp', 'pass_fp_u', and 'pass_fp_d'. Then, the input seq_ops = c("c", "fp"), meaning that first the operation named 'c' occurred, and then the operation named 'fp' occurred.

Value

a dataframe in a long format that can be used as input to the tDCI function.

Examples

barriers_data <- data.frame("id_barrier" = c("1", "2"),
"year_c" = c(1950, 1990), "pass_c_u" = c(0.1, 0.1), "pass_c_d" = c(0.4, 0.4),
"year_fp" = c(2000, 2010), "pass_fp_u" = c(0.5, 0.5), "pass_fp_d" = c(0.8, 0.8))
seq_ops <- c("c", "fp")
t_metadata <- t_passability_sequencer(barriers_data, seq_ops)

riverconn documentation built on May 31, 2023, 8:02 p.m.