riverconn (version 0.3.31)

t_index_calculation: Calculates time-dependent index when nodes weights or barriers passability are changing

Description

Calculates time-dependent index when nodes weights or barriers passability are changing

Usage

t_index_calculation(
  graph = graph,
  ...,
  barriers_metadata,
  id_barrier = "id_barrier",
  year = "year",
  pass_u = "pass_u",
  pass_d = "pass_d",
  weights_metadata,
  weight = "length",
  nodes_id = "name",
  parallel = TRUE,
  ncores
)

Value

a data.frame with a 'year' field and related connectivity index. If index_type = "reach", the data.frame is organized by 'year' and 'name'.

Arguments

graph

an object of class igraph. Can be both directed or undirected.

...

other arguments passed to the function index_calculation

barriers_metadata

data.frame that must contain a column having the same name as the 'id_barrier' attribute of the graph, and two columns with the corresponding upstream and downstream improved passabilities (see pass_u and pass_d), and a column with the year passability was changed. This data frame can be obtained from easily-formatted data with the function t_passability_sequencer.

id_barrier

graph edges attribute used to label barriers. Default is "id_barrier". It should be present in the 'barriers metadata' input as well.

year

field of the 'barriers metadata' where temporal information on the changes in passability is stored.

pass_u

field of the 'barriers metadata' where temporal-dependent upstream passability is stored.

pass_d

field of the 'barriers metadata' where temporal-dependent downstream passability is stored.

weights_metadata

data.frame that must contain a column having the same name as the 'nodes_id' attribute of the graph, a column with he corresponding weight information (see 'weight' parameter), and a column with the year weight was changed. This data frame can be obtained from easily-formatted data with the function t_weight_sequencer.

weight

param weight graph vertex attribute used to assign weights to the reaches (nodes). Default is "length".

nodes_id

graph vertex attribute used to uniquely label reaches (nodes). Default is "name".

parallel

logical value to flag if parallel option is to be used.

ncores

define how many cores are used in parallel processing. Active only when parallel = TRUE

References

Baldan, D., Cunillera-Montcusí, D., Funk, A., & Hein, T. (2022). Introducing ‘riverconn’: an R package to assess river connectivity indices. Environmental Modelling & Software, 156, 105470.

Examples

library(igraph)
g <- igraph::graph_from_literal(1-+2, 2-+4, 3-+2, 4-+6, 6-+5)
E(g)$id_barrier <- c(NA, NA, "1", NA, NA)
E(g)$type <- ifelse(is.na(E(g)$id_barrier), "joint", "dam")
V(g)$length <- c(1, 1, 2, 3, 4,5)
V(g)$Id <- V(g)$name
E(g)$pass_u <- E(g)$pass_d <- ifelse(!is.na(E(g)$id_barrier),0.1,NA)
barriers_data <- data.frame("id_barrier" = c("1"),
   "year_c" = 2000, "pass_c_u" = 0.1, "pass_c_d" = 0.4)
seq_ops <- c("c")
barriers_metadata <- t_passability_sequencer(barriers_data, seq_ops)
weights_dataframe <- data.frame("name" = seq(1,6) %>% as.character,
    "length_1999" = c(1, 1, 2, 3, 4,5))
weights_metadata <- t_weights_sequencer(weights_dataframe, weight = "length")
t_index <- t_index_calculation(g, barriers_metadata = barriers_metadata,
 weights_metadata = weights_metadata, weight = "length", parallel = FALSE, B_ij_flag = FALSE)