create_PU_spp_pair_indices | R Documentation |
Converts an edge list to a PU/spp table to give to Marxan and to network functions for bipartite networks:
create_PU_spp_pair_indices( edge_list, nodes, dependent_node_IDs, PU_costs, num_PUs )
edge_list |
two column integer matrix of node IDs with one row for each edge and columns for the 2 ends of the edge |
nodes |
data frame containing integer node_ID, integer group_ID, and boolean dependent_set_member |
dependent_node_IDs |
integer vector of IDs of planning units contained in a constructed correct solution to a Xu problem |
PU_costs |
numeric vector of planning unit costs |
num_PUs |
integer number of planning units |
Now that we have the edge list, we need to go through and create a table where every link attached to a node appears on a separate line of the table and is labelled with the node ID. So, that means that we have to go through the whole edge list and create 2 new table entries for each link in the edge list. Each of those entries gives the ID of one of the end nodes of the link plus the link's ID.
This table needs to be built because it's the form that Marxan expects the spp and PU data to be in, i.e., node=PU and link=spp and every line in the table is specifying a PU and one of the species in it. If we weren't feeding Marxan, there would be no need for this kind of a table since we already have an edge list.
However, there is one other useful byproduct of building this table. It makes it easy to compute rank-abundance information and information about the distribution of species across patches.
I just realized that this structure is also something like the description of a bipartite network, so I may need to modify or use it in doing the bipartite network analyses too.
Returns a PU_spp_pair_info_class object
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