This function creates a new RapResults() object.

RapResults(
summary,
selections,
amount.held,
space.held,
logging.file,
.cache = new.env()
)

## Arguments

summary base::data.frame() with summary information on solutions. See details below for more information. base::matrix() with binary selections. The cell $$x_{ij}$$ denotes if planning unit $$j$$ is selected in the $$i$$'th solution. base::matrix() with the amount held for each species in each solution. base::matrix() with the proportion of attribute space sampled for each species in each solution. character Gurobi log files. base::environment() used to cache calculations.

## Value

RapResults object

## Details

The summary table follows Marxan conventions ( https://marxansolutions.org/). The columns are:

Run_Number

The index of each solution in the object.

Status

The status of the solution. The values in this column correspond to outputs from the Gurobi software package (http://www.gurobi.com/documentation/6.5/refman/optimization_status_codes.html).

Score

The objective function for the solution.

Cost

Total cost associated with a solution.

Planning_Units

Number of planning units selected in a solution.

Connectivity_Total

The total amount of shared boundary length between all planning units. All solutions in the same object should have equal values for this column.

Connectivity_In

The amount of shared boundary length among planning units selected in the solution.

Connectivity_Edge

The amount of exposed boundary length in the solution.

Connectivity_Out

The number of shared boundary length among planning units not selected in the solution.

Connectivity_Fraction

The ratio of shared boundary length in the solution (Connectivity_In) to the total amount of boundary length (Connectivity_Edge). This ratio is an indicator of solution quality. Solutions with a lower ratio will have less planning units and will be more efficient.

## Note

slot best is automatically determined based on data in summary.