raptr: raptr: Representative and Adequate Prioritization Toolkit in...
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raptr R Documentation
raptr: Representative and Adequate Prioritization Toolkit in R
Description
Biodiversity is in crisis. The overarching aim of conservation is to preserve
biodiversity patterns and processes. To this end, protected areas are
established to buffer species and preserve biodiversity processes. But
resources are limited and so protected areas must be cost-effective. This
package contains tools to generate plans for protected areas
(prioritizations). Conservation planning data are used to construct an
optimization problem, which is then solved to yield prioritizations. To
solve the optimization problems in a feasible amount of time, this package
uses the commercial 'Gurobi' software package (obtained from
https://www.gurobi.com/). For more information on using
this package, see Hanson et al. (2018).
Details
The main classes used in this package are used to store input data and
prioritizations:
- GurobiOpts
parameters for solving optimization
problems using Gurobi.
- RapReliableOpts
parameters for the reliable
formulation of RAP.
- RapUnreliableOpts
parameters for the unreliable
formulation of RAP.
- RapData
planning unit, species data, and demand
points for RAP.
- RapUnsolved
contains all the data and input
parameters required to generate prioritizations using RAP. This class
contains a GurobiOpts object, a
RapReliableOpts or RapUnreliableOpts
object, and a RapData object.
- RapResults
prioritizations and summary
statistics on their performance.
- RapSolved
contains all the input data,
parameters and output data. This class contains all the objects in a
RapUnsolved() object and also a RapResults
object.
Type vignette("raptr") for a tutorial on how to use this package.
References
Hanson JO, Rhodes JR, Possingham HP & Fuller RA (2018)
raptr: Representative and Adequate Prioritization",
Toolkit in R. Methods in Ecology & Evolution,",
9: 320–330. DOI: 10.1111/2041-210X.12862.
raptr documentation built on March 31, 2023, 9:46 p.m.
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| raptr | R Documentation |
raptr: Representative and Adequate Prioritization Toolkit in R
Description
Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations). Conservation planning data are used to construct an optimization problem, which is then solved to yield prioritizations. To solve the optimization problems in a feasible amount of time, this package uses the commercial 'Gurobi' software package (obtained from https://www.gurobi.com/). For more information on using this package, see Hanson et al. (2018).
Details
The main classes used in this package are used to store input data and prioritizations:
- GurobiOpts
parameters for solving optimization problems using Gurobi.
- RapReliableOpts
parameters for the reliable formulation of RAP.
- RapUnreliableOpts
parameters for the unreliable formulation of RAP.
- RapData
planning unit, species data, and demand points for RAP.
- RapUnsolved
contains all the data and input parameters required to generate prioritizations using RAP. This class contains a GurobiOpts object, a RapReliableOpts or RapUnreliableOpts object, and a RapData object.
- RapResults
prioritizations and summary statistics on their performance.
- RapSolved
contains all the input data, parameters and output data. This class contains all the objects in a
RapUnsolved()object and also a RapResults object.
Type vignette("raptr") for a tutorial on how to use this package.
References
Hanson JO, Rhodes JR, Possingham HP & Fuller RA (2018) raptr: Representative and Adequate Prioritization", Toolkit in R. Methods in Ecology & Evolution,", 9: 320–330. DOI: 10.1111/2041-210X.12862.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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