https://github.com/cboettig/multiple_uncertainty
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Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.3%) to scientific vocabulary
Repository
:notebook:
Basic Info
Statistics
- Stars: 3
- Watchers: 4
- Forks: 3
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
Multiple Uncertainty
- Carl Boettiger, Mike Springborn, Jim Sanchirico
Abstract
This project is an exploration into measuring and comparing the value of information in the problem of optimal control/management of a natural resource under multiple sources of uncertainty. Uncertainty about model dynamics, quality of information, and the accuracy of management implementation pose a challenge both in theory and practice of managing natural systems. Different forms of uncertainty may interact, making it impossible to study each in isolation, even in theory and simulation. While managers can often gather additional information to decease uncertainty, not all information is equally valuable. The goal of this project is to help illuminate what kinds of information are most valuable (or kinds of uncertainty are most hazardous) in a way that can be quantified directly in the context of the management optimization problem.
Install notes
This repository is structured as an R package and can be installed directly using
r
library(devtools)
install_github("multiple_uncertainty", "cboettig")
from the R terminal.
Research scripts
Research scripts are knitr files containing various investigations that are part of this project. These scripts contain notes and descriptions of the investigation, code to carry out the simulations and analyses, and graphs and tables of the results as part of a single dynamic document. Version history of these scripts tracks the evolution of an analysis. Methods common to all scripts that allow a more general toolbox for exploring optimal control and multiple uncertainty are provided as functions of the R package. Scripts can be linked to their most recent version or to version-stable SHA1 hashes, ensuring that they can be reproduced. Make sure all files from the repo match the hash to ensure that functions external to the script also match the original run.
Issues tracker
Completed and pending tasks can be seen in the issues tracker, and may be organized by type and milestone.
Lab notebook
Any research notes connected to this project appear under the #multiple-uncertainty tag in my online lab notebook
Owner
- Name: Carl Boettiger
- Login: cboettig
- Kind: user
- Company: UC Berkeley
- Website: http://carlboettiger.info
- Repositories: 173
- Profile: https://github.com/cboettig
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 4
- Total pull requests: 0
- Average time to close issues: 12 minutes
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- cboettig (4)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- R >= 3.2.2 depends
- MDPtoolbox * imports
- testthat * suggests