- In order to learn about broad scale ecological patterns, data from large-scale surveys must allow us to either estimate the correlations between the environment and an outcome of interest and/or accurately predict ecological patterns. An important part of data collection is the sampling effort used to collect observations, which we decompose into two quantities: the number of observations or plots ($n$) and the per-observation/plot effort ($E$) (e.g. area per plot). If we want to understand the relationships between predictors and a response variable, then lower model parameter uncertainty is desirable. If the goal is higher predictive performance, then lower prediction error is preferable. We aim to ... [Read More]
- Total Size
- 12 files (3.65 MB)
- Data Citation
- Tang, B., Kamakura, R., Barnett, D., Clark, J. (2022). Data and scripts from: Design and use of monitoring networks: Few-large versus many-small (FLvMS) and multi-scale analysis. Duke Research Data Repository. https://doi.org/10.7924/r43t9qf44
- DOI
- 10.7924/r43t9qf44
- Publication Date
- June 16, 2022
- ARK
- ark:/87924/r43t9qf44
- Affiliation
- Publisher
- Location
- Northeast, , United States
- Type
- Related Materials
- Contact
- Becky Tang becky.tang@duke.edu ORCID: 0000-0002-8436-2716
- Title
- Data and scripts from: Design and use of monitoring networks: Few-large versus many-small (FLvMS) and multi-scale analysis
- Repository
Thumbnail | Title | Date Uploaded | Visibility | Actions |
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README.txt | 2022-06-16 | Download | |
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Code | 2022-06-16 | ||
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Data | 2022-06-16 |