SSNdesign
"SSNdesign" is an R package to address the unique challenges of conducting geostatistical modeling and experimental design within stream networks. This tool is particularly valuable for aquatic scientists and environmental researchers focused on optimizing the placement of sampling sites for freshwater studies and aquatic monitoring programs. Given the costly nature of data collection in these environments, SSNdesign aims to maximize information gain while minimizing costs through effective and efficient survey designs.
Key Features and Functionalities:
- Optimal and Adaptive Design: SSNdesign specializes in solving optimal and adaptive design problems on stream networks, leveraging geostatistics and design theory to determine the most effective placement of sampling sites.
- Integration with Existing Tools: The package is designed to integrate seamlessly with existing open-source software, enhancing its utility and accessibility for researchers already working within the aquatic science ecosystem.
- Addressing Stream Network Challenges: SSNdesign is built to tackle the statistical challenges unique to stream networks, such as their branching structure, flow connectivity and directionality, and variations in flow volume. These factors make traditional geostatistical models less applicable, underscoring the need for a specialized tool like SSNdesign.
Topic
Biodiversity;Freshwater biology;Experimental design and studies;Mathematics
Detail
Operation: Network analysis
Software interface: Command-line interface
Language: R
License: GNU General Public License v2.0
Cost: Free with restrictions
Version name: 0.0.0.9000
Credit: Healthy Land and Water, Australian Research Council.
Input: -
Output: -
Contact: Alan R. Pearse arp320@uowmail.edu.au
Collection: -
Maturity: -
Publications
- SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks.
- Pearse AR, et al. SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks. SSNdesign-An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks. 2020; 15:e0238422. doi: 10.1371/journal.pone.0238422
- https://doi.org/10.1371/JOURNAL.PONE.0238422
- PMID: 32960894
- PMC: PMC7508409
Download and documentation
Documentation: https://github.com/apear9/SSNdesign/blob/master/README.md
Home page: https://github.com/apear9/SSNdesign
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