sampling_strategy_direct

Function that determines the optimal spatial arrangement for direct sampling sites

Runs the eDITH (environmental DNA Integrating Transport
and Hydrology) model, which implements a mass balance of environmental DNA (eDNA)
transport at a river network scale coupled with a species distribution model
to obtain maps of species distribution. eDITH can work with both eDNA concentration
(e.g., obtained via quantitative polymerase chain reaction) or metabarcoding
(read count) data. Parameter estimation can be performed via Bayesian techniques
(via the 'BayesianTools' package) or optimization algorithms. An interface to the
'DHARMa' package for posterior predictive checks is provided. See Carraro and
Altermatt (2024) <doi:10.1111/2041-210X.14317> for a package introduction;
Carraro et al. (2018) <doi:10.1073/pnas.1813843115> and Carraro et al. (2020)
<doi:10.1038/s41467-020-17337-8> for methodological details.

Luca Carraro

eDITH

Model Transport of Environmental DNA in River Networks

Florian Altermatt

University of Zurich 

sampling_strategy_direct function

<dl> <dt>river</dt>
<dd>A <code>river</code> object generated via <code>aggregate_river</code>.</dd> <dt>nSites</dt>
<dd>Number of sites to be deployed. Cannot be higher than <code>river$AG$nNodes</code>.</dd></dl>

Arguments

Determine optimal spatial arrangement for direct sampling — sampling_strategy_direct

<dl>

 <dt>river</dt>
<dd>A <code>river</code> object generated via <code>aggregate_river</code>.</dd>

 <dt>nSites</dt>
<dd>Number of sites to be deployed. Cannot be higher than <code>river$AG$nNodes</code>.</dd>

</dl>

sampling_strategy_direct: Determine optimal spatial arrangement for direct sampling

Description

Usage

Value

Arguments

Examples