Journal
METHODS IN ECOLOGY AND EVOLUTION
Volume 12, Issue 3, Pages 415-420Publisher
WILEY
DOI: 10.1111/2041-210X.13535
Keywords
field sampling; monitoring (community ecology); monitoring (disease ecology); sampling; surveys
Categories
Funding
- Australian Government's National Environmental Science Program
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A well-considered survey design is crucial for generating representative data from the sample population. Spatially balanced randomisation with unequal inclusion probabilities is an efficient method within sampling theory. The R-package MBHdesign provides field researchers with easy access to these designs and implements point-based and transect-based methods.
A considered survey design will generate data that are representative of the population that the sample is taken from. All good design takes is a little thought, some information and some good software tools. Spatially balanced randomisation with unequal inclusion probabilities is a modern and efficient design method. These designs are embedded within sampling theory and should be easy to generate. The R-package MBHdesign allows field researchers easy access to these designs. It implements point-based and transect-based methods and allows for the incorporation of legacy sites. The functionality of the package is illustrated with example designs in an environmentally heterogeneous region.
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