is_sf_points

Tests if the object passed to the function is a sf points object or not.
An internal only function.

internal

Encapsulates a number of spatially balanced sampling algorithms,
namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames
(for discretizing a continuous resource), Halton Iterative Partitioning (equal probability)
and Simple Random Sampling.
Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>.
Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>.
Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>.
Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>.
Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) <doi:10.1111/anzs.12435>.

Phil Davies

spbal

Spatially Balanced Sampling Algorithms

Blair Robertson

Paul van Dam-Bates

Oliver Gansell

is_sf_points function

<dl><dt>x</dt>
<dd>A probable sf points object.</dd></dl>

is_sf_points: Check if an object is an sf points object.

Description

Usage

Value

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Author

Details