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SpotSampling
View on CRAN: Click
here
Download and install SpotSampling package within the R console
Install from CRAN:
install.packages("SpotSampling")
Install from Github:
library("remotes")
install_github("cran/SpotSampling")
Install by package version:
library("remotes")
install_version("SpotSampling", "0.1.0")
Attach the package and use:
library("SpotSampling")
Maintained by
Esther Eustache
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-26
Latest Update: 2020-10-26
Description:
In spatial data, information of two neighboring units are generally very similar.
For spatial sampling, it is therefore more efficient to select samples that are well spread out in space. Often, the interest lies not only in estimating a measure at one point in time, but rather in estimating several points in time to also study the evolution.
Three new methods called Orfs (Optimal Rotation with Fixed sample Size), Orsp (Optimal Rotation with Spread sample), and Spot (Spatial and Optimally Temporal Sampling) are implemented in this package. Orfs allows to select temporal samples with fixed size. Orsp selects spatio-temporal samples with random size that are well spread out in space at each point in time. And Spot generates spread sample with fixed sample size at each wave. These methods provide an optimal time rotation of the selected units using the systematic sampling.
How to cite:
Esther Eustache (2020). SpotSampling: SPatial and Optimally Temporal (SPOT) Sampling. R package version 0.1.0, https://cran.r-project.org/web/packages/SpotSampling. Accessed 30 Jan. 2025.
Previous versions and publish date:
0.1.0 (2020-10-26 11:40)
Other packages that cited SpotSampling R package
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Other R packages that SpotSampling depends,
imports, suggests or enhances
Functions, R codes and Examples using
the SpotSampling R package
Some associated functions: Orfs . Orsp . Preselection . ReducedMatrix . ReducedSamplecube . Spot . Spread . SystematicDesign . TemporalPivot .
Some associated R codes: Orfs.R . Orsp.R . Preselection.R . ReducedMatrix.R . ReducedSamplecube.R . Spot.R . Spread.R . SystematicDesign.R . TemporalPivot.R . Full SpotSampling package functions and examples
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