Weakly Associated Vectors (WAVE) Sampling
Overview
Spatial data are generally auto-correlated, meaning that if two units selected are close to each other, then it is likely that they share the same properties. For this reason, when sampling in the population it is often needed that the sample is well spread over space. A new method to draw a sample from a population with spatial coordinates is proposed. This method is called wave (Weakly Associated Vectors) sampling. It uses the less correlated vector to a spatial weights matrix to update the inclusion probabilities vector into a sample. For more details see Raphaël Jauslin and Yves Tillé (2019) doi:10.1007/s13253-020-00407-1.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
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- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 86%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 71%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
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6 development-tooling and community-health practices detected across 5 families in the upstream repository
Checks run against github.com/rjauslin/wavesampling on 2026-10-21.
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Dependencies
Installing WaveSampling adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.4Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.32022-05-02 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.12020-01-30 · diff ↗
- 0.1.02019-10-16
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-10-16
- Total releases
- 4 / 7 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10
- Download size
- 43 KB
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