https://paanwaris.r-universe.devRecent package updates in paanwarisR-universehttps://github.com/paanwaris.pnghttps://paanwaris.r-universe.devWed, 27 May 2026 18:34:31 GMTpaanwaris@vt.edu (Paanwaris Paansri)A suite of tools to mitigate sampling bias in species occurrence records by thinning data in the environmental space (E-space). This process can improve the accuracy and precision of species distribution models (SDM, also known as ecological niche models, ENM). The package offers a data-driven protocol to determine thinning parameters using kernel-density bandwidth selection. Two thinning methods are provided (stochastic and deterministic) to reduce over-sampled environmental conditions and down-weight outlier observations. The name 'bean' reflects the core principle of the method: each 'pod' (a grid cell in E-space) is allowed to contain only a limited number of 'beans' (occurrence points). See Silverman (1986, ISBN:978-0-412-24620-3) and Rousseeuw and Leroy (2003, ISBN:978-0-471-48855-2) for the underlying statistical methods.https://github.com/r-universe/paanwaris/actions/runs/26707250004Wed, 27 May 2026 18:34:31 GMTbean0.2.0successhttps://paanwaris.r-universe.devhttps://github.com/paanwaris/beandata-preparation.Rmddata-preparation.htmlData preparation 2026-05-13 21:20:582026-05-26 19:40:59environmental-thinning.Rmdenvironmental-thinning.htmlEnvironmental thinning 2026-05-13 21:20:592026-05-26 19:41:01niche-modeling.Rmdniche-modeling.htmlNiche modeling 2026-05-13 21:21:012026-05-26 19:41:02bean-overview.Rmdbean-overview.htmlbean: an overview2026-05-26 18:08:302026-05-26 18:08:30