Journal: PeerJ

Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

doi: 10.7717/peerj.19136

Figure Lengend Snippet: Overview of each module’s analyses, including relevant references and the corresponding R packages used.

Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

Techniques: Sampling, Generated, Functional Assay

Journal: PeerJ

Article Title: EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package

doi: 10.7717/peerj.19136

Figure Lengend Snippet: Comparison of analyses performed by different software packages for ecological niche modeling.

Article Snippet: The plataform employs the biomod2 R package, a widely used ecological niche modeling framework that supports 12 correlative algorithms: generalized linear models (GLMs), generalized additive models (GAMs), generalized boosting models (often called boosted regression trees; GBM), classification tree analysis (CTA), artificial neural networks (ANNs), surface range envelopes or BIOCLIM (SRE), flexible discriminant analysis (FDA), multiple adaptive regression splines (MARS), random forest (RF), and maximum entropy (MAXENT) using the MIAmaxent ( ) R package MAXNET and extreme gradient boosting (XGBOOST) ( ).

Techniques: Comparison, Software, Selection, Generated, Sampling

Journal: Lancet Regional Health - Americas

Article Title: Distribution of tungiasis in latin America: Identification of areas for potential disease transmission using an ecological niche model

doi: 10.1016/j.lana.2021.100080

Figure Lengend Snippet: Potential distribution of tungiasis in Latin America (1896-2021) based on a Maxent model with LQH FC's and a RM of 1.5 (delta. AICc = 0).

Article Snippet: The potential geographic distribution of tungiasis was modeled with the maximum entropy algorithm implemented (Maxent) with the R package (R Studio team PBC; 2020), ‘maxnet’ v.0.1.4.

Techniques: