http://hdl.handle.net/10174/64 2026-04-06T07:29:38Z 2026-04-06T07:29:38Z Barbosa, A. Márcia http://hdl.handle.net/10174/25149 2019-02-27T12:41:44Z 2018-01-01T00:00:00Z

Title: fuzzySim: Fuzzy Similarity in Species Distributions Authors: Barbosa, A. Márcia Abstract: This package provides functions to calculate fuzzy versions of species' occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples.

2018-01-01T00:00:00Z Mestre, Frederico Ascensão, Fernando Barbosa, A. Márcia http://hdl.handle.net/10174/24217 2019-01-24T17:12:59Z 2018-01-01T00:00:00Z

Title: gDefrag: Graph-Based Landscape De-Fragmentation Authors: Mestre, Frederico; Ascensão, Fernando; Barbosa, A. Márcia Abstract: This package provides a set of tools to help the ecological de-fragmentation of landscapes divided by linear transportation infrastructures. It works by prioritizing the different sections of these infrastructures (e.g. roads, railways) to increase the available amount of a given resource for widlife.

2018-01-01T00:00:00Z Barbosa, A. Márcia Brown, Jennifer Jiménez-Valverde, Alberto Real, Raimundo http://hdl.handle.net/10174/20946 2017-04-11T16:24:47Z 2016-01-01T00:00:00Z

Title: modEvA: Model Evaluation and Analysis Authors: Barbosa, A. Márcia; Brown, Jennifer; Jiménez-Valverde, Alberto; Real, Raimundo Abstract: The modEvA package analyses species distribution models and evaluates their performance. It includes functions for performing variation partitioning, calculating several measures of model discrimination and calibration, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots.

2016-01-01T00:00:00Z Barbosa, A. Márcia http://hdl.handle.net/10174/20945 2017-04-11T16:24:24Z 2016-01-01T00:00:00Z

Title: fuzzySim: Fuzzy Similarity in Species Distributions, v1.7 Authors: Barbosa, A. Márcia Abstract: This package contains functions to calculate fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples.

2016-01-01T00:00:00Z