Biodiversity Information Review and Decision Support

It helps making the evaluation and preparation of biodiversity data easy, systematic and reproducible. It also helps the users to overlay the point observations into a custom grid that is useful for further analysis. The review summarise statistics that helps evaluate whether a set of species observations is fit-for-use and take decisions upon its use of on further analyses. It does so by quantifying the sampling effort (amount of effort expended during an event) and data completeness (data gaps) to help judge whether the data is representative, valid and fit for any intended purpose. The 'BIRDS' package is most useful when working with heterogeneous data sets with variation in the sampling process, i.e. where data have been collected and reported in various ways and therefore varying in sampling effort and data completeness (i.e. how well the reported observations describe the true state). Primary biodiversity data (PBD) combining data from different data sets, like e.g. Global Biodiversity Information Facility (GBIF) mediated data, commonly vary in the ways data has been generated - containing opportunistically collected presence-only data together with and data from systematic monitoring programs. The set of tools provided is aimed at understanding the process that generated the data (i.e. observing, recording and reporting species into databases). References: Ruete (2015) ; Szabo, Vesk, Baxter & Possingham (2010) ; Telfer, Preston 6 Rothery (2002) .


Reference manual

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install.packages("BIRDS") by Alejandro Ruete, a month ago

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Authors: Debora Arlt [aut] , Alejandro Ruete [aut, cre] , Anton Hammarström [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports data.table, dbscan, dplyr, geosphere, leaflet, lubridate, magrittr, methods, nnet, rgdal, rgeos, rlang, sf, sp, stringr, shotGroups, taxize, tidyr, xts, zoo

Suggests covr, knitr, leaflet.extras, leafpm, mapedit, maps, rgbif, rmarkdown, shiny, testthat, utils, vegan

System requirements: GDAL (>= 2.0.1)

See at CRAN