bdvis

About

Biodiversity Data Visualizations using R. This package offers a set of functions to visualize biodiversity occurrence data through R. Please check the paper describing the package Barve, V., and J. Otegui. 2016. bdvis: visualizing biodiversity data in R. Bioinformatics:btw333. https://academic.oup.com/bioinformatics/article/32/19/3049/2196391

The development of the package started as a Google Summer of Code project.

Installation

install.packages("bdvis") 
require(bdvis) 

Packages bdvis suggests

(for the purpose of building examples)

• [rinat] (https://github.com/ropensci/rinat)

Functions currently available

For the sake of examples, we will work with some data obtained using the package rinat

install.packages("rinat") 
require(rinat)  # Data download might take some time
inat <- get_inat_obs_project("reptileindia") 
inat <- format_bdvis(inat,source='rinat')
inat <- inat[,c("id","Date_collected", "Latitude", "Longitude", 
                "Scientific_name", "Cell_id", "Centi_cell_id")]

bdsummary

bdsummary(inat) 

mapgrid

mapgrid(inat,ptype="records",bbox=c(60,100,5,40)) 
mapgrid(inat,ptype="records",bbox=c(60,100,5,40),gridscale=0.1) 

tempolar

tempolar(inat, color="green", title="iNaturalist daily", plottype="r", timescale="d") 
tempolar(inat, color="blue", title="iNaturalist weekly", plottype="p", timescale="w") 
tempolar(inat, color="red", title="iNaturalist monthly", plottype="r", timescale="m") 

taxotree

inat=gettaxo(inat) 
taxotree(inat) 

chronohorogram

chronohorogram(inat) 

bdcomplete

comp=bdcomplete(inat,recs=5)
mapgrid(comp,ptype="complete",bbox=c(60,100,5,40))

distrigraph

distrigraph(inat,ptype="cell",col="tomato") 
distrigraph(inat,ptype="species",ylab="Species") 
distrigraph(inat,ptype="efforts",col="red") 
distrigraph(inat,ptype="efforts",col="red",type="s") 
distrigraph(inat,ptype="efforts",col="red",cumulative=T,type="l")
distrigraph(inat,ptype="effortspecies",col="red",cumulative=T,type="l")

bdcalendarheat

bdcalendarheat(inat)