bird_move: Simulated bird migration data

In gavinsimpson/gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

Simulated bird migration data

Description

Data generated from a hypothetical study of bird movement along a migration corridor, sampled throughout the year. This dataset consists of simulated sample records of numbers of observed locations of 100 tagged individuals each from six species of bird, at ten locations along a latitudinal gradient, with one observation taken every four weeks. Counts were simulated randomly for each species in each location and week by creating a species-specific migration curve that gave the probability of finding an individual of a given species in a given location, then simulated the distribution of individuals across sites using a multinomial distribution, and subsampling that using a binomial distribution to simulation observation error (i.e. not every bird present at a location would be detected). The data set (bird_move) consists of the variables count, latitude, week and species.

Format

A data frame

Source

Pedersen EJ, Miller DL, Simpson GL, Ross N. 2018. Hierarchical generalized additive models: an introduction with mgcv. PeerJ Preprints 6:e27320v1 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.7287/peerj.preprints.27320v1")}.

gavinsimpson/gratia documentation built on April 13, 2024, 10:56 p.m.