Fig 3 -

Kernel density estimate of the observed data set (dark blue lines) with density estimates for 1000 simulated data sets drawn from the posterior predictive distribution (light blue lines). (a) C a , (b) C b , (c) C e , (d) B.

Bibliographic Details
Main Authors:	Inoue Mizuki (613965), Hiroki Itô (3845638), Michimasa Yamasaki (2928024), Shigeru Fukumoto (8992274), Yuuki Okamoto (8992277), Masaya Katsuki (8992280), Keitaro Fukushima (4222753), Masaru Sakai (1669627), Shota Sakaguchi (3255555), Daisuke Fujiki (2671789), Hikaru Nakagawa (8992283), Masae Iwamoto Ishihara (8992286), Atsushi Takayanagi (774027)
Format:	Still Image
Language:	unknown
Published:	2020
Subjects:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control Canis lupus
Online Access:	https://doi.org/10.1371/journal.pone.0225872.g003

Description
Summary:	Kernel density estimate of the observed data set (dark blue lines) with density estimates for 1000 simulated data sets drawn from the posterior predictive distribution (light blue lines). (a) C a , (b) C b , (c) C e , (d) B.