Evolutionary BiologyPLoS ONEPeer-reviewed
An overview of GabRat edge disruption and its new extensions for unbiased quantification of disruptive camouflaging patterns using randomization technique
Masahiko Tanahashi, Min-Chen Lin, Chung‐Ping Lin
The paper introduces GabRat-R and GabRat-RR, improved versions of the GabRat method that reduce angle dependency and background bias in quantifying disruptive camouflage patterns.
2 citations