@inbook{96bebd5e0be646228184ae8458760733,
title = "Experiments with the Full Fish4Knowledge Dataset",
abstract = "This chapter presents some of the experiments possible when using a very large ecological observation dataset, such as the Fish4Knowledge dataset. The dataset was acquired over 1000 days, observing 12 h a day using 9 undersea cameras at 3 locations. 23 different species were recognized. Each day{\textquoteright}s observations vary considerably, but analysis of the large dataset allows trends to be observed. Key results are (1) that there is only little variation in fish observation through the daylight hours, (2) that typhoons only temporarily disrupt the abundance measures, and (3) different habitats show different ratios of species.",
author = "Fisher, {Robert B.}",
year = "2016",
doi = "10.1007/978-3-319-30208-9_16",
language = "English",
isbn = "978-3-319-30206-5",
series = "Intelligent Systems Reference Library",
publisher = "Springer",
pages = "239--259",
editor = "Fisher, {B. Robert} and Yun-Heh Chen-Burger and Daniela Giordano and Lynda Hardman and Fang-Pang Lin",
booktitle = "Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data",
address = "United Kingdom",
}