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  "Package": "FishDiveR",
  "Title": "Classify Aquatic Animal Behaviours from Vertical Movement Data",
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  "Authors@R": "person(given = \"Calvin\", family = \"Beale\", email = \"calvin.beale.8@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3505-8929\"))",
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  "Description": "Quantitatively analyse depth time-series data from pop-up\nsatellite archival tags (PSATs) through the application of\ncontinuous wavelet transformation (CWT) combined with Principal\nComponent Analysis (PCA), and k-means clustering. Import, crop,\nand plot depth time-depth records (TDRs). Using CWT to detect\nimportant signals within the non-stationary data, we create\ndaily wavelet statistics to summarise vertical movements on\ndifferent wavelet periods and combine with daily and diel depth\nstatistics. Classify depth time-series with unsupervised\nk-means clustering into 24-hour periods of vertical movement\nbehaviour with distinct patterns of vertical movement. Plot\nexample days from each behaviour cluster, and plot the TDR\ncoloured by cluster. Based on principals of combining CWT with\nk-means first developed by Sakamoto (2009)\n<doi:10.1371/journal.pone.0005379> and redeveloped by Beale\n(2026) <doi:10.21203/rs.3.rs-6907076/v1>.",
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  "Date/Publication": "2026-05-19 06:00:01 UTC",
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  "Author": "Calvin Beale [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-3505-8929>)",
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      "title": "Import depth statistics and combine with PC scores",
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