tools4watlas/DESCRIPTION at master · krietsch/tools4watlas · GitHub

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Package: tools4watlas
Title: An R package for processing and visualizing high-throughput
    tracking data
Version: 2.0
Authors@R: c(
    person("Johannes", "Krietsch", , "johannes.krietsch@nioz.nl", role = "aut",
           comment = c(ORCID = "0000-0002-8080-1734")),
    person("Allert", "Bijleveld", , "allert.bijleveld@nioz.nl", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3159-8944")),
    person("Pratik", "Gupte", role = "ctb",
           comment = c(ORCID = "0000-0001-5294-7819")),
    person("Christine", "Beardsworth", role = "ctb",
           comment = c(ORCID = "0000-0003-1308-1455"))
  )
Description: `tools4watlas` is an R package for processing and visualizing
    high-throughput animal tracking data. While tailored for the WATLAS
    system (Wadden Sea Advanced Tracking and Localization of Animals in
    real-life Systems; Bijleveld et al., 2022), its functions are broadly
    applicable to other high-throughput tracking datasets, and study
    system-specific steps can be adapted easily. In addition, the package
    enables the integration of environmental data (e.g., water level,
    bathymetry, or any other raster data), allowing to link movement data
    easily to other ecological data. Beyond data processing workflows,
    `tools4watlas` includes tutorials, and visualization functions that
    support static plots, interactive plots and animations of movement
    data, as well as base map data of the Dutch Wadden Sea.
License: GPL-3 + file LICENSE
URL: https://allertbijleveld.github.io/tools4watlas/
BugReports: https://github.com/allertbijleveld/tools4watlas/issues
Depends:
    data.table,
    R (>= 4.5.0)
Imports:
    assertthat,
    DBI,
    dplyr,
    ggnewscale,
    ggplot2,
    ggrepel,
    ggspatial,
    ggtext,
    glue,
    lubridate,
    magrittr,
    maptiles,
    patchwork,
    purrr,
    ragg,
    rlang,
    RMySQL,
    RSQLite,
    scales,
    sf,
    stats,
    stringr,
    terra,
    tidyterra,
    viridis,
    zoo
Suggests:
    doFuture,
    foreach,
    knitr,
    mapview,
    mockery,
    OpenStreetMap,
    plotly,
    plyr,
    progress,
    raster,
    RColorBrewer,
    readxl,
    rmarkdown,
    scattermore,
    suncalc,
    testthat (>= 3.0.0)
VignetteBuilder:
    knitr
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3