1.7.1), reshape2, scales (>= 0.4.1), stats, tibble, lazyeval,
Suggests: servr, gistr (>= 0.2), shiny, htmltools, rmarkdown, testthat,
devtools, httr, maps, ggplot2movies, hexbin, Hmisc, lattice,
mapproj, maptools, mgcv, nlme, quantreg, rpart, svglite
Himanshu Singh [aut] (Animint2 GSoC 2020)

mapproj, maptools, mgcv, nlme, rpart, svglite
'guides-grid.r' 'hexbin.R' 'labels.r' 'layer.r' 'limits.r'
'position-stack.r' 'quick-plot.r' 'range.r' 'save.r' 'scale-.r'

Suggests: servr, gistr (>= 0.2), shiny, RColorBrewer, htmltools,
hexbin, Hmisc, lattice, mapproj, maptools, mgcv, nlme, rpart,

Title: A Collection of ML Tools for Conservation Research
c(person(given="Kyra", family="Swanson",email="tswanson@sdzwa.org", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-1496-3217")),person(given="Mathias",family="Tobler",role = "aut"))
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Imports: pbapply, jpeg, keras, reticulate, tfdatasets, parallel, exifr,
Author: Kyra Swanson [aut, cre] (<https://orcid.org/0000-0002-1496-3217>),

Title: Animation of Multiple Trajectories with Uncertainty
Authors@R: c(person("Henry", "Scharf", email = "hscharf@sdsu.edu",
Description: Animation of observed trajectories using spline-based interpolation (see for example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M. (2016), <doi:10.1111/2041-210X.12465> "A functional model for characterizing long-distance movement behaviour". Methods Ecol Evol). Intended to be used exploratory data analysis, and perhaps for preparation of presentations.
Imports: animation, RColorBrewer, scales, sp, raster, mgcv, grDevices,
ggmap, crawl, dplyr, ellipse, ggplot2, igraph, lubridate,
Suggests: knitr, rgdal, rmarkdown, testthat

Imports: animation, knitr, RColorBrewer, scales, sp, rgdal
Packaged: 2017-10-10 13:22:29 UTC; chardhalfsnarl