knitr, rmarkdown, testthat (>= 3.0.0), config, shinyjs,
shinythemes, shinyBS, shinyWidgets, ggplot2, plotly,
data.table, DT, curl, rdrop2, mongolite, loggit

Raman and (FT)IR spectral analysis tool for plastic particles and
other environmental samples (Cowger et al. 2021,
<doi:10.1021/acs.analchem.1c00123>). Supported features include reading
spectral data files (.asp, .csv, .jdx, .spc, .spa, .0), Savitzky-Golay
smoothing of spectral intensities with smooth_intens(), correcting
background noise with subtr_bg() in accordance with Zhao et al. (2007)
<doi:10.1366/000370207782597003>, and identifying spectra using an onboard
reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>).
Analyzed spectra can be shared with the Open Specy community. A Shiny app is
available via run_app() or online at
<https://wincowger.shinyapps.io/OpenSpecy/>.
dplyr, rlang, osfr, hyperSpec, hexView, digest, signal, shiny

Analyze, Process, Identify, and Share Raman and (FT)IR Spectra
Raman and (FT)IR spectral analysis tool for plastic particles and
other environmental samples (Cowger et al. 2021,
<doi:10.1021/acs.analchem.1c00123>). Supported features include reading
spectral data files (.asp, .csv, .jdx, .spc, .spa, .0), Savitzky-Golay
smoothing of spectral intensities with smooth_intens(), correcting
background noise with subtr_bg() in accordance with Zhao et al. (2007)
<doi:10.1366/000370207782597003>, and identifying spectra using an onboard
reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>).
Analyzed spectra can be shared with the Open Specy community. A Shiny app is
available via run_app() or online at
<https://openanalysis.org/openspecy/>.

Ian Fellows, using the JMapViewer library by Jan Peter Stotz
Access to high quality open street map raster images.
methods, rJava, sp, maptools, raster, R (>= 2.10.0)

Accesses high resolution raster maps. Dozens of road,
satellite, and topographic map servers are directly supported,
including CloudMade, Mapnik, Bing, stamen, and MapQuest. Maps
can be plotted using either base graphics, or ggplot2.
rJava, methods, raster, rgdal, R (>= 2.10.0)
ggplot2 (>= 0.9.0), sp, colorspace, maptools