Some tips and notes that may be useful when working with the included packages.

• Importing and processing spectral and image data with pavo: A introduction to importing and process spectral data and images (from the vignette).

• Batch importing spectral data and metadata with lightr: pavo uses lightr for basic spectral importing, but when more complex parsing is required, or you also want to extract spectral metadata, it’s best to work directly with lightr. This is a brief introduction (from the vignette).

• Analysing spectral and spatial (image) data with pavo: A detailed overview of the spectral and image-based analyses available in pavo (from the vignette).

• Renormalising spectral data with a custom reference: In extreme cases, it may be necessary to use low-level parsers to manually normalise spectra, which lightr provides access to (from the vignette).

• A comparison of spectral parsing with lightr and ‘official’ software: A brief comparison of lightr’s parsers and their official counterparts (from the vignette).