Species

Why Butte County? I went to college at California State University, Chico - in Butte County, CA. I did a BA degree in Biology there. It was a great program as it was heavily focused on natural history - with classes on herps, birds, insects, fish, etc. Specimen collections data Specimen collections data are increasingly being digitized, and often accessed via largeish platforms like GBIF and iDigBio. Here I’ll explore Butte County data found with iDigBio with the spocc R package....

gbifrb is a new Ruby client for the GBIF API. docs: https://www.rubydoc.info/gems/gbifrb/ rubygems: https://rubygems.org/gems/gbifrb code: https://github.com/sckott/gbifrb I maintain (w/ help) two other GBIF API clients: Python: pygbif R: rgbif API Here’s the gbifrb methods in relation to GBIF API routes registry /node - Gbif::Registry.nodes /network - Gbif::Registry.networks /installations - Gbif::Registry.installations /organizations - Gbif::Registry.organizations /dataset_metrics - Gbif::Registry.dataset_metrics /datasets - Gbif::Registry.datasets /dataset_suggest - Gbif::Registry.dataset_suggest /dataset_search - Gbif::Registry.dataset_search species /species/match - Gbif::Species.name_backbone /species/suggest - Gbif::Species....

scrubr is an R library for cleaning species occurrence records. It’s general purpose, and has the following approach: We think using a piping workflow (%>%) makes code easier to build up, and easier to understand. However, you don’t have to use pipes in this package. All inputs and outputs are data.frame’s - which makes the above point easier Records trimmed off due to various filters are retained as attributes, so can still be accessed for later inspection, but don’t get in the way of the data....