Package: rinat 0.1.10.9000

Stéphane Guillou

rinat: Access 'iNaturalist' Data Through APIs

A programmatic interface to the API provided by the 'iNaturalist' website <https://www.inaturalist.org/> to download species occurrence data submitted by citizen scientists.

Authors:Vijay Barve [aut], Edmund Hart [aut], Stéphane Guillou [cre]

rinat_0.1.10.9000.tar.gz
rinat_0.1.10.9000.zip(r-4.7)rinat_0.1.10.9000.zip(r-4.6)rinat_0.1.10.9000.zip(r-4.5)
rinat_0.1.10.9000.tgz(r-4.6-any)rinat_0.1.10.9000.tgz(r-4.5-any)
rinat_0.1.10.9000.tar.gz(r-4.7-any)rinat_0.1.10.9000.tar.gz(r-4.6-any)
rinat_0.1.10.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rinat/json (API)

# Install 'rinat' in R:
install.packages('rinat', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ropensci/rinat/issues

Pkgdown/docs site:https://docs.ropensci.org

On CRAN:

Conda:

inaturalistspocc

8.32 score 69 stars 305 scripts 992 downloads 1 mentions 7 exports 29 dependencies

Last updated from:44c9f1c892 (on master). Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
pkgdown docsOK190
source / vignettesOK205
linux-release-x86_64OK174
macos-release-arm64OK131
macos-oldrel-arm64OK107
windows-develOK101
windows-releaseOK87
windows-oldrelOK85
wasm-releaseOK160

Exports:get_inat_obsget_inat_obs_idget_inat_obs_projectget_inat_obs_userget_inat_taxon_statsget_inat_user_statsinat_map

Dependencies:askpassclicpp11curlfarverggplot2gluegtablehttrisobandjsonlitelabelinglatticelifecyclemapsmimeopensslplyrR6RColorBrewerRcpprlangS7scalesspsysvctrsviridisLitewithr

Access iNaturalist data through APIs
About | Quickstart guide | Get observations | Fuzzy search | Taxon search | Bounding box search | Other functions | Get information and observations by project | Get observation details | Get all observations by user | Stats by taxa | Stats by user | Mapping
Rendered fromrinat-intro.Rmdusingknitr::rmarkdown

Last update: 2022-06-13
Started: 2020-09-05

Worked Example: Species Distribution
Acquire data | Prepare the data | Visualise | Remove outliers
Rendered fromspecies-distribution.Rmdusingknitr::rmarkdown

Last update: 2022-06-13
Started: 2022-06-11