https://github.com/big-biodiversity-collaborative/zoohotspot

Analysis of Zoological Parks as hotspots for urban pollinator biodiversity

https://github.com/big-biodiversity-collaborative/zoohotspot

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Analysis of Zoological Parks as hotspots for urban pollinator biodiversity

Basic Info
  • Host: GitHub
  • Owner: Big-Biodiversity-Collaborative
  • Language: R
  • Default Branch: main
  • Size: 2.35 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 11 months ago
Metadata Files
Readme

README.md

Zoo Hotspots

Summary

This project uses community science observations of butterflies to compare biodiversity in zoological parks to that of surrounding urban areas in the southwestern United States of America. It uses two measures, species richness and Shannon's Index of diversity, along with bootstrapping replicates to illustrate how relatively small zoological parks serve as biodiversity hotspots for urban areas.

Dependencies

The data downloads, analyses, and visualization are written in R and use the following additional R packages:

  • dplyr: general data wrangling
  • extrafont: use of Arial font in plots
  • ggplot2: data visualization
  • ggpubr: multi-panel plots
  • osmdata: querying OpenStreetMaps for city boundaries
  • rgbif: downloading data from GBIF
  • sf: point filtering of city observations (with osmdata)
  • stringr: text formatting in data visualization
  • tidyr: general data wrangling

Project organization

R scripts for data downloads, analysis, and visualization are included in the top-level folder. Additional folders and contents are:

  • data: information about gardens (coordinate bounding boxes, cities) and rainfall for corresponding cities
    • gbif: community science records for gardens and cities downloaded from GBIF; dataset record 10.15468/dd.uqf3vw
  • functions: utility function to help with pageination during GBIF downloads
  • output: plots and output tables; most files are not under version control

Owner

  • Name: Big-Biodiversity-Collaborative
  • Login: Big-Biodiversity-Collaborative
  • Kind: organization
  • Email: klprudic@arizona.edu

Code for analyzing biodiversity citizen science data

GitHub Events

Total
  • Push event: 38
  • Public event: 1
Last Year
  • Push event: 38
  • Public event: 1