Visualization functions

Overview

This article illustrates the visualization functions available in ReLTER.inatEnrich using occurrence data from the Gran Paradiso National Park eLTER site — one of the long-term ecosystem research sites within the eLTER-RI network. Functions cover taxonomic composition, conservation status, temporal distribution, and the contribution of observations to eLTER Standard Observations (SOs).

# Occurrence data from Gran Paradiso National Park eLTER site
# DEIMS-ID: https://deims.org/15c3e841-8494-42d2-a44e-c49a0ff25946 <- 
df <- ReLTER.inatEnrich::occ_eLTER_legal
site_boundary <- ReLTER.inatEnrich::site_boundary

Taxonomic composition

iconic_taxa() shows the number of observations and species per iNaturalist iconic taxon group.

iconic_taxa(df)

Top observed species

top_n_species() displays the most observed species coloured by iconic taxon group.

top_n_species(df, n = 10)

Temporal distribution

By year

obs_per_year(df)

By month

obs_per_month(df)

By hour of the day

obs_per_hour(df)

Conservation category

obs_pie_chart() summarises species by conservation category following a fixed priority order: Alien (IAS) > Habitats Directive > Birds Directive > Other.

obs_pie_chart(df)

eLTER RI Standard Observation

obs_SO_pie_chart() shows how observations contribute to eLTER Standard Observations SOBIO_014 (Flying insects) and SOBIO_018 (Acoustic recording — birds, bats, amphibians and orthoptera). Orthoptera contribute to both SOs simultaneously.

obs_SO_pie_chart(df)

Interactive maps

species_richness_map() produces an interactive Leaflet map where each grid cell is coloured by species richness.

species_richness_map(
  df = occ_eLTER_legal,
  site_boundary = site_boundary,
  cell_size = 0.01
)

create_leaflet_occ_map() shows each observation as a circle marker coloured by iconic taxon group, with a detailed popup per observation.

create_leaflet_occ_map(
  occ_enriched = occ_eLTER_legal,
  site_boundary = site_boundary
)