loading the required packages

library(leaflet)
library(htmltools)
library(RColorBrewer)
library(rgbif)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ ggplot2   4.0.2     ✔ tibble    3.3.1
## ✔ lubridate 1.9.5     ✔ tidyr     1.3.2
## ✔ purrr     1.2.1     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(sf)
## Linking to GEOS 3.13.0, GDAL 3.8.5, PROJ 9.5.1; sf_use_s2() is TRUE

Importing a subset of the data, containing just the fish family I am interested in, for the map.

#download key
res <- "0003331-260225131425191"

centrarchidae<- occ_download_get(res) %>% occ_download_import() %>% 
  filter(family == 'Centrarchidae')
## Download file size: 5.33 MB
## file exists & overwrite=FALSE, not overwriting...

Downloaded dataset has coordinates but isn’t seen as a spatial object by R, just as a dataset. This code converts it into a spatial object needed to plot it on a map

centrarchidae<- st_as_sf(centrarchidae, coords = c('decimalLongitude','decimalLatitude'), crs =4326)

creating a color palette for the different species that will be plotted on the map

pal <- c('#8F00FF','#FB00FF','#00D2FF','#00FF47')

This piece of code creates an interactive map and plots where each species of centrachidae found in South africa have occured.

leaflet() %>%
  addTiles(group = 'specificEpithet') %>%
  addCircleMarkers(data =  centrarchidae,
                   group =c("macrochirus","dolomieu",'punctulatus','salmoides'),
                   radius = 0.5,
                   color = pal,
                   opacity =1) %>%
  addLegend(position = "topleft",
            color=pal,
            labels = c("Bluegill","Smallmouth Bass",'Spotted Bass','Largemouth Bass (Florida var.)'))