Data cleaning step 1

With each step note the number of records that you are removing

Removing data recorded based on fossil or living specimens, and records from alien/invasive populations

clean_step1 <- gbif_download %>%
  as_tibble() %>%
  filter(!basisofrecord %in% c("FOSSIL_SPECIMEN",
                               "LIVING_SPECIMEN"),
         !establishmentmeans %in% c("MANAGED",
                                    "INTRODUCED",
                                    "INVASIVE",
                                    "NATURALISED"))
print(paste0(nrow(gbif_download)-nrow(clean_step1), " records deleted; ",
             nrow(clean_step1), " records remaining."))

Plotting raw records vs. cleaned records (step 1)

ggplot() +
  geom_sf(data = world_map) +
  geom_point(data = gbif_download,
             aes(x = decimallongitude,
                 y = decimallatitude),
             shape = "+",
             color = "black") +
  geom_point(data = clean_step1,
             aes(x = decimallongitude,
                 y = decimallatitude),
             shape = "+",
             color = "red") +
  theme_bw()
lemur cleaning 1

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