# data_list_i <- ecocomDP::read_data(
# id = "neon.ecocomdp.10043.001.001",
# # site= c('COMO','LECO','BART','NIWO'),
# # startdate = "2017-06",
# # enddate = "2019-02",
# neon.data.save.dir = "NEON_raw_data",
# token = Sys.getenv("NEON_TOKEN"),
# check.size = FALSE
# )
data_list_i <- ecocomDP::read_data(
id = "neon.ecocomdp.10043.001.001",
site= "BART",
startdate = "2017-06",
enddate = "2019-02",
neon.data.save.dir = "NEON_raw_data",
token = Sys.getenv("NEON_TOKEN"),
check.size = FALSE,
release = "RELEASE-2022"
)
ecocomDP::plot_sample_space_time(data_list_i)
# ecocomDP::plot_sites(data_list_i)
ecocomDP::plot_taxa_abund(data_list_i)
ecocomDP::plot_taxa_accum_sites(data_list_i)
ecocomDP::plot_taxa_rank(data_list_i,facet_var = "siteID")
ecocomDP::plot_taxa_occur_freq(data_list_i,min_occurrence = 10,facet_var = "siteID")
dat_flat <- data_list_i %>% ecocomDP::flatten_data()
dat_flat %>% dplyr::filter(siteID == c("TREE","BART")) %>%
ecocomDP::plot_taxa_diversity(time_window_size = "year")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.