From multiple download*
s, dataset*
s or site
s, join them together into a single object.
Details
To support further synthesis and analysis compile_download
works to transform a list
returned by get_download
into a large data frame with columns for site and sample attributes
and also with the associated assemblage data at each sample depth. This function also does the same for
single sites.
Author
Simon J. Goring simon.j.goring@gmail.com
Examples
if (FALSE) { # \dontrun{
# Search for sites with "Thuja" pollen that are older than 8kyr BP and
# that are on the west coast of North America:
t8kyr.poa <- get_dataset(taxonname="Thuja*",
loc=c(-150, 20, -100, 60), ageyoung = 8000)
t8kyr.canis <- get_dataset(taxonname="Canis*",
loc=c(-150, 20, -100, 60), ageyoung = 8000)
t8kyr.co_site <- bind(t8kyr.poa, t8kyr.canis)
plot(t8kyr.co_site)
####
# We want to look at four different dataset types across a forest-prairie
# boundary:
dataset_types <- c("ostracode surface sample",
"water chemistry",
"diatom surface sample",
"pollen surface sample")
# Run the `get_dataset` function for each of the different dataset types
dataset_lists <- lapply(dataset_types,
function(x) {
get_dataset(datasettype=x,
loc = c(-100,43,-92,48))
})
# Using do.call here to make sure that I don't have to split the list out.
new_datasets <- do.call(bind, dataset_lists)
# And voila!
plot(new_datasets)
} # }