Description Usage Arguments Details Value Author(s) References Examples
From multiple download*
s, dataset*
s or site
s, join them together into a single object.
1 |
x |
An object returned by one of the |
... |
other objects of the same class. |
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.
This command returns a larger list.
Simon J. Goring simon.j.goring@gmail.com
Neotoma Project Website: http://www.neotomadb.org
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ## Not run:
# 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)
## End(Not run)
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