From multiple download*s, dataset*s or sites, join them together into a single object.

bind(x, ...)

Arguments

x

An object returned by one of the get_* commands for download, site or dataset.

...

other objects of the same class.

Value

This command returns a larger list.

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.

References

Neotoma Project Website: http://www.neotomadb.org

Author

Simon J. Goring [email protected]

Examples

if (FALSE) { # 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) }