spliceSSNSites: Introduce new sites into a SpatialStreamNetwork object from a...

In apear9/SSNdesign: An R Package for Optimal and Adaptive Sampling Designs on Stream Networks

Description

This function does the reverse of splitSSNSites. Instead of separating a SpatialStreamNetwork object into different shapefiles, this function combines a set of observed points from a shapefile with an existing SSN object.

Usage

spliceSSNSites(ssn, new.ssn.path, splice.obs, splice.preds = NULL)

Arguments

ssn	An object of class SpatialStreamNetwork
new.ssn.path	A file path to a folder to store the augmented ssn.
splice.obs	A file path for the shapefile of observed sites which should be brought into the ssn object.
splice.preds	Optionally a file path for a shapefile of prediction points which should also be brought into the ssn object. This can be (and is by default) NULL if there are no such prediction points.

Details

As for splitSSNSites, this function is wrapped by optimiseSSNDesign. While optimiseSSNDesign should be sufficient for solving most adaptive design problems, more specialised or unusual applicaitons may require this function to be used separately.

Value

An object of class SpatialStreamNetwork that contains the old and new sites.

Examples

## Not run: 

s <- createSSN(10, binomialDesign(100, 2), path = tempPath("r.ssn"), importToR = T)

# Split SSN sites into two shapefiles, one for each year
split <- splitSSNSites(s, tempPath("split.ssn"), "Time", FALSE, tempdir())

# Join the year 2 shapefile back to the year 1 shapefile in the SSN
spliced <- spliceSSNSites(split, tempPath("spliced.ssn"), paste0(tempdir(), "/sites2.shp"))


## End(Not run)
 

apear9/SSNdesign documentation built on Feb. 19, 2020, 4:29 a.m.