createRtopObject: Create an object for interpolation within the rtop package
In rtop: Interpolation of Data with Variable Spatial Support

Description Usage Arguments Value Author(s) See Also Examples

This is a help function for creating an object (see rtop-package to be used for interpolation within the rtop package

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createRtopObject(observations, predictionLocations,
   formulaString, params=list(), ainfo, areas, overlapObs,
   overlapPredObs, ...)

`observations`	`SpatialPolygonsDataFrame` with observations
`predictionLocations`	a `SpatialPolygons` or a `SpatialPolygonsDataFrame`-object with prediction locations
`formulaString`	formula that defines the dependent variable as a linear model of independent variables; suppose the dependent variable has name `z`, for ordinary and simple kriging use the formula `z~1`; for universal kriging, suppose `z` is linearly dependent on `x` and `y`, use the formula `z~x+y`. The formulaString defaults to `"value~1"` if `value` is a part of the data set. If not, the first column of the data set is used. Universal kriging is not yet properly implemented in the `rtop`-package, this element is mainly used for defining the dependent variable.
`params`	parameters to modify the standard parameters of the rtop-package, set internally in this function by a call to `getRtopParams`
`ainfo`	`SpatialPointsDataFrame` with information about the observations. Only used here if it contains information for separating the observations into observations and predictionLocations or combining `ainfo` with `areas` to find `observations` and `predictionLocations`(depreceted method). Typically from a call to `readAreaInfo`
`areas`	`SpatialPolygonsDataFrame` with areal information, typically from a call to `readAreas`, depreceted
`overlapObs`	matrix with observations that overlap each other
`overlapPredObs`	matrix with `observations` and `predictionLocations` that overlap each other
`...`	Extra parameters to `getRtopParams` and possibility to pass depreceted arguments

An object of class rtop with observations, prediction locations, parameters and possible other elements useful for interpolation in the rtop-package. Most other externally visible functions in the package will be able to work with this object, and add the results as a new element.

Jon Olav Skoien

rtop-package and getRtopParams

 ## Not run: 
library(rgdal)
rpath = system.file("extdata",package="rtop")
observations = readOGR(rpath,"observations")
# Create a column with the specific runoff:
observations$obs = observations$QSUMMER_OB/observations$AREASQKM
predictionLocations = readOGR(rpath,"predictionLocations")

# Setting some parameters 
params = list(gDist = TRUE, cloud = FALSE)
# Create a column with the specific runoff:
observations$obs = observations$QSUMMER_OB/observations$AREASQKM
# Build an object
rtopObj = createRtopObject(observations, predictionLocations, 
                           params = params)

## End(Not run)