GSIF (version 0.3-1)

summary-methods: Summarize an object of class "SpatialPredictions"

Description

Derives a statistical summary for an object of class "SpatialPredictions".

Usage

## S3 method for class 'SpatialPredictions':
summary(object)

Arguments

object

object of class "SpatialPredictions"

Value

• The summary returns a data.frame with the following columns: [object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Details

The function creates a summary table with standard column names. These tell us what is the summary accuracy of the spatial predictions and what are the effective bytes of information produced.

References

• Hengl, T., Nikolic, M., MacMillan, R.A., (2013)http://dx.doi.org/10.1016/j.jag.2012.02.005{Mapping efficiency and information content}. International Journal of Applied Earth Observation and Geoinformation, special issue Spatial Statistics Conference, 22: 127--138.

See Also

plotKML::SpatialPredictions-class

Examples

## load observations:
library(sp)
library(rgdal)
loadMeuse()
## fit a model:
omm <- fit.gstatModel(meuse, om~dist, family=gaussian(link="log"), meuse.grid)
show(omm@regModel)
## produce SpatialPredictions:
om.rk <- predict(omm, predictionLocations = meuse.grid)
x = summary(om.rk)
str(x)