gstat packageA class containing input and output maps generated through the process of geostatistical mapping. Object of this class can be directly visualized in Google Earth by using the plotKML-method.
variable:object of class "character"; variable name
observed:object of class "SpatialPointsDataFrame" (must be 2D); see sp::SpatialPointsDataFrame
regModel.summary:contains the summary of the regression model
vgmModel:object of class "data.frame"; contains the variogram parameters passed from gstat
predicted:object of class "SpatialPixelsDataFrame"; see sp::SpatialPixelsDataFrame
validation:object of class "SpatialPointsDataFrame" containing results of validation
signature(x = "SpatialPredictions"): spatial predictions, regression model (observed vs predicted), original variogram and variogram for residuals
signature(obj = "SpatialPredictions"): plots all objects in Google Earth
signature(obj = "SpatialPredictions"): summarize object by showing the mapping accuracy (cross-validation) and the amount of variation explained by the model
Hengl, T. (2009) A Practical Guide to Geostatistical Mapping, 2nd Edt. University of Amsterdam, www.lulu.com, 291 p.
Hengl, T., Nikolic, M., MacMillan, R.A., (2012) Mapping efficiency and information content. International Journal of Applied Earth Observation and Geoinformation, special issue Spatial Statistics Conference.
plotKML-method, GSIF::fit.gstatModel, gstat::gstat-class, RasterBrickSimulations-class