nowley_Cstock: Predictions of carbon stock with variance estimates
In brendo1001/ospats: Optimal stratification

Description Usage Format Details References Examples

A data.frame with 4 columns which can be easily transformed into maps. Columns 1 and 2 contain spatial coordinates, while columns 3 and 4 contain predictions of carbon stocks and their prediction variance respectively. Each row more-or-less represents a pixel. This data is good for demonstration of using the ospats algorithm as described in de Gruijter et al. (2015).

1	data(nowley_Cstock)

nowley_Cstock is a 4 column, 4382 row data.frame.

This is an example data set in order to familiarize users to the working and inputs required for operationalising the ospatsF algorithm.

de Gruijter, J.J., Minasny, B., McBratney, A.B., (2015) Optimizing Stratification and Allocation for Design-Based Estimation of Spatial Means Using Predictions with Error. Journal of Survey Statistics and Methodology 3(1), 19-42.
de Gruijter, J.J., McBratney, A.B., Minasny, B., Wheeler, I., Malone, B.P., Stockmann, U., (2016) Farm-scale soil carbon auditing. Geoderma 265, 120-130.

###Not Run
#library(ospats)
#data(nowley_Cstock)
#str(nowley_Cstock)

#library(raster)
#prediction
#p.map<- rasterFromXYZ(nowley_Cstock[,c(1:3)])
#plot(p.map)

#variance
#u.map<- rasterFromXYZ(nowley_Cstock[,c(1,2,4)])
#plot(u.map)
###