Predicting Totals and Weighted Sums from Spatial Data
Creates a systematic grid of points.
Covariance Parameter Estimation Function.
Constructing the generalized inverse of a matrix
Create a default map from predictions
Plot an Empirical Semi-Variogram of Residuals
simulate completely spatially random point patterns.
Extract the AIC from a slmfit object for comparing models.
Plot an Empirical Semi-Variogram of Residuals
Extract Model Coefficients from a slmfit object
Spatial Correlation Models
Estimate Covariance Parameters
Extract Fitted Values from an slmfit object.
Simulate geostatistical data on set of given locations
Display basic summary information in a tabular form.
Create a default map from predictions
Computes the Generalized R-squared.
Convert Lat and Long to Transverse Mercator (TM)
Extract Log-Likelihood from a fitted class slmfit object
Perform Finite Population Block Kriging
Perform Finite Population Block Kriging
Prints a short summary for the predict.slmfit() function.
Prints a short summary for the predict.stratafit() function.
Prints the fitted coefficient table of a fitted spatial linear model.
Prints the summary of a fitted spatial linear model.
Extract Model Residuals from an slmfit object.
Fits a Spatial Linear Model
sptotal: A package used for performing Finite Population Block Kriging...
Fits a Separate Spatial Linear Model for Each Stratum
Summarizes a fitted spatial linear model.
Summarizes a fitted spatial linear model with a stratification variabl...
Semi-variogram computation
Performs predictions of totals and weighted sums, or finite population block kriging, on spatial data using the methods in Ver Hoef (2008) <doi:10.1007/s10651-007-0035-y>. The primary outputs are an estimate of the total, mean, or weighted sum in the region, an estimated prediction variance, and a plot of the predicted and observed values. This is useful primarily to users with ecological data that are counts or densities measured on some sites in a finite area of interest. Spatial prediction for the total count or average density in the entire region can then be done using the functions in this package.