All functions

AIC(<slmfit>)

Extract the AIC from a slmfit object for comparing models.

AKmoose_df

Data Set with Alaska Moose Counts.

GR2()

Computes the Generalized R-squared.

LLtoTM()

Convert Lat and Long to Transverse Mercator (TM)

USlakes

Dissolved Organic Carbon in U.S. Lakes

check.variogram()

Plot an Empirical Semi-Variogram of Residuals

coef(<slmfit>)

Extract Model Coefficients from a slmfit object

corModelExponential() corModelGaussian() corModelSpherical()

Spatial Correlation Models

exampledataset

Data Set with Uncorrelated Poisson Counts.

fitted(<slmfit>)

Extract Fitted Values from an slmfit object.

geostatSim()

Simulate geostatistical data on set of given locations

get.predinfo()

Display basic summary information in a tabular form.

get.predplot()

Create a default map from predictions

loglik.slmfit()

Extract Log-Likelihood from a fitted class slmfit object

m2LL.FPBK.nodet()

Covariance Parameter Estimation Function.

mginv()

Constructing the generalized inverse of a matrix

plot(<predict.slmfit>)

Create a default map from predictions

plot(<slmfit>)

Plot an Empirical Semi-Variogram of Residuals

pointSimCSR()

simulate completely spatially random point patterns.

pointSimSyst()

Creates a systematic grid of points.

predict(<slmfit>)

Perform Finite Population Block Kriging

predict(<stratafit>)

Perform Finite Population Block Kriging

print(<predict.slmfit>)

Prints a short summary for the predict.slmfit() function.

print(<predict.stratafit>)

Prints a short summary for the predict.stratafit() function.

print(<slmfit>)

Prints the fitted coefficient table of a fitted spatial linear model.

print(<summary.slmfit>)

Prints the summary of a fitted spatial linear model.

residuals(<slmfit>)

Extract Model Residuals from an slmfit object.

simdata

Simulated Spatially Autocorrelated Data.

slmfit()

Fits a Spatial Linear Model

sptotal

sptotal: A package used for performing Finite Population Block Kriging (FPBK) on polygonal count data.

stratafit()

Fits a Separate Spatial Linear Model for Each Stratum

summary(<slmfit>)

Summarizes a fitted spatial linear model.

summary(<stratafit>)

Summarizes a fitted spatial linear model with a stratification variable..

sv()

Semi-variogram computation