Spatial Predictive Modeling

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Documentation for package ‘spm2’ version 1.1.3

• DESCRIPTION file.

Help Pages

bees	A dataset of bees count data and relevant information in oilseed Brassica fields in an Australian temperate landscape.
ccr	Correct classification rate for predictive models based on cross -validation
cran-comments	Note on notes
datasplit	Split data for k-fold cross-validation
decimaldigit	Digit number after decimal point for a numeric variable
gbmkrigeidwcv	Cross validation, n-fold and leave-one-out for the hybrid methods of generalized boosted regression modeling ('gbm'), 'kriging' and inverse distance weighted ('IDW').
gbmkrigeidwpred	Generate spatial predictions using the hybrid methods of generalized boosted regression modeling ('gbm'), 'kriging' and inverse distance weighted ('IDW').
glmcv	Cross validation, n-fold and leave-one-out for generalised linear models ('glm')
glmidwcv	Cross validation, n-fold and leave-one-out for the hybrid method of generalised linear models ('glm') and inverse distance weighted ('IDW') ('glmidw')
glmidwpred	Generate spatial predictions using the hybrid method of generalised linear models ('glm') and inverse distance weighted ('IDW') ('glmidw')
glmkrigecv	Cross validation, n-fold and leave-one-out for the hybrid method of generalised linear models ('glm') and 'krige' ('glmkrige')
glmkrigeidwcv	Cross validation, n-fold and leave-one-out for the hybrid methods of generalised linear models ('glm'), 'kriging' and inverse distance weighted ('IDW').
glmkrigeidwpred	Generate spatial predictions using the hybrid methods of generalised linear models ('glm'), 'kriging' and inverse distance weighted ('IDW').
glmkrigepred	Generate spatial predictions using the hybrid method of generalised linear models ('glm') and 'krige'
glmnetcv	Cross validation, n-fold and leave-one-out, for 'glmnet' in 'glmnet' package
glmpred	Generate spatial predictions using generalised linear models ('glm')
glscv	Cross validation, n-fold and leave-one-out for generalized least squares ('gls')
glsidwcv	Cross validation, n-fold and leave-one-out for the hybrid method of generalized least squares ('gls') and inverse distance weighted ('idw') (glsidw)
glsidwpred	Generate spatial predictions using the hybrid method of generalized least squares ('gls') and inverse distance weighted ('IDW') ('glsidw')
glskrigecv	Cross validation, n-fold and leave-one-out for the hybrid method of generalized least squares ('gls') and kriging ('krige') ('glskrige')
glskrigeidwcv	Cross validation, n-fold and leave-one-out for the hybrid methods of generalised least squares ('gls'), 'kriging' and inverse distance weighted ('IDW')
glskrigeidwpred	Generate spatial predictions using the hybrid methods of generalised least squares ('gls'), 'kriging' and inverse distance weighted ('IDW')
glskrigepred	Generate spatial predictions using the hybrid method of generalized least squares ('gls') and kriging ('krige') ('glskrige')
glspred	Generate spatial predictions using generalized least squares ('gls')
krigecv	Cross validation, n-fold and leave-one-out for kriging methods ('krige')
krigepred	Generate spatial predictions using kriging methods ('krige')
rfkrigeidwcv	Cross validation, n-fold and leave-one-out for the hybrid methods of 'random forest' ('RF'), 'kriging' and inverse distance weighted ('IDW')
rfkrigeidwpred	Generate spatial predictions using the hybrid methods of 'random forest' ('RF'), 'kriging' and inverse distance weighted ('IDW').
sponge2	A dataset of sponge species richness in the Timor Sea region, northern Australia marine margin
spongelonglat	A dataset of sponge species richness in the Timor Sea region, northern Australia marine margin
svmcv	Cross validation, n-fold and leave-one-out for support vector machine ('svm')
svmidwcv	Cross validation, n-fold and leave-one-out for the hybrid method of support vector machine ('svm') regression and inverse distance weighted ('IDW') (svmidw)
svmidwpred	Generate spatial predictions using the hybrid method of support vector machine ('svm') regression and inverse distance weighted ('IDW') ('svmidw')
svmkrigecv	Cross validation, n-fold and leave-one-out for the hybrid method of support vector machine ('svm') regression and 'krige' (svmkrige)
svmkrigeidwcv	Cross validation, n-fold and leave-one-out for the hybrid methods of support vector machine ('svm') regression , 'kriging' and inverse distance weighted ('IDW').
svmkrigeidwpred	Generate spatial predictions using the hybrid methods of support vector machine ('svm') regression , 'kriging' and inverse distance weighted ('IDW').
svmkrigepred	Generate spatial predictions using the hybrid method of support vector machine ('svm') regression and 'krige' (svmkrige)
svmpred	Generate spatial predictions using support vector machine ('svm')
tpscv	Cross validation, n-fold and leave-one-out for thin plate splines ('TPS')