Spatial Predictive Modeling

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Documentation for package ‘spm2’ version 1.1.3

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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')