Spatial Predictive Modeling
Correct classification rate for predictive models based on cross -vali...
Note on notes
Split data for k-fold cross-validation
Digit number after decimal point for a numeric variable
Cross validation, n-fold and leave-one-out for the hybrid methods of g...
Generate spatial predictions using the hybrid methods of generalized b...
Cross validation, n-fold and leave-one-out for generalised linear mode...
Cross validation, n-fold and leave-one-out for the hybrid method of ge...
Generate spatial predictions using the hybrid method of generalised li...
Cross validation, n-fold and leave-one-out for the hybrid method of ge...
Cross validation, n-fold and leave-one-out for the hybrid methods of g...
Generate spatial predictions using the hybrid methods of generalised l...
Generate spatial predictions using the hybrid method of generalised li...
Cross validation, n-fold and leave-one-out, for 'glmnet' in 'glmnet' p...
Generate spatial predictions using generalised linear models ('glm')
Cross validation, n-fold and leave-one-out for generalized least squar...
Cross validation, n-fold and leave-one-out for the hybrid method of ge...
Generate spatial predictions using the hybrid method of generalized le...
Cross validation, n-fold and leave-one-out for the hybrid method of ge...
Cross validation, n-fold and leave-one-out for the hybrid methods of g...
Generate spatial predictions using the hybrid methods of generalised l...
Generate spatial predictions using the hybrid method of generalized le...
Generate spatial predictions using generalized least squares ('gls')
Cross validation, n-fold and leave-one-out for kriging methods ('krige...
Generate spatial predictions using kriging methods ('krige')
Cross validation, n-fold and leave-one-out for the hybrid methods of '...
Generate spatial predictions using the hybrid methods of 'random fores...
Cross validation, n-fold and leave-one-out for support vector machine ...
Cross validation, n-fold and leave-one-out for the hybrid method of su...
Generate spatial predictions using the hybrid method of support vector...
Cross validation, n-fold and leave-one-out for the hybrid method of su...
Cross validation, n-fold and leave-one-out for the hybrid methods of s...
Generate spatial predictions using the hybrid methods of support vecto...
Generate spatial predictions using the hybrid method of support vector...
Generate spatial predictions using support vector machine ('svm')
Cross validation, n-fold and leave-one-out for thin plate splines ('TP...
An updated and extended version of 'spm' package, by introducing some further novel functions for modern statistical methods (i.e., generalised linear models, glmnet, generalised least squares), thin plate splines, support vector machine, kriging methods (i.e., simple kriging, universal kriging, block kriging, kriging with an external drift), and novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods for spatial predictive modelling. For each method, two functions are provided, with one function for assessing the predictive errors and accuracy of the method based on cross-validation, and the other for generating spatial predictions. It also contains a couple of functions for data preparation and predictive accuracy assessment.