Spatial Predictive Modeling


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Documentation for package ‘spm’ version 1.0.0

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gbmcv Cross validation, n-fold for generalized boosted regression modeling (gbm)
gbmidwcv Cross validation, n-fold for the hybrid method of generalized boosted regression modeling and inverse distance weighting (gbmidw)
gbmidwpred Generate spatial predictions using the hybrid method of generalized boosted regression modeling and ordinary kriging (gbmidw)
gbmokcv Cross validation, n-fold for the hybrid method of generalized boosted regression modeling and ordinary kriging (gbmok)
gbmokgbmidwcv Cross validation, n-fold for the average of the hybrid method of generalized boosted regression modeling and ordinary kriging and the hybrid method of generalized boosted regression modeling and inverse distance weighting (gbmokgbmidw)
gbmokgbmidwpred Generate spatial predictions using the average of the hybrid method of generalized boosted regression modeling and ordinary kriging and the hybrid method of generalized boosted regression modeling and inverse distance weighting (gbmokgbmidw)
gbmokpred Generate spatial predictions using the hybrid method of generalized boosted regression modeling and ordinary kriging (gbmok)
gbmpred Generate spatial predictions using generalized boosted regression modeling (gbm)
hard A dataset of seabed hardness in the eastern Joseph Bonaparte Golf, northern Australia marine margin
idwcv Cross validation, n-fold for inverse distance weighting (IDW)
idwpred Generate spatial predictions using inverse distance weighting (IDW)
okcv Cross validation, n-fold for ordinary kriging (OK)
okpred Generate spatial predictions using ordinary kriging (OK)
petrel A dataset of seabed sediments in the Petrel sub-basin in Australia Exclusive Economic Zone
petrel.grid A dataset of grids for producing spatial predictions of seabed sediment content in the Petrel sub-basin in Australia Exclusive Economic Zone
pred.acc Predictive error and accuracy measures for predictive models based on cross-validation
RFcv Cross validation, n-fold for random forest (RF)
rfidwcv Cross validation, n-fold for the hybrid method of random forest and inverse distance weighting (RFIDW)
rfidwpred Generate spatial predictions using the hybrid method of random forest and inverse distance weighting (RFIDW)
rfokcv Cross validation, n-fold for the hybrid method of random forest and ordinary kriging (RFOK)
rfokpred Generate spatial predictions using the hybrid method of random forest and ordinary kriging (RFOK)
rfokrfidwcv Cross validation, n-fold for the average of the hybrid method of random forest and ordinary kriging and the hybrid method of random forest and inverse distance weighting (RFOKRFIDW)
rfokrfidwpred Generate spatial predictions using the average of the hybrid method of random forest and ordinary kriging and the hybrid method of random forest and inverse distance weighting (RFOKRFIDW)
rfpred Generate spatial predictions using random forest (RF)
sponge A dataset of sponge species richness in the Timor Sea region, northern Australia marine margin
sponge.grid A dataset of predictors for generating sponge species richness in a selected region in the Timor Sea region, northern Australia marine margin
sw A dataset of grids for producing spatial predictions of seabed mud content in the southwest Australia Exclusive Economic Zone
swmud A dataset of seabed mud content in the southwest Australia Exclusive Economic Zone
vecv Variance explained by predictive models based on cross-validation