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Application of random forest, generalised linear model and their hybrid...
Spatial distribution of sponge species richness (SSR) and its relationship with environment are important for marine ecosystem management, but they are either unavailable or... -
Assessing the accuracy of predictive models for numerical data: Not r nor...
Assessing the accuracy of predictive models is critical because predictive models have been increasingly used across various disciplines and predictive accuracy determines the... -
Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using...
Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this... -
A new R package for spatial predictive modelling: spm
The accuracy of spatially continuous environmental data, usually generated from point samples using spatial prediction methods, is crucial for evidence-informed environmental... -
A Critical Review of Spatial Predictive Modeling Process in Environmental...
Spatial predictive methods are increasingly being used to generate predictions across various disciplines in environmental sciences. Accuracy of the predictions is critical as... -
Assessing the accuracy of spatial predictive models in the environmental sciences
Spatial predictive models have been increasingly employed to generate spatial predictions for environmental management and conservation in parallel to the advancement in data...
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