Spatial Predictive Modeling with R
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The key features of this book are:
âĸSystematically introducing major components of SPM process.
âĸNovel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.
âĸNovel predictive accuracy-based variable selection techniques for spatial predictive methods.
âĸPredictive accuracy-based parameter/model optimization.
âĸReproducible examples for SPM of various data types in R.
This book provides guidelines, recommendations, and reproducible examples for developing optimal predictive models by considering various components and associated factors for quality-improved spatial predictions. It provides valuable tools for researchers, modelers, and university students not only in SPM field but also in other predictive modeling fields.
Dr Li has produced over 100 various publications in spatial predictive modelling, statistical computing, ecological and environmental modelling, and ecology, developed a number of hybrid methods for SPM, and published four R packages for variable selections as well as SPM.
