Название: Spatial Predictive Modelling with RАвтор: Jin Li
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 404
Размер: 75 Mb
Язык: English
Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.
The key features of this book are:
•Systematically introducing major components of SPM process.
•Novel hybrid methods (228 hybrids plus numerous variants) of modern statistical methods or machine learning methods with mathematical and/or univariate geostatistical methods.
•Novel predictive accuracy-based variable selection techniques for spatial predictive methods.
•Predictive accuracy-based parameter/model optimization.
•Reproducible examples for SPM of various data types in R.