Spatial Predictive Modeling with R

The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. It could be used as a reference for researchers and practitioners in industry. It could also be used as a course text for graduate students of spatial st...

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Bibliographic Details
Main Author Li, Jin
Format eBook
LanguageEnglish
Published United States CRC Press 2022
CRC Press LLC
Chapman & Hall
Edition1
Subjects
ENVIROnetBASE
Environmental
ENVIRONMENTALSCIENCEnetBASE
Geostatistics
Machine learning
Probabilities & applied mathematics
R (Computer program language)
SCI-TECHnetBASE
Spatial analysis (Statistics)
Spatio-temporal
Statistical Theory & Methods
Statistics & Computing
STATSnetBASE
STMnetBASE
Visualization
Spatio-temporal
Visualization
Spatial Predictive Modeling
Grid Data Set
Data Set
Hybrid Method
SVM Regression Model
Variable Selection Methods
Sub-data Set
Spatial Interpolation Methods
Numerous Hybrid Methods
Topographic Position Index
Predictive Error
Optimal Alpha
Environmental
Geostatistics
Stratified Random Sampling Method
Optimal Predictive Model
Average Predictive Accuracy
Predictive Accuracy
Variogram Modeling
Predictive Variables
10-fold Cross-validation
Spatial Predictions
Machine learning
RF Tree
Anisotropy Parameters
RF Model
Search Window
Gstat Package
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Summary:The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. It could be used as a reference for researchers and practitioners in industry. It could also be used as a course text for graduate students of spatial statistics.
ISBN:1000542602
9781000542608
0367550563
9780367550561
0367550547
9780367550547
DOI:10.1201/9781003091776