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Spatial Predictive Modeling with R

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Τίτλος: Spatial Predictive Modeling with R
Περιγραφή: 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.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.
Συγγραφείς: Jin Li
Resource Type: eBook.
Θέματα: Computer simulation, R (Computer program language)
Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Probability & Statistics / Time Series, TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems
Βάση Δεδομένων: eBook Index
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  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3032111
RelevancyScore: 962
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 962.24267578125
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  Data: 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.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.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 003.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
    Titles:
      – TitleFull: Spatial Predictive Modeling with R
        Type: main
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          Name:
            NameFull: Jin Li
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            NameFull: Jin Li
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 16
              M: 03
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9780367550547
            – Type: isbn-print
              Value: 9780367550561
            – Type: isbn-electronic
              Value: 9781000542608
            – Type: isbn-electronic
              Value: 9781000542639
            – Type: isbn-electronic
              Value: 9781003091776
          Titles:
            – TitleFull: Spatial Predictive Modeling with R
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