rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatial modeling in GIS and R for earth and environmental sciences
  title info:
    title: Spatial modeling in geographic information system and R for earth and environmental sciences
  name:
    name part: Pourghasemi, Hamid Reza
    role:
      role term: editor.
  name:
    name part: Gokceoglu, Candan
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  genre: geographic information systems.
  genre: Geographic information systems
  genre: Geographic information systems.
  genre: Systèmes d'information géographique.
  origin info:
    place:
      place term: ne
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxviii, 770 pages) : illustrations (chiefly color), maps
  abstract: "Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling."--Provided by publisher
  table of contents: Front Cover; Spatial Modeling in GIS and R for Earth and Environmental Sciences; Copyright Page; Dedication; Contents; List of Contributors; 1 Spatial Analysis of Extreme Rainfall Values Based on Support Vector Machines Optimized by Genetic Algorithms: The Case of ... ; 1.1 Introduction; 1.2 The Study Area; 1.3 Methodology and Data; 1.4 Results; 1.5 Performance Criteria; 1.6 Discussion; 1.7 Conclusions; References; 2 Remotely Sensed Spatial and Temporal Variations of Vegetation Indices Subjected to Rainfall Amount and Distribution Prope ... ; 2.1 Introduction; 2.2 Materials and Methods
  table of contents: 2.2.1 Study Area2.2.2 Data; 2.2.3 Vegetation Indices; 2.2.4 Rainfall Distribution Parameters; 2.3 Results and Discussion; 2.3.1 Vegetation Indices; 2.3.1.1 Normalized Difference Vegetation Index; 2.3.1.2 Spatial Variations of the Normalized Difference Vegetation Index; 2.3.1.3 Green Normalized Difference Vegetation Index; 2.3.1.4 Global Environmental Monitoring Index; 2.3.2 Spatial Normalized Differential Reflectance and Shortwave Crop Reflectance Index; 2.3.3 Rainfall Properties Versus Normalized Difference Vegetation Index, Green Normalized Difference Vegetation Index, Glob ...
  table of contents: 2.3.3.1 Prespring Rainfall2.3.3.2 Cumulative Rainfall; 2.3.3.3 Rainfall Distribution; 2.4 Conclusion; References; Further Reading; 3 Numerical Recipes for Landslide Spatial Prediction Using R-INLA: A Step-by-Step Tutorial; 3.1 Introduction; 3.2 Dataset Description and Preparation; 3.2.1 Multiple Occurrence Regional Landslide Event, Messina, 2009; 3.2.2 Computing Slope Units in GIS; 3.3 Point Process Modeling and Estimation Using R-INLA; 3.3.1 Preprocessing; 3.3.2 Fitting a Cox Point Process Model Using R-INLA; 3.4 Results; 3.4.1 Estimated Fixed and Random Effects
  table of contents: 3.4.2 Estimated Landslide Intensity at Various Spatial Resolutions3.4.3 Model Checking and Goodness-of-Fit Assessment; 3.4.4 Cross-Validation Study and Out-of-Sample Predictive Skill; 3.5 Discussion; 3.6 Conclusion; References; 4 Geospatial Multicriteria Decision Analysis in Forest Operational Planning; 4.1 Introduction; 4.1.1 Multicriteria Decision Elements; 4.1.1.1 Decision-Maker Analysis; 4.1.1.2 Hierarchical Structure; 4.1.1.3 Decision Elements; Criteria and Subcriteria; Decision Alternatives; 4.1.1.4 Interpretation Findings; 4.1.2 Classification of Spatial Decision Support System
  table of contents: 4.1.2.1 Geostatistical Analysis With R packages4.1.2.2 Forest Management Hierarchy; Strategic Planning; Tactical Planning; Operational Planning; 4.1.3 A Perspective of Forest Resource Management in Iran; 4.1.3.1 General Information; 4.1.3.2 The Role of Decision Support Systems in Iranian Forestry; 4.2 Planning Problems; 4.3 Methods; 4.3.1 Multicriteria Decision Analysis; 4.3.2 Geostatistical Analysis; 4.3.3 Spatial Modeling Procedure; 4.3.4 Model Application; 4.4 Results; 4.4.1 The Current Conditions of the Terrain; 4.5 Discussion; 4.6 Conclusions; Acknowledgments; References; Further Reading
  note: edited by Hamid Reza Pourghasemi, Candan Goceoglu.
  note: Includes bibliographical references and index.
  subject:
    topic: Earth sciences
    topic: Remote sensing
  subject:
    topic: Environmental monitoring
    topic: Remote sensing
  subject:
    topic: Geographic information systems
  subject:
    topic: R (Computer program language)
  subject:
    topic: Geospatial data
    topic: Computer processing
  subject:
    topic: Geographic Information Systems
  subject:
    topic: Sciences de la terre
    topic: Télédétection
  subject:
    topic: Environnement
    topic: Surveillance
    topic: Télédétection
  subject:
    topic: Systèmes d'information géographique
  subject:
    topic: R (Langage de programmation)
  subject:
    topic: Données géospatiales
    topic: Informatique
  subject:
    topic: geographic information systems
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Environmental
    topic: General
  subject:
    topic: Geospatial data
    topic: Computer processing
  subject:
    topic: Earth sciences
    topic: Remote sensing
  subject:
    topic: Environmental monitoring
    topic: Remote sensing
  subject:
    topic: Geographic information systems
  subject:
    topic: R (Computer program language)
  classification: GE45.R44
  classification: 628.028/7
  related item:
    title info:
      title: Spatial modeling in GIS and R for earth and environmental sciences
    origin info:
      publisher: Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, 2019
    identifier: (OCoLC)1084302116
  identifier: 9780128156957
  identifier: 0128156953
  identifier: 9780128152263
  identifier: 0128152265
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 190123
    record change date: 20260327154429.3
    record identifier: in00005764404
    language of cataloging:
      language term: eng