Application of Geostatistical and Geospatial Modeling Panda, Gopal Krishna. editor. edt http://id.loc.gov/vocabulary/relators/edt Shaw, Rajib. editor. edt http://id.loc.gov/vocabulary/relators/edt Pal, Subodh Chandra. editor. edt http://id.loc.gov/vocabulary/relators/edt Chatterjee, Uday. editor. edt http://id.loc.gov/vocabulary/relators/edt Saha, Asish. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XXIV, 712 p. 244 illus., 225 illus. in color. online resource. The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard. Chapter 1. Landslide Risk and Vulnerability; Real issues, Thoughts and Perspectives -- Chapter 2. Landslide Susceptibility Mapping by Using Geospatial Technique: Reference from Hofu City, Yamaguchi Prefecture, Japan -- Chapter 3. Landslide hazard risk and vulnerability monitoring – GIS based Approach -- Chapter 4. Landslide Susceptibility Mapping Methods – A Review -- Chapter 5. Mapping of Landslide Susceptibility using state-of-the-art method and Geospatial Techniques in the Rangamati District in the Chattogram Hill Tracts region of Bangladesh -- Chapter 6. Towards Artificially Intelligent Landslide Susceptibility Mapping: A Critical Review and Open Questions -- Chapter 7.Landslide Susceptibility Analysis by Frequency Ratio Model and Analytical Hierarchical Process in Mirik and Kurseong, Darjeeling Himalaya, India -- Chapter 8.Suitability analysis of landslide susceptibility model of Uttarkashi District in Uttarakhand, India: a comparative approach between weighted overlay and multi-criteria decision analysis -- Chapter 9. Determining Land induced factors for landslide susceptibility in Indian cities -- Chapter 10.Moisture-Driven Landslides and Cascade Hazards in the Himalayan Region: A Synthesis on Predictive Assessment -- Chapter 11. Landslide susceptibility map showing the spatial relationship between various landslide factors and landslide using remote sensing and GIS-based Frequency Ratio method in Chamoli district, Uttarakhand, India -- Chapter 12. Landslide susceptibility using weighted regression model: A Geo-spatial approach -- Chapter 13. Assessment of climate change impact on landslides in Darjeeling district of West Bengal: a geospatial, geostatistical and ecosystem service based approach.-Chapter 14. Landslide vulnerability analysis of tourist spots through Shannon Entropy model : A case study on Rudraprayag, Uttarakhand -- Chapter 15. Landslide Hazard Susceptibility Analysis and Modelling in the Vicinity of the Proposed Subansiri Lower HE Project, Arunachal Pradesh.-Chapter 16. Land Use and Land Cover as a Conditioning Factor in Landslide Susceptibility: A Literature Review -- Chapter 17. A Geospatial Review Analysis of Increased Frequency of Large Glacier-Related Landslides in Mountainous Regions -- Chapter 18. Landslide Detection Using DInSAR Technique: A Case Study -- Chapter 19. Landslide Hazard Risk Assessment Using GIS and Analytical Hierarchy Process (AHP) Approach: Evidence from 2017 Rangamati Hill Tracts Landslide Event, Bangladesh -- Chapter 20. Landslide risk assessment, awareness, and risk mitigation: case studies and major insights -- Chapter 21. Community-based Landslide Disaster Mitigation on The Northern Slope of “Telaga Lele” Hill, Banjarnegara Regency, Indonesia -- Chapter 22. Evaluation of Double Fusion Satellite Rainfall Dataset in Establish Rainfall Thresholds for Landslide Occurrences over Badung regency - Bali -- Chapter 23. Landslide Susceptibility and Risk Assessment in Hilly Regions of Bangladesh: A Geostatistical and Geospatial Modeling Approach for Sustainability -- Chapter 24. Landslide Hazard and Risk Management Framework for Alaknanda Basin in the Indian Himalayan Region. edited by Gopal Krishna Panda, Rajib Shaw, Subodh Chandra Pal, Uday Chatterjee, Asish Saha. Natural disasters Geographic information systems Statistics  Natural Hazards Geographical Information System Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences GB5000-5030 9783031565915 https://doi.org/10.1007/978-3-031-56591-5 https://doi.org/10.1007/978-3-031-56591-5 240514 20251030112041.0 978-3-031-56591-5