Screen LibraryNatural hazards GIS-based spatial modeling using data mining techniques /
"This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidenc...
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| Group Author: | ; |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
Advances in natural and technological hazards research,
volume 48 |
| Subjects: | |
| Summary: |
"This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview of the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to un |
| Carrier Form: | xxii, 296 pages : illustrations (some color), maps (chiefly color), forms ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783319733821 (hardcover) : 3319733826 (hardcover) 9783319733838 (electronic book) 3319733834 (electronic book) |
| Index Number: | QA76 |
| CLC: |
TP311.13 X43-32 |
| Call Number: | X43-32/N285 |
| Contents: |
Gully erosion modeling using GIS-based data mining techniques in Northern Iran : a comparison between boosted regression tree and multivariate adaptive regression spline / Concepts for improving machine learning based landslide assessment / Assessment of the contribution of geo-environmental factors to flood inundation in a semi-arid region of SW Iran : comparison of different advanced modeling approaches / |