Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research) / Pourghasemi, Hamid Reza (EDT)/ Rossi, Mauro (EDT)

データマイニングによる自然災害GIS空間モデリング<br>Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)

個数：

電子版価格
¥23,097

電子版あり

データマイニングによる自然災害GIS空間モデリング
Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)

Pourghasemi, Hamid Reza (EDT)/ Rossi, Mauro (EDT)

ウェブストア価格 ¥29,367（本体¥26,698）
Springer International Publishing AG（2019/01発売）
外貨定価 US$ 139.99
ポイント 266pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 296 p.
商品コード 9783319733821

Full Description

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 on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

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.- Multi-hazard assessment modeling using multi-criteria analysis and GIS: a case study.- 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.- Land Subsidence modelling using data mining techniques. The case study of Western Thessaly, Greece.- Application of fuzzy analytical network process model for analyzing the gully erosion susceptibility.- Landslide susceptibility prediction maps: from blind-testing to uncertainty of class membership: a review of past and present developments.- Earthquake events modeling using multi-criteria decision analysis in Iran.- Prediction of Rainfall as One of the Main Variables in Several Natural Disasters.- Landslide Inventory, Sampling & Effect of Sampling Strategies on Landslide Susceptibility/Hazard Modelling at a Glance.- GIS-based landslide susceptibility evaluation using certainty factor and index of entropy ensembled with alternating decision tree models.- Evaluation of Sentinel-2 MSI and Pleiades 1B imagery in forest fire susceptibility assessment in temperate regions of Central and Eastern Europe. A case study of Romania.- Monitoring and Management of Land Subsidence induced by over-exploitation of groundwater.- A VEGETATED VARIATION MODEL FOR THE FLOODPLAIN OF LOWER MEKONG DELTA DERIVED FROM MULTI-TEMPORAL ERS-2 AND SENTINEL-1 DATA.