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Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques100%: Hamid Reza Pourghasemi; Mauro Rossi: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (ISBN: 9783319733838) Springer Nature, in Englisch, auch als eBook.
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Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)76%: Herausgeber: Hamid Reza Pourghasemi, Herausgeber: Mauro Rossi: Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research) (ISBN: 9783319733821) 2018, Springer Shop, Erstausgabe, in Englisch, Broschiert.
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Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
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Bester Preis: 16,99 (vom 11.05.2023)
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9783319733821 - Hamid Reza Pourghasemi; Mauro Rossi: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Hamid Reza Pourghasemi; Mauro Rossi

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Lieferung erfolgt aus/von: Deutschland DE HC NW

ISBN: 9783319733821 bzw. 3319733826, in Deutsch, Springer Shop, gebundenes Buch, neu.

Lieferung aus: Deutschland, Lagernd.
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. Hard cover.
2
9783319733838 - Hamid Reza Pourghasemi; Mauro Rossi: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Hamid Reza Pourghasemi; Mauro Rossi

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Lieferung erfolgt aus/von: Deutschland ~EN NW EB DL

ISBN: 9783319733838 bzw. 3319733834, vermutlich in Englisch, Springer Nature, neu, E-Book, elektronischer Download.

16,99
unverbindlich
Lieferung aus: Deutschland, Lagernd, zzgl. Versandkosten.
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. eBook.
3
9783319733821 - Pourghasemi: / Rossi | Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques | Springer | 1st ed. 2019 | 2019
Pourghasemi

/ Rossi | Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques | Springer | 1st ed. 2019 | 2019

Lieferung erfolgt aus/von: Deutschland DE NW

ISBN: 9783319733821 bzw. 3319733826, in Deutsch, Springer, neu.

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.
4
9783319733821 - Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Lieferung erfolgt aus/von: Vereinigtes Königreich Großbritannien und Nordirland DE NW

ISBN: 9783319733821 bzw. 3319733826, in Deutsch, neu.

116,46
unverbindlich
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
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.
5
3319733826 - Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques (2018)

Lieferung erfolgt aus/von: Deutschland DE NW

ISBN: 3319733826 bzw. 9783319733821, in Deutsch, neu.

Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
9783319733821 - Herausgeber: Hamid Reza Pourghasemi, Herausgeber: Mauro Rossi: Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)
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Herausgeber: Hamid Reza Pourghasemi, Herausgeber: Mauro Rossi

Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)

Lieferung erfolgt aus/von: Deutschland EN HC NW FE

ISBN: 9783319733821 bzw. 3319733826, in Englisch, 240 Seiten, Springer, gebundenes Buch, neu, Erstausgabe.

Lieferung aus: Deutschland, Noch nicht erschienen. Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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9783319733838 - Hamid Reza Pourghasemi; Mauro Rossi: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Hamid Reza Pourghasemi; Mauro Rossi

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Lieferung erfolgt aus/von: Vereinigtes Königreich Großbritannien und Nordirland DE NW EB

ISBN: 9783319733838 bzw. 3319733834, in Deutsch, Springer Shop, neu, E-Book.

98,61 (£ 87,50)¹
versandkostenfrei, unverbindlich
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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