Machine Learning and Spatial Optimization - Couverture souple

Singh, Kanwarpreet

Couverture souple

ISBN 13 : 9798898813802

Editeur : Bentham Science Publishers, 2026

Synopsis

Machine Learning and Spatial Optimisation is an exploration positioned at the intersection of environmental science, geospatial technology, and data analytics, exploring how advanced computational methods and spatial data analysis can address critical environmental challenges.

The chapters progress from foundational concepts to practical case studies in spatial data and GIS workflows to real-world applications, including air quality monitoring, water resource management, land-use analysis, biodiversity conservation, and disaster risk assessment.

With a strong focus on real-world implementation, the book bridges theory and practice by offering methodological insights, policy relevance, and data-driven strategies for sustainable environmental management.

Key Features:

-Integration of machine learning with GIS and spatial analysis.
-Coverage of major environmental challenges and applications.
-Real-world case studies for monitoring, prediction, and planning.
-Focus on decision support, policy insights, and sustainability.
-Practical approaches to data-driven environmental management.

Détails de l'édition

• Éditeur: Bentham Science Publishers
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798898813802
• Reliure: Tapa blanda
• Nombre de pages: 290
• Éditeur: Arundhati, Kaur Manmeet, Sharma Abhishek, Kumar Tiwary Aditya, Sharma Sahil
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.es/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg