{"product_id":"machine-learning-for-spatial-environmental-data-theory-applications-and-software-environmental-sciences","title":"Machine Learning for Spatial Environmental Data: Theory, Applications and Software - Environmental Sciences | Paperback | 392 Pages","description":"\u003cbody\u003e\n\n\u003cp\u003eExplore the cutting edge of machine learning applied to environmental data with this comprehensive guide. This book delves into advanced algorithms and their practical implementation for classifying and mapping spatially distributed environmental information.\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eState-of-the-art machine learning algorithms including artificial neural networks and support vector machines.\u003c\/li\u003e\n  \u003cli\u003eApplication of algorithms to the classification and mapping of spatially distributed environmental data.\u003c\/li\u003e\n  \u003cli\u003ePresentation of basic geostatistical algorithms.\u003c\/li\u003e\n  \u003cli\u003eExploration of new trends in machine learning and their application to spatial data.\u003c\/li\u003e\n  \u003cli\u003eReal case studies based on environmental and pollution data.\u003c\/li\u003e\n  \u003cli\u003eIncludes a CD-ROM with Machine Learning Office software for hands-on practice.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eWhat's Included:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eMachine Learning for Spatial Environmental Data: Theory, Applications and Software (Environmental Sciences) book\u003c\/li\u003e\n  \u003cli\u003eCD-ROM with Machine Learning Office software and sample data sets\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAuthors:\u003c\/strong\u003e Mikhail Kanevski, Alexei Pozdnoukhov, Vadim Timonin\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e Presses Polytechniques et Universitaires Romandes\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 10, 2026\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eLanguage:\u003c\/strong\u003e English\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePrint Length:\u003c\/strong\u003e 392 pages\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eBinding:\u003c\/strong\u003e Paperback\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 159 x 28 x 241 mm (6.26 x 1.1 x 9.49 inches)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 454g (1 lb)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eISBN-10:\u003c\/strong\u003e 294022224X\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 978-2940222247\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSeries:\u003c\/strong\u003e Environmental Sciences\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThis book is an invaluable resource for students and researchers seeking to apply advanced machine learning techniques to environmental challenges.\u003c\/p\u003e\n\n\u003c\/body\u003e","brand":"by Mikhail Kanevski","offers":[{"title":"Default Title","offer_id":57971617169790,"sku":"294022224X","price":194.95,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0574\/3919\/1207\/files\/617KL3Vd10L_af7015fd-68c3-442e-858d-c3de1467f51c.jpg?v=1788546180","url":"https:\/\/www.yachew.com\/en-fr\/products\/machine-learning-for-spatial-environmental-data-theory-applications-and-software-environmental-sciences","provider":"Yachew","version":"1.0","type":"link"}