Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach - Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan) - Books - Taylor & Francis Ltd - 9781032503806 - December 6, 2024
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Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan)
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach

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This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and how they are applied to solve various environmental problems from forestry to climate change.

304 pages, 10 Tables, black and white; 16 Line drawings, color; 58 Line drawings, black and white; 8

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 6, 2024
ISBN13 9781032503806
Publishers Taylor & Francis Ltd
Pages 266
Dimensions 150 × 220 × 20 mm   ·   453 g
Language English  

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