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Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan)
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan)
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| To be released | June 22, 2026 |
| ISBN13 | 9781032503813 |
| Publishers | Taylor & Francis Ltd |
| Pages | 266 |
| Dimensions | 150 × 220 × 10 mm · 520 g |