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Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
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- More about Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
Format: Paperback / softback
Length: 266 pages
Publication date: 21 June 2026
Publisher: Taylor & Francis Ltd
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.
Weight: 520g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032503813
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