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Explainable Machine Learning for Geospatial Data Analysis|Courage Kamusoko

Explainable Machine Learning for Geospatial Data Analysis : A Data-Centric Approach

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781032503813
  • ISBN-10: 1032503815
  • Publisher: CRC Press
  • Publish Date: June 2026
  • Dimensions: 9.21 x 6.14 x 0.59 inches
  • Shipping Weight: 0.87 pounds
  • Page Count: 266

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