Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
暫譯: 可解釋的機器學習於地理空間數據分析：以數據為中心的方法

Kamusoko, Courage

Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
  • 出版商: CRC
  • 出版日期: 2026-06-22
  • 售價: $2,580
  • 貴賓價: 9.5 折 $2,451
  • 語言: 英文
  • 頁數: 266
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032503815
  • ISBN-13: 9781032503813
  • 相關分類: Machine Learning

    • 尚未上市，無法訂購

商品描述

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.

商品描述(中文翻譯)

本書強調並解釋了用於地理空間數據分析的機器學習模型的細節。它展示了以數據為中心的可解釋機器學習方法在從地理空間數據分析中獲取新見解的必要性，以及這些方法如何應用於解決從林業到氣候變遷的各種環境問題。

作者簡介

Courage Kamusoko is an independent geospatial consultant based in Japan. His expertise includes land-use/cover change modeling and the design and implementation of geospatial database management systems. His primary research involves analyses of remotely sensed images, land-use/cover modeling, modeling aboveground biomass, machine learning, and deep learning. In addition to his focus on geospatial research and consultancy, he has dedicated time to teaching practical machine learning for geospatial data analysis and modeling.

作者簡介(中文翻譯)

Courage Kamusoko 是一位位於日本的獨立地理空間顧問。他的專業領域包括土地使用/覆蓋變化建模以及地理空間資料庫管理系統的設計與實施。他的主要研究涉及遙感影像分析、土地使用/覆蓋建模、地上生物量建模、機器學習和深度學習。除了專注於地理空間研究和顧問工作外，他還投入時間教授地理空間資料分析和建模的實用機器學習課程。

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