Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy
暫譯: 環境數據的高級映射：地理統計學、機器學習與貝葉斯最大熵

Mikhail Kanevski

Advanced Mapping of Environmental Data/Geostatistics, Machine Learning and Bayesian Maximum Entropy

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商品描述

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

商品描述(中文翻譯)

本書結合了地質統計學和全球地圖系統，提供了最新的環境數據研究。書中包含多個案例研究，涵蓋了模型依賴（地質統計學）和數據驅動（機器學習算法）分析技術，如風險地圖、條件隨機模擬、空間不確定性和變異性的描述、用於空間數據的人工神經網絡（ANN）、貝葉斯最大熵（BME）等。

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