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

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)

這本書結合地統計學和全球地圖系統，提供了一個最新的環境數據研究。該參考書包含了許多案例研究，涵蓋了模型依賴的（地統計學）和數據驅動的（機器學習算法）分析技術，例如風險地圖、條件隨機模擬、空間不確定性和變異性描述、用於空間數據的人工神經網絡（ANN）、貝葉斯最大熵（BME）等等。

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