гуманитарные и общественные науки

социология

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.

учебная и научная литература

прочая образовательная литература

книги для студентов и аспирантов

финансовый анализ

анализ экономических систем

математическая статистика

знания и навыки

Advanced Mapping of Environmental Data

Mikhail Kanevski

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