书目名称 | Data Mining for Geoinformatics | 副标题 | Methods and Applicat | 编辑 | Guido Cervone,Jessica Lin,Nigel Waters | 视频video | | 概述 | Presents a series of geoinformatic techniques and methodologies to solve real world problems of important societal value.Provides geoinformatic algorithms necessary to extract knowledge from massive a | 图书封面 |  | 描述 | The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. .Data Mining for Geoinformatics .addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens.This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the ar | 出版日期 | Book 2014 | 关键词 | Computational Methods; Data Mining; Earth Science; GIS; Geoinformatics; Geoscience; Machine Learning; Natur | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4614-7669-6 | isbn_softcover | 978-1-4899-8574-3 | isbn_ebook | 978-1-4614-7669-6 | copyright | Springer Science+Business Media New York 2014 |
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