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Titlebook: Data Mining for Geoinformatics; Methods and Applicat Guido Cervone,Jessica Lin,Nigel Waters Book 2014 Springer Science+Business Media New Y

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发表于 2025-3-21 17:18:58 | 显示全部楼层 |阅读模式
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Titlebook: Data Mining for Geoinformatics; Methods and Applicat Guido Cervone,Jessica Lin,Nigel Waters Book 2014 Springer Science+Business Media New Y
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
doihttps://doi.org/10.1007/978-1-4614-7669-6
isbn_softcover978-1-4899-8574-3
isbn_ebook978-1-4614-7669-6
copyrightSpringer Science+Business Media New York 2014
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发表于 2025-3-21 21:57:47 | 显示全部楼层
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tic algorithms necessary to extract knowledge from massive aThe 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 implementat
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Assignments and Implemented Functionsms at predicting traffic jams in the city of Frankfurt am Main with help of a learned classifier. Our results show that taking into account simple and partial information about the traffic situation can lead to a huge gain of knowledge when using data mining techniques in the face of predicting of traffic situations.
发表于 2025-3-23 00:34:47 | 显示全部楼层
GIS-Based Traffic Simulation Using OSM,ms at predicting traffic jams in the city of Frankfurt am Main with help of a learned classifier. Our results show that taking into account simple and partial information about the traffic situation can lead to a huge gain of knowledge when using data mining techniques in the face of predicting of traffic situations.
发表于 2025-3-23 03:02:21 | 显示全部楼层
https://doi.org/10.1007/978-3-662-06297-5 comprising even a single modestly sized HSI data set. The discussion in this chapter will focus on the analysis process that generally applies to all HSI data and discuss the methods, approaches, and computational issues associated with analyzing hyperspectral imagery data.
发表于 2025-3-23 05:35:52 | 显示全部楼层
Come impariamo a muoverci nell‘ambiente?rsion simulations are performed using the SCIPUFF model, using model vertical profiles and ground meteorological data. The non-stationary time-series of the Fukushima release rate is determined for a period of 5 days with a 2-h resolution.
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