000			03659nam a22005415i 4500
001			978-1-4614-7669-6
003			DE-He213
005			20140220082459.0
007			cr nn 008mamaa
008			130816s2014 xxu| s |||| 0|eng d
020			_a9781461476696 _9978-1-4614-7669-6
024	7		_a10.1007/978-1-4614-7669-6 _2doi
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
072		7	_aUYQE _2bicssc
072		7	_aCOM021030 _2bisacsh
082	0	4	_a006.312 _223
100	1		_aCervone, Guido. _eeditor.
245	1	0	_aData Mining for Geoinformatics _h[electronic resource] : _bMethods and Applications / _cedited by Guido Cervone, Jessica Lin, Nigel Waters.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014.
300			_aXI, 166 p. 79 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aComputation in Hyperspectral Imagery (HSI) Data Analysis: Role and Opportunities -- Toward Understanding Tornado Formation Through Spatiotemporal Data Mining -- Source Term Estimation for the 2011 Fukushima Nuclear Accident -- GIS-based Traffic Simulation using OSM -- Evaluation of Real-time Traffic Applications based on Data Stream Mining -- Geospatial Visual Analytics of Traffic and Weather Data for Better Winter Road Management -- Exploratory visualization of collective mobile objects data using temporal granularity and spatial similarity.
520			_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 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 areas of data mining and geoscience will also find this book to be a valuable reference.
650		0	_aComputer science.
650		0	_aGeography.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aGeographical information systems.
650	1	4	_aComputer Science.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aDatabase Management.
650	2	4	_aGeographical Information Systems/Cartography.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aEarth Sciences, general.
700	1		_aLin, Jessica. _eeditor.
700	1		_aWaters, Nigel. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461476689
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-7669-6
912			_aZDB-2-SCS
999			_c92048 _d92048