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020 _a9781461476696
_9978-1-4614-7669-6
024 7 _a10.1007/978-1-4614-7669-6
_2doi
035 _ato000540887
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aData Mining for Geoinformatics
_helectronic resource
_bMethods and Applications /
_cedited by Guido Cervone, Jessica Lin, Nigel Waters.
260 _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
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.
_9155490
650 0 _ageography.
_9566247
650 0 _aDatabase management.
_9566224
650 0 _aData mining.
_9306371
650 0 _aArtificial intelligence.
_9274099
650 0 _aGeographical information systems.
_9294357
650 1 4 _aComputer Science.
_9155490
650 2 4 _aData Mining and Knowledge Discovery.
_9306372
650 2 4 _aDatabase Management.
_9566226
650 2 4 _aGeographical Information Systems/Cartography.
_9294362
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aEarth Sciences, general.
_9312752
700 1 _aCervone, Guido.
_eeditor.
_9446343
700 1 _aLin, Jessica.
_eeditor.
_9446344
700 1 _aWaters, Nigel.
_eeditor.
_9446345
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-7669-6
912 _aZDB-2-SCS
999 _c398973