LEADER 03382oam 2200529 450 001 9910298563703321 005 20190911103512.0 010 $a1-4614-7669-0 024 7 $a10.1007/978-1-4614-7669-6 035 $a(OCoLC)859589253 035 $a(MiFhGG)GVRL6UMM 035 $a(EXLCZ)992670000000420965 100 $a20130619d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aData mining for geoinformatics $emethods and applications /$fGuido Cervone, Jessica Lin, Nigel Waters, editors 210 $aNew York $cSpringer$d2013 210 1$aNew York :$cSpringer,$d2014. 215 $a1 online resource (xi, 166 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a1-4614-7668-2 320 $aIncludes bibliographical references. 327 $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. 330 $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. 606 $aEarth sciences$xComputer network resources 606 $aGeodatabases 606 $aData mining 615 0$aEarth sciences$xComputer network resources. 615 0$aGeodatabases. 615 0$aData mining. 676 $a004 676 $a005.74 676 $a006.3 676 $a006.312 702 $aCervone$b Guido 702 $aLin$b Jessica 702 $aWaters$b Nigel M$g(Nigel Michael),$f1950- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910298563703321 996 $aData mining for geoinformatics$93870882 997 $aUNINA