Kanevski, Mikhail. <br/><br/>
Machine learning for spatial environmental data  theory, applications and software /  [[Book] :] 
Mikhail Kanevski, Alexei Pozdnoukhov and Vadim Timonin. 
 - 1st ed. 
 - Lausanne, Switzerland :  Boca Raton, Fla. :  EPFL Press ;  Distributed by CRC Press,  c2009. 
 - xii, 377 p. :  ill. (some col.), maps ;  25 cm. +   +1 CD-ROM (4 3/4 in.). 
 - Environmental sciences .
<br/><br/> Title on accompanying CD-ROM:  Machine learning office : software for environmental spatial data analysis, full research version.  At head of title: Environmental engineering. 
<br/><br/>Includes bibliographical references (p. [347]-371) and index. 
<br/><br/>Learning from geospatial data -- Exploratory spatial data analysis : presentation of data and case studies -- Geostatistics -- Artificial neural networks -- Support vector machines and kernel methods. 
<br/><br/> Accompanying CD-RM contains Machine learning office software, MLO guide (pdf) and examples of data. 
<br/><br/> All age. 
<br/><br/><br/>System requirements for accompanying CD-ROM:  Windows XP or Vista; CD-ROM drive. 
<br/><br/><label>ISBN: </label>9780849382376 (hbk. : CRC Press) 9782940222247 (hbk. : EPFL Press) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Environmental mapping--Software.<br/>Machine learning.<br/>Geospatial data.<br/>Mappings (Mathematics).<br/>Cartography--Computer programs.<br/>Geographic information systems.
<br/><br/><label>LC Class. No.: </label>QE33.2.M3  / K36 2009 
<br/><br/><label>Dewey Class. No.: </label>550 
<br/><br/><label>National Library of Medicine Call No.: </label> / K M