000			02714cam a2200421 a 4500
999			_c90014 _d90014
005			20250327171514.0
008			250327b ||||| |||| 00| 0 eng d
010			_a2008016237
015			_aGBA8B0493 _2bnb
020			_a9781848210608
020			_a1848210604
035			_a(OCoLC)223107287
040			_aDLC _beng _cDLC _dBTCTA _dBAKER _dBWK _dC#P _dBWX _dCDX _dYDXCP _dAGL _dUKM _dHEBIS _dUWW _dBDX _dOCLCF _dOCLCO _dCHVBK _dOCLCQ _dTKN _dUMK _dUKMGB _dOCLCO
041			_aeng.
050	0	0	_aQE33.2.S82 _bA35 2008
070	0		_aQE33.2.S82 _bA35 2008
082	0	0	_a550.1/519542 _222
245	0	0	_aAdvanced mapping of environmental data : _bgeostatistics, machine learning and Bayesian maximum entropy / _cedited by Mikhail Kanevski.
260			_c2008.
264		1	_aHoboken, N. J. : _bWiley-ISTE _c2008
300			_axiii, 313 pages : _billustrations, maps ; _c24 cm.
336			_atext _btxt _2rdacontent.
337			_acomputer _bc _2rdamedia.
338			_aonline resource _bcr _2rdacarrier.
490	1		_aGeographical information systems series.
504			_aIncludes bibliographical references and index.
505	0		_aAdvanced mapping of environmental data: introduction / M. Kanevski -- Environmental monitoring network characterization and clustering / D. Tuia and M. Kanevski -- Geostatistics: spatial predictions and simulations / E. Savelieva, V. Demyanov and M. Maignan -- Spatial data analysis and mapping using machine learning algorithms / F. Ratle [and others] -- Advanced mapping of environmental spatial data: case studies / L. Foresti [and others] -- Bayesian maximum entropy -- BME / G. Christakos.
520	1		_a"This title, brings together three topics normally covered separately: geostatistical methods and models, machine learning algorithms and the Bayesian maximum entropy approach. An introduction to environmental data mapping is provided before these areas, their features and applications are discussed in more depth. The approach is designed to assist the reader in easily expanding their knowledge of the fields covered, and will be useful for both students and professionals involved in environmental data analysis and mapping."--BOOK JACKET.
545	0		_aMikhail Kanevski, Institute of Geomatics and Analysis of Risk, University of Lausanne, Switzerland.
650		0	_aGeology _xStatistical methods.
650		0	_aMachine learning.
650		0	_aBayesian statistical decision theory.
655		4	_a Electronic books.
700	1		_aKanevski, Mikhail.
830		0	_aGeographical information systems series.
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9780470611463 _yFull text available at Wiley Online Library Click here to view.
942			_2ddc _cER