000			03065nam a22004455c 4500
988			_aSpringer_Robotics_2019
999			_c115400 _d115400 _x1
001			115400
003			ES-MaUEC
005			20230104140028.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190701s2019 si a o |||| 0|eng d
020			_a9789811386640
024	7		_a10.1007/978-981-13-8664-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC866 _b2019 EB
100	1		_aBhattacharjee, Shrutilipi _eautor _9671788
245	1	0	_aSemantic kriging for spatio-temporal prediction _cby Shrutilipi Bhattacharjee, Soumya Kanti Ghosh, Jia Chen
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019
300			_a1 recurso en línea (XXV, 127 páginas) _b92 ilustraciones, 76 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v839
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter 1. Introduction -- Chapter 2. Spatial Interpolation -- Chapter 3. Spatial Semantic Kriging -- Chapter 4. Fuzzy Bayesian Semantic Kriging -- Chapter 5. Spatio-temporal Reverse Semantic Kriging -- Chapter 6. Summary and Future Research.
520	3		_aThis book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK) and its variants facilitate different types of prediction and forecasting, such as spatial and spatio-temporal, a-priori and a-posterior, univariate and multivariate. As such, the book also covers the process of deriving the meteorological parameters from raw satellite remote sensing imagery, and helps understanding different prediction method categories and the relation between spatial interpolation methods and other prediction methods. The book is a valuable resource for researchers working in the area of prediction of meteorological parameters, semantic analysis (ontology-based reasoning) of the terrain, and improving predictions using auxiliary knowledge of the terrain.
650		7	_2embne _aMeteorología _xPredicción
650		7	_2embne _aMeteorología _xModelos matemáticos
700	1		_aGhosh, Soumya Kanti _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aChen, Jia _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9789811386633
776	0	8	_iPrinted edition: _z9789811386657
776	0	8	_iPrinted edition: _z9789811386664
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-8664-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI