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007			cr nn 008mamaa
008			150330s2015 gw | s |||| 0|eng d
020			_a9783319158655
024	7		_a10.1007/978-3-319-15865-5 _2doi
050		4	_aQE33.2.S82 _bO458 2015
100	1		_aOliver, Margaret A. _993750 _0Local
245	1	0	_aBasic Steps in Geostatistics: The Variogram and Kriging _cby Margaret A. Oliver, Richard Webster.
260			_aCham, Switzerland _bSpringer _c2015
300			_a1 recurso en línea (X, 100 páginas) _b39 ilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringerBriefs in Agriculture _x2211-808X
505	0		_a1. Introduction -- 1.1. Background to Geostatistics -- 1.2. Applications of geostatistics -- 1.3. Sampling -- 1.4. The Essence of Geostatistics -- 2. Regionalized Variable Theory -- 2.1. Random Variables and Regionalized Variable Theory -- 3. The Variogram and Modelling -- 3.1. The Experimental Variogram -- 3.2. Factors Affecting the Reliability of Experimental Variograms -- 3.3. Modelling the Variogram -- 3.4. Factors Affecting the Reliability of Variogram Models -- 4. Geostatistical Prediction: Kriging -- 4.1. Introduction -- 4.2. Theory -- 4.3. Cross-validation -- 4.4. Summary -- 5. Sampling -- 5.1. Sampling for the Variogram -- 5.2. Sampling Plans for Mapping -- 5.3. Summary -- 6. Dealing with Trend -- 6.1. Trend -- 6.2. Example -- 6.3. Illustration from a Case Study -- 6.4. Summary.
520	3		_aThis brief will provide a bridge in succinct form between the geostatistics textbooks and the computer manuals for `push-button' practice.Â{u0274} is becoming increasingly important for practitioners, especially neophytes, to understand what underlies modern geostatistics and the currently available software so that they can choose sensibly and draw correct conclusions from their analysis and mapping.Â{u2820} The brief will contain some theory, but only that needed for practitioners to understand the essential steps in analyses. It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors. There will be short section on trend and universal kriging.Â{u03F4}her types of kriging will be mentioned so that readers can delve further in the substantive literature to tackle more complex tasks.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER, asignarmaterias_11febrero
650		7	_aGeofísica _0 _2embne _9138008
650		7	_aFallas (Geología) _0 _2embne _9677438
650		7	_aEcología _0 _2embne _9404984
700	1		_aWebster, Richard. _993751 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-15865-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12899689 _b10-10-17 _c18-01-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aQE33.2.S82 O458 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1156930x _z06-04-17
999			_c81378 _d81378 _x1