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Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver
| Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver |
| Autore | Webster R |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
550.72
550/.7/2 |
| Altri autori (Persone) | OliverM. A (Margaret A.) |
| Collana | Statistics in practice |
| Soggetto topico |
Geology - Statistical methods
Environmental sciences - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-13530-5
9786611135300 0-470-51727-1 0-470-51726-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics for Environmental Scientists; Contents; Preface; 1 Introduction; 1.1 WHY GEOSTATISTICS?; 1.1.1 Generalizing; 1.1.2 Description; 1.1.3 Interpretation; 1.1.4 Control; 1.2 A LITTLE HISTORY; 1.3 FINDING YOUR WAY; 2 Basic Statistics; 2.1 MEASUREMENT AND SUMMARY; 2.1.1 Notation; 2.1.2 Representing variation; 2.1.3 The centre; 2.1.4 Dispersion; 2.2 THE NORMAL DISTRIBUTION; 2.3 COVARIANCE AND CORRELATION; 2.4 TRANSFORMATIONS; 2.4.1 Logarithmic transformation; 2.4.2 Square root transformation; 2.4.3 Angular transformation; 2.4.4 Logit transformation
2.5 EXPLORATORY DATA ANALYSIS AND DISPLAY2.5.1 Spatial aspects; 2.6 SAMPLING AND ESTIMATION; 2.6.1 Target population and units; 2.6.2 Simple random sampling; 2.6.3 Confidence limits; 2.6.4 Student's t; 2.6.5 The x2 distribution; 2.6.6 Central limit theorem; 2.6.7 Increasing precision and efficiency; 2.6.8 Soil classification; 3 Prediction and Interpolation; 3.1 SPATIAL INTERPOLATION; 3.1.1 Thiessen polygons (Voronoi polygons, Dirichlet tessellation); 3.1.2 Triangulation; 3.1.3 Natural neighbour interpolation; 3.1.4 Inverse functions of distance; 3.1.5 Trend surfaces; 3.1.6 Splines 3.2 SPATIAL CLASSIFICATION AND PREDICTING FROM SOIL MAPS3.2.1 Theory; 3.2.2 Summary; 4 Characterizing Spatial Processes: The Covariance and Variogram; 4.1 INTRODUCTION; 4.2 A STOCHASTIC APPROACH TO SPATIAL VARIATION: THE THEORY OF REGIONALIZED VARIABLES; 4.2.1 Random variables; 4.2.2 Random functions; 4.3 SPATIAL COVARIANCE; 4.3.1 Stationarity; 4.3.2 Ergodicity; 4.4 THE COVARIANCE FUNCTION; 4.5 INTRINSIC VARIATION AND THE VARIOGRAM; 4.5.1 Equivalence with covariance; 4.5.2 Quasi-stationarity; 4.6 CHARACTERISTICS OF THE SPATIAL CORRELATION FUNCTIONS; 4.7 WHICH VARIOGRAM? 4.8 SUPPORT AND KRIGE'S RELATION4.8.1 Regularization; 4.9 ESTIMATING SEMIVARIANCES AND COVARIANCES; 4.9.1 The variogram cloud; 4.9.2 h-Scattergrams; 4.9.3 Average semivariances; 4.9.4 The experimental covariance function; 5 Modelling the Variogram; 5.1 LIMITATIONS ON VARIOGRAM FUNCTIONS; 5.1.1 Mathematical constraints; 5.1.2 Behaviour near the origin; 5.1.3 Behaviour towards infinity; 5.2 AUTHORIZED MODELS; 5.2.1 Unbounded random variation; 5.2.2 Bounded models; 5.3 COMBINING MODELS; 5.4 PERIODICITY; 5.5 ANISOTROPY; 5.6 FITTING MODELS; 5.6.1 What weights?; 5.6.2 How complex? 6 Reliability of the Experimental Variogram and Nested Sampling6.1 RELIABILITY OF THE EXPERIMENTAL VARIOGRAM; 6.1.1 Statistical distribution; 6.1.2 Sample size and design; 6.1.3 Sample spacing; 6.2 THEORY OF NESTED SAMPLING AND ANALYSIS; 6.2.1 Link with regionalized variable theory; 6.2.2 Case study: Youden and Mehlich's survey; 6.2.3 Unequal sampling; 6.2.4 Case study: Wyre Forest survey; 6.2.5 Summary; 7 Spectral Analysis; 7.1 LINEAR SEQUENCES; 7.2 GILGAI TRANSECT; 7.3 POWER SPECTRA; 7.3.1 Estimating the spectrum; 7.3.2 Smoothing characteristics of windows; 7.3.3 Confidence 7.4 SPECTRAL ANALYSIS OF THE CARAGABAL TRANSECT |
| Record Nr. | UNINA-9910144721903321 |
Webster R
|
||
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver
| Geostatistics for environmental scientists [[electronic resource] /] / Richard Webster and Margaret A. Oliver |
| Autore | Webster R |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
550.72
550/.7/2 |
| Altri autori (Persone) | OliverM. A (Margaret A.) |
| Collana | Statistics in practice |
| Soggetto topico |
Geology - Statistical methods
Environmental sciences - Statistical methods |
| ISBN |
1-281-13530-5
9786611135300 0-470-51727-1 0-470-51726-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics for Environmental Scientists; Contents; Preface; 1 Introduction; 1.1 WHY GEOSTATISTICS?; 1.1.1 Generalizing; 1.1.2 Description; 1.1.3 Interpretation; 1.1.4 Control; 1.2 A LITTLE HISTORY; 1.3 FINDING YOUR WAY; 2 Basic Statistics; 2.1 MEASUREMENT AND SUMMARY; 2.1.1 Notation; 2.1.2 Representing variation; 2.1.3 The centre; 2.1.4 Dispersion; 2.2 THE NORMAL DISTRIBUTION; 2.3 COVARIANCE AND CORRELATION; 2.4 TRANSFORMATIONS; 2.4.1 Logarithmic transformation; 2.4.2 Square root transformation; 2.4.3 Angular transformation; 2.4.4 Logit transformation
2.5 EXPLORATORY DATA ANALYSIS AND DISPLAY2.5.1 Spatial aspects; 2.6 SAMPLING AND ESTIMATION; 2.6.1 Target population and units; 2.6.2 Simple random sampling; 2.6.3 Confidence limits; 2.6.4 Student's t; 2.6.5 The x2 distribution; 2.6.6 Central limit theorem; 2.6.7 Increasing precision and efficiency; 2.6.8 Soil classification; 3 Prediction and Interpolation; 3.1 SPATIAL INTERPOLATION; 3.1.1 Thiessen polygons (Voronoi polygons, Dirichlet tessellation); 3.1.2 Triangulation; 3.1.3 Natural neighbour interpolation; 3.1.4 Inverse functions of distance; 3.1.5 Trend surfaces; 3.1.6 Splines 3.2 SPATIAL CLASSIFICATION AND PREDICTING FROM SOIL MAPS3.2.1 Theory; 3.2.2 Summary; 4 Characterizing Spatial Processes: The Covariance and Variogram; 4.1 INTRODUCTION; 4.2 A STOCHASTIC APPROACH TO SPATIAL VARIATION: THE THEORY OF REGIONALIZED VARIABLES; 4.2.1 Random variables; 4.2.2 Random functions; 4.3 SPATIAL COVARIANCE; 4.3.1 Stationarity; 4.3.2 Ergodicity; 4.4 THE COVARIANCE FUNCTION; 4.5 INTRINSIC VARIATION AND THE VARIOGRAM; 4.5.1 Equivalence with covariance; 4.5.2 Quasi-stationarity; 4.6 CHARACTERISTICS OF THE SPATIAL CORRELATION FUNCTIONS; 4.7 WHICH VARIOGRAM? 4.8 SUPPORT AND KRIGE'S RELATION4.8.1 Regularization; 4.9 ESTIMATING SEMIVARIANCES AND COVARIANCES; 4.9.1 The variogram cloud; 4.9.2 h-Scattergrams; 4.9.3 Average semivariances; 4.9.4 The experimental covariance function; 5 Modelling the Variogram; 5.1 LIMITATIONS ON VARIOGRAM FUNCTIONS; 5.1.1 Mathematical constraints; 5.1.2 Behaviour near the origin; 5.1.3 Behaviour towards infinity; 5.2 AUTHORIZED MODELS; 5.2.1 Unbounded random variation; 5.2.2 Bounded models; 5.3 COMBINING MODELS; 5.4 PERIODICITY; 5.5 ANISOTROPY; 5.6 FITTING MODELS; 5.6.1 What weights?; 5.6.2 How complex? 6 Reliability of the Experimental Variogram and Nested Sampling6.1 RELIABILITY OF THE EXPERIMENTAL VARIOGRAM; 6.1.1 Statistical distribution; 6.1.2 Sample size and design; 6.1.3 Sample spacing; 6.2 THEORY OF NESTED SAMPLING AND ANALYSIS; 6.2.1 Link with regionalized variable theory; 6.2.2 Case study: Youden and Mehlich's survey; 6.2.3 Unequal sampling; 6.2.4 Case study: Wyre Forest survey; 6.2.5 Summary; 7 Spectral Analysis; 7.1 LINEAR SEQUENCES; 7.2 GILGAI TRANSECT; 7.3 POWER SPECTRA; 7.3.1 Estimating the spectrum; 7.3.2 Smoothing characteristics of windows; 7.3.3 Confidence 7.4 SPECTRAL ANALYSIS OF THE CARAGABAL TRANSECT |
| Record Nr. | UNINA-9910830444003321 |
|
Webster R
|
||
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geostatistics for environmental scientists / / Richard Webster and Margaret A. Oliver
| Geostatistics for environmental scientists / / Richard Webster and Margaret A. Oliver |
| Autore | Webster R |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, : Wiley, c2007 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina |
550.72
550/.7/2 |
| Altri autori (Persone) | OliverM. A (Margaret A.) |
| Collana | Statistics in practice |
| Soggetto topico |
Geology - Statistical methods
Environmental sciences - Statistical methods |
| ISBN |
1-281-13530-5
9786611135300 0-470-51727-1 0-470-51726-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geostatistics for Environmental Scientists; Contents; Preface; 1 Introduction; 1.1 WHY GEOSTATISTICS?; 1.1.1 Generalizing; 1.1.2 Description; 1.1.3 Interpretation; 1.1.4 Control; 1.2 A LITTLE HISTORY; 1.3 FINDING YOUR WAY; 2 Basic Statistics; 2.1 MEASUREMENT AND SUMMARY; 2.1.1 Notation; 2.1.2 Representing variation; 2.1.3 The centre; 2.1.4 Dispersion; 2.2 THE NORMAL DISTRIBUTION; 2.3 COVARIANCE AND CORRELATION; 2.4 TRANSFORMATIONS; 2.4.1 Logarithmic transformation; 2.4.2 Square root transformation; 2.4.3 Angular transformation; 2.4.4 Logit transformation
2.5 EXPLORATORY DATA ANALYSIS AND DISPLAY2.5.1 Spatial aspects; 2.6 SAMPLING AND ESTIMATION; 2.6.1 Target population and units; 2.6.2 Simple random sampling; 2.6.3 Confidence limits; 2.6.4 Student's t; 2.6.5 The x2 distribution; 2.6.6 Central limit theorem; 2.6.7 Increasing precision and efficiency; 2.6.8 Soil classification; 3 Prediction and Interpolation; 3.1 SPATIAL INTERPOLATION; 3.1.1 Thiessen polygons (Voronoi polygons, Dirichlet tessellation); 3.1.2 Triangulation; 3.1.3 Natural neighbour interpolation; 3.1.4 Inverse functions of distance; 3.1.5 Trend surfaces; 3.1.6 Splines 3.2 SPATIAL CLASSIFICATION AND PREDICTING FROM SOIL MAPS3.2.1 Theory; 3.2.2 Summary; 4 Characterizing Spatial Processes: The Covariance and Variogram; 4.1 INTRODUCTION; 4.2 A STOCHASTIC APPROACH TO SPATIAL VARIATION: THE THEORY OF REGIONALIZED VARIABLES; 4.2.1 Random variables; 4.2.2 Random functions; 4.3 SPATIAL COVARIANCE; 4.3.1 Stationarity; 4.3.2 Ergodicity; 4.4 THE COVARIANCE FUNCTION; 4.5 INTRINSIC VARIATION AND THE VARIOGRAM; 4.5.1 Equivalence with covariance; 4.5.2 Quasi-stationarity; 4.6 CHARACTERISTICS OF THE SPATIAL CORRELATION FUNCTIONS; 4.7 WHICH VARIOGRAM? 4.8 SUPPORT AND KRIGE'S RELATION4.8.1 Regularization; 4.9 ESTIMATING SEMIVARIANCES AND COVARIANCES; 4.9.1 The variogram cloud; 4.9.2 h-Scattergrams; 4.9.3 Average semivariances; 4.9.4 The experimental covariance function; 5 Modelling the Variogram; 5.1 LIMITATIONS ON VARIOGRAM FUNCTIONS; 5.1.1 Mathematical constraints; 5.1.2 Behaviour near the origin; 5.1.3 Behaviour towards infinity; 5.2 AUTHORIZED MODELS; 5.2.1 Unbounded random variation; 5.2.2 Bounded models; 5.3 COMBINING MODELS; 5.4 PERIODICITY; 5.5 ANISOTROPY; 5.6 FITTING MODELS; 5.6.1 What weights?; 5.6.2 How complex? 6 Reliability of the Experimental Variogram and Nested Sampling6.1 RELIABILITY OF THE EXPERIMENTAL VARIOGRAM; 6.1.1 Statistical distribution; 6.1.2 Sample size and design; 6.1.3 Sample spacing; 6.2 THEORY OF NESTED SAMPLING AND ANALYSIS; 6.2.1 Link with regionalized variable theory; 6.2.2 Case study: Youden and Mehlich's survey; 6.2.3 Unequal sampling; 6.2.4 Case study: Wyre Forest survey; 6.2.5 Summary; 7 Spectral Analysis; 7.1 LINEAR SEQUENCES; 7.2 GILGAI TRANSECT; 7.3 POWER SPECTRA; 7.3.1 Estimating the spectrum; 7.3.2 Smoothing characteristics of windows; 7.3.3 Confidence 7.4 SPECTRAL ANALYSIS OF THE CARAGABAL TRANSECT |
| Record Nr. | UNINA-9910877174503321 |
|
Webster R
|
||
| Chichester, : Wiley, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||