| 000 | 04695cam a2200481Ia 4500 | ||
|---|---|---|---|
| 001 | on1151185094 | ||
| 003 | OCoLC | ||
| 005 | 20220711203158.0 | ||
| 006 | m d | ||
| 007 | cr un|---aucuu | ||
| 008 | 200418s2020 nju ob 001 0 eng d | ||
| 040 |
_aEBLCP _beng _cEBLCP _dDG1 _dEBLCP _dUKAHL _dOCLCF |
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| 020 |
_a9781119720492 _q(electronic bk. : oBook) |
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| 020 |
_a1119720494 _q(electronic bk. : oBook) |
||
| 020 | _a9781119720478 | ||
| 020 | _a1119720478 | ||
| 035 | _a(OCoLC)1151185094 | ||
| 050 | 4 | _aQA76.585 | |
| 082 | 0 | 4 |
_a004.67/82 _223 |
| 049 | _aMAIN | ||
| 245 | 0 | 0 |
_aTORUS 1 -- toward an open resource using services _h[electronic resource] : _bcloud computing for environmental data / _cedited by Dominique Laffly. |
| 260 |
_aHoboken : _bWiley, _c2020. |
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| 300 | _a1 online resource (345 p.) | ||
| 500 | _aDescription based upon print version of record. | ||
| 505 | 0 | _aCover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface: Why TORUS? Toward an Open Resource Using Services, or How to Bring Environmental Science Closer to Cloud Computing -- Structure of the book -- PART 1: Integrated Analysis in Geography: The Way to Cloud Computing -- Introduction to Part 1 -- Introduction: the landscape as a system -- 1. Geographical Information and Landscape, Elements of Formalization -- 2. Sampling Strategies -- 2.1. References -- 3. Characterization of the Spatial Structure -- 4. Thematic Information Structures | |
| 505 | 8 | _a5. From the Point to the Surface, How to Link Endogenous and Exogenous Data -- 5.1. References -- 6. Big Data in Geography -- Conclusion to Part 1: Why Here But Not There? -- PART 2: Basic Mathematical, Statistical and Computational Tools -- 7. An Introduction to Machine Learning -- 7.1. Predictive modeling: introduction -- 7.2. Bayesian modeling -- 7.2.1. Basic probability theory -- 7.2.2. Bayes rule -- 7.2.3. Parameter estimation -- 7.2.4. Learning Gaussians -- 7.3. Generative versus discriminative models -- 7.4. Classification -- 7.4.1. Naïve Bayes -- 7.4.2. Support vector machines | |
| 505 | 8 | _a7.5. Evaluation metrics for classification evaluation -- 7.5.1. Confusion matrix-based measures -- 7.5.2. Area under the ROC curve (AUC) -- 7.6. Cross-validation and over-fitting -- 7.7. References -- 8. Multivariate Data Analysis -- 8.1. Introduction -- 8.2. Principal component analysis -- 8.2.1. How to measure the information -- 8.2.2. Scalar product and orthogonal variables -- 8.2.3. Construction of the principal axes -- 8.2.4. Analysis of the principal axes -- 8.2.5. Analysis of the data points -- 8.3. Multiple correspondence analysis -- 8.3.1. Indicator matrix -- 8.3.2. Cloud of data points | |
| 505 | 8 | _a8.3.3. Cloud of levels -- 8.3.4. MCA or PCA? -- 8.4. Clustering -- 8.4.1. Distance between data points -- 8.4.2. Dissimilarity criteria between clusters -- 8.4.3. Variance (inertia) decomposition -- 8.4.4. k-means method -- 8.4.5. Agglomerative hierarchical clustering -- 8.5. References -- 9. Sensitivity Analysis -- 9.1. Generalities -- 9.2. Methods based on linear regression -- 9.2.1. Presentation -- 9.2.2. R practice -- 9.3. Morris' method -- 9.3.1. Elementary effects method (Morris' method) -- 9.3.2. R practice -- 9.4. Methods based on variance analysis -- 9.4.1. Sobol' indices | |
| 505 | 8 | _a9.4.2. Estimation of the Sobol' indices -- 9.4.3. R practice -- 9.5. Conclusion -- 9.6. References -- 10. Using R for Multivariate Analysis -- 10.1. Introduction -- 10.1.1. The dataset -- 10.1.2. The variables -- 10.2. Principal component analysis -- 10.2.1. Eigenvalues -- 10.2.2. Data points (Individuals) -- 10.2.3. Supplementary variables -- 10.2.4. Other representations -- 10.3. Multiple correspondence analysis -- 10.4. Clustering -- 10.4.1. k-means algorithm -- 10.5. References -- PART 3: Computer Science -- 11. High Performance and Distributed Computing -- 11.1. High performance computing | |
| 500 | _a11.2. Systems based on multi-core CPUs | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 650 | 0 |
_aCloud computing. _94659 |
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| 650 | 0 |
_aOpen source software. _94985 |
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| 650 | 7 |
_aCloud computing. _2fast _0(OCoLC)fst01745899 _94659 |
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| 650 | 7 |
_aOpen source software. _2fast _0(OCoLC)fst01046097 _94985 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 655 | 4 |
_aElectronic books. _93294 |
|
| 700 | 1 |
_aLaffly, Dominique. _94986 |
|
| 776 | 0 | 8 |
_iPrint version: _aLaffly, Dominique _tTORUS 1 - Toward an Open Resource Using Services : Cloud Computing for Environmental Data _dNewark : John Wiley & Sons, Incorporated,c2020 _z9781786305992 |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119720492 _zWiley Online Library |
| 942 | _cEBK | ||
| 994 |
_a92 _bDG1 |
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| 999 |
_c68394 _d68394 |
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