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Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski
| Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (xiii, 313 p.) : ill |
| Disciplina | 550.1519542 |
| Altri autori (Persone) | KanevskiMikhail |
| Collana | ISTE |
| Soggetto topico |
Geology - Statistical methods
Machine learning Bayesian statistical decision theory |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9780470611463 (e-book)
9781848210608 (hbk.) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index. |
| Record Nr. | UNINA-9910139505003321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski
| Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (xiii, 313 p.) : ill |
| Disciplina | 550.1519542 |
| Altri autori (Persone) | KanevskiMikhail |
| Collana | ISTE |
| Soggetto topico |
Geology - Statistical methods
Machine learning Bayesian statistical decision theory |
| ISBN |
9780470611463 (e-book)
9781848210608 (hbk.) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index. |
| Record Nr. | UNINA-9910830444603321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski
| Advanced mapping of environmental data [[electronic resource] ] : geostatistics, machine learning, and Bayesian maximum entropy / / edited by Mikhail Kanevski |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (xiii, 313 p.) : ill |
| Disciplina | 550.1519542 |
| Altri autori (Persone) | KanevskiMikhail |
| Collana | ISTE |
| Soggetto topico |
Geology - Statistical methods
Machine learning Bayesian statistical decision theory |
| ISBN |
9780470611463 (e-book)
9781848210608 (hbk.) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Advanced Mapping of Environmental Data: Introduction -- Chapter 2. Environmental Monitoring Network Characterization and Clustering -- Chapter 3. Geostatistics: Spatial Predictions and Simulations -- Chapter 4. Spatial Data Analysis and Mapping Using Machine Learning Algorithms -- Chapter 5. Advanced Mapping of Environmental Spatial Data: Case Studies -- Chapter 6. Bayesian Maximum Entropy – BME -- Index. |
| Record Nr. | UNINA-9910840854903321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||