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Causes and Consequences of Species Diversity in Forest Ecosystems
| Causes and Consequences of Species Diversity in Forest Ecosystems |
| Autore | Gilliam Frank S |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto non controllato |
gamma diversity
tree species Climatic change individual species-area relationship woody species TILD trees Pseudotsuga menziesii windthrow precipitation species conservation spatial analysis codispersion analysis variation partitioning herbaceous perennial species northern hardwood forests climate change stand development potential habitats Smithsonian ForestGEO tree regeneration forest conversion Biodiversity Exploratories trunk breakage topography questionnaire survey mid-domain effect assemblage lineage diversity Salicaceae salvaging temperate forests Shannon diversity USDA Forest Service tree species diversity Bray-Curtis species-area relationship Ericaceae legacies Picea abies herbaceous layer spatial patterns mountains United States wind damage abundance Hubbard Brook elevational shifts uprooting species diversity evolutionary diversity Pinus sylvestris natural disturbance-based silviculture Vietnam diversity Maxent human footprint productivity China microarthropod phylogenetic diversity temperature household respondents succession biodiversity tornado salvage logging excess nitrogen climate forest management understory plant communities Simpson diversity species richness landscape scale structural complexity tropical evergreen mixed forest seasonal variations disturbance severity competition and facilitation canopy structure Fagus sylvatica |
| ISBN | 3-03921-310-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346683003321 |
Gilliam Frank S
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910461571103321 |
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Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910789871903321 |
|
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910823944403321 |
|
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||