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Environmental modelling [[electronic resource] ] : new research / / Paul N. Findley, editor
Environmental modelling [[electronic resource] ] : new research / / Paul N. Findley, editor
Pubbl/distr/stampa New York, : Nova Science Publishers, c2009
Descrizione fisica 1 online resource (250 p.)
Disciplina 577.01/5118
Altri autori (Persone) FindleyPaul N
Soggetto topico Environmental sciences - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-61728-411-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910459767303321
New York, : Nova Science Publishers, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Environmental modelling [[electronic resource] ] : new research / / Paul N. Findley, editor
Environmental modelling [[electronic resource] ] : new research / / Paul N. Findley, editor
Pubbl/distr/stampa New York, : Nova Science Publishers, c2009
Descrizione fisica 1 online resource (250 p.)
Disciplina 577.01/5118
Altri autori (Persone) FindleyPaul N
Soggetto topico Environmental sciences - Mathematical models
ISBN 1-61728-411-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910785181403321
New York, : Nova Science Publishers, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Environmental modelling : new research / / Paul N. Findley, editor
Environmental modelling : new research / / Paul N. Findley, editor
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Nova Science Publishers, c2009
Descrizione fisica 1 online resource (250 p.)
Disciplina 577.01/5118
Altri autori (Persone) FindleyPaul N
Soggetto topico Environmental sciences - Mathematical models
ISBN 1-61728-411-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- ENVIRONMENTAL MODELLING:NEW RESEARCH -- CONTENTS -- PREFACE -- EXPERT COMMENTARY -- ADVANCES IN SPACE-TIME TECHNOLOGY FORASSESSING HUMAN EXPOSURE TO ENVIRONMENTALCONTAMINANTS -- Abstract -- Introduction -- Space-Time Software Systems -- Space-Time Datasets for Exposure Assessment -- Example Applications of Space-Time Exposure Reconstruction -- Conclusion -- References -- RESEARCH AND REVIEW STUDIES -- BAYESIAN BELIEF NETWORKS IN ENVIRONMENTALMODELLING: A REVIEW OF RECENT PROGRESS -- Abstract -- Introduction -- Description of a BBN -- Literature Search Methods -- Domains -- Network Structure -- Obtaining Conditional Probabilities -- Model Testing -- Sensitivity Analysis -- Use of BBNs to Support Decision-Making -- Advantages of BBNs -- Limitations of BBNs -- Conclusions and Forward Look -- Acknowledgements -- References -- EOF REGRESSION ANALYTICAL MODELWITH APPLICATIONS TO THE RETRIEVALOF ATMOSPHERIC TEMPERATURE AND GASCONSTITUENTS CONCENTRATION FROM HIGHSPECTRAL RESOLUTION INFRAREDOBSERVATIONS -- Abstract -- 1. Introduction -- 2. Mathematical Theory -- 3. EOF Based Regression Algorithm -- 3.1. Data and Parameters Space, Training Data Set and Basic Definitions -- 3.2. How Many Principal Components Do We Need to Extract? -- 3.3. The System of Regression Coefficients -- 3.3.1. Bias and Second Order Statistics of the Retrieval -- 3.3.2. Assessing the Vertical Spatial Resolution of the Retrieval, the Index iD -- 4. Implementation with Simulated Data and Assessment of theRetrieval Performance -- 4.1. More on "How Many Components doWe Need to Extract?" -- 4.2. Values of the Retrieval Interdependency Index, iD -- 5. Application to Real Observations -- 5.1. CAMEX/3 Experiment -- 5.2. EAQUATE Experiment -- 5.3. IASI Tropical Soundings -- 6. Conclusion -- Acknowledgment -- References.
COMOVEMENT AND CYCLICAL PATTERNSOF SOUTHERN PINE BEETLE OUTBREAKS -- Abstract -- 1. Introduction -- 2. Methods and Data -- 2.1. Measuring Infestation Risk -- 2.2. Assessing Comovement -- 2.3. Assessing Cyclical Patterns -- 3. Results -- 3.1. Infestation Risk -- 3.2. Comovement -- 3.3. Cyclical Patterns -- 4. Concluding Remarks -- References -- TRENDS IN MODELLING OF RADIONUCLIDESUPTAKE BY PARTICULATE MATTER IN THE MARINEENVIRONMENT USING BOX MODELS -- Abstract -- I. Introduction -- II. Theory of Ion Exchange between Water and SuspendedParticles -- III. Development of Kinetic Box Models -- III.1. The One-Step Reversible Reaction -- II. Theory of Ion Exchange between Water and SuspendedParticles -- III. Development of Kinetic Box Models -- III.1. The One-Step Reversible Reaction -- III.2. The Two-Step Model -- III.3. The Three-Step Model -- IV. Applicability of Box Models -- Strontium -- Americium -- Plutonium -- V. Conclusion -- References -- SPATIAL DOWN-SCALING AS A TOOL TO IMPROVEMULTIFUNCTIONALITY INDICATORS IN ECONOMICMODELS -- Abstract -- 1. Introduction -- 2. Methods -- 2.1. The CAPRI Model1 -- 2.2. Regional Down-Scaling 3 -- 2.3. Meta-model of DNDC -- 2.3. Meta-model of DNDC -- 3. Indicators -- 4. Indicator Performance -- 5. Technical Solution -- 6. Conclusion -- Acknowledgements -- References -- ADAPTIVE CONTROL METHODOLOGY AND SOMEAPPLICATIONS IN ENVIRONMENTAL MODELLING -- Abstract -- 1. Introduction -- 2. Adaptive Control Methodology -- 2.1. The Methodology -- 2.2. Environmental Modelling with ACM -- 3. A Sustainability Case Study -- 3.1. Background -- 3.2. The Initial Policies in 'NOW - 5 years' -- 3.3. Monitoring 'NOW' the Initial Policies -- 3.4. Revisiting 'NOW' the Initial Policies -- 4. Conclusion -- References -- PREDICTION OF SEDIMENT SOURCE AREASWITHIN WATERSHEDS AS AFFECTED BY SOIL DATARESOLUTION -- Abstract -- Introduction.
Description of SWAT -- STATSGO versus SSURGO -- Study Area within the Elm River Watershed -- Study Area within the Cowhouse Creek Watershed -- Model Set up -- Assessment Method -- Results and Discussion -- Calibrated Models -- Predicted Sediment -- Conclusions -- Acknowledgement -- References -- LANDSLIDE MODELING -- Abstract -- 1. Introduction -- 2. Landslide Mapping -- 3. Physically-Based Landslide Models -- 3.1. Factor of Safety (FS) -- 3.2. Critical Rainfall Model -- 4. Statistical Landslide Model -- 4.1. Bivariate Analysis -- 4.2. Multivariate Analysis -- 5. Model Validation -- 6. Examples of Landslide Models -- 6.1. A Critical Rainfall Model -- 6.2. A Certainty Factor Model -- 6.3. A Logistic Regression Model -- 7. Conclusion -- References -- SPATIAL MODELLING OF GROUNDWATERPOLLUTION USING A GIS -- Abstract -- Introduction -- Study Area -- Geology and Hydrogeology -- Materiel and Methods -- Sampling and Analysis -- GIS Approaches -- Multivariate Analysis -- Results -- 1. Physico-Chemical Parameters -- 2. Cation Chemistry -- 3. Anion Chemistry -- 4. Heavy Metals Distributions in Groundwater Samples -- 5. Multivariate Analysis -- 6. GIS Analysis -- Conclusion -- References -- INDEX.
Record Nr. UNINA-9910957680403321
New York, : Nova Science Publishers, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to WinBUGS for ecologists [[electronic resource] ] : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kéry
Introduction to WinBUGS for ecologists [[electronic resource] ] : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kéry
Autore Kéry Marc
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier, 2010
Descrizione fisica 1 online resource (321 p.)
Disciplina 577.01/5118
Soggetto topico Biometry - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-282-75566-8
9786612755668
0-12-378606-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA
Chapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance
Chapter 22. Conclusions Appendix: A List of WinBUGS Tricks
Record Nr. UNINA-9910456371803321
Kéry Marc  
Amsterdam ; ; Boston, : Elsevier, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to WinBUGS for ecologists [[electronic resource] ] : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kéry
Introduction to WinBUGS for ecologists [[electronic resource] ] : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kéry
Autore Kéry Marc
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier, 2010
Descrizione fisica 1 online resource (321 p.)
Disciplina 577.01/5118
Soggetto topico Biometry - Data processing
ISBN 1-282-75566-8
9786612755668
0-12-378606-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA
Chapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance
Chapter 22. Conclusions Appendix: A List of WinBUGS Tricks
Record Nr. UNINA-9910781160303321
Kéry Marc  
Amsterdam ; ; Boston, : Elsevier, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduction to WinBUGS for ecologists : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kery
Introduction to WinBUGS for ecologists : Bayesian approach to regression, ANOVA, mixed models and related analyses / / Marc Kery
Autore Kéry Marc
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, : Elsevier, 2010
Descrizione fisica 1 online resource (321 p.)
Disciplina 577.01/5118
Soggetto topico Biometry - Data processing
ISBN 1-282-75566-8
9786612755668
0-12-378606-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA
Chapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance
Chapter 22. Conclusions Appendix: A List of WinBUGS Tricks
Record Nr. UNINA-9910957655003321
Kéry Marc  
Amsterdam ; ; Boston, : Elsevier, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui