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Environmental data analysis : methods and applications / / Zhihua Zhang
| Environmental data analysis : methods and applications / / Zhihua Zhang |
| Autore | Zhang Zhihua |
| Pubbl/distr/stampa | Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 363.700285 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Mathematics |
| Soggetto non controllato |
Data Analysis
Environmental Science Mathematics |
| ISBN | 3-11-042498-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index |
| Record Nr. | UNINA-9910792321403321 |
Zhang Zhihua
|
||
| Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis : methods and applications / / Zhihua Zhang
| Environmental data analysis : methods and applications / / Zhihua Zhang |
| Autore | Zhang Zhihua |
| Pubbl/distr/stampa | Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 |
| Descrizione fisica | 1 online resource (334 pages) : illustrations |
| Disciplina | 363.700285 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Mathematics |
| Soggetto non controllato |
Data Analysis
Environmental Science Mathematics |
| ISBN | 3-11-042498-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index |
| Record Nr. | UNINA-9910810370803321 |
|
Zhang Zhihua
|
||
| Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke
| Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina | 363.7001/5118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910456680203321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke
| Environmental data analysis with MatLab [[electronic resource] /] / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina | 363.7001/5118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910781791903321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental data analysis with MatLab / / William Menke, Joshua Menke
| Environmental data analysis with MatLab / / William Menke, Joshua Menke |
| Autore | Menke William |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, c2012 |
| Descrizione fisica | 1 online resource (282 p.) |
| Disciplina |
363.7001/5118
363.70015118 |
| Altri autori (Persone) | MenkeJoshua E <1976-> (Joshua Ephraim) |
| Soggetto topico |
Environmental sciences - Mathematical models
Environmental sciences - Data processing |
| ISBN |
1-283-24992-8
9786613249920 0-12-391887-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Environmental Data Analysis with MatLab; Copyright; Dedication; Preface; Advice on scripting for beginners; Contents; Chapter 1: Data analysis with MatLab; 1.1. Why MatLab?; 1.2. Getting started with MatLab; 1.3. Getting organized; 1.4. Navigating folders; 1.5. Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. Element access; 1.9. To loop or not to loop; 1.10. The matrix inverse; 1.11. Loading data from a file; 1.12. Plotting data; 1.13. Saving data to a file; 1.14. Some advice on writing scripts; Problems
Chapter 2: A first look at data2.1. Look at your data!; 2.2. More on MatLab graphics; 2.3. Rate information; 2.4. Scatter plots and their limitations; Problems; Chapter 3: Probability and what it has to do with data analysis; 3.1. Random variables; 3.2. Mean, median, and mode; 3.3. Variance; 3.4. Two important probability density functions; 3.5. Functions of a random variable; 3.6. Joint probabilities; 3.7. Bayesian inference; 3.8. Joint probability density functions; 3.9. Covariance; 3.10. Multivariate distributions; 3.11. The multivariate Normal distributions 3.12. Linear functions of multivariate dataProblems; Chapter 4: The power of linear models; 4.1. Quantitative models, data, and model parameters; 4.2. The simplest of quantitative models; 4.3. Curve fitting; 4.4. Mixtures; 4.5. Weighted averages; 4.6. Examining error; 4.7. Least squares; 4.8. Examples; 4.9. Covariance and the behavior of error; Problems; Chapter 5: Quantifying preconceptions; 5.1. When least square fails; 5.2. Prior information; 5.3. Bayesian inference; 5.4. The product of Normal probability density distributions; 5.5. Generalized least squares 5.6. The role of the covariance of the data5.7. Smoothness as prior information; 5.8. Sparse matrices; 5.9. Reorganizing grids of model parameters; Problems; Chapter 6: Detecting periodicities; 6.1. Describing sinusoidal oscillations; 6.2. Models composed only of sinusoidal functions; 6.3. Going complex; 6.4. Lessons learned from the integral transform; 6.5. Normal curve; 6.6. Spikes; 6.7. Area under a function; 6.8. Time-delayed function; 6.9. Derivative of a function; 6.10. Integral of a function; 6.11. Convolution; 6.12. Nontransient signals; Problems Chapter 7: The past influences the present7.1. Behavior sensitive to past conditions; 7.2. Filtering as convolution; 7.3. Solving problems with filters; 7.4. Predicting the future; 7.5. A parallel between filters and polynomials; 7.6. Filter cascades and inverse filters; 7.7. Making use of what you know; Problems; Chapter 8: Patterns suggested by data; 8.1. Samples as mixtures; 8.2. Determining the minimum number of factors; 8.3. Application to the Atlantic Rocks dataset; 8.4. Spiky factors; 8.5. Time-Variable functions; Problems; Chapter 9: Detecting correlations among data 9.1. Correlation is covariance |
| Record Nr. | UNINA-9910826804703321 |
|
Menke William
|
||
| Amsterdam ; ; Boston, : Elsevier, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor
| Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2010 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 363.700285 |
| Altri autori (Persone) | MatejicekLubos |
| Collana | Environmental science, engineering and technology series |
| Soggetto topico |
Environmental sciences - Data processing
Geographic information systems |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-61761-913-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""ENVIRONMENTAL MODELINGWITH GIS""; ""ENVIRONMENTAL MODELINGWITH GIS""; ""CONTENTS""; ""PREFACE""; ""SPATIO-TEMPORAL MODELING OF RADIONUCLIDEDEPOSITION""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DISTRIBUTION OF RADIONUCLIDES IN THE IRISH SEA""; ""3. MODELING OF RADIONUCLIDE DEPOSITION""; ""4. SPATIO-TEMPORAL MODELING""; ""5. SPATIO-TEMPORAL MODELING WITH GIS""; ""6. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""DYNAMIC MODELING OF SURFACE WATERPOLLUTION CAUSED BY THE INDUSTRIALPOLLUTANT RELEASE""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DYNAMIC MODELING IN THE GIS ENVIRONMENT""
""3. MODELING OF THE POLLUTANT TRANSPORT""""4. SIMULATION OF THE DYNAMIC MODEL IN GIS""; ""5. DATA PROCESSING AND EXPLORATORY ANALYSIS""; ""6. SPATIO-TEMPORAL SIMULATION WITH GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""MODELING OF WATER POLLUTION IN RIVER BASINSWITH GIS""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. METHODS""; ""2.1 INTEGRATION STRATEGIES OF DYNAMIC MODELING AND GIS""; ""2.2 INTEGRATION OF SPATIAL DATA FROM AERIAL AND SATELLITEIMAGES""; ""2.3 INTEGRATION OF SPATIAL DATA FROM GPS""; ""2.4 INTEGRATION OF 3D SPATIAL DATA"" ""2.5 INTEGRATION OF ALL THE SPATIAL COMPONENTS IN THEFRAMEWORK OF GIS""""3. A CASE STUDY OF BASIN IN THE NEIGHBORHOOD OF PRAHAFOCUSED ON NITRATES""; ""3.1 MODEL DESCRIPTION OF WATER POLLUTION""; ""3.2 SPECIFICATION OF INPUT DATA""; ""3.3 DESCRIPTION OF THE DYNAMIC MODEL""; ""3.4 INTEGRATION OF THE DYNAMIC MODEL WITH GIS"" ""3.5 SPREADSHEET TOOLS AND GISFigure 13. Calculation of the dynamic model in the environment of a spreadsheet and data connectionamong the spreadsheet, the GIS or the external relational spatial database.Compartment models described by ordinary differential equations can be solved withmacros, which implement algorithms for numerical calculation (Eulcr, Runge-Kutta). In spiteof a lower efficiency of calculation, a wide use of the spreadsheet programs, built-in""""3.6 ARCGIS DEVELOPMENTS TOOLS""; ""3.7 INDIVIDUAL PROGRAMS DEVELOPED WITH GIS PROGRAMMINGLIBRARIES""; ""4. CONCLUSIONS"" ""ACKNOWLEDGMENTS""""REFERENCES""; ""SPATIO-TEMPORAL MODELINGOF THE DUST EMISSIONS FROMAN OPENCAST COAL MINING AREA""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. EMISSION SOURCES""; ""3. REMOTE SENSING, GPS AND GIS""; ""4. DISPERSION MODELING IN THE FRAMEWORK OF GIS""; ""5. VISUALIZATION OF SPATIO-TEMPORAL DATA""; ""6. A CASE STUDY OF THE SELECTED OPENCAST MINING AREA""; ""6.1. Mapping of the Dust Emission Sources""; ""6.2. Sharing Data between Dispersion Modeling Tools and GIS""; ""6.3. Visualization of Spatio Temporal Data in GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES"" ""SPATIAL MODELING AND OPTIMIZATION OFMUNICIPAL SOLID WASTE COLLECTION INURBAN REGIONS"" |
| Record Nr. | UNINA-9910465400603321 |
| New York, : Nova Science Publishers, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor
| Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2010 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 363.700285 |
| Altri autori (Persone) | MatejicekLubos |
| Collana | Environmental science, engineering and technology series |
| Soggetto topico |
Environmental sciences - Data processing
Geographic information systems |
| ISBN | 1-61761-913-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""ENVIRONMENTAL MODELINGWITH GIS""; ""ENVIRONMENTAL MODELINGWITH GIS""; ""CONTENTS""; ""PREFACE""; ""SPATIO-TEMPORAL MODELING OF RADIONUCLIDEDEPOSITION""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DISTRIBUTION OF RADIONUCLIDES IN THE IRISH SEA""; ""3. MODELING OF RADIONUCLIDE DEPOSITION""; ""4. SPATIO-TEMPORAL MODELING""; ""5. SPATIO-TEMPORAL MODELING WITH GIS""; ""6. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""DYNAMIC MODELING OF SURFACE WATERPOLLUTION CAUSED BY THE INDUSTRIALPOLLUTANT RELEASE""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DYNAMIC MODELING IN THE GIS ENVIRONMENT""
""3. MODELING OF THE POLLUTANT TRANSPORT""""4. SIMULATION OF THE DYNAMIC MODEL IN GIS""; ""5. DATA PROCESSING AND EXPLORATORY ANALYSIS""; ""6. SPATIO-TEMPORAL SIMULATION WITH GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""MODELING OF WATER POLLUTION IN RIVER BASINSWITH GIS""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. METHODS""; ""2.1 INTEGRATION STRATEGIES OF DYNAMIC MODELING AND GIS""; ""2.2 INTEGRATION OF SPATIAL DATA FROM AERIAL AND SATELLITEIMAGES""; ""2.3 INTEGRATION OF SPATIAL DATA FROM GPS""; ""2.4 INTEGRATION OF 3D SPATIAL DATA"" ""2.5 INTEGRATION OF ALL THE SPATIAL COMPONENTS IN THEFRAMEWORK OF GIS""""3. A CASE STUDY OF BASIN IN THE NEIGHBORHOOD OF PRAHAFOCUSED ON NITRATES""; ""3.1 MODEL DESCRIPTION OF WATER POLLUTION""; ""3.2 SPECIFICATION OF INPUT DATA""; ""3.3 DESCRIPTION OF THE DYNAMIC MODEL""; ""3.4 INTEGRATION OF THE DYNAMIC MODEL WITH GIS"" ""3.5 SPREADSHEET TOOLS AND GISFigure 13. Calculation of the dynamic model in the environment of a spreadsheet and data connectionamong the spreadsheet, the GIS or the external relational spatial database.Compartment models described by ordinary differential equations can be solved withmacros, which implement algorithms for numerical calculation (Eulcr, Runge-Kutta). In spiteof a lower efficiency of calculation, a wide use of the spreadsheet programs, built-in""""3.6 ARCGIS DEVELOPMENTS TOOLS""; ""3.7 INDIVIDUAL PROGRAMS DEVELOPED WITH GIS PROGRAMMINGLIBRARIES""; ""4. CONCLUSIONS"" ""ACKNOWLEDGMENTS""""REFERENCES""; ""SPATIO-TEMPORAL MODELINGOF THE DUST EMISSIONS FROMAN OPENCAST COAL MINING AREA""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. EMISSION SOURCES""; ""3. REMOTE SENSING, GPS AND GIS""; ""4. DISPERSION MODELING IN THE FRAMEWORK OF GIS""; ""5. VISUALIZATION OF SPATIO-TEMPORAL DATA""; ""6. A CASE STUDY OF THE SELECTED OPENCAST MINING AREA""; ""6.1. Mapping of the Dust Emission Sources""; ""6.2. Sharing Data between Dispersion Modeling Tools and GIS""; ""6.3. Visualization of Spatio Temporal Data in GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES"" ""SPATIAL MODELING AND OPTIMIZATION OFMUNICIPAL SOLID WASTE COLLECTION INURBAN REGIONS"" |
| Record Nr. | UNINA-9910791833603321 |
| New York, : Nova Science Publishers, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor
| Environmental modeling with GIS [[electronic resource] /] / Lubos Matejicek, editor |
| Pubbl/distr/stampa | New York, : Nova Science Publishers, c2010 |
| Descrizione fisica | 1 online resource (208 p.) |
| Disciplina | 363.700285 |
| Altri autori (Persone) | MatejicekLubos |
| Collana | Environmental science, engineering and technology series |
| Soggetto topico |
Environmental sciences - Data processing
Geographic information systems |
| ISBN | 1-61761-913-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""ENVIRONMENTAL MODELINGWITH GIS""; ""ENVIRONMENTAL MODELINGWITH GIS""; ""CONTENTS""; ""PREFACE""; ""SPATIO-TEMPORAL MODELING OF RADIONUCLIDEDEPOSITION""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DISTRIBUTION OF RADIONUCLIDES IN THE IRISH SEA""; ""3. MODELING OF RADIONUCLIDE DEPOSITION""; ""4. SPATIO-TEMPORAL MODELING""; ""5. SPATIO-TEMPORAL MODELING WITH GIS""; ""6. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""DYNAMIC MODELING OF SURFACE WATERPOLLUTION CAUSED BY THE INDUSTRIALPOLLUTANT RELEASE""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. DYNAMIC MODELING IN THE GIS ENVIRONMENT""
""3. MODELING OF THE POLLUTANT TRANSPORT""""4. SIMULATION OF THE DYNAMIC MODEL IN GIS""; ""5. DATA PROCESSING AND EXPLORATORY ANALYSIS""; ""6. SPATIO-TEMPORAL SIMULATION WITH GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""MODELING OF WATER POLLUTION IN RIVER BASINSWITH GIS""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. METHODS""; ""2.1 INTEGRATION STRATEGIES OF DYNAMIC MODELING AND GIS""; ""2.2 INTEGRATION OF SPATIAL DATA FROM AERIAL AND SATELLITEIMAGES""; ""2.3 INTEGRATION OF SPATIAL DATA FROM GPS""; ""2.4 INTEGRATION OF 3D SPATIAL DATA"" ""2.5 INTEGRATION OF ALL THE SPATIAL COMPONENTS IN THEFRAMEWORK OF GIS""""3. A CASE STUDY OF BASIN IN THE NEIGHBORHOOD OF PRAHAFOCUSED ON NITRATES""; ""3.1 MODEL DESCRIPTION OF WATER POLLUTION""; ""3.2 SPECIFICATION OF INPUT DATA""; ""3.3 DESCRIPTION OF THE DYNAMIC MODEL""; ""3.4 INTEGRATION OF THE DYNAMIC MODEL WITH GIS"" ""3.5 SPREADSHEET TOOLS AND GISFigure 13. Calculation of the dynamic model in the environment of a spreadsheet and data connectionamong the spreadsheet, the GIS or the external relational spatial database.Compartment models described by ordinary differential equations can be solved withmacros, which implement algorithms for numerical calculation (Eulcr, Runge-Kutta). In spiteof a lower efficiency of calculation, a wide use of the spreadsheet programs, built-in""""3.6 ARCGIS DEVELOPMENTS TOOLS""; ""3.7 INDIVIDUAL PROGRAMS DEVELOPED WITH GIS PROGRAMMINGLIBRARIES""; ""4. CONCLUSIONS"" ""ACKNOWLEDGMENTS""""REFERENCES""; ""SPATIO-TEMPORAL MODELINGOF THE DUST EMISSIONS FROMAN OPENCAST COAL MINING AREA""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. EMISSION SOURCES""; ""3. REMOTE SENSING, GPS AND GIS""; ""4. DISPERSION MODELING IN THE FRAMEWORK OF GIS""; ""5. VISUALIZATION OF SPATIO-TEMPORAL DATA""; ""6. A CASE STUDY OF THE SELECTED OPENCAST MINING AREA""; ""6.1. Mapping of the Dust Emission Sources""; ""6.2. Sharing Data between Dispersion Modeling Tools and GIS""; ""6.3. Visualization of Spatio Temporal Data in GIS""; ""7. CONCLUSION""; ""ACKNOWLEDGMENT""; ""REFERENCES"" ""SPATIAL MODELING AND OPTIMIZATION OFMUNICIPAL SOLID WASTE COLLECTION INURBAN REGIONS"" |
| Record Nr. | UNINA-9910816218303321 |
| New York, : Nova Science Publishers, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ESIAT 2009 : 2009 International Conference on Environmental Science and Information Application Technology : proceedings, 4-5 July 2009, Wuhan, China
| ESIAT 2009 : 2009 International Conference on Environmental Science and Information Application Technology : proceedings, 4-5 July 2009, Wuhan, China |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2009 |
| Disciplina | 628 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Computer simulation Information technology Computer science Earth & Environmental Sciences Environmental Sciences |
| ISBN | 1-5090-7505-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996216419503316 |
| [Place of publication not identified], : IEEE Computer Society, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
ESIAT 2009 : 2009 International Conference on Environmental Science and Information Application Technology : proceedings, 4-5 July 2009, Wuhan, China
| ESIAT 2009 : 2009 International Conference on Environmental Science and Information Application Technology : proceedings, 4-5 July 2009, Wuhan, China |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2009 |
| Disciplina | 628 |
| Soggetto topico |
Environmental sciences - Data processing
Environmental sciences - Computer simulation Information technology Computer science Earth & Environmental Sciences Environmental Sciences |
| ISBN | 1-5090-7505-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910139852703321 |
| [Place of publication not identified], : IEEE Computer Society, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
