ALBERT

Note: (Re)discovering the continentTheoretical framework -- The coil sample -- Duration provisions -- Escape clauses and withdrawal clauses -- (Im)precision and reservations -- Dispute resolution provisions -- Punishment provisions -- Monitoring provisions -- Asymmetric design rules, voting, and power -- Conclusion..

Note: CONTENTS Preface Acknowledgments 1 Toward an Ecological Geography of the Sea The Progressive Exploration of Oceanic and Shelf Ecosystems The Availability of Timely Global Oceanographic Data from Satellites Internal Dynamics of Satellite-Observed Algal Blooms Our New Understanding of the Role of Very Small Organisms 2 Biogeographic Partition of the Ocean Taxonomic Diversity: The Shifting Baseline of Biogeography The Useful Results from 150 Years of Marine Biogeography Biogeographic Regions of the Pelagos Geographic Component of Benthic-Pelagic Coupling From Pristine to Modified Ecosystems 3 Fronts and Pycnoclines: Ecological Discontinuities Fronts and Frontal Systems Oceanic Fronts and Eddy Streets Shelf-Edge and Upwelling Fronts Tidal Fronts and River Plumes of the Shelf Seas The Ubiquitous "Horizontal Front" at the Shallow Pycnocline 4 Physical Control of Ecological Processes Ecological Consequences of Mesoscale Eddies and Planetary Waves Stratification and Irradiance: The Consequences of Latitude Regional and Latitudinal Resistance to Mixing in the Open Oceans Rule-Based Models of Ecological Response to External Forcing Case 1—Polar Irradiance-Mediated Production Peak Case 2—Nutrient-Limited Spring Production Peak Case 3—Winter-Spring Production with Nutrient Limitation Case 4—Small-Amplitude Response to Trade Wind Seasonality Case 5—Large-Amplitude Response to Monsoon-like Reversal of Trade Winds Case 6—Intermittent Production at Coastal Divergences Coastal Asymmetry, Geomorphology, and Tidal Forcing 5 Nutrient Limitation: The Example of Iron Nutrient Distribution and the Consequences of Differing Supply Ratios Regional Anomalies in Nutrient Limitation Models of Regional Nutrient Flux and Limitation 6 Biomes: The Primary Partition The Four Primary Biomes of the Upper Ocean Polar Biome Westerlies Biome Trades Biome Coastal Biome 7 Provinces: The Secondary Compartments Ecological Provinces in the Open Ocean Ways of Testing Static Province Boundaries in the Open Ocean A Statistical Test Analytical Tests Biogeographic Tests Practicable and Useful Partitions in Coastal Seas 8 Longer Term Responses: From Seasons to Centuries Scales of External Forcing Recurrent, ENSO-Scale Changes of State Multidecadal Trends and Changes Conclusion: Stable Partitions in a Varying Ocean? 9 The Atlantic Ocean Atlantic Polar Biome Boreal Polar Province (BPLR) Atlantic Arctic Province (ARCT) Atlantic Subarctic Province (SARC) Atlantic Westerly Winds Biome North Atlantic Drift Province (NADR) Gulf Stream Province (GFST) North Atlantic Subtropical Gyral Province (NAST-E, NAST-W) Mediterranean Sea, Black Sea Province (MEDI) Atlantic Trade Wind Biome North Atlantic Tropical Gyral Province (NATR) Caribbean Province (CARB) Western Tropical Atlantic Province (WTRA) Eastern Tropical Atlantic Province (ETRA) South Atlantic Gyral Province (SATL) Atlantic Coastal Biome Northeast Atlantic Shelves Province (NECS) Canary Current Coastal Province (CNRY) Guinea Current Coastal Province (GUIN) Benguela Current Coastal Province (BENG) Northwest Atlantic Shelves Province (NWCS) Guianas Coastal Province (GUIA) Brazil Current Coastal Province (BRAZ) Southwest Atlantic Shelves Province (FKLD) 10 The Indian Ocean Indian Ocean Trade Wind Biome Indian Monsoon Gyres Province (MONS) Indian South Subtropical Gyre Province (ISSG) Indian Ocean Coastal Biome Red Sea, Arabian Gulf Province (REDS) Northwest Arabian Sea Upwelling Province (ARAB) Western India Coastal Province (INDW) Eastern India Coastal Province (INDE) Eastern Africa Coastal Province (EAFR) Australia-Indonesia Coastal Province (AUSW) 11 The Pacific Ocean Pacific Polar Biome North Pacific Epicontinental Sea Province (BERS) Pacific Westerly Winds Biome Pacific Subarctic Gyres Province, East and West (PSAG) Kuroshio Current Province (KURO) North Pacific Subtropical and Polar Front Provinces (NPST and NPPF) Tasman Sea Province (TASM) Pacific Trade Winds Biome North Pacific Tropical Gyre Province (NPTG) North Pacific Equatorial Countercurrent Province (PNEC) Pacific Equatorial Divergence Province (PEQD) Western Pacific Warm Pool Province (WARM) Archipelagic Deep Basins Province (ARCH) South Pacific Subtropical Gyre Province, North and South (SPSG) Pacific Coastal Biome Alaska Coastal Downwelling Province (ALSK) California Current Province (CALC) Central American Coastal Province (CAMR) Humboldt Current Coastal Province (HUMB) China Sea Coastal Province (CHIN) Sunda-Arafura Shelves Province (SUND) East Australian Coastal Province (AUSE) New Zealand Coastal Province (NEWZ) 12 The Southern Ocean Antarctic Westerly Winds Biome South Subtropical Convergence Province (SSTC) Subantarctic Water Ring Province (SANT) Antarctic Polar Biome Antarctic Province (ANTA) Austral Polar Province (APLR) References Index

Note: Contents Chapter 1 Introduction 1.1 Goals of this Book 1.2 Current Status of Resources 1.2.1 Ozone Hole 1.2.2 Water-Borne Soil Erosion 1.2.3 Loss of Biodiversity 1.3 Impact of Resource Degradation 1.4 Nature of Resource ;Degradation 1.5 Nature of Resource Management 1.5.1 Strategic Management 1.5.2 Process or Regional Management 1.5.3 Operational Management 1.5.4 Relationship between These Levels of Management 1.6 Nature of Regional Resource Management Information Systems 1.7 Geographic Information in Resource Management 1.8 Structure of this Book Reference Chapter2 Physical Principles of Remote Sensing 2.1 Introduction 2.2 Electromagnetic Radiation 2.2.1 Nature of Electromagnetic Radiation 2.2.2 Radiometric Terms and Definitions 2.2.3 Energy Radiated by the Sun and the Earth 2.2.4 Effects of the Atmosphere 2.2.5 Correction of Remotely Sensed Data for Attenuation through the Atmosphere 2.2.5 .1 Atmospheric Correction Using Field Data 2.2.5.2 Atmospheric Correction Using Numerical Atmospheric Models 2.2.6 Measurement of Radiance and Irradiance 2.2.6.1 Collecting Optics 2.2.6.2 Filter Unit 2.2.6.3 Detectors 2.2.6.4 Output Device 2.3 Interaction of Radiation with Matter 2.3.1 Nature of Reflectance 2.3.1.1 Reflectance within the Boundary Layer 2.3.2 Reflectance of Water Surfaces 2.3.3 Reflectance Characteristics of Soils 2.3.4 Reflectance of Vegetation 2.3.5 Reflectance Characteristics of Green Leaves 2.3.6 Reflectance Characteristics of Dead Leaves 2.3.7 Vegetative Canopy Reflectance 2.3.8 Bi-Directional Reflectance Distribution Function of Surfaces 2.4 Passive Sensing Systems 2.4.1 The Camera 2.4.1.1 Lens Cone 2.4.1.2 Magazine or Digital Back 2.4.1.3 Camera Body 2.4.1.4 Suspension Mount 2.4.1.5 Light Sensitive Cell Arrays 2.4.1.6 Measurement of Resolution in Image Data 2.4.2 Acquisition of Aerial Photography with a Framing Camera 2.4.2.1 Effects of Height Differences on an Aerial Photograph 2.4.2.2 Types of Lens Cones 2.4.3 The Scanner 2.4.4 The Moving Mirror Scanner 2.4.4.1 Resolution of Scanner Data 2.4.4.2 Thermal Scanner Data 2.4.4.3 Sources of Error in Oscillating Mirror Scanner Imagery 2.4.5 Push broom Scanners 2.5 Active Sensing Systems 2.5 .1 Introduction 2.5.2 The Geometry of Radar Systems 2.5 .2.1 Resolution of Radar Data 2.5.2.2 Effect of Height Displacements 2.5.3 The Attenuation and Scattering of Radar in the Atmosphere 2.5 .4 The Information Content of Radar Imagery 2.5.4.1 Surface Roughness and Slope 2.5.4.2 Inhomogeneity 2.5.4.3 Dielectric Properties 2.5.4.4 Resonance-Sized Objects 2.5.4.5 Wavelength 2.5.4.6 Polarisation 2.5.5 Radar Interferometry 2.5.6 Summary 2.6 Hyperspectral Image Data 2.6.1 Definition 2.6.2 Applications of Hyperspectral Image Data 2.7 Hypertemporal Image Data 2.7.1 Introduction 2.8 Platforms 2.8.1 Terrestrial Platforms 2.8.2 Balloon 2.8.3 Helicopter or Boat 2.8.4 Manned and Unmanned Aircraft 2.8.4.1 Hot Spots 2.8.5 Planning an Aerial Sortie 2.8.6 Satellite Platform 2.9 Satellite Sensor Systems Additional Reading References Chapter 3 Visual Interpretation and Map Reading 3.1 Overview 3.1.1 Remotely Sensed Data and Visual Interpretation 3.1.2 Effects of Height Differences on Remotely Sensed Images 3.2 Stereoscopy 3.2.1 Introduction 3.2.2 Monocular Vision 3.2.3 Binocular Vision 3.2.4 Binocular Perception of Colour 3.2.5 General Principles of Stereoscopic Vision 3.2.6 Methods of Stereoscopic Viewing 3.2.7 Physical Methods of Separation Using Stereoscopes 3.2.8 Viewing with a Stereoscope 3.2.9 Optical Methods of Separation 3.2.9.1 Coloured Anaglyph 3.2.9.2 Polarising Filters 3.2.10 Construction of a Stereo-Triplet 3.3 Measuring Height Differences in a Stereoscopic Pair of Photographs 3.3.1 Principle of the Floating Mark 3.3.2 Parallax Bar 3.3.3 Vertical Exaggeration 3.3.4 Displacements due to Height Differences man Aenal Photograph 3.3.5 Derivation of the Parallax Bar Formulae 3.3.6 Characteristics of the Parallax Bar Equation 3.4 Planimetric Measurements on Aerial Photographs 3.4.1 Introduction 3.4.2 Determination of Scale 3.4.3 Measurement of Distances 3.4.3.1 Graduated Rule or Scale 3.4.3.2 Paper Strip 3.4.3.3 Length of String 3.4.3.4 Odometer 3.4.4 Measurement of Areas 3.4.4.1 Dot Grid 3.4.4.2 Digitiser 3.4.5 Transfer of Planimetric Detail by the Use of the Anharmoruc Ratio 3.4.5.1 Paper Strip Method 3.4.5.2 Projective Nets 3.4.6 Proportional Dividers 3.5 Perception of Colour 3.6 Principles of Photographic Interpretation 3.6.1 Introduction 3.6.2 Levels of Interpretation 3.6.2.1 Image Reading 3.6.2.2 Image Analysis 3.6.2.3 Image Interpretation 3.6.3 Principles of Object Recognition 3.6.3.1 Size 3.6.3.2 Shape 3.6.3.3 Shadow 3.6.3.4 Colour or Tone 3.6.3 .5 Pattern and Texture 3.6.4 Interpretation Strategies 3.6.4.1 Location and Association 3.6.4.2 Temporal Change 3.6.4.3 Convergence of Evidence 3.6.5 Interpretation Procedure 3.7 Visual Interpretation of lmages 3.7.1 Visual Interpretation of Thermal Image Data 3.7.2 Visual Interpretation of Radar Image Data 3.8 Maps and Map Reading 3.8.1 Map Projections 3.8.1.1 Definition of the Mathematical Shape of the Portion of the Earth 3.8.1.2 Specify How the Curved Surface of the Earth is to be Unfolded onto a Flat Sheet 3.8.2 Mapping Systems and Map Types 3.8.3 Map Co-ordinates and Bearings 3.8.4 Establishing One's Location on a Map 3.8.5 Map Reading on a Topographic.Map 3.8.6 Terrain Classification Further Reading References Chapter4 Image Processing 4.1 Overview 4.1.1 Pre-Processing 4.1.2 Enhancement 4.1.3 Classification 4.1.4 Estimation 4.1.5 Temporal Analysis 4.2 Statistical Considerations 4.2.1 Probability Density Functions 4.2.1.1 Binomial Distribution 4.2.1.2 Normal Distribution 4.2.2 Correlation 4.2.3 Statistical Characteristics of Satellite Scanner Data 4.2.4 Measures of Distance 4.2.5 Shannon's Sampling Theorem 4.2.6 Autocorrelation and Variograms 4.2.7 Frequency Domain 4.2.7.1 Scaling 4.2.7.2 Shifting 4.2.7.3 Convolution 4.2.8 Least Squares Method of Fitting 4.3 Pre-Processing of Image Data 4.3.1 Introduction 4.3.2 Rectification 4.3.2.1 Theoretical Basis for Rectification 4.3.2.2 Correction for Systematic Errors 4.3.2.3 Fitting Image Data to Ground Control 4.3.2.4 Resampling the Image Data 4.3.2.5 Windowing and Mosaicing 4.3.2.6 Rectification in Practice 4.3 .3 Radiometric Calibration 4.3.4 Atmospheric Correction 4.3.4.1 Use of a Linear Model for Atmospheric Correction 4.3.4.2 Atmospheric Correction Using Atmospheric Models 4.4 The Enhancement of Image Data 4.4.1 Radiometric Enhancement 4.4.1.1 Display of an Image 4.4.1.2 Pseudo-Colour Density Slice 4.4.1.3 Linear Enhancement 4.4.1.4 Non-Linear Enhancements 4.4.1.5 Piecewise Linear Stretch 4.4.1.6 Histogram Equalisation 4.4.2 Spectral Enhancements 4.4.2.1 Ratioing 4.4.2.2 Orthogonal Transformations 4.4.2.3 Vegetation Indices 4.4.2.4 Fourier Transformation 4.4.3 Spatial Transformations of Image Data 4.4.3.1 Measurement of Texture 4.4.3.2 Edge Detection 4.4.3.3 Removal of Regular Noise in Image Data 4.4.3.4 Analysis of Spatial Correlation: The Variogram 4.4.3.5 Image Segmentation 4.4.3 .6 Object Patterns and Object Sizes: The ALV Function 4.4.4 Temporal Enhancements 4.4.4.1 Temporal Enhancement 4.4.4.2 Principal Components 4.4.4.3 Temporal Distance Images 4.4.4.4 Fourier Analysis of Hypertemporal Data 4.5 Analysis of Mixtures or End Member Analysis 4.5.1 Linear End Member Model 4.5.2 Characteristics of the Linear End Member Model 4.5.3 Identification of End Members 4.5.4 Implementation of the Linear End Member Algorithm 4.6 Image Classification 4.6.1 Principles of Classification 4.6.2 Discriminant Function Classifiers 4.6.2.1 Development of the Maximum Likelihood Classifier 4.6.2.2 Summary 4.6.2.3 Characteristics of the Discriminant Function Family of Classifiers 4.6.2.4 Implementation of the Maximum Likelihood Classifier 4.6.3 Fuzzy Classifiers 4.6.4 Neural Network Classifiers 4.6.5 Hierarchical Classifiers 4.6.6 Classification Strategies 4.6.6.1 Types of Classes 4.6.6.2 Selecting Classes and Classifiers 4.6.6.3 Im

Note: Contents Introduction 1.1 Introduction 1.2 Land Degradation in the UNCCD and GEF 1.3 Concepts, Processes, and Scales of Land Degradation 1.4 Assessment of Resilience of Agroecosystems 2 The Potential for Assessment of Land Degradation by Remote Sensing 2.1 Normalized Difference Vegetation Index 2.2 Remote Sensing Features That Characterize NDVI- Based Assessments of Land Degradation 2.3 Other Vegetation Indices Closely Related to NDVI 2.3.1 Indices Closely Related to NDVI 2.3.2 Comparing NDVI to EVI 3 Applications of NDVI for Land Degradation Assessment 3.1 Land-Use and Land-Cover Change 3.2 Drought and Drought Early Warning 3.3 Desertification 3.4 Soil Erosion 3.5 Soil Salinization 3.6 Vegetation Burning 3.7 Soil Organic Carbon (SOC) 3.8 Biodiversity Monitoring and Conservation 3.9 Monitoring Ecosystem Resilience 4 Limits to the Use of NDVI in Land Degradation Assessment 5 Key Issues in the Use of NDVI for Land Degradation Assessment 5.1 NDVI, NPP, and Land Degradation 5.2 NDVI, RUE, and Land Degradation 5.3 Separating the Effects of Other Causes of NDVI Changes 5.4 Abrupt Changes 6 Development of Land Degradation Assessments 7 Experts’ Opinions on the Use of NDVI for Land Degradation Assessment 7.1 NDVI: Rainfall Proportionality, an Important Consideration 7.2 Building on the GLADA Assessment 8 Main Global NDVI Datasets, Databases, and Software 8.1 Main NDVI Datasets 8.2 Quality-Related Considerations 8.3 Precipitation Datasets 8.4 NDVI Software 9 Country-Level Use of Satellite Products to Detect and Map Land Degradation Processes 10 Challenges to the Use of NDVI in Land Degradation Assessments 11 Recommendations for Future Application of NDVI 11.1 In the Convention National Reporting 11.2 In a Revised GEF Resource Allocation Methodology 12 Conclusion Appendix A Inventory of Some Global and Sub-global Remote Sensing-Based Land Degradation Assessments Appendix B Use of Remote Sensing-Derived Land Productive Capacity Dynamics for the New World Atlas of Desertification (WAD) Appendix C Developments with GLADA Appendix D China’s Experiences on the Usefulness of GLADA Appendix E Main Features of Image Products from the Different Sensors Appendix F UNCCD Core Indicators for National Reporting: ICCD/COP(11)/CST/2 Appendix G Current Cost of Selected Satellite Imagery Appendix H Software for Processing Satellite Images to Develop the NDVI References

Note: Zugl.: Greifswald, Univ., Diss., 2005

Note: Contents Acknowledgments Chapter 1. Introduction 1.1 Discovery 1.2 General Introduction 1.3 Just for Fun — An Isotope Biography of Mr. Polychaete Chapter 2. Isotope Notation and Measurement Overview 2.1 The Necessary Minimum for Ecologists 2.2 Why Use the 5 Notation? 2.3 Why Is 8 a Good Substitute for % Heavy Isotope? 2.4 8 and the Ratio-of-Ratios 2.5 Chapter Summary Chapter 3. Using Stable Isotope Tracers Overview 3.1 Isotope Circulation in the Biosphere 3.2 Landscape Ecology and Isotope Maps 3.3 Community Ecology and Invasive Species in Food Webs 3.4 Life History Ecology and Animal Migrations 3.5 Plants, Microbes, and Scaling Up 3.6 Chapter Summary Chapter 4. Isotope Chi ("I Chi") Overview 4.1 Chocolate Isotopes 4.2 Oxygen in the Sea 4.3 Equations for Isotope Chi ("I Chi") 4.4 Building an I Chi Gain-Loss Model, Step by Step 4.5 Errors in I Chi Models 4.6 Exact Equations for I Chi Models 4.7 Cows in a Pasture 4.8 Chapter Summary Chapter 5. Mixing Overview 5.1 Isotope Mixing in Food Webs 5.2 Isotope Sourcery 5.3 Mixing Mechanics 5.4 Advanced Mixing Mechanics 5.5 Mixing Assumptions and Errors or the Art and Wisdom of Using Isotope Mixing Models 5.6 River Sulfate and Mass-Weighted Mixing 5.7 A Special Muddy Case and Mixing Through Time 5.8 The Qualquan Chronicles and Mixing Across Landscapes 5.9 Dietary Mixing, Turnover, and a Stable Isotope Clock 5.10 Chapter Summary Chapter 6. Isotope Additions Overview 6.1 Addition Addiction 6.2 The Golden Spike Award for Isotopes 6.3 Chapter Summary Chapter 7. Fractionation Overview 7.1 Fractionation Fundamentals 7.2 Isotopium and Fractionation in Closed Systems 7.3 A Strange and Routine Case 7.4 A Genuine Puzzle — Fractionation or Mixing? 7.5 Cracking the Closed Systems 7.6 Equilibrium Fractionation, Subtle Drama in the Cold 7.7 A Supply/Demand Model for Open System Fractionation 7.8 Open System Fractionation and Evolution of the Earth's Sulfur Cycle 7.9 Open System Legacies 7.10 Conducting Fractionation Experiments 7.11 Chapter Summary Chapter 8. Scanning the Future Overview 8.1 The Isotope Scanner 8.2 Mangrove Maude 8.3 The Beginner's Advantage—Imagine! 8.4 Chapter Summary Appendix. Important Isotope Equations and Useful Conversions Index Supplemental Electronic Materials on the Accompanying CD A. Chapter 1 Color Figures and Cartoon Problems B. Chapter 2 Color Figures and Cartoon Problems Technical Supplement 2A: Measuring Spiked Samples Technical Supplement 2B: Ion Corrections Technical Supplement 2C: The Ratio Notation and The Power of 1 C. Chapter 3 Color Figures and Cartoons Problems D. Chapter 4 Color Figures and Cartoons Problems I Chi Spreadsheets E. Chapters 5 Color Figures and Cartoons Problems I Chi Spreadsheets F. Chapter 6 Color Figure and Cartoon Problems I Chi Spreadsheet Technical Supplement 6A: How Much Isotope Should I Add? Technical Supplement 6B: Noisy Data and Data Analysis with Enriched Samples G. Chapter 7 Color Figures and Cartoons Problems I Chi Spreadsheets Technical Supplement 7A: A Chemist's View of Isotope Effects Technical Supplement 7B: Derivations of Closed System Isotope Equations H. Chapter 8 Color Figures and Cartoons Problems I. All Problems for Chapters 1-8 J. All Answers to Problems for Chapters 1-8 K. All Figures and Cartoons L. All I Chi Spreadsheets M. A Reading List

Note: Contents: 1. Introduction. 2. RC Filter. 3. General linear time invariant systems. 4. The seismometer. 5. The sampling process. 6. Analog-to-digital conversion. 7. From infinitely continuous to finite discrete. 8. The digital anti-alias filter. 9. Inverse and simulation filtering of digital seismograms. 10. The measurement of wavelet parameters from digital seismograms. References. Appendix: Solution to problems.

Note: Zugl.: München,Univ. der Bundeswehr, Diss., 2005

Note: Contents 1. Introduction 1.1 Historical Background 1.2 Some Examples of Spectral Methods 1.2.1 A Fourier Galerkin Method for the Wave Equation 1.2.2 A Chebyshev Collocation Method for the Heat Equation 1.2.3 A Legendre Galerkin with Numerical Integration (G-NI) Method for the Advection-Diffusion-Reaction Equation 1.2.4 A Legendre Tau Method for the Poisson Equation 1.2.5 Basic Aspects of Galerkin, Collocation, G-NI and Tau Methods 1.3 Three-Dimensional Applications in Fluids: A Look Ahead 2. Polynomial Approximation 2.1 The Fourier System 2.1.1 The Continuous Fourier Expansion 2.1.2 The Discrete Fourier Expansion 2.1.3 Differentiation 2.1.4 The Gibbs Phenomenon 2.2 Orthogonal Polynomials in (−1, 1) 2.2.1 Sturm-Liouville Problems 2.2.2 Orthogonal Systems of Polynomials 2.2.3 Gauss-Type Quadratures and Discrete Polynomial Transforms 2.3 Legendre Polynomials 2.3.1 Basic Formulas 2.3.2 Differentiation 2.3.3 Orthogonality, Diagonalization and Localization 2.4 Chebyshev Polynomials 2.4.1 Basic Formulas 2.4.2 Differentiation 2.5 Jacobi Polynomials 2.6 Approximation in Unbounded Domains 2.6.1 Laguerre Polynomials and Laguerre Functions 2.6.2 Hermite Polynomials and Hermite Functions 2.7 Mappings for Unbounded Domains 2.7.1 Semi-Infinite Intervals 2.7.2 The Real Line 2.8 Tensor-Product Expansions 2.8.1 Multidimensional Mapping 2.9 Expansions on Triangles and Related Domains 2.9.1 Collapsed Coordinates and Warped Tensor-Product Expansions 2.9.2 Non-Tensor-Product Expansions 2.9.3 Mappings 3. Basic Approaches to Constructing Spectral Methods 3.1 Burgers Equation 3.2 Strong and Weak Formulations of Differential Equations 3.3 Spectral Approximation of the Burgers Equation 3.3.1 Fourier Galerkin 3.3.2 Fourier Collocation 3.3.3 Chebyshev Tau 3.3.4 Chebyshev Collocation 3.3.5 Legendre G-NI 3.4 Convolution Sums 3.4.1 Transform Methods and Pseudospectral Methods 3.4.2 Aliasing Removal by Padding or Truncation 3.4.3 Aliasing Removal by Phase Shifts 3.4.4 Aliasing Removal for Orthogonal Polynomials 3.5 Relation Between Collocation, G-NI and Pseudospectral Methods 3.6 Conservation Forms 3.7 Scalar Hyperbolic Problems 3.7.1 Enforcement of Boundary Conditions 3.7.2 Numerical Examples 3.8 Matrix Construction for Galerkin and G-NI Methods 3.8.1 Matrix Elements 3.8.2 An Example of Algebraic Equivalence between G-NI and Collocation Methods 3.9 Polar Coordinates 3.10 Aliasing Effects 4. Algebraic Systems and Solution Techniques 4.1 Ad-hoc Direct Methods 4.1.1 Fourier Approximations 4.1.2 Chebyshev Tau Approximations 4.1.3 Galerkin Approximations 4.1.4 Schur Decomposition and Matrix Diagonalization 4.2 Direct Methods 4.2.1 Tensor Products of Matrices 4.2.2 Multidimensional Stiffness and Mass Matrices 4.2.3 Gaussian Elimination Techniques 4.3 Eigen-Analysis of Spectral Derivative Matrices 4.3.1 Second-Derivative Matrices 4.3.2 First-Derivative Matrices 4.3.3 Advection-Diffusion Matrices 4.4 Preconditioning 4.4.1 Fundamentals of Iterative Methods for Spectral Discretizations 4.4.2 Low-Order Preconditioning of Model Spectral Operators in One Dimension 4.4.3 Low-Order Preconditioning in Several Dimensions 4.4.4 Spectral Preconditioning 4.5 Descent and Krylov Iterative Methods for Spectral Equations 4.5.1 Multidimensional Matrix-Vector Multiplication 4.5.2 Iterative Methods 4.6 Spectral Multigrid Methods 4.6.1 One-Dimensional Fourier Multigrid Model Problem 4.6.2 General Spectral Multigrid Methods 4.7 Numerical Examples of Direct and Iterative Methods 4.7.1 Fourier Collocation Discretizations 4.7.2 Chebyshev Collocation Discretizations 4.7.3 Legendre G-NI Discretizations 4.7.4 Preconditioners for Legendre G-NI Matrices 4.8 Interlude 5. Polynomial Approximation Theory 5.1 Fourier Approximation 5.1.1 Inverse Inequalities for Trigonometric Polynomials 5.1.2 Estimates for the Truncation and Best Approximation Errors 5.1.3 Estimates for the Interpolation Error 5.2 Sturm-Liouville Expansions 5.2.1 Regular Sturm-Liouville Problems 5.2.2 Singular Sturm-Liouville Problems 5.3 Discrete Norms 5.4 Legendre Approximations 5.4.1 Inverse Inequalities for Algebraic Polynomials 5.4.2 Estimates for the Truncation and Best Approximation Errors 5.4.3 Estimates for the Interpolation Error 5.4.4 Scaled Estimates 5.5 Chebyshev Approximations 5.5.1 Inverse Inequalities for Polynomials 5.5.2 Estimates for the Truncation and Best Approximation Errors 5.5.3 Estimates for the Interpolation Error 5.6 Proofs of Some Approximation Results 5.7 Other Polynomial Approximations 5.7.1 Jacobi Polynomials 5.7.2 Laguerre and Hermite Polynomials 5.8 Approximation in Cartesian-Product Domains 5.8.1 Fourier Approximations 5.8.2 Legendre Approximations 5.8.3 Mapped Operators and Scaled Estimates 5.8.4 Chebyshev and Other Jacobi Approximations 5.8.5 Blended Trigonometric and Algebraic Approximations 5.9 Approximation in Triangles and Related Domains 6. Theory of Stability and Convergence 6.1 Three Elementary Examples Revisited 6.1.1 A Fourier Galerkin Method for the Wave Equation 6.1.2 A Chebyshev Collocation Method for the Heat Equation 6.1.3 A Legendre Tau Method for the Poisson Equation 6.2 Towards a General Theory 6.3 General Formulation of Spectral Approximations to Linear Steady Problems 6.4 Galerkin, Collocation, G-NI and Tau Methods 6.4.1 Galerkin Methods 6.4.2 Collocation Methods 6.4.3 G-NI Methods 6.4.4 Tau Methods 6.5 General Formulation of Spectral Approximations to Linear Evolution Problems 6.5.1 Conditions for Stability and Convergence: The Parabolic Case 6.5.2 Conditions for Stability and Convergence: The Hyperbolic Case 6.6 The Error Equation 7. Analysis of Model Boundary-Value Problems 7.1 The Poisson Equation 7.1.1 Legendre Methods 7.1.2 Chebyshev Methods 7.1.3 Other Boundary-Value Problems 7.2 Singularly Perturbed Elliptic Equations 7.2.1 Stabilization of Spectral Methods 7.3 The Eigenvalues of Some Spectral Operators 7.3.1 The Discrete Eigenvalues for Lu = −uxx 7.3.2 The Discrete Eigenvalues for Lu = −νuxx + βux 7.3.3 The Discrete Eigenvalues for Lu = ux 7.4 The Preconditioning of Spectral Operators 7.5 The Heat Equation 7.6 Linear Hyperbolic Equations 7.6.1 Periodic Boundary Conditions 7.6.2 Nonperiodic Boundary Conditions 7.6.3 The Resolution of the Gibbs Phenomenon 7.6.4 Spectral Accuracy for Non-Smooth Solutions 7.7 Scalar Conservation Laws 7.8 The Steady Burgers Equation Appendix A. Basic Mathematical Concepts A.1 Hilbert and Banach Spaces A.2 The Cauchy-Schwarz Inequality A.3 Linear Operators Between Banach Spaces A.4 The Fr´echet Derivative of an Operator A.5 The Lax-Milgram Theorem A.6 Dense Subspace of a Normed Space A.7 The Spaces Cm(Ω), m ≥ 0 A.8 Functions of Bounded Variation and the Riemann(-Stieltjes) Integral A.9 The Lebesgue Integral and Lp-Spaces A.10 Infinitely Differentiable Functions and Distributions A.11 Sobolev Spaces and Sobolev Norms A.12 The Sobolev Inequality A.13 The Poincar´e Inequality A.14 The Hardy Inequality A.15 The Gronwall Lemma Appendix B. Fast Fourier Transforms Appendix C. Iterative Methods for Linear Systems C.1 A Gentle Approach to Iterative Methods C.2 Descent Methods for Symmetric Problems C.3 Krylov Methods for Nonsymmetric Problems Appendix D. Time Discretizations D.1 Notation and Stability Definitions D.2 Standard ODE Methods D.2.1 Leap Frog Method D.2.2 Adams-Bashforth Methods D.2.3 Adams-Moulton Methods D.2.4 Backwards-Difference Formulas D.2.5 Runge-Kutta Methods D.3 Integrating Factors D.4 Low-Storage Schemes References Index

Note: Methodology of Lithium Analytical Chemistry and Isotopic MeasurementsCosmochemistry of Lithium -- Li Partitioning, Diffusion and Associated Isotopic Fractionation: Theoretical and Experimental Insights -- Lithium in the Deep Earth: Mantle and Crustal Systems -- The Surficial Realm: Low Temperature Geochemistry of Lithium..

Note: Contents: Abstract. - Kurzfassung. - 1 Introduction. - 1.1 Motivation. - 1.2 Scientific questions. - 1.3 Method. - 2 Background and state of the science. - 2.1 The atmospheric aerosol. - 2.1.1 Relevance. - 2.1.2 Aerosol processes. - 2.1.3 Aerosol properties. - 2.2 The influence of ship emissions. - 2.3 Aerosol modeling. - 2.3.1 Selected results. - 2.3.2 Motivation to expand on previous work. - 2.3.3 The computational approach. - 2.3.4 Existing aerosol microphysics submodels. - 2.3.5 MADE3 as a successor of MADE and MADE-in. - 3 The aerosol submodel MADE3. - 3.1 Aerosol characteristics. - 3.1.1 Modes. - 3.1.2 Species. - 3.1.3 Mathematical representation of aerosol characteristics. - 3.2 Aerosol processes. - 3.2.1 Gas–particle partitioning. - 3.2.2 Condensation of H2SO4 and organic vapors. - 3.2.3 New particle formation. - 3.2.4 Coagulation. - 3.2.5 Renaming. - 3.2.6 Aging of insoluble particles. - 4 Box model tests. - 4.1 Model description: MADE vs. MADE3. - 4.2 Model description: PartMC-MOSAIC. - 4.3 Test case scenario. - 4.4 Results: MADE3 vs. MADE. - 4.4.1 Size distributions. - 4.4.2 Composition. - 4.5 Results: MADE3 vs. PartMC-MOSAIC. - 4.5.1 Size distributions. - 4.5.2 Composition. - 4.6 Summary and conclusions. - 5 MADE3 in the atmospheric chemistry general circulation model EMAC. - 5.1 Basic settings. - 5.2 Emissions. - 5.3 Transport. - 5.4 Gas phase chemistry. - 5.5 Cloud formation. - 5.5.1 Stratiform clouds. - 5.5.2 Convective clouds. - 5.6 Cloud and precipitation processing of the aerosol. - 5.7 Wet deposition. - 5.8 Dry deposition. - 5.9 Sedimentation. - 5.10 Optical properties. - 6 Evaluation of simulated tropospheric aerosol properties. - 6.1 Data comparability. - 6.2 The MADE3 aerosol within EMAC. - 6.2.1 Near-surface mass concentrations. - 6.2.2 Vertical distributions. - 6.2.3 Size distributions. - 6.2.4 Aerosol optical depth. - 6.2.5 Global tropospheric burdens and residence times. - 6.2.6 Summary and conclusions. - 6.3 Comparison to MADE. - 6.4 New features of MADE3. - 7 Effects of oceanic ship emissions on atmospheric aerosol particles. - 7.1 Effects of year 2000 emissions. - 7.1.1 Near-surface concentrations. - 7.1.2 Near-surface size distributions. - 7.1.3 Tropospheric burdens. - 7.2 Effects of an idealized fuel sulfur content reduction. - 7.3 Summary and conclusions. - 8 Summary, conclusions, and outlook. - Appendix. - A.1 Particle evolution in the box model study. - A.2 Gas phase chemical mechanism. - A.3 Liquid phase chemical mechanism. - A.4 Mode assignment of cloud residual aerosol. - A.4.1 Terminology. - A.4.2 Basic assumptions. - A.4.3 Algorithm for residual assignment. - A.5 Year 2000 aerosol in EMAC with MADE3. - A.6 Near-surface mass concentration evaluation. - References. - Acronyms, symbols, and species names. - Acronyms. - Symbols. - Tracers and chemical species. - Danksagung.

Note: Beiträge überwiegend deutsch, teilweise englisch

Note: Machine generated contents note:1. Inclusive Developmen t: Debates and Issues -- 2. Inclusive Development and the Burdens of History -- 3. Addressing the Social Deficit in the Wake of Neoliberal Reforms -- 4. Mexico and Indonesia : Politics and Development in Weak States -- 5. Chile : Moving towards Greater Inclusion: From Political Polarization to Consensus -- 6. South Korea : Authoritarianism, Democracy, and the Struggle to Maintain Inclusive Development -- 7. Conclusions: The Politics and Policies of Inclusive Development..

Note: Contents: Part I By Stephen M. Gardiner 1. How Will We be Remembered? ; 2. Betraying the Future ; 3. Who Are We and What Do We Want? ; 4. Justice vs. Extortion Part II By David A. Weisbach ; 5. Introduction to Part II ; 6. Climate Policy and Self-Interest ; 7. The Role of Claims of Justice in Climate Change Policy ; 8. Summing Up ; Part III Responses ; 9. 'The Feasible is Political' ; 10. Weisbach Responds to Gardiner

Note: Introduction and overview -- Climate policies in the United States -- Theories of climate policy -- The structural theory applied to the cases -- Causes of climate policies in the fifty states -- Air-pollution and energy policy making in California (the 1940s to the 1980s) -- Climate policy making in California (the 2000s to the present) -- Energy and climate policy making in New York State -- Energy and climate policy making by the federal government -- Conclusions : political opportunities for climate policy in the United States.

Note: Zugl.: Helsinki, Univ., Diss., 2006

Note: Contents: 1 Introduction ; I Background ; 2 Vector Spaces ; 3 Linear Algebra and Matrices ; 4 Foundations of Probability ; 5 Modeling Dependence ; 6 Asymptotics ; 7 Further Topics in Probability ; II Foundations of Statistics ; 8 Estimators ; 9 Properties of Estimators ; 10 Confidence Intervals and Tests ; III Econometric Models ; 11 Regression ; 12 Ordinary Least Squares ; 13 Large Samples and Dependence ; 14 Regularization ; IV Appendix

Note: Originalsprache: Inuit, Tuvaluisch, Englisch; Untertitel: Deutsch, Englisch, Französisch, Italienisch, Spanisch, Portugiesisch, Grönländisch, Tuvaluisch

Note: Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks

Note: Introduction: understanding Arctic change through assessmentsAnd stakeholder engagement / Adam Stepien, Paula Kankaanpaa and Timo Koivurova -- The making of a coherent Arctic policy for the European Union : anxieties, contradictions and possible future pathways / Adam Stepien and Timo Koivurova -- Climate change in the Arctic / Mikko Strahlendorff, Sebastien Duyck, Johan Gille, Anastasia Leonenko, Timo Koivurova, Marie-Theres von Schickfus, Adam Stepien and Jennie Thomas -- Changes in Arctic maritime transport / Gunnar Sander, Johan Gille, Adam Stepien, Timo Koivurova, Jennie Thomas, Jean-Claude Gascard and Debra Justus -- Changing nature of Arctic fisheries / Sigmar Arnarsson and Debra Justus -- Arctic offshore hydrocarbons and the European Union : more constraints and less opportunities / Michal Luszczuk, Debra Justus, Jennie Thomas, Chris Klok and Federica Gerber -- Mining in the European Arctic / Kim van Dam, Annette Scheepstra, Johan Gille, Adam Stepien and Timo Koivurova -- Activities affecting land use in the European Arctic / Kirsi Latola, Simo Sarkki, Adam Stepien and Mikko Jokinen -- Socioeconomic and cultural changes in the European Arctic / Adam Stepien, Karolina Banul, Annette Scheepstra, Kim van Dam, Kirsi Latola and Timo Koivurova -- European Arctic initiatives : capacities, gaps and future opportunities / Lize-Marie van der Watt, Arne Riedel, Bjorn Dahlback, Elizabeth Tedsen, Kamil Jagodzinski and Paula Kankaanpaa -- Role and effectiveness of assessments in policy-making : on the importance of the process / Malgorzata Smieszek, Karolina Banul, Paula Kankaanpaa, Timo Koivurova, Pamela Lesser and Adam Stepien -- Conclusion: the region of uncertainty - arctic change and possible pathways for the EU / Adam Stepien, Timo Koivurova and Paula Kankaanpaa..

Note: Contents: Structure and function of contemporary food webs on Arctic shelves: an introduction / P. Wassmann. - Past glacial and interglacial conditions in the Arctic Ocean and marginal seas - a review / D. A. Darby, L. Polyak and H. A. Bauch. - Climate variability and physical forcing of the food webs and the carbon budget on panarctic shelves / E. Carmack, D. Barber, J. Christensen, R. Macdonald, B. Rudels and E. Sakshaug. - Physical and biological characteristics of the pelagic system across Fram Strait to Kongsfjorden / H. Hop, S. Falk-Petersen, H. Svendsen, S. Kwasniewski, V. Pavlov, O. Pavlova and J. E. Søreide. - Food webs and carbon flux in the Barents Sea / P. Wassmann, M. Reigstad, T. Haug, B. Rudels, M. L. Carroll, H. Hop, G. W. Gabrielsen, S. Falk-Petersen, S. G. Denisenko, E. Arashkevich, D. Slagstad and O. Pavlova.

Note: Contents: Preface; Acknowledgements; 1. Urban systems; 2. Models and methods; 3. The spatial organization of cities; 4. Infrastructure networks; 5. Mobility patterns; 6. Multimodality in cities; 7. Socio-economical aspects; 8. Systems of cities; 9. Towards a new science of cities; References; Index

Note: Machine generated contents note:1. An Introduction 2. Placing the Arctic within Analytical and Theoretical Frameworks 3. Efforts at Creating an Arctic Regime 4. The Swedish Chairmanship 5. The Project Unfolds 6. Assessing the Accomplishments of the Swedish Chairmanship 7. Considering the Future. Bibliography..

Note: Contents: Part One: Why Great Companies Can Fail ; 1 How can great firms fail? Insights from the Hard Disk Drive industry ; 2 Value networks and the impetus to innovate ; 3 Disruptive technological change in the mechanical excavator industry ; Part Two: Managing Disruptive Technological Change ; 5 Give responsibility for disruptive technologies to organizations whose customers need them ; 6 Match the size of the organization to the size of the market ; 7 Discovering new and emerging markets ; 8 How to appraise your organization's capabilities and disabilities ; 9 Performance provided, market demand, and the product life cycle ; 10 Managing disruptive technological change: a case study ; 11 The dilemma of innovation: a summary

Note: Contents: Foreword to the Encyclopedia ; Foreword to Volume 1 ; Introduction to Volume 1 ; PART I GENERAL THEMES The Goals of Climate Policy ; 1. The Science of Climate Change: A Legal Perspective on the IPCC ; 2. The Precautionary Principle and Climate Change ; 3. Setting the Social Cost of Carbon ; 4. Human Rights and Climate Change: Building Synergies for a Common Future ; Approaches to Addressing Climate Change ; 5. Climate Policy Instrument Choices ; 6. Corporate Social Responsibility and Climate Change ; 7. Local Authorities and Climate Change ; 8. Individual Behaviour, The Social Sciences and Climate Change ; 9. Criminal Law and Climate Change ; 10. Research and Scholarship on Climate Change Law in Developing Countries ; PART II INTERNATIONAL LAW PERSPECTIVE General Issues ; 11. The Climate as a Global Common ; 12. CBDR and Climate Change ; 13. The Potential Roles of the ICJ in Climate Change-related Claims ; 14. Unilateralism, Extraterritoriality and Climate Change ; 15. Climate Engineering and International Law ; 16. Carbon Capture and Storage as a Bridging Technology ; Treaties Related to Climate Change ; The UN Negotiation Process ; 17. The United Nations Framework Convention on Climate Change: A Framework Approach to Climate Change ; 18. The UNFCCC: Legal Scholarship in Four Key Areas ; 19. The Kyoto Protocol, With a Special Focus on the Flexible Mechanisms ; 20. The Kyoto Protocol’s Compliance Mechanism ; 21. REDD+ as a Climate Change Mitigation Mechanism ; 22. International Treaty Fragmentation and Climate Change ; Alternative International Approaches ; 23. ICAO and IMO: International Sectoral Approaches to Greenhouse Gas Reductions in Transport ; 24. Interlinkages Between Climate Change, Ozone Depletion and Air Pollution: The International Legal Framework ; 25. The WTO and Climate Change ; 26. Climate Change and International Investment Treaties ; PART III NATIONAL AND REGIONAL PERSPECTIVES ON REDUCING GREENHOUSE GASES General Issues ; 27. Polycentrism and Climate Change ; 28. Climate Change Federalism ; 29. Environmental Impact Assessments and Climate Change ; 30. The Role of the National Courts in GHG Emissions Reductions ; Regional and National Mitigation Approaches ; Emissions Trading ; 31. Greenhouse Gas Emissions Trading in the EU ; 32. North American Greenhouse Gas Emission Trading Systems ; 33. Emissions Trading in China ; Other Regulatory Approaches to Reduce Greenhouse Gases ; 34. Traditional Regulation’s Role in Greenhouse Gas Abatement ; 35. Carbon Taxes ; 36. Transportation as a Climate Wedge and Challenge under United States Law ; 37. Biofuel ; 38. Renewable Energy: Support Mechanisms ; 39. Renewable Energy: Public Acceptance and Citizens’ Financial Participation ; 40. Energy Efficiency and Conservation ; Mitigation Strategies in Developing Countries ; 41. India’s Climate Change Mitigation Strategy ; 42. Green Growth Policy in Korea ; PART IV ADAPTATION Specific Impacts and Sectors ; 43. Integrated Water Law and Climate Change: An EU Perspective ; 44. Water Availability and Allocation ; 45. Managing Ecosystem Effects in an Era of Rapid Climate Change ; 46.Ocean Adaptation ; 47. Coastal Issues ; 48. Adaptation and the Energy Sector ; Cross-cutting Issues and Adaptation Techniques ; 49. Adaptation Justice ; 50. Loss and Damage in the UN Climate Regime ; 51. Indigenous Peoples and Climate Change ; 52. Human Mobility and Climate Change ; 53. Urban Planning and Climate Change ; 54. Insurance ; 55. Disaster Law and Climate Change ; PART V CONCLUSIONS 56. The Emergence of Global Climate Law

Note: Contents: 1. Introduction and examples ; 2. Mechanism design basics ; 3. Myerson's Lemma ; 4. Algorithmic mechanism design 34 ; 5. Revenue-maximizing auctions ; 6. Simple near-optimal auctions ; 7. Multi-parameter mechanism design ; 8. Spectrum auctions ; 9. Mechanism design with payment constraints ; 10. Kidney exchange and stable matching ; 11. Selfish routing and the price of anarchy ; 12. Network over-provisioning and atomic selfish routing ; 13. Equilibria: definitions, examples, and existence ; 14. Robust price-of-anarchy bounds in smooth games ; 15. Best-case and strong Nash equilibria ; 16. Best-response dynamics ; 17. No-regret dynamics ; 18. Swap regret and the Minimax theorem ; 19. Pure Nash equilibria and PLS-completeness ; 20. Mixed Nash equilibria and PPAD-completeness.