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Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto genere / forma Electronic books.
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910465523203321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto non controllato Multilevel Model
SAS®
Statistics
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910791967403321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel models : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Edizione [1st ed.]
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto non controllato Multilevel Model
SAS®
Statistics
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910828881503321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Pubbl/distr/stampa Beijing, China, : Higher Education Press, 2011
Descrizione fisica 1 online resource (314 p.)
Disciplina 515.353
518.5
Altri autori (Persone) DamlamianAlain
MiaraBernadette
LiDaqian
Collana Series in contemporary applied mathematics
Soggetto topico Homogenization (Differential equations)
Differential equations, Nonlinear
Mathematical analysis
Soggetto genere / forma Electronic books.
ISBN 981-4366-89-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Alain Damlamian An Introduction to Periodic Homogenization; 1 Introduction; 2 The main ideas of Homogenization; The three steps of Homogenization; 3 The model problem and three theoretical methods; 3.1 The multiple-scale expansion method; 3.2 The oscillating test functions method; 3.2.1 The proof of Theorem 3.4; 3.2.2 Convergence of the energy; 3.3 The two-scale convergence method; References; Alain Damlamian The Periodic Unfolding Method in Homogenization; 1 Introduction; 2 Unfolding in Lp-spaces; 2.1 The unfolding operator T; 2.2 The averaging operator U
2.3 The connection with two-scale convergence2.4 The local average operator M; 3 Unfolding and gradients; 4 Periodic unfolding and the standard homogenization problem; 4.1 The model problem and the standard homogenization result; 4.2 The Unfolding result: the case of strong convergence of the right-hand side; 4.3 Proof of Theorem 4.3; 4.4 The convergence of the energy and its consequences; 4.5 Some corrector results and error estimates; 4.6 The case of weak convergence of the right-hand side; 5 Periodic unfolding and multiscales; 6 Further developments; References
Gabriel Nguetseng and Lazarus Signing Deterministic Homogenization of Stationary Navier-Stokes Type Equations1 Introduction; 2 Periodic homogenization of stationary Navier-Stokes type equations; 2.1 Preliminaries; 2.2 A global homogenization theorem; 2.3 Macroscopic homogenized equations; 3 General deterministic homogenization of stationary Navier-Stokes type equations; 3.1 Preliminaries and statement of the homogenization problem; 3.2 A global homogenization theorem; 3.3 Macroscopic homogenized equations; 3.4 Some concrete examples
4 Homogenization of the stationary Navier- Stokes equations in periodic porous media4.1 Preliminaries; 4.2 Homogenization results; References; Patricia Donato Homogenization of a Class of Imperfect Transmission Problems; 1 Introduction; 2 Setting of the problem and main results; 3 Some preliminary results; 4 A priori estimates; 5 A class of suitable test functions; 5.1 The test functions in the reference cell Y; 5.2 The test functions in; 6 Proofs of Theorems 2.1 and 2.2; 6.1 Identification of 1 + 2; 6.2 Identification of 1 and 2 for -1 < < 1; 6.3 Identification of u2
7 Proof of Theorem 2.4 (case > 1)7.1 A priori estimates; 7.2 Identification of 1; 7.3 Identification of 2; References; Georges Griso Decompositions of Displacements of Thin Structures; 1 Introduction; 2 The main theorem; 2.1 Poincar ́e-Wirtinger's inequality in an open bounded set star-shaped with respect to a ball; 2.2 Distances between a displacement and the space of the rigid body displacements; 3 Decomposition of curved rod displacements; 3.1 Notations; 3.2 Elementary displacements and decomposition; 4 Decomposition of shell displacements; 4.1 Notations and preliminary
4.2 Elementary displacements and decompositions
Record Nr. UNINA-9910457497603321
Beijing, China, : Higher Education Press, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Pubbl/distr/stampa Beijing, China, : Higher Education Press, 2011
Descrizione fisica 1 online resource (314 p.)
Disciplina 515.353
518.5
Altri autori (Persone) DamlamianAlain
MiaraBernadette
LiDaqian
Collana Series in contemporary applied mathematics
Soggetto topico Homogenization (Differential equations)
Differential equations, Nonlinear
Mathematical analysis
ISBN 981-4366-89-7
Classificazione SK 950
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Alain Damlamian An Introduction to Periodic Homogenization; 1 Introduction; 2 The main ideas of Homogenization; The three steps of Homogenization; 3 The model problem and three theoretical methods; 3.1 The multiple-scale expansion method; 3.2 The oscillating test functions method; 3.2.1 The proof of Theorem 3.4; 3.2.2 Convergence of the energy; 3.3 The two-scale convergence method; References; Alain Damlamian The Periodic Unfolding Method in Homogenization; 1 Introduction; 2 Unfolding in Lp-spaces; 2.1 The unfolding operator T; 2.2 The averaging operator U
2.3 The connection with two-scale convergence2.4 The local average operator M; 3 Unfolding and gradients; 4 Periodic unfolding and the standard homogenization problem; 4.1 The model problem and the standard homogenization result; 4.2 The Unfolding result: the case of strong convergence of the right-hand side; 4.3 Proof of Theorem 4.3; 4.4 The convergence of the energy and its consequences; 4.5 Some corrector results and error estimates; 4.6 The case of weak convergence of the right-hand side; 5 Periodic unfolding and multiscales; 6 Further developments; References
Gabriel Nguetseng and Lazarus Signing Deterministic Homogenization of Stationary Navier-Stokes Type Equations1 Introduction; 2 Periodic homogenization of stationary Navier-Stokes type equations; 2.1 Preliminaries; 2.2 A global homogenization theorem; 2.3 Macroscopic homogenized equations; 3 General deterministic homogenization of stationary Navier-Stokes type equations; 3.1 Preliminaries and statement of the homogenization problem; 3.2 A global homogenization theorem; 3.3 Macroscopic homogenized equations; 3.4 Some concrete examples
4 Homogenization of the stationary Navier- Stokes equations in periodic porous media4.1 Preliminaries; 4.2 Homogenization results; References; Patricia Donato Homogenization of a Class of Imperfect Transmission Problems; 1 Introduction; 2 Setting of the problem and main results; 3 Some preliminary results; 4 A priori estimates; 5 A class of suitable test functions; 5.1 The test functions in the reference cell Y; 5.2 The test functions in; 6 Proofs of Theorems 2.1 and 2.2; 6.1 Identification of 1 + 2; 6.2 Identification of 1 and 2 for -1 < < 1; 6.3 Identification of u2
7 Proof of Theorem 2.4 (case > 1)7.1 A priori estimates; 7.2 Identification of 1; 7.3 Identification of 2; References; Georges Griso Decompositions of Displacements of Thin Structures; 1 Introduction; 2 The main theorem; 2.1 Poincar ́e-Wirtinger's inequality in an open bounded set star-shaped with respect to a ball; 2.2 Distances between a displacement and the space of the rigid body displacements; 3 Decomposition of curved rod displacements; 3.1 Notations; 3.2 Elementary displacements and decomposition; 4 Decomposition of shell displacements; 4.1 Notations and preliminary
4.2 Elementary displacements and decompositions
Record Nr. UNINA-9910779068003321
Beijing, China, : Higher Education Press, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Multiscale problems [[electronic resource] ] : theory, numerical approximation and applications / / editors, Alain Damlamian, Bernadette Miara, Tatsien Li
Edizione [1st ed.]
Pubbl/distr/stampa Beijing, China, : Higher Education Press, 2011
Descrizione fisica 1 online resource (314 p.)
Disciplina 515.353
518.5
Altri autori (Persone) DamlamianAlain
MiaraBernadette
LiDaqian
Collana Series in contemporary applied mathematics
Soggetto topico Homogenization (Differential equations)
Differential equations, Nonlinear
Mathematical analysis
ISBN 981-4366-89-7
Classificazione SK 950
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Alain Damlamian An Introduction to Periodic Homogenization; 1 Introduction; 2 The main ideas of Homogenization; The three steps of Homogenization; 3 The model problem and three theoretical methods; 3.1 The multiple-scale expansion method; 3.2 The oscillating test functions method; 3.2.1 The proof of Theorem 3.4; 3.2.2 Convergence of the energy; 3.3 The two-scale convergence method; References; Alain Damlamian The Periodic Unfolding Method in Homogenization; 1 Introduction; 2 Unfolding in Lp-spaces; 2.1 The unfolding operator T; 2.2 The averaging operator U
2.3 The connection with two-scale convergence2.4 The local average operator M; 3 Unfolding and gradients; 4 Periodic unfolding and the standard homogenization problem; 4.1 The model problem and the standard homogenization result; 4.2 The Unfolding result: the case of strong convergence of the right-hand side; 4.3 Proof of Theorem 4.3; 4.4 The convergence of the energy and its consequences; 4.5 Some corrector results and error estimates; 4.6 The case of weak convergence of the right-hand side; 5 Periodic unfolding and multiscales; 6 Further developments; References
Gabriel Nguetseng and Lazarus Signing Deterministic Homogenization of Stationary Navier-Stokes Type Equations1 Introduction; 2 Periodic homogenization of stationary Navier-Stokes type equations; 2.1 Preliminaries; 2.2 A global homogenization theorem; 2.3 Macroscopic homogenized equations; 3 General deterministic homogenization of stationary Navier-Stokes type equations; 3.1 Preliminaries and statement of the homogenization problem; 3.2 A global homogenization theorem; 3.3 Macroscopic homogenized equations; 3.4 Some concrete examples
4 Homogenization of the stationary Navier- Stokes equations in periodic porous media4.1 Preliminaries; 4.2 Homogenization results; References; Patricia Donato Homogenization of a Class of Imperfect Transmission Problems; 1 Introduction; 2 Setting of the problem and main results; 3 Some preliminary results; 4 A priori estimates; 5 A class of suitable test functions; 5.1 The test functions in the reference cell Y; 5.2 The test functions in; 6 Proofs of Theorems 2.1 and 2.2; 6.1 Identification of 1 + 2; 6.2 Identification of 1 and 2 for -1 < < 1; 6.3 Identification of u2
7 Proof of Theorem 2.4 (case > 1)7.1 A priori estimates; 7.2 Identification of 1; 7.3 Identification of 2; References; Georges Griso Decompositions of Displacements of Thin Structures; 1 Introduction; 2 The main theorem; 2.1 Poincar ́e-Wirtinger's inequality in an open bounded set star-shaped with respect to a ball; 2.2 Distances between a displacement and the space of the rigid body displacements; 3 Decomposition of curved rod displacements; 3.1 Notations; 3.2 Elementary displacements and decomposition; 4 Decomposition of shell displacements; 4.1 Notations and preliminary
4.2 Elementary displacements and decompositions
Record Nr. UNINA-9910816311803321
Beijing, China, : Higher Education Press, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
Pubbl/distr/stampa Beijing, China, : Higher Education Press
Descrizione fisica 1 online resource (295 p.)
Disciplina 570.1/5195
Altri autori (Persone) FanJianqing
LinXihong
LiuJun S
Collana Frontiers of statistics
Soggetto topico Biometry
Bioinformatics
Soggetto genere / forma Electronic books.
ISBN 1-282-44276-7
9786612442766
981-283-744-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou.
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index
Record Nr. UNINA-9910456949203321
Beijing, China, : Higher Education Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
Pubbl/distr/stampa Beijing, China, : Higher Education Press
Descrizione fisica 1 online resource (295 p.)
Disciplina 570.1/5195
Altri autori (Persone) FanJianqing
LinXihong
LiuJun S
Collana Frontiers of statistics
Soggetto topico Biometry
Bioinformatics
ISBN 1-282-44276-7
9786612442766
981-283-744-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou.
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index
Record Nr. UNINA-9910780920203321
Beijing, China, : Higher Education Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
New developments in biostatistics and bioinformatics [[electronic resource] /] / editors, Jianqing Fan, Xihong Lin, Jun S. Liu
Pubbl/distr/stampa Beijing, China, : Higher Education Press
Descrizione fisica 1 online resource (295 p.)
Disciplina 570.1/5195
Altri autori (Persone) FanJianqing
LinXihong
LiuJun S
Collana Frontiers of statistics
Soggetto topico Biometry
Bioinformatics
ISBN 1-282-44276-7
9786612442766
981-283-744-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; Part I Analysis of Survival and Longitudinal Data; Chapter 1 Non- and Semi- Parametric Modeling in Survival Analysis Jianqing Fan, Jiancheng Jiang.; Chapter 2 Additive-Accelerated Rate Model for Recurrent Event Donglin Zeng, Jianwen Cai; Chapter 3 An Overview on Quadratic Inference Function Approaches for Longitudinal Data John J. Dziak, Runze Li, Annie Qu; Chapter 4 Modeling and Analysis of Spatially Correlated Data Yi Li; Part II Statistical Methods for Epidemiology; Chapter 5 Study Designs for Biomarker-Based Treatment Selection Amy Laird, Xiao-Hua Zhou.
Chapter 6 Statistical Methods for Analyzing Two-Phase Studies Jinbo ChenPart III Bioinformatics; Chapter 7 Protein Interaction Predictions from Diverse Sources Yin Liu, Inyoung Kim, Hongyu Zhao; Chapter 8 Regulatory Motif Discovery: From Decoding to Meta-Analysis Qing Zhou, Mayetri Gupta; Chapter 9 Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays Cheng Li, Samir Amin; Chapter 10 Analysis of ChIP-chip Data on Genome Tiling Microarrays W. Evan Johnson, Jun S. Liu, X. Shirley Liu; Subject Index.; Author Index
Record Nr. UNINA-9910817190303321
Beijing, China, : Higher Education Press
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New thinking in GIScience / / Bin Li [and four others], editors
New thinking in GIScience / / Bin Li [and four others], editors
Pubbl/distr/stampa Singapore : , : Springer : , : Higher Education Press, , [2022]
Descrizione fisica 1 online resource (379 pages)
Disciplina 910.285
Soggetto topico Geographic information systems
Geographic information systems - Research
Public health
ISBN 981-19-3816-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science -- 1.1 Introduction -- 1.2 Geographic Representation -- 1.3 Geocomputation -- 1.4 Concluding Remarks -- References -- 2 On Holo-spatial Information System -- 2.1 Introduction -- 2.2 The Concept of Holo-spatial Information System -- 2.3 Object-Oriented Modeling for HSIS -- 2.4 Information Management Framework of HSIS -- 2.5 Conclusion and Discussion -- References -- 3 The Virtual Geographic Environments: More than the Digital Twin of the Physical Geographical Environments -- 3.1 Introduction -- 3.2 Virtual Geographic Environments -- 3.2.1 The Definition and Concepts of Virtual Geographic Environments -- 3.2.2 The Evolution of Virtual Geographic Environments -- 3.2.3 Features of Virtual Geographic Environments -- 3.3 Digital Twins -- 3.3.1 Concepts and Definitions of Digital Twin -- 3.3.2 Characteristics of Digital Twins -- 3.4 Discussion -- 3.5 Conclusions -- References -- 4 Big Remote Sensing Data as Curves -- 4.1 Introduction -- 4.2 Traditional Perceptions of Big Remote Sensing Data -- 4.3 Novel Perceptions of Big Remote Sensing Data -- 4.4 New Thinking of Big Remote Sensing Data and New Theoretic Frame for Data Processing and Fusion -- 4.5 Conclusions -- References -- 5 GIScience from Viewpoint of Information Science -- 5.1 Introduction -- 5.2 GIScience in Its Current Definitions -- 5.3 GIScience from the Viewpoint of Information Science -- 5.4 GIScience as a Branch of Information Science -- 5.5 Outlook -- References -- 6 Towards Place-Based GIS -- 6.1 Introduction -- 6.2 Building Blocks Towards Place-Based GIS -- 6.2.1 Platial Data and Characteristics -- 6.2.2 Representation and Computational Models of Place -- 6.2.3 Platial Analysis and Visualization -- 6.3 Conclusion -- References.
7 The Bottom-Up Approach and De-mapping Direction of GIS -- 7.1 Introduction -- 7.2 Motivation and Facilitation for GIS to Incorporate Bottom-Up Methods -- 7.3 Examples of Bottom-Up Methods -- 7.4 Concluding Remarks -- References -- 8 The Geography of Geography -- 8.1 The Questions -- 8.2 The Exploration -- 8.2.1 The Data -- 8.2.2 The Findings -- 8.3 The Future -- References -- 9 Classification and Description of Geographic Information: A Comprehensive Expression Framework -- 9.1 Introduction -- 9.2 The Connotation of Geographic Information -- 9.2.1 Overall Framework -- 9.2.2 Information Elements for Ternary Space -- 9.2.3 Seven Dimensions for Geographical Information Description -- 9.3 Example of the New Geographic Information Description -- 9.4 Conclusion -- References -- 10 On the Third Law of Geography -- 10.1 About Laws of Geography -- 10.2 The Third Law of Geography -- 10.3 Issues to Address -- 10.4 Summary -- References -- 11 Human Mobility and the Neighborhood Effect Averaging Problem (NEAP) -- 11.1 Introduction -- 11.2 The Neighborhood Effect Averaging Problem -- 11.3 Recent Studies on the NEAP -- 11.4 Implications of the NEAP -- References -- 12 How to Form and Answer the So What Question in GIScience -- 12.1 Introduction -- 12.2 The "So What" Question in Education, Medical Research and Geography -- 12.2.1 The Relevance in Technology Education -- 12.2.2 The PICOT Format in Medical Research -- 12.2.3 The WWO Format in Geography -- 12.3 The WWHO or the "Gazing on the Peak" Format in GIScience -- 12.4 Conclusion -- References -- 13 Prospects on Causal Inferences in GIS -- 13.1 Introduction -- 13.2 Causal Inference Is Not New -- 13.3 Spatial Statistical Causal Inference Is New -- 13.4 Relevance to GIS -- 13.5 Conclusions -- References -- 14 Bayesian Methods for Geospatial Data Analysis -- 14.1 Introduction -- 14.2 Bayesian Inference.
14.3 Applications of Bayesian Models in Geospatial Problems -- 14.3.1 Bayesian Spatial Interpolation -- 14.3.2 Bayesian Models for Disease Mapping, Risk Estimate, and Prediction -- 14.3.3 Bayesian Hierarchical Models -- 14.3.4 Bayesian Spatial Autoregressive Models -- 14.4 Bayesian Implementation -- 14.5 Some Concluding Thoughts -- References -- 15 GIS Software Product Development Challenges in the Era of Cloud Computing -- 15.1 Introduction -- 15.2 Challenges to Developing GIS Software as SaaS -- 15.2.1 Agile Development Philosophy and Microservice Architecture -- 15.2.2 Security -- 15.2.3 Continuous Integration/Continuous Delivery (CI/CD) -- 15.2.4 Shift-Left Testing, Testing Automation and Chaos Engineering -- 15.2.5 Integration with Existing Systems -- 15.2.6 Big Data Stores -- 15.2.7 Big Data Processing and GPU Database -- 15.2.8 Production System Monitoring -- 15.2.9 Integration of GeoAI and Machine Learning -- 15.2.10 Open-Source Strategy -- 15.2.11 Geospatial Functionality Development -- 15.2.12 Development Team Building -- 15.3 Concluding Remarks -- References -- 16 Spatial Thinking of Computational Intensity in the Era of CyberGIS -- 16.1 Introduction -- 16.2 Computational Intensity Map -- 16.3 Summary -- References -- 17 GeoAI and the Future of Spatial Analytics -- 17.1 Challenges in Spatial Analytics -- 17.1.1 The Size Challenge of Big Data -- 17.1.2 Navigating Through the Messiness of Big Data -- 17.1.3 Hypothesis Test Versus Knowledge Mining -- 17.2 GeoAI: A New Form of Spatial Analytics -- 17.3 Concluding Remarks -- References -- 18 Deep Learning of Big Geospatial Data: Challenges and Opportunities -- 18.1 Introduction -- 18.2 Challenges in Geospatial Analysis of Big Geospatial Data -- 18.2.1 Complex Geospatial Patterns -- 18.2.2 Heterogeneous Data Sources -- 18.2.3 Geospatial Uncertainty -- 18.3 The Promises of Deep Learning.
18.4 Discussions -- References -- 19 Towards Domain-Knowledge-Based Intelligent Geographical Modeling -- 19.1 Complexity in Geographical Modeling -- 19.2 Intelligent Geographical Modeling -- 19.3 Domain Knowledge and Operation of Intelligent Geographical Modeling -- 19.4 How to Realize Intelligent Geographical Modeling? -- 19.5 Potential Contributions to AI -- 19.6 Concluding Remarks -- References -- 20 Mitigating Spatial Bias in Volunteered Geographic Information for Spatial Modeling and Prediction -- 20.1 Introduction -- 20.2 Spatial Bias in VGI -- 20.3 A Representativeness-Directed Approach to Bias Mitigation -- 20.3.1 Measuring Sample Representativeness -- 20.3.2 Representativeness-Directed Bias Mitigation -- 20.4 Applications -- 20.5 Outlook on Future Research -- References -- 21 Dealing with Unstructured Geospatial Data -- 21.1 Introduction -- 21.2 Characteristics of the Unstructured Geospatial Data -- 21.3 Technologies and Challenges of Unstructured Geospatial Data -- 21.4 Conclusion -- References -- 22 Green Cartography and Energy-Aware Maps: Possible Research Opportunities -- 22.1 Introduction -- 22.2 Should Digital Maps Be Energy-Aware? -- 22.2.1 Map Content with Energy Consumption -- 22.2.2 Map Form with Energy Consumption -- 22.3 Possible Research Opportunities of Digital Maps Being Energy-Aware -- 22.3.1 Making Energy-Aware Maps -- 22.3.2 Using Energy-Aware Maps -- 22.4 Summary -- References -- 23 Next Step in Vegetation Remote Sensing: Synergetic Retrievals of Canopy Structural and Leaf Biochemical Parameters -- 23.1 Introduction -- 23.2 Synergetic Retrievals of Both Canopy Structural and Leaf Biochemical Parameters -- 23.2.1 Major Issues in LAI Retrieval -- 23.2.2 Major Issues in LCC Retrieval -- 23.2.3 Synergetic Retrievals of LAI and LCC.
23.3 Tradeoff of Canopy Structural and Leaf Biochemical Parameters in Terrestrial Ecosystem Models -- 23.4 Summary -- References -- 24 LiDAR Remote Sensing of Forest Ecosystems: Applications and Prospects -- 24.1 Introduction -- 24.2 Evolution of 3D Forest Observation -- 24.3 Beyond 3D: New Spectrum of LiDAR Applications in Forest Ecosystem Studies -- 24.3.1 Application of LiDAR Structural, Temporal, and Spectral Information in Forest Ecosystem Studies -- 24.3.2 Linking the Forest Structure Information with Radiative Transfer Models and Ecological Processes -- 24.4 Prospects for LiDAR Remote Sensing of Forest Ecosystems -- 24.5 Conclusions -- References -- 25 Dense Satellite Image Time Series Analysis: Opportunities, Challenges, and Future Directions -- 25.1 Introduction -- 25.2 Opportunities for Developing Dense Time-Series Remote Sensing -- 25.2.1 New Data Sources -- 25.2.2 Stronger Capability of Data Processing -- 25.2.3 New Applications -- 25.3 Challenges of Dense SITS Analysis -- 25.3.1 Data Quality Control -- 25.3.2 Data Analysis Techniques -- 25.3.3 Cloud Impact -- 25.4 Future Directions -- 25.4.1 Data Fusion to Reconstruct High-Quality Time Series -- 25.4.2 Modeling Spatial-Temporal Information -- 25.4.3 Development of Analysis-Ready Data and User-Friendly Tools -- 25.5 Conclusion -- References -- 26 Digital Earth: From Earth Observations to Analytical Solutions -- 26.1 Introduction -- 26.2 Remote Sensing: A Long Path of Earth Observations -- 26.3 Social Sensing: VGI Collection and Dissemination -- 26.4 Digital Earth: An Integrated Analytical Solution -- 26.5 Conclusion -- References -- 27 Spatial-Temporal Big Data Enables Social Governance -- 27.1 Introduction -- 27.2 Current Situation of Social Governance -- 27.2.1 Why Social Governance Needs GIS? -- 27.2.2 Problems and Challenges in Social Governance.
27.2.3 New Ways and Exploration of GIS for Social Governance.
Record Nr. UNINA-9910741137603321
Singapore : , : Springer : , : Higher Education Press, , [2022]
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