Regression Modelling Wih Spatial and Spatial-Temporal Data (Record no. 96620308)
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| 000 -LEADER | |
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| fixed length control field | 06669cam a2200577Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780429088933 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220520135507.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200201s2020 flu o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781482237436 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1482237431 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429529108 |
| Qualifying information | (ePub ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429529104 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780429088933 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0429088930 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780429543807 (Mobipocket ebook) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1138671899 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1138671899 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA278.2.H35 |
| Item number | R44 2020eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT |
| Subject category code subdivision | 029000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PBT |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Haining, Robert P. |
| 245 10 - TITLE STATEMENT | |
| Title | Regression Modelling Wih Spatial and Spatial-Temporal Data |
| Medium | [electronic resource] : |
| Remainder of title | a Bayesian approach / |
| Statement of responsibility, etc. | by Robert P. Haining, Guangquan Li. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC Press LLC, |
| Date of publication, distribution, etc. | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (641 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC statistics in the social and behavioral sciences series |
| 500 ## - GENERAL NOTE | |
| General note | Description based upon print version of record. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- What Are the Aims of the Book? -- What Are the Key Features of the Book? -- The Structure of the Book -- Acknowledgements -- Part I Fundamentals for Modelling Spatial and Spatial-Temporal Data -- 1 Challenges and Opportunities Analysing Spatial and Spatial-Temporal Data -- 1.1 Introduction -- 1.2 Four Main Challenges When Analysing Spatial and Spatial-Temporal Data -- 1.2.1 Dependency -- 1.2.2 Heterogeneity -- 1.2.3 Data Sparsity -- 1.2.4 Uncertainty -- 1.2.4.1 Data Uncertainty |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.2.4.2 Model (or Process) Uncertainty -- 1.2.4.3 Parameter Uncertainty -- 1.3 Opportunities Arising from Modelling Spatial and Spatial-Temporal Data -- 1.3.1 Improving Statistical Precision -- 1.3.2 Explaining Variation in Space and Time -- 1.3.2.1 Example 1: Modelling Exposure-Outcome Relationships -- 1.3.2.2 Example 2: Testing a Conceptual Model at the Small Area Level -- 1.3.2.3 Example 3: Testing for Spatial Spillover (Local Competition) Effects -- 1.3.2.4 Example 4: Assessing the Effects of an Intervention -- 1.3.3 Investigating Space-Time Dynamics |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.4 Spatial and Spatial-Temporal Models: Bridging between Challenges and Opportunities -- 1.4.1 Statistical Thinking in Analysing Spatial and Spatial-Temporal Data: The Big Picture -- 1.4.2 Bayesian Thinking in a Statistical Analysis -- 1.4.3 Bayesian Hierarchical Models -- 1.4.3.1 Thinking Hierarchically -- 1.4.3.2 Incorporating Spatial and Spatial-Temporal Dependence Structures in a Bayesian Hierarchical Model Using Random Effects -- 1.4.3.3 Information Sharing in a Bayesian Hierarchical Model through Random Effects -- 1.4.4 Bayesian Spatial Econometrics -- 1.5 Concluding Remarks |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1.6 The Datasets Used in the Book -- 1.7 Exercises -- 2 Concepts for Modelling Spatial and Spatial-Temporal Data: An Introduction to "Spatial Thinking" -- 2.1 Introduction -- 2.2 Mapping Data and Why It Matters -- 2.3 Thinking Spatially -- 2.3.1 Explaining Spatial Variation -- 2.3.2 Spatial Interpolation and Small Area Estimation -- 2.4 Thinking Spatially and Temporally -- 2.4.1 Explaining Space-Time Variation -- 2.4.2 Estimating Parameters for Spatial-Temporal Units -- 2.5 Concluding Remarks -- 2.6 Exercises -- Appendix: Geographic Information Systems |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3 The Nature of Spatial and Spatial-Temporal Attribute Data -- 3.1 Introduction -- 3.2 Data Collection Processes in the Social Sciences -- 3.2.1 Natural Experiments -- 3.2.2 Quasi-Experiments -- 3.2.3 Non-Experimental Observational Studies -- 3.3 Spatial and Spatial-Temporal Data: Properties -- 3.3.1 From Geographical Reality to the Spatial Database -- 3.3.2 Fundamental Properties of Spatial and Spatial-Temporal Data -- 3.3.2.1 Spatial and Temporal Dependence -- 3.3.2.2 Spatial and Temporal Heterogeneity -- 3.3.3 Properties Induced by Representational Choices |
| 500 ## - GENERAL NOTE | |
| General note | 3.3.4 Properties Induced by Measurement Processes |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Spatial analysis (Statistics) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Regression analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bayesian statistical decision theory. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS / Probability & Statistics / General |
| Source of heading or term | bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Li, Guangquan, |
| Dates associated with a name | 1982- |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9780429088933">https://www.taylorfrancis.com/books/9780429088933</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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