Thematic cartography and geovisualization [printed text] / Terry A. Slocum, Author ; Robert B. McMaster, Author ; Fritz C. Kessler, Author ; Hugh H. Howard, Author . - 3rd ed. . - Upper Saddle River (N.J.) : Pearson Prentice Hall, 2009 . - 561 p. : ill. ; 29 cm. - ( Prentice Hall series in geographic information science) . ISBN : 978-0-13-229834-6 : £ 98,86 Languages : English ( eng)
| Descriptors: |
Indexation
Geography ; Handbooks ; Maps
Classification
GA 108 Cartography
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| Abstract: |
This comprehensive text blends broad coverage of basic methods for symbolizing spatial data with an introduction to cutting-edge data visualization techniques. The authors’ balanced presentation clearly contrasts different approaches for symbolizing spatial data, in addition to individual mapping techniques. - See more at: http://www.pearsonhighered.com/pearsonhigheredus/educator/product/products_detail.page?isbn=0132298341#sthash.TnJyEbrE.dpuf |
| Contents note: |
PART I -- Introduction -- 1. Thematic Cartography and Geovisualization -- 1.1 What is a Thematic Map? -- 1.2 How are Thematic Maps Used? -- 1.3 Basic Steps for Communicating Map Information -- 1.4 Consequences of Technological Change in Cartography -- 1.5 Geovisualization -- 1.6 Related Techniques -- 1.7 Cognitive Issues in Cartography -- 1.8 Social and Ethical Issues in Cartography -- 2. A Historical Perspective on Thematic Cartography -- 2.1 A Brief History of Cartography -- 2.2 History of Thematic Cartography -- 2.3 History of U.S. Academic Cartography -- 2.4 The Paradigms of American Cartography -- 3. Statistical and Graphical Foundation -- 3.1 Population and Sample -- 3.2 Descriptive Versus Inferential Statistics -- 3.3 Methods for Analyzing Spatial Data, Ignoring Location -- 3.4 Numerical Summaries in Which Location Is an Integral Component -- PART II -- Principles of Cartography -- 4. Data Classification -- 4.1 Common Methods of Data Classification -- 4.2 Using Spatial Context to Simplify Choropleth Maps -- 4.3 Using Multiple Criteria to Determine Class Intervals -- 5. Principles of Symbolization -- 5.1 Nature of Geographic Phenomena -- 5.2 Levels of Measurement -- 5.3 Visual Variables -- 5.4 Comparison of Choropleth, Proportional Symbol, Isopleth, and Dot Mapping -- 5.5 Selecting Visual Variables for Choropleth Maps -- 6. Scale and Generalization -- 6.1 Geographic and Cartographic Scale -- 6.2 Definitions of Generalization -- 6.3 Models of Generalization -- 6.4 The Fundamental Operations of Generalization -- 6.5 An Example of Generalization -- 6.6 MapShaper: A Free Web-Based Generalization Service -- 7. The Earth and Its Coordinate System -- 7.1 Basic Characteristics of the Earth’s Graticule -- 7.2 A Brief History of Latitude and Longitude -- 7.3 Determining the Earth’s Size and Shape -- 8. Elements of Map Projections -- 8.1 The Map Projection Concept -- 8.2 The Reference Globe and Developable Surfaces -- 8.3 The Mathematics of Map Projections -- 8.4 Map Projection Characteristics -- 8.5 Distortion on Map Projections -- 8.6 Projection Properties -- 9. Selecting an Appropriate Map Projection -- 9.1 Potential Selection Guidelines -- 9.2 Examples of Selecting Projections -- 10. Principles of Color -- 10.1 How Color Is Processed by the Human Visual System -- 10.2 Hardware Considerations in Producing Color Maps for Graphics Displays -- 10.3 Models for Specifying Color -- 11. Map Elements and Typography -- 11.1 Alignment and Centering -- 11.2 Map Elements -- 11.3 Typography -- 12. Cartographic Design -- 12.1 Cartographic Design -- 12.2 Case Study: Real Estate Site Suitability Map -- 13. Map Reproduction -- 13.1 Reproduction Versus Dissemination -- 13.2 Planning Ahead -- 13.3 Map Editing -- 13.4 Raster Image Processing for Print Reproduction -- 13.5 Screening for Print Reproduction -- 13.6 Aspects of Color Printing -- 13.7 High-Volume Print Reproduction -- 13.8 Nonprint Reproduction and Dissemination -- PART III -- Mapping Techniques -- 14. Choropleth Mapping -- 14.1 Selecting Appropriate Data -- 14.2 Data Classification -- 14.3 Factors for Selecting a Color Scheme -- 14.4 Details of Color Specification -- 14.5 Legend Design -- 14.6 Classed Versus Unclassed Mapping -- 15. Dasymetric Mapping -- 15.1 Selecting Appropriate Data and Ancillary Information -- 15.2 Eicher and Brewer’s Work -- 15.3 Mennis and Hultgren’s Intelligent Dasymetric Mapping (IDM) -- 15.4 LandScan -- 15.5 Langford and Unwin’s Generalized Dasymetric Approach -- 16. Isarithmic Mapping -- 16.1 Selecting Appropriate Data -- 16.2 Manual Interpolation -- 16.3 Automated Interpolation for True Point Data -- 16.4 Criteria for Selecting an Interpolation Method for True Point Data -- 16.5 Limitations of Automated Interpolation Approaches -- 16.6 Tobler’s Pycnophylactic Approach: An Interpolation Method for Conceptual Point Data -- 16.7 Symbolization -- 17. Proportional Symbol and Dot Mapping -- 17.1 Selecting Appropriate Data For Proportional Symbol Maps -- 17.2 Kinds of Proportional Symbols -- 17.3 Scaling Proportional Symbols -- 17.4 Legend Design for Proportional Symbol Maps -- 17.5 Handling Overlap on Proportional Symbol Maps -- 17.6 Redundant Symbols -- 17.7 Selecting Appropriate Data for Dot Maps -- 17.8 Creating a Dot Map -- 18. Multivariate Mapping -- 18.1 Bivariate Mapping -- 18.2 Multivariate Mapping Involving Three or More Attributes -- 18.3 Cluster Analysis -- 19. Cartograms and Flow Maps -- 19.1 Cartograms -- 19.2 Flow Mapping -- Part IV -- Geovisualization -- 20. Visualizing Terrain -- 20.1 Nature of the Data -- 20.2 Vertical Views -- 20.3 Oblique Views -- 20.4 Physical Models -- 21. Map Animation -- 21.1 Early Developments -- 21.2 Visual Variables and Categories of Animation -- 21.3 Examples of Animations -- 21.4 Using 3-D Space to Display Temporal Data -- 21.5 Does Animation Work? -- 22. Data Exploration -- 22.1 Goals of Data Exploration -- 22.2 Methods of Data Exploration -- 22.3 Examples of Data Exploration Software -- 23. Visualizing Uncertainty -- 23.1 Basic Elements of Uncertainty -- 23.2 General Methods for Depicting Uncertainty -- 23.3 Visual Variables for Depicting Uncertainty -- 23.4 Applications of Visualizing Uncertainty -- 23.5 Studies of the Effectiveness of Methods for Visualizing Uncertainty -- 24. Web Mapping -- 24.1 A Brief History of Web Mapping -- 24.2 Cartographic Web Sites: A Classification -- 24.3 Tying Together the Five Continua -- 25. Virtual Environments -- 25.1 Defining Virtual and Mixed Environments -- 25.2 Technologies for Creating Virtual Environments -- 25.3 The Four “I” Factors of Virtual Environments -- 25.4 Applications of Geospatial Virtual Environments -- 25.5 Research Issues in Geospatial Virtual Environments -- 25.6 Developments in Mixed Environments -- 25.7 Health, Safety, and Social Issues -- 26. Trends in Research and Development -- 26.1 Linked Micromap Plots and Conditioned Choropleth Maps -- 26.2 Using Senses Other Than Vision to Interpret Spatial Patterns -- 26.3 Collaborative Geovisualization -- 26.4 Multimodal Interfaces -- 26.5 Information Visualization and Spatialization -- 26.6 Spatial Data Mining -- 26.7 Visual Analytics -- 26.8 Mobile Mapping and Location-Based Services -- 26.9 Keeping Pace with Recent Developments -- Appendix: Lengths of One Degree Latitude and Longitude -- Glossary -- References -- Index |
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