Thematic Cartography and Geovisualization

Höfundar: Terry Slocum; Robert B McMaster; Fritz Kessler; Hugh Howard (Útgáfa: 5)
Thematic Cartography and Geovisualization

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The fifth edition of this comprehensive and well-established book in cartography has been thoroughly updated and extensively restructured to incorporate new developments in recent years. It reflects advancements in technology, societal changes, and evolving methodologies in the field of cartography. With the inclusion of entirely new chapters, restructured content, and expanded discussions, the book provides a modern perspective on cartographic practices.

It emphasizes the integration of Artificial Intelligence, the democratization of mapping through web-based tools, and innovative approaches to visualizing spatiotemporal data. Additionally, it addresses historical paradigms, geovisual analytics, and the adaptation of map elements and typography for mobile and web platforms, ensuring relevance in today's digital age. Some Key Features of the Fifth Edition Artificial Intelligence in Cartography: A new chapter explores AI's 75-year history, deep learning, cartographic applications, and ethical implications.

Maps, Mapping, and Society: A new chapter highlights the democratization of mapmaking through web-based tools, empowering the general public. History of Thematic Mapping: Restructured to cover American cartographic paradigms, including analytical, design and production, education, statistical mapping, and symbolization. Visualizing Spatiotemporal Data: Formerly "Animation," this chapter now includes alternatives such as change maps, small multiples, and space-time cubes.

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Útgefandi
Taylor & Francis
ISBN
9781040672372
Print ISBN
9781041033752
Format
ePub
Útgáfa
5
Höfundar
Terry Slocum; Robert B McMaster; Fritz Kessler; Hugh Howard
Tungumál
English
Útgefið
2026-08-11
Prent takmörkun á líftíma
100
Prent takmörkun
2
Afritunar takmörkun
2

Kaflar

  • Cover Page
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Dedication
  • Contents
  • Preface
  • About the Authors
  • Acknowledgments
  • Chapter 1 Introduction
  • 1.1 Overview
  • 1.2 Learning Objectives
  • 1.3 What Is a Thematic Map?
  • 1.4 How Are Thematic Maps Used?
  • 1.5 Basic Steps for Communicating Map Information
  • 1.6 Technological Change in Cartography and Its Consequences
  • 1.7 What Is Geovisualization?
  • 1.8 Cognitive Issues in Cartography
  • 1.9 Methods for Evaluating the Usability of Thematic Maps
  • 1.9.1 User Studies
  • 1.9.2 User-Centered Design
  • 1.10 Summary
  • 1.11 Study Questions
  • References
  • Part I Principles of Cartography
  • Chapter 2 History of Thematic Cartography
  • 2.1 Introduction
  • 2.2 Learning Objectives
  • 2.3 A Brief History of Cartography
  • 2.4 History of Thematic Cartography
  • 2.5 The Pioneers of United States Academic Thematic Cartography
  • 2.6 The Post-War Era and the Building of Core Academic Research Programs
  • 2.7 European Thematic Cartography
  • 2.8 Summary
  • 2.9 Study Questions
  • References
  • Chapter 3 Maps, Mapping, and Society
  • 3.1 Introduction
  • 3.2 Learning Objectives
  • 3.3 Early Debates on GIS, Maps, and Society
  • 3.4 The Multiple Perspectives on GIS, Maps, and Society
  • 3.5 Public Participatory Cartography
  • 3.6 Public Neighborhood Inventories
  • 3.7 Summary
  • 3.8 Study Questions
  • References
  • Chapter 4 Principles of Symbolization
  • 4.1 Introduction
  • 4.2 Learning Objectives
  • 4.3 Nature of Geographic Phenomena
  • 4.4 Levels of Measurement
  • 4.5 Visual Variables
  • 4.6 Comparison of Four Common Thematic Mapping Techniques
  • 4.7 Selecting Visual Variables for Choropleth Maps
  • 4.8 Using Senses Other Than Vision to Interpret Spatial Patterns
  • 4.9 Summary
  • 4.10 Study Questions
  • References
  • Chapter 5 Data Classification
  • 5.1 Introduction
  • 5.2 Learning Objectives
  • 5.3 Data to Be Classified
  • 5.4 Equal Intervals
  • 5.5 Quantiles
  • 5.6 Mean–Standard Deviation
  • 5.7 Natural Breaks
  • 5.8 Optimal
  • 5.9 Head/Tail Breaks
  • 5.10 Criteria for Selecting a Classification Method
  • 5.11 Considering the Spatial Distribution of the Data
  • 5.12 Exploropleth: Web-Based Software for Exploring Data Classification Methods
  • 5.13 Summary
  • 5.14 Study Questions
  • References
  • Chapter 6 Scale and Generalization
  • 6.1 Introduction
  • 6.2 Learning Objectives
  • 6.3 Geographic and Cartographic Scale
  • 6.4 Definitions of Generalization
  • 6.5 Models of Generalization
  • 6.6 The Fundamental Operations of Generalization
  • 6.7 An Example of Generalization
  • 6.8 New Developments in Cartographic Generalization
  • 6.9 Summary
  • 6.10 Study Questions
  • References
  • Chapter 7 The Earth and Its Coordinate System
  • 7.1 Introduction
  • 7.2 Learning Objectives
  • 7.3 Basic Characteristics of Earth’s Graticule
  • 7.4 Determining Earth’s Size and Shape
  • 7.5 Summary
  • 7.6 Study Questions
  • References
  • Chapter 8 Elements of Map Projections
  • 8.1 Introduction
  • 8.2 Learning Objectives
  • 8.3 The Map Projection Concept
  • 8.4 The Reference Globe and Developable Surfaces
  • 8.5 The Mathematics of Map Projections
  • 8.6 Map Projection Characteristics
  • 8.7 Distortion on Map Projections
  • 8.8 Projection Properties
  • 8.9 Grid Systems
  • 8.10 Summary
  • 8.11 Study Questions
  • References
  • Chapter 9 Selecting an Appropriate Map Projection
  • 9.1 Introduction
  • 9.2 Learning Objectives
  • 9.3 Potential Selection Guidelines
  • 9.4 Examples of Selecting Projections
  • 9.5 Resources for Map Projection Selection
  • 9.6 Summary
  • 9.7 Study Questions
  • References
  • Chapter 10 Principles of Color
  • 10.1 Introduction
  • 10.2 Learning Objectives
  • 10.3 How Color Is Processed by the Human Visual System
  • 10.4 Models for Specifying Color
  • 10.5 Terminology and Principles in the Practical Use of Color
  • 10.6 Summary
  • 10.7 Study Questions
  • References
  • Chapter 11 Map Elements
  • 11.1 Introduction
  • 11.2 Learning Objectives
  • 11.3 Alignment and Centering
  • 11.4 Common Map Elements
  • 11.5 Summary
  • 11.6 Study Questions
  • References
  • Chapter 12 Typography
  • 12.1 Introduction
  • 12.2 Learning Objectives
  • 12.3 What Is Typography?
  • 12.4 General Typographic Guidelines
  • 12.5 Specific Typographic Guidelines
  • 12.6 Automated Type Placement
  • 12.7 Summary
  • 12.8 Study Questions
  • References
  • Chapter 13 Cartographic Design
  • 13.1 Introduction
  • 13.2 Learning Objectives
  • 13.3 Elements of Cartographic Design
  • 13.4 Case Study: Real Estate Site Suitability Map
  • 13.5 Summary
  • 13.6 Study Questions
  • References
  • Part II Mapping Techniques
  • Chapter 14 Choropleth Mapping
  • 14.1 Introduction
  • 14.2 Learning Objectives
  • 14.3 Selecting Appropriate Data
  • 14.4 Factors for Selecting a Color Scheme
  • 14.5 Systems for Specifying Color Schemes
  • 14.6 Classed vs. Unclassed Mapping
  • 14.7 Legend Design
  • 14.8 Illuminated Choropleth Mapping
  • 14.9 Summary
  • 14.10 Study Questions
  • References
  • Chapter 15 Dasymetric Mapping
  • 15.1 Introduction
  • 15.2 Learning Objectives
  • 15.3 Selecting Appropriate Data and Ancillary Information
  • 15.4 Some Basic Approaches for Dasymetric Mapping
  • 15.5 Eicher and Brewer’s Study
  • 15.6 Two Approaches for Producing Dasymetric Maps of Population Density for Sacramento, California
  • 15.7 SocScape: Visualizing Racial Diversity
  • 15.8 Mapping the Global Population Distribution
  • 15.9 Summary
  • 15.10 Study Questions
  • References
  • Chapter 16 Isarithmic Mapping
  • 16.1 Introduction
  • 16.2 Learning Objectives
  • 16.3 Selecting Appropriate Data
  • 16.4 Manual Interpolation
  • 16.5 Automated Interpolation for True Point Data
  • 16.6 Tobler’s Pycnophylactic Interpolation
  • 16.7 Symbolization
  • 16.8 Summary
  • 16.9 Study Questions
  • References
  • Chapter 17 Proportional Symbol Mapping
  • 17.1 Introduction
  • 17.2 Learning Objectives
  • 17.3 Selecting Appropriate Data
  • 17.4 Kinds of Proportional Symbols
  • 17.5 Scaling Proportional Symbols
  • 17.6 Legend Design
  • 17.7 Handling Overlap of Symbols
  • 17.8 Necklace Maps
  • 17.9 Summary
  • 17.10 Study Questions
  • References
  • Chapter 18 Dot Mapping
  • 18.1 Introduction
  • 18.2 Learning Objectives
  • 18.3 Key Issues Involved in Dot Mapping
  • 18.4 Graduated Dot Mapping
  • 18.5 Interactive Dot Mapping on the Web
  • 18.6 Summary
  • 18.7 Study Questions
  • References
  • Chapter 19 Cartograms
  • 19.1 Introduction
  • 19.2 Learning Objectives
  • 19.3 Methods That Attempt to Preserve the Shape of Enumeration Units
  • 19.5 Contrasting Various Cartogram Methods
  • 19.6 Alternative Approaches for Eliminating Shape Distortion in Cartograms
  • 19.7 Summary
  • 19.8 Study Questions
  • References
  • Chapter 20 Flow Mapping
  • 20.1 Introduction
  • 20.2 Learning Objectives
  • 20.3 Basic Types of Flow Maps and Associated Data for Flow Mapping
  • 20.4 Issues in Designing Flow Maps
  • 20.5 Flow Mapping Prior to Automation
  • 20.6 Early Digital Flow Mapping Efforts by Waldo Tobler
  • 20.7 Examples of Recent Digital Flow Mapping
  • 20.8 Geovisual Analytics and Flow Mapping
  • 20.9 Summary
  • 20.10 Study Questions
  • References
  • Chapter 21 Multivariate Mapping
  • 21.1 Introduction
  • 21.2 Learning Objectives
  • 21.3 Bivariate Mapping
  • 21.4 Multivariate Mapping Involving Three or More Attributes
  • 21.5 Cluster Analysis
  • 21.6 Summary
  • 21.7 Study Questions
  • References
  • Part III Geovisualization
  • Chapter 22 Visualizing Terrain
  • 22.1 Introduction
  • 22.2 Learning Objectives
  • 22.3 Nature of the Data
  • 22.4 Vertical Views
  • 22.5 Oblique Views
  • 22.6 Physical Models
  • 22.7 Issues in Creating Shaded Relief
  • 22.8 Summary
  • 22.9 Study Questions
  • References
  • Chapter 23 Visualizing Spatiotemporal Data
  • 23.1 Introduction
  • 23.2 Learning Objectives
  • 23.3 Early Developments in Animation
  • 23.4 Visual Variables for Animation
  • 23.5 Examples of Temporal Animations
  • 23.6 Examples of Nontemporal Animations
  • 23.7 Enhancing the Interactivity in Animations
  • 23.8 Potential Problems in Interpreting Map Animations
  • 23.9 Alternatives to Animation
  • 23.10 Guidelines for Designing Your Own Animations
  • 23.11 Summary
  • 23.12 Study Questions
  • References
  • Chapter 24 Data Exploration
  • 24.1 Introduction
  • 24.2 Learning Objectives
  • 24.3 Goals of Data Exploration
  • 24.4 Interactive Operators for Data Exploration
  • 24.5 Examples of Data Exploration
  • 24.6 Summary
  • 24.7 Study Questions
  • References
  • Chapter 25 Geovisual Analytics
  • 25.1 Introduction
  • 25.2 Learning Objectives
  • 25.3 Characteristics and Limitations of Big Data
  • 25.4 What is Geovisual Analytics?
  • 25.5 The Self-Organizing Map (SOM)
  • 25.6 Examples of Geovisual Analytics
  • 25.7 Resources for Developing and Evaluating Dashboards
  • 25.8 Summary
  • 25.9 Study Questions
  • References
  • Chapter 26 Visualizing Uncertainty
  • 26.1 Introduction
  • 26.2 Learning Objectives
  • 26.3 Basic Elements of Uncertainty
  • 26.4 General Methods for Depicting Uncertainty
  • 26.5 Visual Variables for Depicting Uncertainty
  • 26.6 Applications of Visualizing Uncertainty
  • 26.7 Using Sound to Represent Data Uncertainty
  • 26.8 Summary
  • 26.9 Study Questions
  • References
  • Chapter 27 Virtual Environments, Augmented Reality, and Mixed Reality
  • 27.1 Introduction
  • 27.2 Learning Objectives
  • 27.3 Defining VEs, AR, and MR
  • 27.4 Technologies for Creating VEs
  • 27.5 Technologies for Creating AR and MR
  • 27.6 The Four “I” Factors
  • 27.7 Some Key Questions Regarding VEs
  • 27.8 Some Recent Examples of AR/MR
  • 27.9 Health, Safety, and Social Issues
  • 27.10 Summary
  • 27.11 Study Questions
  • References
  • Chapter 28 Artificial Intelligence
  • 28.1 Introduction
  • 28.2 Learning Objectives
  • 28.3 A Historical Perspective on the Development of AI
  • 28.4 Deep Learning and Other Machine Learning Methods
  • 28.5 Some Applications of GeoAI in Cartography
  • 28.6 Ethical Issues
  • 28.7 Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI)
  • 28.8 Summary
  • 28.9 Study Questions
  • References
  • Glossary
  • Index