Cartography and Visualization

The Cartography & Visualization section encapsulates competencies related to the design and use of maps and mapping technology. This section covers core topics of reference and thematic maps design, as well as the emerging topics of interaction design, web map design, and mobile map design. This section also covers historical and contemporary influences on cartography and evolving data and critical considerations for map design and use.  

Topics in this Knowledge Area are listed thematically below. Existing topics are in regular font and linked directly to their original entries (published in 2006; these contain only Learning Objectives). Entries that have been updated and expanded are in bold. Forthcoming, future topics are italicized. 

History & Trends:  Map Design Techniques:  Interactive Design Techniques: 
Cartography & Science Common Thematic Maps User Interface and User Experience (UI/UX) Design
Cartography & Technology Bivariate & Multivariate Maps Web Mapping
Cartography & Power Spatio-Temporal Representation Virtual & Immersive Environments
Cartography & Education Representing Uncertainty Big Data Visualization
Cartography & Art Terrain Representation Mobile Maps & Responsive Design
Data Considerations: Cartograms Usability Engineering & Evaluation
Vector Formats & Sources Icon Design Basemaps
Raster Formats & Sources Narrative & Storytelling Geovisualization
Metadata, Quality, & Uncertainty Flow Maps Geocollaboration
Map Design Fundamentals:  Map Use:  Geovisual Analytics
Scale & Generalization Map Reading  
Statistical Mapping Map Interpretation  
Map Projections Map Analysis  
Visual Hierarchy & Layout Political Economy of Mapping  
Symbolization & the Visual Variables Map Critique  
Color Theory    
Typography    
Aesthetics & Design    
Map Production and Management    

 

CV-17 - Spatiotemporal Representation

Space and time are integral components of geographic information. There are many ways in which to conceptualize space and time in the geographic realm that stem from time geography research in the 1960s. Cartographers and geovisualization experts alike have grappled with how to represent spatiotemporal data visually. Four broad types of mapping techniques allow for a variety of representations of spatiotemporal data: (1) single static maps, (2) multiple static maps, (3) single dynamic maps, and (4) multiple dynamic maps. The advantages and limitations of these static and dynamic methods are discussed in this entry. For cartographers, identifying the audience and purpose, medium, available data, and available time to design the map are vital aspects to deciding between the different spatiotemporal mapping techniques. However, each of these different mapping techniques offers its own advantages and disadvantages to the cartographer and the map reader. This entry focuses on the mapping of time and spatiotemporal data, the types of time, current methods of mapping, and the advantages and limitations of representing spatiotemporal data.

CV-05 - Statistical Mapping (Enumeration, Normalization, Classification, Dasymetric)
  • Discuss advantages and disadvantages of various data classification methods for choropleth mapping, including equal interval, quantiles, mean-standard deviation, natural breaks, and “optimal” methods
  • Demonstrate how different classification schemes produce very different maps from a single set of interval- or ratio-level data
  • Write algorithms to perform equal interval, quantiles, mean-standard deviation, natural breaks, and “optimal” classification for choropleth mapping
CV-08 - Symbolization and the Visual Variables

Maps communicate information about the world by using symbols to represent specific ideas or concepts. The relationship between a map symbol and the information that symbol represents must be clear and easily interpreted. The symbol design process requires first an understanding of the underlying nature of the data to be mapped (e.g., its spatial dimensions and level of measurement), then the selection of symbols that suggest those data attributes. Cartographers developed the visual variable system, a graphic vocabulary, to express these relationships on maps. Map readers respond to the visual variable system in predictable ways, enabling mapmakers to design map symbols for most types of information with a high degree of reliability.

CV-14 - Terrain Representation

Terrain representation is the manner by which elevation data are visualized. Data are typically stored as 2.5D grid representations, including digital elevation models (DEMs) in raster format and triangulated irregular networks (TINs). These models facilitate terrain representations such as contours, shaded relief, spot heights, and hypsometric tints, as well as automate calculations of surface derivatives such as slope, aspect, and curvature. 3D effects have viewing directions perpendicular (plan), parallel (profile), or panoramic (oblique view) to the elevation’s vertical datum plane. Recent research has focused on automating, stylizing, and enhancing terrain representations. From the user’s perspective, representations of elevation are measurable or provide a 3D visual effect, with much overlap between the two. The ones a user can measure or derive include contours, hypsometric tinting, slope, aspect, and curvature. Other representations focus on 3D effect and may include aesthetic considerations, such as hachures, relief shading, physiographic maps, block diagrams, rock drawings, and scree patterns. Relief shading creates the 3D effect using the surface normal and illumination vectors with the Lambertian assumption. Non-plan profile or panoramic views are often enhanced by vertical exaggeration. Cartographers combine techniques to mimic or create mapping styles, such as the Swiss-style.

CV-10 - Typography

The selection of appropriate type on maps, far from an arbitrary design decision, is an integral part of establishing the content and tone of the map. Typefaces have personalities, which contribute to the rhetorical message of the map. It is important to understand how to assess typefaces for their personalities, but also to understand which typefaces may be more or less legible in a labeling context. Beyond the choice of typeface, effective map labels will have a visual hierarchy and allow the user to easily associate labels to their features and feature types. The cartographer must understand and modify typographic visual variables to support both the hierarchy and label-feature associations.

CV-38 - Usability Engineering & Evaluation

In this entry, we introduce tenets of usability engineering (UE) and user-centered design (UCD), interrelated approaches to ensuring that a map or visualization works for the target use. After a general introduction to these concepts and processes, we then discuss treatment of UE and UCD in research on cartography and geographic visualization. Finally, we present a classification of UE evaluation methods, including a general overview of each category of method and their application to cartographic user research.  

CV-13 - User Interface and User Experience (UI/UX) Design

Advances in personal computing and information technologies have fundamentally transformed how maps are produced and consumed, as many maps today are highly interactive and delivered online or through mobile devices. Accordingly, we need to consider interaction as a fundamental complement to representation in cartography and visualization. UI (user interface) / UX (user experience) describes a set of concepts, guidelines, and workflows for critically thinking about the design and use of an interactive product, map or otherwise. This entry introduces core concepts from UI/UX design important to cartography and visualization, focusing on issues related to visual design. First, a fundamental distinction is made between the use of an interface as a tool and the broader experience of an interaction, a distinction that separates UI design and UX design. Norman’s stages of interaction framework then is summarized as a guiding model for understanding the user experience with interactive maps, noting how different UX design solutions can be applied to breakdowns at different stages of the interaction. Finally, three dimensions of UI design are described: the fundamental interaction operators that form the basic building blocks of an interface, interface styles that implement these operator primitives, and recommendations for visual design of an interface.

CV-24 - User-Centered Design and Evaluation
  • Describe the baseline expectations that a particular map makes of its audience
  • Compare and contrast the interpretive dangers (e.g., ecological fallacy, Modifiable Areal Unit Problem) that are inherent to different types of maps or visualizations and their underlying geographic data
  • Identify several uses for which a particular map is or is not effective
  • Identify the particular design choices that make a map more or less effective
  • Evaluate the effectiveness of a map for its audience and purpose
  • Design a testing protocol to evaluate the usability of a simple graphical user interface
  • Perform a rigorous sampled field check of the accuracy of a map
  • Discuss the use limitations of the USGS map accuracy standards for a range of projects demanding different levels of precision (e.g., driving directions vs. excavation planning)
CV-03 - Vector Formats and Sources
  • List the data required to explore a specified problem
  • Discuss the extent, classification, and currency of government data sources and their influence on mapping
  • List the data required to compile a map that conveys a specified message
  • Discuss the issue of conflation of data from different sources or for different uses as it relates to mapping
  • Describe a situation in which it would be acceptable to use smaller-scale data sources for compilation to compile a larger scale map
  • Describe the copyright issues involved in various cartographic source materials
  • Explain how data acquired from primary sources, such as satellite imagery and GPS, differ from data compiled from maps, such as DLGs
  • Explain how digital data compiled from map sources influences how subsidiary maps are compiled and used
  • Explain how geographic names databases (i.e., gazetteer) are used for mapping
  • Explain how the inherent properties of digital data, such as Digital Elevation Models, influence how maps can be compiled from them
  • Identify the types of attributes that will be required to map a particular distribution for selected geographic features
  • Determine the standard scale of compilation of government data sources
  • Assess the data quality of a source dataset for appropriateness for a given mapping task, including an evaluation of the data resolution, extent, currency or date of compilation, and level of generalization in the attribute classification
  • Compile a map using at least three data sources
CV-16 - Virtual and immersive environments
  • Discuss the nature and use of virtual environments, such as Google Earth
  • Explain how various data formats and software and hardware environments support immersive visualization
  • Compare and contrast the relative advantages of different immersive display systems used for cartographic visualization (e.g., CAVEs, GeoWalls)
  • Evaluate the extent to which a GeoWall or CAVE does or does not enhance understanding of spatial data
  • Explain how the virtual and immersive environments become increasingly more complex as we move from the relatively non-immersive VRML desktop environment to a stereoscopic display (e.g., a GeoWall) to a more fully immersive CAVE

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