Some Truth With Maps: A Primer on Symbolization and Design
By Alan M. MacEachren. 2011
99 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geography, Planning and Development, Signal Processing
View Paper: https://www.semanticscholar.org/paper/3e50370e2f290688d0da78feed89941c52c865d8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Daniel R. Montello
- Alan M. MacEachren
- Cynthia A. Brewer
- Gennady L. Andrienko
- Natalia V. Andrienko
- D. Retchless
- Linda Pickle
- H. Schumann
In Geography, Planning and Development
- Gennady L. Andrienko
- Natalia V. Andrienko
- Daniel R. Montello
- H. Schumann
- Christian Tominski
- Cynthia A. Brewer
- D. Retchless
- Linda Pickle
In Signal Processing
- Daniel R. Montello
- Gennady L. Andrienko
- Natalia V. Andrienko
- Cynthia A. Brewer
- D. Retchless
- Linda Pickle
- H. Schumann
- Alan M. MacEachren
Citations in the corpus
- Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know (2005, background): “MacEachren (1992; 1994) addressed related issues in his discussions of the representation of certainty and the quality of the resulting data representation.”
- Cognitive Map-Design Research in the Twentieth Century: Theoretical and Empirical Approaches (2002, methodology): “There is great interest in using these new techniques to depict data quality or “uncertainty” (Buttenfield 1993; Evans 1997; MacEachren 1994), recognized as an important issue at least as long ago as 1942 by Wright.”
- Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series (2002, background): “MacEachren (1994) recommended use of natural breaks or Jenks optimization for choropleth mapping in general, but he noted that these approaches did not consider the need to compare maps.”
- Stacking-Based Visualization of Trajectory Attribute Data (2012, background): “The partitioning can be based on different criteria [32].”
- ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps (2003, unknown): “ColorBrewer is not a data analysis tool and will not tell cartographers how many data classes they should use for a given mapping project (see MacEachren, 1994 and Slocum, 1999 for summaries of a method for objectively calculating a suitable number of classes).”
- Guidance for representing uncertainty on global temperature change maps (2016, background): “Several authors have expanded upon this list, adding saturation (or chroma; Morrison, 1984; MacEachren, 1994), focus (MacEachren, 1992; related to crispness, fill clarity, fog, and contour resolution), transparency (Wilkinson, 2012), and clarity (defined in MacEachren, 2004 to include crispness,…”