Journal ArticleDOI
Comparison of complexity measures for choropleth maps
TLDR
In this article, the authors present a comparison of six map complexity measures (aggregation index, compactness index, boundary contrast index, fragmentation index and size disparity index) using 90 different choropleth maps.Abstract:
The complexity of a choropleth map has an important influence on its readability. Six map complexity measures (aggregation index, compactness index, boundary contrast index, fragmentation index, boundary index, size disparity index) described in literature are presented in this study. Correlation coefficients between these indices are calculated, using 90 different maps. It is shown that most of the measures are highly correlated and therefore redundant.Visual judgement of 13 maps by 28 subjects shows that four indices (aggregation index, compactness index, fragmentation index, boundary index) can serve as reliable indicators of map complexity. As a result, each of these measures can be used to compare pattern complexity among different maps. The fragmentation index seems to be the best choice in view of its simplicity and calculation ease.read more
Citations
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Journal ArticleDOI
Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series
TL;DR: The authors compared seven methods using responses by fifty-six subjects in a two-part experiment involving nine series of U.S. mortality maps and found that matched legends across a series of maps (when possible) increased map-comparison accuracy by approximately 28 percent.
Landscape indices as measures of the effects of fragmentation: can pattern reflect process?
TL;DR: In this paper, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in 3.5.5 GHz frequency bands, respectively.
Journal ArticleDOI
Developing local measures of spatial association for categorical data
TL;DR: A procedure for extending local statistics to categorical spatial data using a small, empirical data set and an ad hoc procedure is developed to deal with the impact of global spatial autocorrelation on the local statistics.
Journal ArticleDOI
Measuring map complexity
TL;DR: An assessment of the potential for quantifying map complexity and the nature of digital data compression determined that a data-compression ratio can act as a simple and effective complexity measure.
Journal ArticleDOI
Exploring physical wetland vulnerability of Atreyee river basin in India and Bangladesh using logistic regression and fuzzy logic approaches
Tamal Kanti Saha,Swades Pal +1 more
TL;DR: In this paper, the authors explored the nature of the physical vulnerability of wetland using logistic regression (LR) and fuzzy logic (FL) approaches for both pre and post-dam periods.
References
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Journal ArticleDOI
The selection of class intervals
TL;DR: In this paper, it is suggested that class intervals should not be optimized in relation to details of the statistical frequency distribution, but should be selected according to the overall shape of this distribution.
Journal ArticleDOI
Choropleth Maps Without Class Intervals
TL;DR: In this article, an automatic line plotter can be programmed to draw lines virtually any distance apart (Fig. 1), thus one can obtain any desired density of inked area to white area.
Journal ArticleDOI
Measures of Pattern Complexity for Choroplethic Maps
TL;DR: The results suggest that there may be at least three dimensions of pattern complexity relevant to choroplethic maps: pattern fragmentation and autocorrelation, Size inequality of map regions, and the ge...
Book
Principles of thematic map design
TL;DR: In this article, the authors present an approach to the study of modern thematic map design with an emphasis on the principles of design and a thorough system of references for an undergraduate one-, or perhaps two-, semester course.
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