A comparative study of thematic mapping and scientific visualization

Thematic mapping and scientific visualization are two dedicated areas for visualizing a wide range of domain-specific data sets. From a general perspective, thematic mapping and scientific visualization reveal large overlaps in terms of visualization methods. However, these two disciplines are shaped by different driving forces and usage purposes. Accordingly, the concerns involved in the thematic mapping workflow that ranges from data source, data processing to map design principles may be quite different from those for scientific visualization and vice versa. Although some interdisciplinary researches between general mapping and scientific visualization have been conducted, little knowledge about the differences and commonalities between thematic mapping and scientific visualization is available. This research work is devoted to an in-depth comparative study with the aim to bridge these two disciplines by identifying their methodological strengths and synergetic effects. Comparison results show that thematic mapping goes steps further than scientific visualization in terms of data preprocessing, while scientific visualization relies more on the capability of users to visually process the data by themselves. We believe that scientific visualization can very well profit from thematic mapping methods to achieve some communication effects while thematic mapping can be very well extended to embrace some scientific visualization methods for the hotspot explorations.

[1]  F. V. D. Wel GEOGRAPHICAL INFORMATION SYSTEMS , 2011 .

[2]  A. MacEachren,et al.  Research Challenges in Geovisualization , 2001, KN - Journal of Cartography and Geographic Information.

[3]  Ratios and Isopleth Maps in Regional Investigation of Agricultural Land Occupance , 1930 .

[4]  Jeffrey S. Torguson,et al.  Cartography , 2019, Dictionary of Geotourism.

[5]  Georges G. Grinstein,et al.  Iconographic Displays For Visualizing Multidimensional Data , 1988, Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics.

[6]  John Ashford Exploring Geographic Information Systems, 2nd ed , 2002, J. Documentation.

[7]  N. Chrisman Exploring Geographic Information Systems , 1997 .

[8]  Kirk Goldsberry,et al.  Issues of Change Detection in Animated Choropleth Maps , 2009, Cartogr. Int. J. Geogr. Inf. Geovisualization.

[9]  Alan M. MacEachren ACCURACY OF THEMATIC MAPS / IMPLICATIONS OF CHOROPLETH SYMBOLIZATION , 1985 .

[10]  Gennady L. Andrienko,et al.  Interactive visual tools to explore spatio-temporal variation , 2004, AVI.

[11]  Peter A. Rogerson,et al.  GIS and Spatial Analytical Problems , 1993, Int. J. Geogr. Inf. Sci..

[12]  Sara Irina Fabrikant,et al.  Spatialization Methods: A Cartographic Research Agenda for Non-geographic Information Visualization , 2003 .

[13]  Chaomei Chen,et al.  Top 10 Unsolved Information Visualization Problems , 2005, IEEE Computer Graphics and Applications.

[14]  Mark Gahegan,et al.  GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization , 2002 .

[15]  Cynthia A. Brewer Cartography: thematic map design, 3rd edition , 1994 .

[16]  Chaoli Wang,et al.  Information Theory in Scientific Visualization , 2011, Entropy.

[17]  I. Evans The selection of class intervals , 1977 .

[18]  Jock D. Mackinlay,et al.  The perspective wall: detail and context smoothly integrated , 1991, CHI.

[19]  Chaomei Chen,et al.  Information Visualization: Beyond the Horizon , 2006 .

[20]  George F. Jenks,et al.  THE USE OF SHADING PATTERNS IN GRADED SERIES1 , 1961 .

[21]  Mei-Ling Hsu,et al.  The fidelity of isopleth maps : an experimental study , 1970 .

[22]  W. Hays Semiology of Graphics: Diagrams Networks Maps. , 1985 .

[23]  Sara Irina Fabrikant,et al.  Cognitively Plausible Information Visualization , 2005 .

[24]  A. Skupin SPATIAL METAPHORS FOR VISUALIZING INFORMATION SPACES , 1997 .

[25]  Alan M. MacEachren,et al.  Exploratory cartographic visualization: advancing the agenda , 1997 .

[26]  Calvin F. Schmid,et al.  Basic Problems, Techniques, and Theory of Isopleth Mapping* , 1955 .

[27]  Michael W. Dobson,et al.  Choropleth Maps Without Class Intervals?: A Comment , 2010 .

[28]  C. Fish Change detection in animated choropleth maps , 2010 .

[29]  Liqiu Meng Cartography and Maps beyond Disciplines , 2013, KN - Journal of Cartography and Geographic Information.

[30]  Eric S. Fowler,et al.  Exploring Geographic Information Systems , 1997 .

[31]  Jeffrey Heer,et al.  imMens: Real‐time Visual Querying of Big Data , 2013, Comput. Graph. Forum.

[32]  Charles Hansen,et al.  The Visualization Handbook , 2011 .

[33]  Mark Harrower,et al.  Tips for Designing Effective Animated Maps , 2003 .