TL;DR: This work has developed software that will permit users to both design a map and explore the underlying database of the interactive choropleth mapping system.
Abstract: Software for interactive choropleth mapping typically focuses on design, with the assumption that the resulting map will be used like a traditional paper one. We believe that interactive graphics also should enable users to explore the database underlying a map. In this vein, we have developed software that will permit users to both design a map and explore the underlying database. The exploration component, the raison d'etre for the software, includes the following options: Overview, Areas, Reclass, Regions, Tables, and Graphs & Stats. Within Overview, users can display map elements in sequence, any combination of classes, and highlighted subsets of the data. Within Areas, users can determine values associated with areas, compare values for two areas, and determine minimum and maximum values for classes and the entire map. Reclass allows users to reclassify the map data temporarily, thus determining the effect of different classification schemes. The Regions option permits regions to comprise sp...
TL;DR: An open-source software toolkit, called ChoroWare, is designed to help cartographers identify class intervals that are suitable for a specific application and uses an interactive visualization tool to display members of this classification set.
Abstract: Choropleth mapping plays an important role in exploratory spatial data analysis. Several objectives have been suggested to guide choropleth map construction. These objectives, however, often conflict and, consequently, a choropleth map that is best for one objective may not be best for others. Choosing a set of choropleth class intervals is thus a multiobjective problem. This article describes an open-source software toolkit, called ChoroWare that is designed to help cartographers identify class intervals that are suitable for a specific application. The software uses a genetic algorithm to generate a set of nondominated solutions to the multiobjective choropleth class interval problem and uses an interactive visualization tool to display members of this classification set. Using ChoroWare, cartographers can examine trade-offs between alternatives and find desirable choropleth classifications that meet their objectives.
TL;DR: The tmap package is presented, a set of Stata programs designed to draw five kinds of thematic maps: choropleth, proportional symbol, deviation, dot, and label maps, intended to depict area data.
Abstract: Thematic maps illustrate the spatial distribution of one or more variables of interest within a given geographic unit. In a sense, a thematic map is the spatial analyst's equivalent to the scatterp...
TL;DR: The unclassed choropleth maps are more accurate with regard to quantization error and appear to be of superior visual quality.
Abstract: In recent years a number of researchers have shown a strong interest in statistical graphics. One widely used graphical method is the “statistical map,” or what is better known in cartography as the choropleth map. A factor in the use of these maps has been the need to group data into classes, raising the obvious question of defining optimum class intervals. Computer technology now makes it possible to produce unclassed choropleth maps, minimizing quantization error. An example of the two methods is given using criminal justice statistics. The unclassed maps are more accurate with regard to quantization error and appear to be of superior visual quality
TL;DR: In this article, a graphical user interface, called "Histogram Interface", is implemented as countermeasure for problems in designing choropleth maps, which can assist map designers in representing their ideas and achieving the desired maps through the designing process.
Abstract: Problem analysis in designing thematic maps and user interfaces which assist map designers in incorporating their ideas into maps are presented.
Problems in designing choropleth maps are analyzed from the map designers point of view. A graphical user interface, called "Histogram Interface", is implemented as countermeasure for problems in designing choropleth maps. The user interface can assist map designers in representing their ideas and achieving the desired maps through the designing process. The user interface operations, which correspond to the map designer's ideas, are explained. The user interface effectiveness is confirmed by resulting map examples and the corresponding graphical patterns on the interface.
A concept is proposed concerning the importance in any computer graphics field, which the designers should consider in determining how to incorporate their ideas into pictures.