Data Classification Deliverable 2

Natural Breaks classification was my method of choice. Although the Quantile method had its strong points I liked the natural breaks map for its grouping of like values in the data. By considering the distribution I think the results are better suited to show the pattern in the data. This may not have been the case if the data were not expressed as a percentage.

Data Classification Deliverable 1

This exercise to display and compare four methods of classifying the data was very interesting. The standard deviation method was the most challenging. I used a gray scale color ramp to compare the four maps without the distraction of color, and the winner is....

For my “Good Map” I have a map from SERTIS-CNES-INTERNATIONAL CHARTER to illustrate the clear communication of data in a humanitarian crisis. The response maps were compiled within hours of the Haiti earthquake on January 12th, 2010. I can imagine the value of these maps in the first days after the quake as invaluable in assessing and communicating the damage and need in a time sensitive situation. This and many other thematic maps of the earthquake zone were produced quickly by SERTIS-CNES without sacrificing sound cartographic design. The Tufteian principles and John Krygier’s commandments are represented well in this concise map. Although there are almost no labels, the explanatory text, legend, and key map make for easy interpretation.

Bad Map

Here is a map that is hard to look at. Although one can glean the intended information with a bit of study and squinting, the message is lost in the details. Background and the major theme, rivers are so close in color as to be almost indistinguishable. The choice of blue, green and yellow stippling for the entire state tells us nothing of Idaho and its fascinating terrain that supports the rivers. The text is dominant when it should be secondary and redundant with overprint leaders were it should be the primary focus. The rivers are blue I will give you that.