My map shows that McDonald’s seemed to concentrate in those areas that have a lower household income, which also corresponds to each areas proximity to the freeway. On my map, I pinpointed 9 locations of interest that show an interesting overlap and a moment of interpretation. For example, point 4 on the map falls at an intersection of two freeways, is near a white zone of household income (which signifies an area with a median household income of less than $14,700), and contains at least 3 McDonald’s in its 5 mile radius. These overlaps fascinate me, especially regarding the location of the 405 in accordance to these areas of varying household incomes. For me, my map reveals how the 405 implies an overall effect to its surrounding areas, even when drivers like me don’t spend much time in those areas except as passing commuters or as prisoners stuck in traffic.

However, regarding the actual spatialization of data like traffic, median household income, and McDonald’s locations, these maps don’t necessarily show the emotion, or as Johanna Drucker coins, the capta, regarding those interpretable points. It may be easy to measure where cars slow down on the 405, but after reading Drucker’s article, I keep am asking myself the same questions: How would one show the feeling of being stuck in traffic? What about showing one’s perception of time on the freeway? How would one map the feelings of hunger, then interpret the intensity of those emotions in relation to location and the varying household incomes? And, most importantly, how could you show these capta in a multi-faceted, transformative, and impactful way to the viewer? As Drucker exposits, “Plans change, travel times are altered, arrivals and departures re-arranged, moods shift, frustrations intensify, disappointments or unexpected surprises arise in relation to the sequence of events. An email recounting something that occurred “yesterday” in relation to a date stamp might also contain more vaguely identified “earlier” and “before” statements that put events into a relative sequence without explicitly identifying when these occurred. As the telling unfolds, these relations may change in the writer’s expression and perception, so that the textual description of a recollected event continues to shift its place in the temporal order” (Drucker 45). While I do feel that the live feature of the Arc-GIS map, as well as its interactive and malleable online format, are able to compensate with these shifting capta, I feel that to graph them with a fluid and dynamic spatialization would leave the viewer with a larger impact and interpretative understanding of the area.