Jenny G. Reading 1.1

Jenny G. Reading 1.1

Data Dimensions

The article is a warning to those attempting to acquire, visualize, and relay data about urban life.

In comparison to spatially situated data about environmental phenomena (i.e. rainfall at xy coordinate), data associated with human interaction with our environment and other humans is dynamic and contains social, historical, and cultural context. These contexts should have an influence on the filtering of relevant data. If the intention of a researcher is to illuminate certain dynamics between groups of people or to evaluate relationships between people and their environment, the data collection, analysis, and visualization processes should reference the social and cultural context of those humans and their environment. Otherwise, the conclusions drawn from the research process may have little relevance to the behaviors of urban life in the context in which the data was collected. What contexts are important to keep in mind for Eugene and how can we maximize the impact of our final design by communicating the data we have collected in a relevant way?

Atmosphere InFormed

In previous environmental survey work I’ve done, the experience level of the surveyors is accounted for in the experimental design. I wonder how the experience level of the students impacted the course of their design process and their final design when collecting data on-site in Barcelona.

I am curious about the Ladybug plugin for Rhino. I would like to learn how Ladybug works.