Tyler Amos

[rickecon]

• Nice visuals.
• Really cool models.
• I was not clear on your first result how fitting a kernel density estimator of space tells you how they relate to others.

[tamos]

Thanks Rick.

My first result compares the probability of exposure to a specific type of neighbourhood disorder (as measured by my 2 indices of neighbourhood disorder) for an individual's neighbourhood (e.g., Hyde Park) and an individual's activity space - the autocorrelated kernel density estimator. If we measured the expected exposure to certain environmental stimuli using neighbourhood boundaries we could get substantially different results from if we used a measure of activity space informed by individual movement patterns.