Residential Instability and Social Network Change

Last week, I explored the association between Social Network change from 2006 to 2010 as measured by the Boston Neighborhood survey and the constructed score of neighborhood residential disruption during the period of the housing crash (2007-2010).  Social Network change was significantly associated suggested significance with residential instability during the period, even after controlling for … More Residential Instability and Social Network Change

Are industrial zones and health care zones correlated?

Going into this week’s assignment, I was excited: finally, we can do some calculations with real numbers (not just factor data!) that will provide further insight to both formulate new questions and begin developing hypotheses! I initially began by running correlations on my aggregations from previous assignments. I had aggregated ten distinct latent variables (as … More Are industrial zones and health care zones correlated?

Checking the relationship between the variables ,and the main index score

  While looking at my latent construct, I wanted to establish the correlation between the various manifest variables, and their relative effect on the total index score. The R value of such a correlation would easily provide me a measure of the strength of the relationship. The correlation coefficients for three variables that measured the … More Checking the relationship between the variables ,and the main index score

Predicting a building’s value bracket by its location

This week, I would like to compare the spatial distribution of building value in Boston against the classical concentric zone model developed in the University of Chicago in the ’20s. The concentric zone model explains the demand (and hence, value) of land as a function of its closeness to the city’s center, or central business … More Predicting a building’s value bracket by its location

Relations between Replaced Structures and Neighborhood Indicators

For this week’s assignment, I am interested in looking at some of the relationships between the replaced structures variable I created from the building permits data. I am particularly interested in the relationship with some of the ACS data added to the dataset and some of the Ecometrics data. To evaluate this, I began my … More Relations between Replaced Structures and Neighborhood Indicators

Checking correlations and regressions for child care

I created a ChildCare aggregation that is Daycare, AftSchool, School and Camps merged by census tract ID. Then I merged ChildCare with the Census Tract CSV by census tract ID to create ChildCare_tracts. I then ran a correlation of proportion of children under 18, proportion occupied, homeownership, median income, and Daycare, AftSchool, School and Camps. … More Checking correlations and regressions for child care

Huh. (Or, the Moment I Realized My Project Is the Opposite of My Data Set)

Boston has a lot of open spaces that are well used – tourists flock to the Public Garden, the Esplanade is packed in summer, West Roxbury’s Millennium Park is thronged with dog-walkers and soccer-playing children and their families from spring through fall, the basketball courts of the South End have pickup games morning and night, … More Huh. (Or, the Moment I Realized My Project Is the Opposite of My Data Set)

Parcel Value Change – No Ethnic Correlation

I did not find a statistically significant correlation to change in owner occupied parcel values to ethnic background in Boston. I started by running a correlation with the percentage of owner occupied parcel value change aggregated by census tract with median income, proportion white, proportion Hispanic, proportion black, proportion Asian, and proportion immigrant. While that … More Parcel Value Change – No Ethnic Correlation

Comparing value change to other variables of interest

This week, I looked at the correlation between the measure I created for last week’s midterm, the percentage of parcels in each tract experiencing a greater than ten percent increase in value, and various other demographic variables and ecometrics. First, read in ecometric, census, and longitudinal tax assessor’s data: # Read in data filename <- … More Comparing value change to other variables of interest