1. Midterm project UP 206A – Kawano February 7, 2011 Ben Palmquist

2. What is gentrification? New residents replace old residents in a disinvested inner-city neighborhood Source: Peter Marcuse, “Gentrification, Abandonment and Displacement: Connections, Causes and Policy Responses in New York City.” 28 Wash. U. J. Urb. & Contemp. L. 195 (1985). (disproportionately young, white, professional, well educated and higher income) (disproportionately low income, people of color, and the elderly)

3. Skills: inset map, geoprocessing (clip layers to coastline) Produced by: Ben Palmquist Data sources: 2000 U.S. Census, 2005-2009 American Community Survey Indicators: income, race/ethnicity

4. Produced by: Ben Palmquist Skills: boundary subset selection (target layer features have their centroid in the source layer feature)

5. Produced by: Ben Palmquist Skills: boundary subset selection (target layer features have their centroid in the source layer feature)

6. Skills: boundary subset selection (target layer features have their centroid in the source layer feature) Produced by: Ben Palmquist

7. % change in household income, 1999 - 2009 HH Income % Change: Quintiles 39% - 64% 5% - 22% 22%39% 64% - 688% -98% - 5% Eastside Neighborhoods Produced by: Ben Palmquist Skills: graduate symbols, indices ( [medHHincome09 – medHHincome99] / medHHincome99)

8. 1999 Skills: aggregating attributes (Native Hawaiian/Pacific Islander + Native American/Alaska Native + Multiracial + Other  “Other”), geoprocessing (dissolve) 2009 Produced by: Ben Palmquist

9. Skills: indices (net_arrivals = 2009_population – 1999_population; net_departures = (-1) * net_arrivals) Net arrivals Net departures 1999 - 2009 Produced by: Ben Palmquist

10. Net arrivals Net departures 1999 - 2009 Produced by: Ben Palmquist

11. Skills used Inset map (LA County) Graduated symbols (income) Aggregating attributes (NHPI, NAAN, Other, Multiracial  Other) Indices (% change in household income, net arrivals & departures) Boundary sub-sets selections (target layer features [census tracts] have their centroid in the source layer feature [Eastside neighborhood councils]) Geoprocessing (clipping layers to the coastline, dissolving tracts together)

12. Widen the scope Evaluate educational attainment, mobility and other indicators Select census tracts by attribute to track both gentrification and displacement Does gentrification cause displacement? Do high rates of mobility, low homeownership rates or other factors correlate with gentrification? Net departures Produced by: Ben Palmquist