matei@usc.edu mapping comfort in los angeles sorin matei project goals project description research...

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matei@usc.edu

Mapping Comfort in Los AngelesMapping Comfort in Los Angeles

Sorin MATEI

Project Goals

Project Description

Research Design

Map Aggregation

Types of Maps

Spatial Modeling

Future Plans

Related Documents

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Mapping Component GoalsMapping Component Goals

To map comfort and connectedness in Los Angeles

To digitize and rasterize hand drawn maps of Los Angeles

Statistical analysis of communication factors contributing to sense of comfort in Los Angeles

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Multi-Method Research DesignMulti-Method Research Design

Data collected for the METAMORPHOSIS project

Forty-Minute Telephone Interview (N = 250 households per area, 1488 completed)

Focus Groups (9 completed) Community Organization Interviews Community Leader Interviews

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Telephone InterviewsTelephone Interviews

Major Variables Include:– Cohesion and Integration – Low and High-Tech Modes of

Communication– Travel and Inter-Area Contact Patterns– Subjective and Objective Sense of

Belonging– Regional Community Connections– Community Capital

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Map collectionMap collection

58 people from 4 areas colored in during focus groups black and white maps of LA:– Crenshaw, Westside, South Pasadena, East Los Angeles

Collection in progress:– Koreatown, Pico-Union, Alhambra– data collected, not yet digitized

The maps are individually redrawn as vector layers in ArcView GIS

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Respondent recruiting areasRespondent recruiting areas

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Drawing the mapsDrawing the maps

Respondents recruited focus groups were asked to color in :RED - uncomfortable areas

ORANGE - somewhat comfortable areas

GREEN - comfortable areas

BLUE - unknown areas

Each color is assigned a numeric value in the attribute table:

Red = -1Blue = 0

Orange = 1Green = 2

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Sample map in vector formatSample map in vector format

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Sample map in grid formatSample map in grid format

The map is divided into 281 columns and 238 rows (66878 cells). Each cell is located on an X-Y coordinate system and has a unique value.

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Map aggregationMap aggregation

Grid maps allow mathematical manipulation

Cells can be added, averaged, etc. across maps

Area maps are obtained by averagingCell values can be grouped by

standard deviation

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Map legend and chartMap legend and chart

Colors represent deviation from the mean

Above the mean (comfortable) = green

Below the mean (uncomfortable) = red

Each shade = 1/4 standard deviation

Chart shows number of cells per shade

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Types of maps producedTypes of maps produced

Area maps– average of maps drawn by respondents from the same

area

Inter-area maps– average maps of subsets of areas

• White ethnicity maps (Westside and South Pasadena)

• White and African American maps• White and Latino maps

– capture interethnic dynamics in the area

Los Angeles Composite Map

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Average map: Westside respondentsAverage map: Westside respondents

Note South Central high discomfort area

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South Central discomfort area becomes larger compared to the Westside map but diminishes in intensity

Average map: S. Pass respondentsAverage map: S. Pass respondents

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White respondents feel uncomfortable both in South Central and East LA

Average map: White respondentsAverage map: White respondents

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South Central discomfort area stays red but diminishes in intensity and moves East of Harbor Freeway

Average map: East LA respondentsAverage map: East LA respondents

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South Central discomfort area vanishes although respondents do not live in SC per se

Average map: Crenshaw respondentsAverage map: Crenshaw respondents

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When adding African American maps to White maps, SC discomfort area diminishes, but East LA stays uncomfortable

White and Black respondents mapWhite and Black respondents map

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White and Latino respondents mapWhite and Latino respondents map

The map strikingly resembles the one drawn by White respondents. Latinos less likely to know the city (especially women).

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Grand total map (all areas)Grand total map (all areas)

White structure of the map dominates. East Los Angeles and South Central are considered uncomfortable

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Preliminary conclusionsPreliminary conclusions

North-West / South East division of the city

Compton - Watts most uncomfortable

Westside most comfortable areaGlendale also comfortableSan Fernando Valley mixed

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Spatial modellingSpatial modelling

Spatial Correlations– LA Composite map and crime maps– Issues of control

Each respondent will have red/green ratio entered in the telephone survey dataset

Predict degree of comfort by using media connectedness

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Future plansFuture plans

Collecting supplementary data–mail out with blank maps and markers– increase no. of maps per area

Survey datasets– point maps - area you frequently go or

avoid– interpolation (kringing)– interarea connectedness (have you been

to…)

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