From: Learning to cluster urban areas: two competitive approaches and an empirical validation
Type | Level | Description | Variables |
---|---|---|---|
Location | I/B† | Geocoded position of the unit | LON, LAT |
SES | I | Socioeconomic status | SES |
B | AVG_SES, STD_SES | ||
Aesthetic | I/B | Aesthetic perception index of the nearest geocoded image (individual) or averaged at the urban block level | BEAUTY, BORING, |
DEPRESSING, LIVELY, | |||
SAFE, WEALTHY | |||
Political | I/B | Proportion of a political choice in the Constitutional plebiscite or in the Chilean Presidential Elections (first round) | PROP_APPROVE, |
PROP_{BORIC,KAST, | |||
PROVOSTE,SICHEL, | |||
ENRIQUEZ,PARISI, | |||
ARTES} | |||
Surnames | I | Eliteness (α) and presence/absence | MAPUCHE, ELITE |
B | of Mapuche or high-class surnames | AVG_{MAPUCHE,ELITE, | |
ALPHA} | |||
Land use | I/B | Proportion/\(M^{2\ddagger}\) of land use of the urban block according to a land use typology∗ | PROP_{A,C,D,E,G,H,I, |
K,L,M,O,P,Q,S,T,V,W,Z} | |||
M2_{A,C,D,E,G,H,I, | |||
K,L,M,O,P,Q,S,T,V,W,Z} | |||
Demographic | I | Sex, age, proportion of immigrants | SEX, AGE, PROP_IM |
B | Age, proportion of immigrants/women | AVG_AGE, STD_AGE, | |
PROP_{IMM,WO} |