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atlas of urban vulnerability in spain: methodology and contents

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DOMAIN 3: URBAN INEQUITY INDEXES.<br />

Two synthetic Inequity Indexes are provided, calculated comb<strong>in</strong><strong>in</strong>g the 3 Basic<br />

Indicators <strong>of</strong> Urban Vulnerability (BIUV): IDS (Index <strong>of</strong> Socioeconomic Inequity) <strong>and</strong><br />

IDU (Index <strong>of</strong> Urban Inequity). Each <strong>of</strong> them can be referred to the municipality, the<br />

region (Autonomous Community) or to Spa<strong>in</strong>.<br />

This doma<strong>in</strong> provides two (synthetic) Inequity Indexes, calculated from the 3 Basic<br />

Indicators <strong>of</strong> Urban Vulnerability (BIUV): IDS (Index <strong>of</strong> Socioeconomic Inequity) <strong>and</strong><br />

IDU (Index <strong>of</strong> Urban Inequity). Each <strong>of</strong> these <strong>in</strong>dices can be referenced to the<br />

municipality, the region (Autonomous Community) or to Spa<strong>in</strong>.<br />

First <strong>of</strong> all, the 3 Basic Indicators <strong>of</strong> Urban Vulnerability (BIUV) <strong>of</strong> each Census section<br />

are st<strong>and</strong>ardized us<strong>in</strong>g the "chi square" method. Depend<strong>in</strong>g on the context they are<br />

referred to (the municipality, the Autonomous Community or Spa<strong>in</strong>), the st<strong>and</strong>ardization<br />

is carried with respect to the respective values <strong>of</strong> the <strong>in</strong>dicator for the municipality, for<br />

the autonomous region, or for Spa<strong>in</strong>. This means that for each Census section the<br />

st<strong>and</strong>ardized value <strong>of</strong> each Basic Urban Vulnerability Indicator (BIUV) is calculated<br />

divid<strong>in</strong>g the square <strong>of</strong> the difference between the value <strong>of</strong> the BIUV for the Census<br />

section <strong>and</strong> the BIUV value for the municipality, the Autonomous Community or for<br />

Spa<strong>in</strong>, divided by the BIUV value for the municipality, the Autonomous Community or<br />

for Spa<strong>in</strong>.<br />

St<strong>and</strong>ardized value <strong>of</strong> each BIUV us<strong>in</strong>g the chi-square method <strong>in</strong> each Census section<br />

<strong>in</strong> respect to the municipality, the Autonomous Community or Spa<strong>in</strong> =<br />

(BIUV Value <strong>in</strong> the Census section BIUV Value <strong>in</strong> the municipality, the Autonomous<br />

Community or Spa<strong>in</strong>) 2 / (BIUV Value <strong>in</strong> the municipality, the Autonomous Community or<br />

Spa<strong>in</strong>).<br />

Once the values are st<strong>and</strong>ardized, then a logarithmic transformation is applied to adjust<br />

their distribution, by the calculation <strong>of</strong> its base 10 logarithm.<br />

F<strong>in</strong>ally, IDS, the Index <strong>of</strong> Socioeconomic Inequity, is obta<strong>in</strong>ed by the addition <strong>of</strong> the<br />

Basic Indicators <strong>of</strong> Urban Vulnerability (BIUV) "Percentage <strong>of</strong> unemployed population"<br />

<strong>and</strong> Percentage <strong>of</strong> illiterate (or without basic education) population, once<br />

st<strong>and</strong>ardized us<strong>in</strong>g the chi-square method <strong>and</strong> then applied a logarithmic<br />

transformation to adjust their distribution.<br />

IDU, the Index <strong>of</strong> Urban Inequity, is obta<strong>in</strong>ed by the addition <strong>of</strong> the 3 Basic Urban<br />

Vulnerability Indicators (BIUV) "Percentage <strong>of</strong> unemployed population", Percentage <strong>of</strong><br />

illiterate (or without basic education) population <strong>and</strong> Percentage <strong>of</strong> population <strong>in</strong><br />

dwell<strong>in</strong>gs without toilet or WC), once st<strong>and</strong>ardized us<strong>in</strong>g the chi-square method <strong>and</strong><br />

then applied a logarithmic transformation to adjust their distribution.<br />

ATLAS OF URBAN VULNERABILITY IN SPAIN.<br />

METHODOLOGY AND CONTENTS. PAG. 24

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