atlas of urban vulnerability in spain: methodology and contents
atlas of urban vulnerability in spain: methodology and contents
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