EMBEDDING THE CONCEPTUAL MODEL INTO THE REALITY
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EMBEDDING THE CONCEPTUAL MODEL
INTO THE REALITY
IRES – TORINO – 19/04/2010Floriana Gargiulo
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From concepts to reality…
VILLAGE
HOUSEHOLDS
ACTIVITIES,LAND USE,SERVICES
RESIDENCES
0-4
10_1
4
20-2
4
30-3
4
40-4
4
50-5
4
60-6
4
70-7
4
80-8
4
90-9
4
0
100
200
300
400
500
600
700
population- ABREST
populationl- BELLERIVE
1 2 3 4 5 >6
0
200
400
600
800
1000
1200
1400
HH size - ABREST
HH size- BELLERIVE
AGE DISTRIBUTION
HH SIZE DISTRIBUTION
•EUROSTAT datasets
•CENSUS Data at municipality level
•Inventaire communale+ Base permanente des èquipments
•Corine land cover
•Enquête RP99 migration
•Labour Survey
…
•EUROSTAT datasets
•CENSUS Data at municipality level
•Inventaire communale+ Base permanente des èquipments
•Corine land cover
•Enquête RP99 migration
•Labour Survey
…
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Two examples:
Initialization of demography at municipality level
The network of municipality at regional level
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DEMOGRAPHIC INITIALIZATION of POPULATION
0-4
10_1
4
20-2
4
30-3
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40-4
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50-5
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60-6
4
70-7
4
80-8
4
90-9
4
0
100
200
300
400
500
600
700
population- ABREST
populationl- BELLERIVE
1 2 3 4 5 >6
0
200
400
600
800
1000
1200
1400
HH size - ABREST
HH size- BELLERIVE
AGE DISTRIBUTION
HH SIZE DISTRIBUTION
HH1
HH2
HH5
HH4
HH3
HH6HH7
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CONSTRAINS:
•HH Type•Age of Referent
•Difference of age between partners•Difference of age between mother and
children
CONSTRAINS:
•HH Type•Age of Referent
•Difference of age between partners•Difference of age between mother and
children
NO INDIVIDUAL DATA
NO DETAILS ON A SAMPLE
NO INFORMATION IN DIFFERENT YEARS
NO POSSIBILITY TO USE TRADITIONAL STATISTICAL METHODS LIKE IFP
ITERATIVE ALGORITHM: STOCHASTIC EXTRACTION
+ TEST
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0-4
10_1
4
20-2
4
30-3
4
40-4
4
50-5
4
60-6
4
70-7
4
80-8
4
90-9
4
0
100
200
300
400
500
600
700
population- ABREST
populationl- BELLERIVE
1 2 3 4 5 >6
0
200
400
600
800
1000
1200
1400
HH size - ABREST
HH size- BELLERIVE
AGE DISTRIBUTION
HH SIZE DISTRIBUTION
CONSTRAINS:
•HH Type•Age of Referent
•Difference of age between partners•Difference of age between mother and children
CONSTRAINS:
•HH Type•Age of Referent
•Difference of age between partners•Difference of age between mother and children
3HH size
TEST
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Age of Referent
0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
15-24 25-29 30-49 50-59 60-74 >74
REAL DATA
ARTIFICIAL
ABREST BELLERIVE SUR ALLER
0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
0,5
15-24 25-29 30-49 50-59 60-74 >74
Number of Children
0
50
100
150
200
250
300
350
400
Familles sansenfants en 1990
Familles d'unenfant en 1990
Familles de deuxenfants en 1990
Familles de troisenfants en 1990
Familles de quatreenfants ou plus en
1990
ABREST
0
200400
600
800
10001200
1400
1600
Familles sansenfants en
1990
Familles d'unenfant en 1990
Familles dedeux enfants
en 1990
Familles detrois enfants
en 1990
Familles dequatre enfants
ou plus en1990
REAL DATA
ARTIFICIAL
BELLERIVE SUR ALLER
An Iterative Approach for Generating Statistically Realistic Populations of Households
Floriana Gargiulo, Sônia Ternes, Sylvie Huet and Guillaume DeffuantPLoS One. 2010; 5(1): e8828
An Iterative Approach for Generating Statistically Realistic Populations of Households
Floriana Gargiulo, Sônia Ternes, Sylvie Huet and Guillaume DeffuantPLoS One. 2010; 5(1): e8828
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The REGIONAL level: the commuting network
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SURVEY ONCOMMUTING
DIRECTED GRAPH
UNDIRECTED GRAPH
WEIGHTED GRAPH
WEIGHTED GRAPH
UNWEIGHTED GRAPH
UNWEIGHTED GRAPH
1310 municipalities43323 directed links
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DEGREE DISTRIBUTION
• 15014 -Aurillac • 43157 - Puy En Velay • 63014 - Aubiere• 63032 - Beaumont • 63040 - Billom • 63063 - Cebazat • 63075 - Chamalieres
• 63103 - ChatelGuyon • 63113 - Clermont Ferrand • 63124 - Cournon D’auvergne• 63164 - Gerzat• 63178 - Issoire• 63193 - Lempedes • 63284 - Pont Du Chateau
• 63300 – Riom• 63307 - Romagnat • 63430 – Thiers• 03095 - Cusset• 03118 – Gannat• 03185 – Montlucon• 03190 - Moulan • 03310 – Vichy
MUNICIPALITY WITH IN-DEGREE HIGHER THAN 100MUNICIPALITY WITH IN-DEGREE HIGHER THAN 100
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Definition of the reachable outside
AUBIERE SAINT GERON SAINT PAULIEN