grids as useful tool for rebuilding time series
DESCRIPTION
GRIDS AS USEFUL TOOL FOR REBUILDING TIME SERIES. Claude GRASLAND (Univ. Paris Diderot) Nicolas LAMBERT (CNRS-RIATE) Hélène MATHIAN (CNRS- Géographie-cités). SPECIFIC PROBLEM. HOW IS IT POSSIBLE TO ANALYZE EVOLUTIONS WHEN TERRITORIAL DIVISIONS ARE CHANGING ?. GENERAL PROBLEM. GEOM1. - PowerPoint PPT PresentationTRANSCRIPT
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GRIDS AS USEFUL TOOLFOR REBUILDING TIME SERIES
Claude GRASLAND (Univ. Paris Diderot)
Nicolas LAMBERT (CNRS-RIATE)
Hélène MATHIAN (CNRS- Géographie-cités)
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SPECIFIC PROBLEM
HOW IS IT POSSIBLE TO ANALYZE EVOLUTIONSWHEN TERRITORIAL DIVISIONS ARE CHANGING ?
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GEOM2
GEOM1
GEOM1 x GEOM2
GENERAL PROBLEM
HOW IS IT POSSIBLE TO COMBINE DATA AVAILABLEON TWO DIFFERENT GEOMETRIES ?
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SOLUTION n°1 : TRANSFER DATA BY GRID
GEOM1xV1
SOLUTION
Auxilliaryattribute
GRID
V1_GRID
GEOM2xV2
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GEOM2xV2
GEOM1xV1
SOLUTION n°2 : GRIDDING + SMOOTHING
AncillaryvariableGRID
V1_GRID
V2_GRID POT_V2
POT_V1
POT_V2 / POT_V1
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GRIDDING + SMOOTHING
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TEST AREA : South-Western France
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OBJECTIVE : Annual growth rate of population 1990-2006
GEOM252 Zones d’emploi
GEOM155 Arrondissements
???
???
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NUTS2 NameAggregatedpopulation
1990
Aggregatedpopulation
2006
Annual populationgrowth 1990-2006 (%)
FR61 Aquitaine 2795830 3119757 0,69
FR62 Midi-Pyrénées 2430663 2776821 0,84
FR81 Languedoc-Roussillon 2114985 2534155 1,14
AN EXACT BUT NOT INTERESTING SOLUTION : Aggregation at first common level
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Grid of population1km x 1kmFrom EEA
ANCILLARYVARIABLE
100 000 Grid points
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POP06 / ZEMP
POP90 / ARRD
ESTIMATION OF TARGET INDICATOR
POP00/GRID
POP90 /GRID
POP06/ GRID POT (POP06)Gauss 20 km
POT (POP90)Gauss 20 km
ANNUAL GROWTHRATE 1990-2006Gauss 20 km
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POP06 / ZEMP
POP06 / ARRD
ESTIMATION OF RESIDUAL « NOISE »
POP00/GRID
POP06/GRID*
POP06/GRID POT (POP06)Gauss 20 km
POT (POP06)*Gauss 20 km
POT(POP06) *____________
POT (POPO6)
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Smooth 10 km
0 +1%-1%-5%0.25 0.5 0.75 1.0 +5%(%)
Increase of population 1990 - 2006 Noise introduced by the method
GOOD SPATIAL RESOLUTION … … BUT HIGH LEVEL OF NOISE
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Smooth 40 km
0 0.25 0.5 0.75 1.0 (%)
Increase of population 1990 - 2006
+1%-1%-5% +5%
Noise introduced by the method
LOW SPATIAL RESOLUTION … … BUT LOW LEVEL OF NOISE
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Smooth 20 km
0 0.25 0.5 0.75 1.0 (%)
Increase of population 1990 - 2006
+1%-1%-5% +5%
Noise introduced by the method
GOOD COMPROMISE BETWEEN SPATIAL RESOLUTION AND NOISE
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SYNTHESIS : Signal & Noise
Mean Noise < 1%
Max Noise < 5%
Gaussian Smooth > 22 km
Gaussian Smooth > 22 km
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CONCLUSION & PERSPECTIVESSmooth + Grid
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Longer Time Series
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Multilevel spatial analysis
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Cross Border Analysis
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Modifiable Area Unit Progress
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Thank you for your attention !
Grasland, Mathian, Vincent, 2000,Statistical Journal of UN-ECE
Grasland, Madelin, 2007,ESPON 3.4.3, MAUP