5-7 October 2009 EFGS Workshop, The Hague, Netherlands

1

Geo-statistics and ScalesGeo-statistics and Scales

Mathieu VliegenMathieu Vliegen

OutlineOutline

Referencing statistical output and Referencing statistical output and scales in small area statisticsscales in small area statistics

Comparison of scales: differentiation Comparison of scales: differentiation analysis analysis

Results of analysis for the 3 biggest Results of analysis for the 3 biggest cities in the Netherlandscities in the Netherlands

What does the analysis tell us?What does the analysis tell us?

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

2

Referencing and scalesReferencing and scales

ReferencingReferencing

RegionalRegional Spatial Spatial Geometrical Geometrical

ScalesScales

Postal areasPostal areas Sub-city areasSub-city areas Grid squaresGrid squares

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

3

Differentiation analysisDifferentiation analysis

Range analysis: Range analysis: difference between highest and difference between highest and lowest scale valuelowest scale value

Homogeneity analysis: Homogeneity analysis: variation coefficient = standardized variation coefficient = standardized standard deviation of the scale value standard deviation of the scale value distribution (standard deviation / distribution (standard deviation / value of the relevant territorial unit )value of the relevant territorial unit )

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

4

Scales used in the analysisScales used in the analysis

Postal areasPostal areas

Sub-city areasSub-city areas

Grid squaresGrid squares

4-digit (e.gr. 2203)4-digit (e.gr. 2203) 5-digit (e.gr. 5-digit (e.gr.

2203H)2203H)

DistrictsDistricts NeighbourhoodsNeighbourhoods

500 x 500 m500 x 500 m 100 x 100 m100 x 100 m

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

5

Variables analysedVariables analysed

Population aged 65 and over (%)Population aged 65 and over (%) Population with non-western foreign Population with non-western foreign

background (%)background (%) One-person household (%)One-person household (%)

Private housing (% dwellings)Private housing (% dwellings) Average ratable value dwellingsAverage ratable value dwellings

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

6

Key figures: PopulationKey figures: Population

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

7

  Total 65 years Non-

  Population and older western

x 1000 % %Amsterdam 728,5 11,3 34,6Rotterdam 566,7 14,6 36,0The Hague 469,5 13,4 32,8

Key figures: HouseholdsKey figures: Households

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

8

  Total One- House- person

  holds households

x 1000 %Amsterdam 401,2 55,3Rotterdam 283,9 46,9The Hague 234,3 48,1

Key figures: HousingKey figures: Housing

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

9

  Total Private Ratabledwellings

housing value

  x 1000 % € 1.000 Amsterdam 387.5 20.6 230.6Rotterdam 293.3 29.6 152.2The Hague 235.8 43.8 197.1

Number of small areal Number of small areal unitsunits

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

10

 

Amsterdam

Rotterdam

The Hague

Postal areas 4-digit 81 73 61Postal areas 5-digit 1085 994 825

Sub-city districts 15 18 44Sub-city neigbourhoods 96 85 111

Grid squares 500x500 m 569 516 308Grid squares 100x100 m 6790 6476 4810

Small areal units: average Small areal units: average populationpopulation

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

11

 

Amsterdam

Rotterdam

The Hague

Postal areas 4-digit 8 994 7 762 7 696Postal areas 5-digit 671 570 569

Sub-city districts 48 564 31 481 10 670Sub-city neigbourhoods 7 588 6 667 4 229

Grid squares 500x500 m 1 282 1 096 1 519Grid squares 100x100 m 107 88 98

Amsterdam: Variation Amsterdam: Variation coefficientscoefficients

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

12

  Population One- Housing  

65 years Non- person Private Ratable

  or older westernhousehold housing value

Sub-city districts 0.34 0.47 0.16 0.20 0.23

Postal areas 4-digit 0.61 0.61 0.30 0.94 0.44

Sub-city neigbourhoods 0.54 0.54 0.24 0.91 0.47Grid squares 500x500 m 1.25 0.67 0.40 1.42 0.76

Postal areas 5-digit 1.02 0.66 0.27 1.01 0.55Grid squares 100x100 m 1.49 0.75 0.43 1.58 0.91

Rotterdam: Variation Rotterdam: Variation coefficientscoefficients

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

13

 Population   One- Housing  

65 years Non- person Private Ratable

  or older western householdhousing value

Sub-city districts 0.37 0.49 0.31 0.55 0.25

Postal areas 4-digit 0.57 0.60 0.29 0.61 0.42

Sub-city neigbourhoods 0.54 0.60 0.32 0.68 0.47Grid squares 500x500 m 1.14 0.60 0.44 1.02 1.73

Postal areas 5-digit 0.91 0.69 0.36 0.87 0.66Grid squares 100x100 m 1.40 0.71 0.53 1.23 1.39

The Hague: Variation The Hague: Variation coefficientscoefficients

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

14

  Population One- Housing  

65 years Non- person Private Ratable

  or older western household housing value

Sub-city districts 0.71 0.65 0.32 0.48 0.72

Postal areas 4-digit 0.59 0.69 0.27 0.47 0.58

Sub-city neigbourhoods 0.95 0.70 0.34 0.57 0.72Grid squares 500x500 m 1.04 0.64 0.39 0.62 0.99

Postal areas 5-digit 1.08 0.79 0.31 0.64 0.71Grid squares 100x100 m 1.44 0.77 0.51 0.81 1.92

What does the analysis tell What does the analysis tell us? us?

Awareness of the implications of Awareness of the implications of the areal scale with respect to the the areal scale with respect to the statistics produced at that scale statistics produced at that scale (how to lie with statistics?)(how to lie with statistics?)

Definition as detailed as possible of Definition as detailed as possible of the area scale used in order to the area scale used in order to protect users for possible pitfalls protect users for possible pitfalls using the statistics in questionusing the statistics in question

5-7 October 2009 EFGS Workshop, The Hague, Netherlands

15