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Switching between different non-hierarchical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin

Switching between different non-hierarchical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin
Switching between different non-hierarchical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin

The transformation of area aggregates between non-hierarchical area systems (administrative areas) is a standard problem in official statistics. For this problem, we present a proposal which is based on kernel density estimates. The approach applies a modification of a stochastic expectation maximization algorithm, which was proposed in the literature for the transformation of totals on rectangular areas to kernel density estimates. As a by-product of the routine, one obtains simulated geo-coordinates for each unit. With the help of these geo-coordinates, it is possible to calculate case numbers for any area system of interest. The proposed method is evaluated in a design-based simulation based on a close-to-reality, simulated data set with known exact geo-coordinates. In the empirical part, the method is applied to student resident figures from Berlin, Germany. These are known only at the level of ZIP codes, but they are needed for smaller administrative planning districts. Results for (a) student concentration areas and (b) temporal changes in the student residential areas between 2005 and 2015 are presented and discussed.

Choropleth maps, kernel density estimation, statistical reporting, sub-regional estimation, urban development
0282-423X
297-314
Groß, Marcus
03fcd0d9-68e6-4d76-a4a1-b80203419c59
Kreutzmann, Ann-Kristin
1ea619bf-265a-4dfc-b8f6-ff36a743d2ab
Rendtel, Ulrich
2f0a82b7-2468-40d6-aa5a-1d2766743d49
Schmid, Timo
6337d53e-bfc0-4a18-b31c-551d2f859336
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a
Groß, Marcus
03fcd0d9-68e6-4d76-a4a1-b80203419c59
Kreutzmann, Ann-Kristin
1ea619bf-265a-4dfc-b8f6-ff36a743d2ab
Rendtel, Ulrich
2f0a82b7-2468-40d6-aa5a-1d2766743d49
Schmid, Timo
6337d53e-bfc0-4a18-b31c-551d2f859336
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a

Groß, Marcus, Kreutzmann, Ann-Kristin, Rendtel, Ulrich, Schmid, Timo and Tzavidis, Nikos (2020) Switching between different non-hierarchical administrative areas via simulated geo-coordinates: a case study for student residents in Berlin. Journal of Official Statistics, 36 (2), 297-314. (doi:10.2478/jos-2020-0016).

Record type: Article

Abstract

The transformation of area aggregates between non-hierarchical area systems (administrative areas) is a standard problem in official statistics. For this problem, we present a proposal which is based on kernel density estimates. The approach applies a modification of a stochastic expectation maximization algorithm, which was proposed in the literature for the transformation of totals on rectangular areas to kernel density estimates. As a by-product of the routine, one obtains simulated geo-coordinates for each unit. With the help of these geo-coordinates, it is possible to calculate case numbers for any area system of interest. The proposed method is evaluated in a design-based simulation based on a close-to-reality, simulated data set with known exact geo-coordinates. In the empirical part, the method is applied to student resident figures from Berlin, Germany. These are known only at the level of ZIP codes, but they are needed for smaller administrative planning districts. Results for (a) student concentration areas and (b) temporal changes in the student residential areas between 2005 and 2015 are presented and discussed.

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Accepted/In Press date: 1 December 2019
e-pub ahead of print date: 15 June 2020
Published date: June 2020
Keywords: Choropleth maps, kernel density estimation, statistical reporting, sub-regional estimation, urban development

Identifiers

Local EPrints ID: 438381
URI: http://eprints.soton.ac.uk/id/eprint/438381
ISSN: 0282-423X
PURE UUID: 312fbf6a-4ce0-4fde-b76e-6cd6a58c2373
ORCID for Nikos Tzavidis: ORCID iD orcid.org/0000-0002-8413-8095

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Date deposited: 09 Mar 2020 17:30
Last modified: 05 Dec 2023 02:37

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Contributors

Author: Marcus Groß
Author: Ann-Kristin Kreutzmann
Author: Ulrich Rendtel
Author: Timo Schmid
Author: Nikos Tzavidis ORCID iD

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