An Application of Cartographic Area Interpolation to German Administrative Data

Melanie Arntz, Ralf Wilke

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In many situations the applied researcher wishes to combine different data sources without knowing the exact link and merging rule. This paper considers different cartographic interpolation methods for interpolating attributes from German employment office districts to German counties and vice versa. In particular, we apply dasymetric weighting as an alternative to simple area weighting, both of which are based on estimated intersection areas. We also present conditions under which the choice of interpolation method does not matter and confirm the theoretical results with a simulation study. Our application to German administrative data suggests robustness of estimation results of interpolated attributes with respect to the choice of interpolation method. We provide weighting matrices for regional data sources of the two largest German data producers.
Original languageEnglish
JournalA St A - Advances in Statistical Analysis
Volume91
Issue number2
Pages (from-to)159-180
ISSN1863-8171
DOIs
Publication statusPublished - 2007
Externally publishedYes

Cite this

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abstract = "In many situations the applied researcher wishes to combine different data sources without knowing the exact link and merging rule. This paper considers different cartographic interpolation methods for interpolating attributes from German employment office districts to German counties and vice versa. In particular, we apply dasymetric weighting as an alternative to simple area weighting, both of which are based on estimated intersection areas. We also present conditions under which the choice of interpolation method does not matter and confirm the theoretical results with a simulation study. Our application to German administrative data suggests robustness of estimation results of interpolated attributes with respect to the choice of interpolation method. We provide weighting matrices for regional data sources of the two largest German data producers.",
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An Application of Cartographic Area Interpolation to German Administrative Data. / Arntz, Melanie; Wilke, Ralf.

In: A St A - Advances in Statistical Analysis, Vol. 91, No. 2, 2007, p. 159-180.

Research output: Contribution to journalJournal articleResearchpeer-review

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T1 - An Application of Cartographic Area Interpolation to German Administrative Data

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AU - Wilke, Ralf

PY - 2007

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AB - In many situations the applied researcher wishes to combine different data sources without knowing the exact link and merging rule. This paper considers different cartographic interpolation methods for interpolating attributes from German employment office districts to German counties and vice versa. In particular, we apply dasymetric weighting as an alternative to simple area weighting, both of which are based on estimated intersection areas. We also present conditions under which the choice of interpolation method does not matter and confirm the theoretical results with a simulation study. Our application to German administrative data suggests robustness of estimation results of interpolated attributes with respect to the choice of interpolation method. We provide weighting matrices for regional data sources of the two largest German data producers.

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DO - 10.1007/s10182-007-0022-5

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VL - 91

SP - 159

EP - 180

JO - A St A - Advances in Statistical Analysis

JF - A St A - Advances in Statistical Analysis

SN - 1863-8171

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