Die Kombination von geographischen Daten verschiedener Bezugsräume mittels Flächeninterpolation: Methoden für Datenjournalisten und Datenjournalistinne

Translated title of the contribution: Combination of geographic data of different reference areas by areal interpolation: methods for data journalists

Beate Tomio, Jochen Schiewe, Julius Tröger

Abstract

Choropleth maps also arc a crucial presentation method in the media, e. g., to visualize election results. For data-driven journalism, the combination of different data sets is of particular interest to show correlations, for example between income and election results. Since these data are often available for different reporting zones, a spatial reorganization is necessary. For this purpose, records from source zones, e. g., the 138 district regions of Berlin, are mapped on target zones, e. g., the 1709 electoral districts of Berlin. In this article we cover the application of areal interpolation for data journalists by means of the test case Berlin. We present a selection of appropriate methods and a basic concept of a software for areal interpolation.
Translated title of the contributionCombination of geographic data of different reference areas by areal interpolation: methods for data journalists
Original languageGerman
Pages (from-to)123–128
JournalKN - Journal of Cartography and Geographic Information
Volume66
Issue number3
DOIs
Publication statusPublished - 1 May 2016

Keywords

  • Areal Interpolation
  • Aggregation
  • Disaggregation
  • Data Driven Journalism

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