ResSegr Mapping of Segregation Indicators
The following interactive maps were generated in the research project
"Residential segregation in five European countries. A comparative study
using individualized scalable neighborhoods"
The Technical Report documenting the processes that have led to the
making of the
harmonized multi-country datasets with segregation indicators, describes
the national datasets including geographical coordinate systems, the
definition of indicators and a description of the software used to
produce the data. The report also pays attention to the various ethical
and privacy considerations that were considered in the creation of the
dataset so that privacy of individuals is protected. The Technical
Report is available at
http://docs.wixstatic.com/ugd/870ecc_d148b555abb542d19bfcb0c1358e0f17.pdf
More information on the project "ResSegr" can be found at
http://jpi-urbaneurope.eu/project/ressegr/
The data was generated by researchers at Stockholm University
(Department of Human Geography), the University of Oslo (Department of
Sociology and Human Geography), Statistics Denmark, the Netherlands
Interdisciplinary Demographic Institute and the Vrije Universiteit
Brussels (Interface Demography). Funding was granted by the Joint
Programme Initiative Urban Europe.
The interactive maps are available for Sweden and Denmark for 4
k-levels: 400, 1600, 6400 and 51200,and for Norway for 3 k-levels: 1600,
6400 and 51200, and for the 5 indicators listed below. All data pertain
to the year 2011.
You are free to refer to the interactive maps on this website. It is not
possible to download the underlying data. When referring to the maps,
please refer to:
©ResSegr
(2018), Residential segregation in five European countries. A
comparative study using individualized scalable neighborhoods.
Interactive maps. Department of Human Geography, Stockholm University,
Department of Sociology and Human Geography, University of Oslo, and
Statistics Denmark.
Project team:
Department of Human Geography, Stockholm University: Karen Haandrikman,
Michael Nielsen, Bo Malmberg and Eva Andersson.
Department of Sociology and Human Geography, University of Oslo: Adrian
F. Rogne, Torkild H. Lyngstad, Torbjørn Skardhamar and Gunn E Birkelund.
Statistics Denmark: Henning Christiansen and Niels Ploug.
Tech notes
Data is classified in
5 classes using the method Natural Breaks (Jenks).
Maps created by Stefan Ene, Department of Human Geography, Stockholm
University:
stefan.ene@humangeo.su.se
Viewing controls for the maps:

Important note:
The data that you can access from this page is distributed via a server
that acts as a project test-bed and should NOT be considered as a
production solution! No pre-caching (or any other optimization) is
undertaken which means that "first-time" access to datasets at a certain
zoom-level might be slow until caching is performed (be patient and let
layers load before clicking wildly to reload - caching will be done
automatically which means that when you or anyone else requests the same
data the response will be significantly faster).
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