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Research data

MAPISLAM: A Spatial Dataset of Muslim Institutions in Urban France

Drouhot, Lucas
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/1950
Abstract: The purported spatial segregation of Muslim populations in Western Europe constitutes a longstanding policy and scholarly concern, yet little spatial data exists for purposes of empirical study. The MAPISLAM dataset is a research effort aimed at bridging this gap for the French empirical context. MAPISLAM is a spatial dataset built from publicly available, online repositories of addresses for places of interest destined to the Muslim communities of France’s major cities.
Availability: Free access (with registration)
Subject area: Social Sciences
Topics: Islam | France | urban geography | religious community | immigration

Methodology

Date(s) of Data Collection: 2015; 2016
Geographic coverage: France / FR
Sampling Procedure: Total Universe / Complete enumeration

Bibliographic information

Primärforschende, Institution: Drouhot, Lucas; Max-Planck-Institut zur Erforschung Multireligiöser und Multiethnischer Gesellschaften
Publication year: 2019
Study number: SDN-10.7802-1950
Contributor, Institution, Role: [GESIS Datenarchiv für Sozialwissenschaften (Datenkurator/in) [=] GESIS Datenarchiv für Sozialwissenschaften (Vertrieb)]
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/1950

Cite

Drouhot, Lucas (2019). MAPISLAM: A Spatial Dataset of Muslim Institutions in Urban France. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/1950.

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