2010
DOI: 10.1177/0022343310368352
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Representing ethnic groups in space: A new dataset

Abstract: Whether qualitative or quantitative, contemporary civil-war studies have a tendency to over-aggregate empirical evidence. In order to open the black box of the state, it is necessary to pinpoint the location of key conflict parties. As a contribution to this task, this article describes a data project that geo-references ethnic groups around the world. Relying on maps and data drawn from the classical Soviet Atlas Narodov Mira (ANM), the ‘Geo-referencing of ethnic groups’ (GREG) dataset employs geographic info… Show more

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Cited by 223 publications
(160 citation statements)
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“…Our units of observation are subnational ethnographic regions as given in the GREG dataset by Weidmann et al (2010). This dataset is based on the digitalization of the classical Soviet Atlas Narodov Mira.…”
Section: Datamentioning
confidence: 99%
“…Our units of observation are subnational ethnographic regions as given in the GREG dataset by Weidmann et al (2010). This dataset is based on the digitalization of the classical Soviet Atlas Narodov Mira.…”
Section: Datamentioning
confidence: 99%
“…We obtain the information on the location of ethnic group settlements from the "GeoReferencing of Ethnic Groups" (GREG) dataset (Weidmann et al, 2010). This dataset disaggregates ethnic groups spatially by representing their territories as polygon shapefile.…”
Section: Ethnic Datamentioning
confidence: 99%
“…These studies consider key factors such as geography, ethnicity and location, using new geographic information systems (GIS) resources and data (see Rustad et al, 2011;Weidmann, Rød, and Cederman 2010), as well automated event data (see Brandt, 2011). It is increasingly common to report ex post and ex ante predictions in conflict research (Schneider, Gleditsch and Carey, 2011).…”
Section: Prediction and The Analysis Of Conflictmentioning
confidence: 99%