{"id":2709,"identifier":"FK2/E2XJOR","persistentUrl":"https://doi.org/10.60507/FK2/E2XJOR","protocol":"doi","authority":"10.60507","separator":"/","publisher":"bonndata","publicationDate":"2023-09-18","storageIdentifier":"file://10.60507/FK2/E2XJOR","metadataLanguage":"en","datasetType":"dataset","datasetVersion":{"id":133,"datasetId":2709,"datasetPersistentId":"doi:10.60507/FK2/E2XJOR","storageIdentifier":"file://10.60507/FK2/E2XJOR","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","lastUpdateTime":"2023-09-18T10:52:52Z","releaseTime":"2023-09-18T10:52:52Z","createTime":"2023-09-18T09:03:04Z","publicationDate":"2023-09-18","citationDate":"2023-09-18","license":{"name":"CC BY-SA 4.0","uri":"http://creativecommons.org/licenses/by-sa/4.0","iconUri":"https://licensebuttons.net/l/by-sa/4.0/88x31.png"},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010"},{"typeName":"otherId","multiple":true,"typeClass":"compound","value":[{"otherIdAgency":{"typeName":"otherIdAgency","multiple":false,"typeClass":"primitive","value":"ZEF Data Portal"},"otherIdValue":{"typeName":"otherIdValue","multiple":false,"typeClass":"primitive","value":"a76b76a7-4ced-442f-ac2d-ffc8471e0e34"}}]},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Valerie Graw"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Valerie Graw"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"valerie.graw@gmail.com"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"Overlaying the number of marginality dimensions with percentage of people living below 1.25$/day. This map is included in a global study on mapping marginality focusing on Sub-Saharan Africa and South Asia. The Dimensions of Marginality are based on different data sources representing different spheres of life. The poverty dataset used in this study is based on calculations by Harvest Choice.\nThe underlying Marginality map is based on the approach on Marginality Mapping (http://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf). The respective map can be found here: https://daten.zef.de/#/metadata/ae4ae68c-cea3-44e7-8199-1c2ae04abb88\n\nQuality/Lineage: Poverty Data was provided and generated by Harvest Choice GIS lab. Marginality hotspots are based on the approach by Graw, V. using five dimensions of marginality. \nIn ArcGIS thresholds were defined based on percentages and overlapping dimensions. Using raster data this data was reclassified and overlayed to build a new classification with regard to the here presented purpose.\nThis approach is similar to the overlap over marginality and poverty mass except this map shows percentage of poverty instead of number of poor people.\nPurpose: This map was created in the MARGIP project to identify the marginalized and poor by highlighting those areas where the \"spheres of life\" have a low performance. 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