a76b76a7-4ced-442f-ac2d-ffc8471e0e34 eng b7350a64-9cfd-4236-9237-fd65b6fb9904 Valerie Graw valerie.graw[at]gmail.com 2023-05-02T19:44:09 ISO 19115:2003/19139 1.0 Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010 2005-12-22T11:00:00 2010-12-23 2011-11-15 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. The 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 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. Those areas where multiple "low performance indicators" did overlap got the highest attention for further research. Harvest Choice https://harvestchoice.org/products/data Homepage Valerie Graw Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn Function performed by the responsible party valerie.graw[at]gmail.com https://daten.zef.de:/geonetwork/srv/api/records/a76b76a7-4ced-442f-ac2d-ffc8471e0e34/attachments/Overlapping_MargPovheadcount1.png https://daten.zef.de:/geonetwork/srv/api/records/a76b76a7-4ced-442f-ac2d-ffc8471e0e34/attachments/Margip_BMGF_Edited.gif MARGIP Research Project 2021-06-04 geonetwork.thesaurus.local.discipline.RP-KW marginality human attitudes biological water balance income poverty GEMET - Concepts, version 2.4 2010-01-13 geonetwork.thesaurus.external.theme.gemet Africa Asia Continents, countries, sea regions of the world. 2015-07-17 geonetwork.thesaurus.external.place.regions South of Sahara South Asia The map is available as image only. The raster-based data source can be provided upon request to the author. Map is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) http://creativecommons.org/licenses/by-nc-sa/4.0/ Citation: Graw, V. (2011): Marginality Hotspots and Poverty Head Count Ratio, Sub-Saharan Africa and South Asia, 2005-2010 (https://daten.zef.de/#/metadata/a76b76a7-4ced-442f-ac2d-ffc8471e0e34) eng economy society 2005-01-01T15:08:00 2010-12-31T15:09:00 -32.34375 109.6875 -53.4375 56.25 Portable Network Graphics (PNG) Center for Development Research (ZEF) WWW:DOWNLOAD-1.0-http--download http://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf WWW:LINK-1.0-http--link ZEF Working Paper 88 Valerie Graw, Christine Ladenburger (2012): Mapping Marginality Hotspots Geographical Targeting for Poverty Reduction https://daten.zef.de:/geonetwork/srv/api/records/a76b76a7-4ced-442f-ac2d-ffc8471e0e34/attachments/Overlapping_MargPovheadcount1.png WWW:DOWNLOAD-1.0-http--download Overlapping_MargPovheadcount1.png Map https://www.zef.de/margip.html WWW:LINK-1.0-http--link Marginality Reduction for Enhanced Investments for and with the Poorest (MARGIP) website https://daten.zef.de:/geonetwork/srv/api/records/a76b76a7-4ced-442f-ac2d-ffc8471e0e34/attachments/ReadMe.txt WWW:DOWNLOAD-1.0-http--download ReadMe.txt 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. In 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. This approach is similar to the overlap over marginality and poverty mass except this map shows percentage of poverty instead of number of poor people.