Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010 (doi:10.60507/FK2/ASXJSH)

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Document Description

Citation

Title:

Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010

Identification Number:

doi:10.60507/FK2/ASXJSH

Distributor:

bonndata

Date of Distribution:

2023-09-18

Version:

1

Bibliographic Citation:

Valerie Graw, 2023, "Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010", https://doi.org/10.60507/FK2/ASXJSH, bonndata, V1

Study Description

Citation

Title:

Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010

Identification Number:

doi:10.60507/FK2/ASXJSH

Identification Number:

edee879a-5e3e-40b0-aa18-1f33d9fba015

Authoring Entity:

Valerie Graw (Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn)

Distributor:

bonndata

Access Authority:

Valerie Graw

Holdings Information:

https://doi.org/10.60507/FK2/ASXJSH

Study Scope

Keywords:

Other

Topic Classification:

MARGIP, poverty

Abstract:

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 dataset used for this approach (Marginality Hotspots) can also be found here: (link to datasett???). Five different dimenstion of marginality were defined and based on their thresholds overlayed to identify those areas where more than only 1 or 2 dimensions occur but several once which make these areas more marginal. With regard to the project MARGIP especially those people are at risk who are marginalized and poor and are thereby lacking possibilities due to missing access to capital and resources but also by being remote. The number of poor are the once we want to make visible. Therefore data by HarvestChoice on Poverty Mass representing the number of people living in poverty were overlayed with dimensions of marginality to give an impression on how many people are living in these spots and are thereby being poor and marginal. See also: http://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf . Quality/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. 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.

Time Period:

2005-01-01T15:08:00-2010-12-31T15:09:00

Geographic Coverage:

Africa, Asia, South of Sahara, South Asia

Geographic Bounding Box:

  • West Bounding Longitude: -32.34375
  • East Bounding Longitude: 109.6875
  • South Bounding Latitude: -53.4375
  • North Bounding Latitude: 56.25

Notes:

This dataset was first published on the institutional Repository "Zentrum für Entwicklungsforschung: ZEF Data Portal" with ID={edee879a-5e3e-40b0-aa18-1f33d9fba015}.<br/> Marginality Dimensions I. Economy (GNI) II. Quality of Life (Stunting) III. Landscape Design (Accessibility) IV. Ecosystems (Soil Constraints) V. Governance (Political Stability)

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Other Study-Related Materials

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