bonndata catalog
Thumbnail for Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010

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

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/ASXJSH
Published version
1.0
Publication date
2023-09-18
License
CC BY-SA 4.0

Description

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.

Creators

Keywords

marginality, society

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
metadata.xmltext/xml28253MD5 0b68dd9af461f4689e062057dbffae02
Overl_MargDimPov_300.jpgimage/jpeg3488295MD5 705d2575effa357cf6a89e299b0e4bb1
Overlapping_MargDimPov.pngimage/png195836MD5 d9b81e4038019f5dd2b153cccda57d78
Margip_BMGF_Edited.gifimage/gif6676MD5 921410f2916b91130ce577059239f39b

Citation

Valerie Graw, 2023-09-18, Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010, doi:10.60507/FK2/ASXJSH, V1.0

Additional Dataverse fields

Id63
Dataset Typedataset
Internal Version Number9
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2023-09-18T10:30:30Z
Create Time2023-09-18T08:53:44Z
Citation Date2023-09-18
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010
Other Id otherId
  1. Other Id Agency
    ZEF Data Portal
    Other Id Value
    edee879a-5e3e-40b0-aa18-1f33d9fba015
Author author
  1. Author Name
    Valerie Graw
    Author Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
Dataset Contact datasetContact
  1. Dataset Contact Name
    Valerie Graw
    Dataset Contact Affiliation
    Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn
    Dataset Contact Email
    valerie.graw@gmail.com
Ds Description dsDescription
  1. Ds Description Value
    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.
Subject subject
  1. Other
Subject Refinement subjectRefinement
  1. Subject Refinement Value
    society
Free Keyword freeKeyword
  1. Free Keyword Value
    marginality
  2. Free Keyword Value
    society
Topic Classification topicClassification
  1. Topic Class Value
    MARGIP
    Topic Class Vocab
    Research Project
  2. Topic Class Value
    poverty
    Topic Class Vocab
    GEMET - Concepts, version 2.4
Notes Text notesText
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)
Time Period Covered timePeriodCovered
  1. Time Period Covered Start
    2005-01-01T15:08:00
    Time Period Covered End
    2010-12-31T15:09:00

Geospatial Metadata

Geographic Coverage geographicCoverage
  1. Other Geographic Coverage
    Africa
  2. Other Geographic Coverage
    Asia
  3. Other Geographic Coverage
    South of Sahara
  4. Other Geographic Coverage
    South Asia
Geographic Bounding Box geographicBoundingBox
  1. West Longitude
    -32.34375
    East Longitude
    109.6875
    North Latitude
    56.25
    South Latitude
    -53.4375

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.