{"dcterms:modified":"2025-07-23","dcterms:creator":"bonndata","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6 build 1829-192cdc4","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://bonndata.uni-bonn.de/catalog/datasets/10.60507/FK2/ASXJSH/exportformat/oai-ore.json","ore:describes":{"citation:topicClassification":[{"citation:topicClassValue":"MARGIP","citation:topicClassVocab":"Research Project"},{"citation:topicClassValue":"poverty","citation:topicClassVocab":"GEMET - Concepts, version 2.4"}],"timePeriodCovered":{"citation:timePeriodCoveredStart":"2005-01-01T15:08:00","citation:timePeriodCoveredEnd":"2010-12-31T15:09:00"},"citation:dsDescription":{"citation:dsDescriptionValue":"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.\nSee also:\nhttp://www.zef.de/fileadmin/webfiles/downloads/zef_wp/wp88.pdf .\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."},"citation:datasetContact":{"citation:datasetContactName":"Valerie Graw","citation:datasetContactAffiliation":"Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn","citation:datasetContactEmail":"valerie.graw@gmail.com"},"geospatial:geographicCoverage":[{"geospatial:otherGeographicCoverage":"Africa"},{"geospatial:otherGeographicCoverage":"Asia"},{"geospatial:otherGeographicCoverage":"South of Sahara"},{"geospatial:otherGeographicCoverage":"South Asia"}],"citation:otherId":{"citation:otherIdAgency":"ZEF Data Portal","citation:otherIdValue":"edee879a-5e3e-40b0-aa18-1f33d9fba015"},"author":{"citation:authorName":"Valerie Graw","citation:authorAffiliation":"Center for Development Research, Department Economy and Technological Change (ZEF B), University of Bonn"},"geospatial:geographicBoundingBox":{"geospatial:westLongitude":"-32.34375","geospatial:eastLongitude":"109.6875","geospatial:northLatitude":"56.25","geospatial:southLatitude":"-53.4375"},"citation:freeKeyword":[{"citation:freeKeywordValue":"marginality"},{"citation:freeKeywordValue":"society"}],"citation:subjectRefinement":{"subjectRefinementValue":"society"},"citation:notesText":"This dataset was first published on the institutional Repository \"Zentrum für Entwicklungsforschung: ZEF Data Portal\" with ID={edee879a-5e3e-40b0-aa18-1f33d9fba015}.
\nMarginality Dimensions\nI. Economy (GNI)\nII. Quality of Life (Stunting)\nIII. Landscape Design (Accessibility)\nIV. Ecosystems (Soil Constraints)\nV. Governance (Political Stability)","title":"Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010","subject":"Other","@id":"https://doi.org/10.60507/FK2/ASXJSH","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Marginality Hotspots and Poverty Mass in Sub-Saharan Africa, 2005-2010","schema:dateModified":"Mon Sep 18 12:30:30 CEST 2023","schema:datePublished":"2023-09-18","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by-sa/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"bonndata","schema:isPartOf":{"schema:name":"ZEF: Center for Development Research","@id":"https://bonndata.uni-bonn.de/dataverse/zef","schema:isPartOf":{"schema:name":"bonndata","@id":"https://bonndata.uni-bonn.de/dataverse/bonndata-root","schema:description":"

bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.\n
bonndata is provided by the University IT and Data Center and maintained by the Research Data Service Center.\n
\nReady to get started with bonndata? \n
\nHave a look at our User Guide to get to know the bonndata workflow, tips and tricks!\n
\nQuestions? Need assistance? \n
\nGet in touch: researchdata@uni-bonn.de

\n
"}},"schema:inLanguage":"en","ore:aggregates":[{"schema:description":"","schema:name":"Margip_BMGF_Edited.gif","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":63,"@id":"doi:10.60507/FK2/ASXJSH/B0J6AQ","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1593/Margip_BMGF_Edited.gif","@type":"ore:AggregatedResource","schema:fileFormat":"image/gif","dvcore:filesize":6676,"dvcore:storageIdentifier":"file://18aa77ef8ce-91fcfb84df01","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"921410f2916b91130ce577059239f39b"}},{"schema:description":"","schema:name":"Overl_MargDimPov_300.jpg","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":63,"@id":"doi:10.60507/FK2/ASXJSH/9NFHLD","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1591/Overl_MargDimPov_300.jpg","@type":"ore:AggregatedResource","schema:fileFormat":"image/jpeg","dvcore:filesize":3488295,"dvcore:storageIdentifier":"file://18aa77ef2bc-7e5dc079a1b1","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"705d2575effa357cf6a89e299b0e4bb1"}},{"schema:description":"","schema:name":"Overlapping_MargDimPov.png","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":63,"@id":"doi:10.60507/FK2/ASXJSH/C3FUZT","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1592/Overlapping_MargDimPov.png","@type":"ore:AggregatedResource","schema:fileFormat":"image/png","dvcore:filesize":195836,"dvcore:storageIdentifier":"file://18aa77ef3c8-aa2daac36319","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"d9b81e4038019f5dd2b153cccda57d78"}},{"schema:description":"","schema:name":"metadata.xml","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":63,"@id":"doi:10.60507/FK2/ASXJSH/PLTDOA","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/1590/metadata.xml","@type":"ore:AggregatedResource","schema:fileFormat":"text/xml","dvcore:filesize":28253,"dvcore:storageIdentifier":"file://18aa77ee050-a558d58ccadf","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"0b68dd9af461f4689e062057dbffae02"}}],"schema:hasPart":["doi:10.60507/FK2/ASXJSH/B0J6AQ","doi:10.60507/FK2/ASXJSH/9NFHLD","doi:10.60507/FK2/ASXJSH/C3FUZT","doi:10.60507/FK2/ASXJSH/PLTDOA"]},"@context":{"author":"http://purl.org/dc/terms/creator","citation":"https://dataverse.org/schema/citation/","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","geospatial":"https://bonndata.uni-bonn.de/schema/geospatial#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/","subject":"http://purl.org/dc/terms/subject","subjectRefinementValue":"http://purl.org/dc/terms/subject","timePeriodCovered":"https://schema.org/temporalCoverage","title":"http://purl.org/dc/terms/title"}}