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231006 ||| eng |
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|a Endara, Joaquin
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| 245 |
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|a Data Triangulation Strategies to Design a Representative Household Survey of Hosts and Rohingya Displaced in Cox's Bazar, Bangladesh
|h Elektronische Ressource
|c Joaquin Endara
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| 260 |
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|a Washington, D.C
|b The World Bank
|c 2022
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| 300 |
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|a 23 pages
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| 653 |
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|a Cartography
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| 653 |
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|a Science and Technology Development
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| 653 |
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|a GIS
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| 653 |
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|a Maps
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| 653 |
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|a Geospacial Information
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| 653 |
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|a Displaced Population
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| 653 |
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|a International Economics and Trade
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| 653 |
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|a Earth Sciences and GIS
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|a Khan, Afsana Iffat
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| 700 |
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|a Munoz, Juan Eduardo
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| 700 |
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|a Genoni, Maria Eugenia
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b WOBA
|a World Bank E-Library Archive
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| 028 |
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|a 10.1596/1813-9450-10040
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| 856 |
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|u http://elibrary.worldbank.org/doi/book/10.1596/1813-9450-10040
|x Verlag
|3 Volltext
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|a 330
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|a Obtaining representative information on hosts and displaced populations in a single survey is not straightforward. This paper demonstrates the value of combining traditional and nontraditional sampling frames, geospatial information, and listing exercises to design a representative survey of hosts and Rohingya displaced populations in Cox's Bazar, Bangladesh. The paper applies innovative segmentation techniques using geospatial data to delimit enumeration areas in the absence of updated cartography. The paper also highlights the importance of listing exercises to inform stratification decisions and update population counts
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