Journal of
Geography and Regional Planning

  • Abbreviation: J. Geogr. Reg. Plann.
  • Language: English
  • ISSN: 2070-1845
  • DOI: 10.5897/JGRP
  • Start Year: 2008
  • Published Articles: 389

Full Length Research Paper

A grid-based approach for refining population data in rural areas

Dulal Chandra Roy
  • Dulal Chandra Roy
  • Ministry of Planning, Government of Bangladesh, Sher-e-Bangla Nagar, Dhaka 1207, Bangladesh.
  • Google Scholar
Thomas Blaschke
  • Thomas Blaschke
  • Department of Geoinformatics - Z_GIS, University of Salzburg, Hellbrunnerstrasse 34, Salzburg 5020, Austria.
  • Google Scholar


  •  Received: 21 August 2013
  •  Accepted: 15 April 2014
  •  Published: 31 May 2014

References

Aubrecht C, Levy M, De Sherbinin A, Yetman G, Jaite M, Steinnocher K, Metzler S (2010a). Refinement of regionally modeled coastal zone population data enabling more accurate vulnerability and exposure assessments. Proceedings of International Disaster and Risk Conference IDRC 2010, Davos, Switzerland. http://www.slideshare.net/GRFDavos/refinement-of-regionally-modeled-coastal-zone-population-data-enabling-more-accurate-vulnerability-and-exposure-assessments
 
Aubrecht C, Yetman G, Balk D, Steinnocher K (2010b). What is to be expected from broad-scale population data? Showcase accessibility model validation using high-resolution census information. Proceedings of the 13th AGILE International Conference on Geographic Information Science, 2010, Guimaraes, Portugal. http://www.agile-online.org/Conference_Paper/CDs/agile_2010/ShortPapers_PDF/92_DOC.pdf
 
Aubrecht C, Özceylan D, Steinnocher K, Freire S (2013). Multi-level geospatial modeling of human exposure patterns and vulnerability indicators. Natural Hazards 68(1):147–163. http://link.springer.com/article/10.1007%2Fs11069-012-0389-9
http://dx.doi.org/10.1007/s11069-012-0389-9
 
Balk DL, Deichmann U, Yetman G, Pozzi F, Hay SI, Nelson A (2006). Determining Global Population Distribution: Methods, Applications and Data. Adv. Parasitol. 62:119-156. http://dx.doi.org/10.1016/S0065-308X(05)62004-0
http://dx.doi.org/10.1016/S0065-308X(05)62004-0
 
BBS (2001). Bangladesh National Population Census 2001. Bangladesh Bureau of Statistics (BBS), Statistics and Informatics Division, Ministry of Planning, Government of Bangladesh, Dhaka. http://www.bbs.gov.bd/PageSearchContent.aspx?key=Statistics%20and%20Informatics%20Division,%20Ministry%20of%20Planning,%20Government%20of%20Bangladesh,%20Dhaka
 
CIESIN (Center for International Earth Science Information Network) (2005). Gridded population of the world (GPW). V3 [online], New York, Columbia University, USA. http://sedac.ciesin.columbia.edu/data/set/gpw-v3-centroids
 
Deichmann U (1996). A review of spatial population database design and modeling. Technical Report 96-3, National Center for Geographic Information and Analysis, Santa Barbara, USA. http://www.amazon.com/spatial-population-database-modeling-Technical/dp/B0006QNF7I
 
Deichmann U, Balk D, Yetman G (2001). Transforming population data for interdisciplinary usages: from census to grid. http://sedac.ciesin.columbia.edu/gpw-v2/GPWdocumentation.pdf
 
Elvidge CD, Sutton PC, Ghosh T, Tuttle BT, Baugh KE, Bhaduri B, Bright E (2009). A global poverty map derived from satellite data. Comput. Geosci. 35(8):1652-1660. http://dx.doi.org/10.1016/j.cageo.2009.01.009
http://dx.doi.org/10.1016/j.cageo.2009.01.009
 
Gaughan AE, Stevens FR, Linard C, Jia P, Tatem AJ (2013). High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS ONE 8(2):e55882.
http://dx.doi.org/10.1371/journal.pone.0055882
 
Gallego FJ, Batista F, Rocha C, Mubareka S (2011). Disaggregating population density of the European Union with CORINE land cover. Int. J. Geogr. Inform. Sci. 25(12):2051-2069.
http://dx.doi.org/10.1080/13658816.2011.583653
 
Hall O, Duit A, Caballero L (2008). World poverty, environmental vulnerability and population at risk for natural hazards. J. Maps 151-160.
 
Hall O, Stroh E, Paya F (2012). From census to grids: comparing gridded population of the world with Swedish census records. The Open Geogr J. 5:1-5.
http://dx.doi.org/10.2174/1874923201205010001
 
Kienberger S (2012). Spatial modelling of social and economic vulnerability to floods at the district level in Buzi, Mozambique. Natural Hazards 64(3):2011-2019.
http://dx.doi.org/10.1007/s11069-012-0174-9
 
Kienberger S, Lang S, Zeil P (2009). Spatial vulnerability units - experts based spatial modeling of socio-economic vulnerability in the Salzach catchment, Austria. Natural Hazards and Earth System Sciences, 9:767-778.
http://dx.doi.org/10.5194/nhess-9-767-2009
 
Land Scan (2010). Land Scan documentation. Oak Ridge National Laboratory (ORNL), USA, http://www.ornl.gov/sci/landscan/landscan_documentation.shtml.
 
Linard C, Gilbert M, Tatem AJ (2010). Assessing the use of global land cover data for guiding large area population distribution modeling. Geojournal, 76(5):525-538.
http://dx.doi.org/10.1007/s10708-010-9364-8
 
Linard C, Gilbert M, Snow RW, Noor AM, Tatem AJ (2012). Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS ONE 7(2):e31743.
http://dx.doi.org/10.1371/journal.pone.0031743
 
Mirella S, Pozzi F, Ataman E, Huddlestone B, Bloise M (2005). Mapping global urban and rural population distributions. Environment and Natural Resources Series, 24, FAO, Rome.
 
MODMR (Ministry of Disaster Management and Relief) (2008). National Plan for Disaster Management 2008-2015. Ministry of Disaster Management and Relief, Dhaka, Bangladesh.
 
Mondal P, Tatem AJ (2012). Uncertainties in measuring populations potentially impacted by sea level rise and coastal flooding. PLoS ONE 7(10):e48191.
http://dx.doi.org/10.1371/journal.pone.0048191
 
Rafiq L, Blaschke T (2012). Disaster risk and vulnerability in Pakistan at a district level. Geomatics, Natural Hazards Risk 3(4):324-341.
http://dx.doi.org/10.1080/19475705.2011.626083
 
Roy DC, Blaschke T (in press). Spatial vulnerability assessment of floods in the coastal regions of Bangladesh. Geomatics, Natural Hazards and Risk. http://dx.doi.org/10.1080/19475705.2013.816785
http://dx.doi.org/10.1080/19475705.2013.816785
 
Schneiderbauer S (2007). Risk and vulnerability to natural disasters – from broad view to focused perspective: theoretical background and applied methods for the identification of the most endangered populations in two case studies at different scales. PhD Dissertation, Free University of Berlin, Germany. http://edocs.fu-berlin.de/diss/servlets/MCRFileNodeServlet/FUDISS_derivate_000000003126/00_Schneiderbauer.pdf?hosts=
 
Scholz J, Andorfer M, Mittlböck M (2013). Spatial Accuracy Evaluation of Population Density Grid Disaggregations with Corine Land cover. Geographic Information Science at the Heart of Europe, Berlin, Heidelberg: Springer pp.267-283. http://link.springer.com/chapter/10.1007%2F978-3-319-00615-4_15
http://dx.doi.org/10.1007/978-3-319-00615-4_15
 
Sweitzer J, Langaas S (1995). Modelling population density in the Baltic Sea states using the digital chart of the world and other small scale datasets. In: Gudelis V, Povilanskas R, Roepstorff A (eds) Coastal conservation and management in the Baltic region: Proceedings of the EUCC-WWF conference, 2-8 May 1994, Riga-Klaipeda-Kaliningrad, pp.257-267.
 
Tatem AJ, Linard C (2011). Population mapping of poor countries. Nature 474:36.
http://dx.doi.org/10.1038/474036d
 
Tatem AJ, Noor AM, Hagen CV, Gregorio AD, Hay SI (2007). High resolution population maps for low income nations: combining land cover and census in East Africa. PLoS ONE 2007(2):e1298.
http://dx.doi.org/10.1371/journal.pone.0001298
 
Tobler W, Deichmann U, Gottsegen J, Maloy K (1997). World population in a grid of spherical quadrilaterals. Int. J. Popul.Geogr. 3:203-225.
http://dx.doi.org/10.1002/(SICI)1099-1220(199709)3:3<203::AID-IJPG68>3.0.CO;2-C
http://dx.doi.org/10.1002/(SICI)1099-1220(199709)3:3<203::AID-IJPG68>3.3.CO;2-3