Area sampling frame

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An area sampling frame is an alternative to the most traditional type of sampling frames.

A sampling frame is often defined as a list of elements of the population we want to explore through a sample survey. A slightly more general concept considers that a sampling frame is a tool that allows the identification and access to the elements of the population, even if an explicit list does not exist. [1] Traditional sampling frames are sometimes referred to as list frames [2] [3]

In many cases, suitable lists are not available. This can happen for several reasons, for example:

Area sampling frames are generally defined by two elements:

Fields of application

The oldest field of application area sampling frames has been probably forest inventories, one of the fields with the most obvious geographic component in which the traditional list frame approach cannot be applied. For the same reason, area frames appear as a natural tool for many environmental topics, such as soil surveys and other topics that require spatial statistics tools.

Different area frame approaches have been widely discussed and compared for agricultural statistics. In the 1930's the of the National Agricultural Statistical Service of the US Department of Agriculture introduced area sampling frames for the estimation of crop area and yield on the basis of a sample of areal units (segments [4] ). The French Teruti survey [6] chose in the 1960's an approach based on a systematic sample of clusters of points. The Italian AGRIT survey has explored different approaches, comparing segment and point methods. [7] The Joint Research Centre of the EC has conducted a large number of studies on area sampling frame methodology and area frame surveys for agricultural, forestry, environmental and human settlement studies. [8] [9]

The soaring number of applications of satellite images has boosted the interest on area sampling frames, not only because of the use of remote sensing for statistics and because the integration of satellite images has improved the quality of samplig frames and related estimators, [10] but also because satellite images may need to be sampled. [5] [11] Validation of thematic maps produced by satellite image analysis has become one of the main application fields of area sampling frames [12]

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References

  1. 1 2 "Handbook on Master Sampling Frames for Agricultural Statistics". docplayer.net. Retrieved 2023-12-11.
  2. ↑ Turner, Anthony G. (5 December 2003). "Sampling frames and master samples" (PDF). Millenium development goals indicators. Retrieved January 6, 2024.
  3. ↑ Carfagna, Elisabetta (2015). "Combining list frames with different kinds of area frame" (PDF). International Statistical Institute, 60th ISI World Statistics Congress Proceedings. Retrieved January 6, 2024.
  4. 1 2 Boryan, Claire; Yang, Zhengwei; Di, Liping; Hunt, Kevin (November 2014). "A New Automatic Stratification Method for U.S. Agricultural Area Sampling Frame Construction Based on the Cropland Data Layer". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7 (11): 4317–4327. Bibcode:2014IJSTA...7.4317B. doi:10.1109/JSTARS.2014.2322584. ISSN   1939-1404. S2CID   11727236.
  5. 1 2 Gallego, Francisco Javier (2012-03-20). "The efficiency of sampling very high resolution images for area estimation in the European Union". International Journal of Remote Sensing. 33 (6): 1868–1880. Bibcode:2012IJRS...33.1868G. doi:10.1080/01431161.2011.602993. ISSN   0143-1161. S2CID   128680455.
  6. ↑ Chakir, Raja; Laurent, Thibault; Ruiz-Gazen, Anne; Thomas-Agnan, Christine; Vignes, Céline (November 2016). "Spatial scale in land use models: Application to the Teruti-Lucas survey". Spatial Statistics. 18: 246–262. Bibcode:2016SpaSt..18..246C. doi:10.1016/j.spasta.2016.06.009.
  7. ↑ Benedetti, Roberto, ed. (2010). Agricultural survey methods: based on papers presented at the 1998, 2001, 2004 and 2007 International Conferences on Agricultural Statistics. Chichester: Wiley. ISBN   978-0-470-74371-3.
  8. ↑ Gallego Pinilla, Francisco (2015). Area Sampling frames for Agricultural and Environmental Statistics: Short guidelines for developing countries. Luxembourg: Publications Office of the European Union. pp. 3–25. ISBN   978-92-79-54000-4.
  9. ↑ Tenerelli, Patrizia; Gallego, Javier F.; Ehrlich, Daniele (September 2015). "Population density modelling in support of disaster risk assessment". International Journal of Disaster Risk Reduction. 13: 334–341. Bibcode:2015IJDRR..13..334T. doi:10.1016/j.ijdrr.2015.07.015.
  10. ↑ Carfagna, Elisabetta; Gallego, F. Javier (2006-12-14). "Using Remote Sensing for Agricultural Statistics". International Statistical Review. 73 (3): 389–404. doi:10.1111/j.1751-5823.2005.tb00155.x. S2CID   15112469.
  11. ↑ Achard, Frédéric; Eva, Hugh D.; Stibig, Hans-Jürgen; Mayaux, Philippe; Gallego, Javier; Richards, Timothy; Malingreau, Jean-Paul (2002-08-09). "Determination of Deforestation Rates of the World's Humid Tropical Forests". Science. 297 (5583): 999–1002. Bibcode:2002Sci...297..999A. doi:10.1126/science.1070656. ISSN   0036-8075. PMID   12169731. S2CID   46315941.
  12. ↑ Olofsson, Pontus; Foody, Giles M.; Herold, Martin; Stehman, Stephen V.; Woodcock, Curtis E.; Wulder, Michael A. (2014-05-25). "Good practices for estimating area and assessing accuracy of land change". Remote Sensing of Environment. 148: 42–57. Bibcode:2014RSEnv.148...42O. doi:10.1016/j.rse.2014.02.015. ISSN   0034-4257.
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