Geospatial Techniques in Health Survey to Overcome the Lack of Sampling Frame

Elangovan A., Elavarsu G., Ezhil R., Prabu R., Yuvaraj J., (doi: 10.23953/cloud.ijarsg.78)

Abstract


Sampling frame is a complete list of items or population from which a sample is drawn. More often researchers face difficulties in getting an up to date line list of sampling units, especially in the field where rapid changes are frequent. In household surveys it is difficult as newly constructed houses are seen as a continuous process in urban as well as rural areas. To overcome this issue, in this paper, we proposed a novel method by using Google-Earth with the GIS technologies. A study was done with the primary objective to identify the health impact of people living in and around quarries/crusher units at Thiruneermalai region nearer to Chennai. Since the boundary of the study area is found to be radial, it was difficult in getting the complete line list of the people living within the required radius. To overcome the issue the entire region was divided into small 30 x 30 meter grid cells. A total of 43652 sampling units (grid cells) formed the sampling frame. Among them, the required sample size was selected for the study. This method of GIS based grid sampling serve as an alternate tool for developing sampling frame with no or least cost.



Keywords


Geographical Information System; Grid Sampling; Sampling Frame

Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)