Spatial Sampling Design for a Demographic and Health Survey

Kumar, Naresh

doi:10.1007/s11113-007-9044-7

Cited by 48 publications

(39 citation statements)

References 27 publications

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“…Baba Soumare et al used computer software which randomly select a site to identify sheep/goats from that particular site [20], which may lead to have more number of empty points requiring more man power to search for a valid site/point and does not provide a complete sampling frame as large portion of areas are not been selected. Similar approach of creating random points was used by Kumar N. [5] to identify a household. These procedures may effective for collecting samples from ground water, soil, ambient air etc.…”

Section: Discussionmentioning

confidence: 99%

“…The recent advances in technology related to Geographical Information System (GIS) and spatial analysis has paved way for overcoming limitations in the random sampling method. The GIS technology is being widely used in sampling natural resources and phenomena such as geological surveys, plant sampling, mineral deposition, bio-fuel exploration etc [5]. Spatial sampling does not rely on the sampling frame and building the sampling frame is not feasible in these cases.…”

Section: Introductionmentioning

confidence: 99%

“…Spatial sampling does not rely on the sampling frame and building the sampling frame is not feasible in these cases. Sampling frame is Open Access Methodology Article constructed in the spatial sampling by dividing the overlaid pattern into a defined number of units/grids/cells [5].…”

Section: Introductionmentioning

confidence: 99%

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

Arumugam

Elavarsu

Ezhil

et al. 2016

IJARSG

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Arumugam

Elavarsu

Ezhil

et al. 2016

IJARSG

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“…Adicionalmente los factores de elevación, calibrados para los municipios, serán representativos a esta escala, pero no tienen por qué serlo a nivel de celda. Estos aspectos de diseño muestral espacial (Kumar, 2012;Wang, Stein, Gao y Ge, 2012) no han sido tenidos en cuenta, lo que tiene cierto impacto sobre los resultados finales, tanto en términos de celdas habitadas como de población residente en las mismas. La figura 9 trata de ilustrar visualmente esta idea, y proporciona cierta intuición del elevado número de 'falsos negativos', así como de la magnitud de error relativo de GEOSTAT2011 en comparación con la grid de la Comunidad de Madrid, tal y como se muestra en la figura 8.…”

Section: Figura 8 Descomposición Del Error Relativo En Tres Componentunclassified

<em>Grid</em> poblacional 2011 para España. Evaluación metodológica de diversas posibilidades de elaboración

Gisbert

Martí

2017

Estud. geogr.

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RESUMENEste trabajo presenta una evaluación, desde el punto de vista del usuario, de la malla regular (grid) de población, con resolución de 1 km 2 , que el Instituto Nacional de Estadística (INE) ha hecho pública a partir de los resultados del Censo de Población y Viviendas 2011. Esta forma de difusión de resultados resulta muy novedosa y ofrece un gran valor analítico. Por primera vez esta información sobre la distribución espacial de la población se ha generado desde abajo (bottom-up) para el conjunto de España, es decir, a partir del conocimiento de las coordenadas de cada hogar, considerando como tales las del edificio donde reside. La disponibilidad de otra grid con idéntica resolución, elaborada por métodos de desagregación espacial a partir de la población censal por unidades administrativas e información auxiliar sobre coberturas del suelo (top-down), nos permite examinar las mejoras asociadas a la georreferenciación de la población acometida en el contexto de los cambios metodológicos del censo de 2011. De forma simultánea ello nos permite analizar las bondades de la grid censal.

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“…However, analysis at the scale of the tract is unable to take into account geographic proximity at the level of the individual household and social scientists have begun to recognize the importance of the individual level analysis (Kumar 2007;Almquist and Butts 2012;Matthews and Parker 2013;Kumar, White, and Singh 2013). Furthermore, alternative zoning or a different scale often yields different results.…”

Section: Introductionmentioning

confidence: 99%