Comparar métodos

	Heterogeneidad Espacial Estratificada	Muestreo Sistemático
Campo	Muestreo	Metodología de encuestas
Familia	Process / pipeline	Process / pipeline
Año de origen	2010	Mid-20th century (Cochran 1953; Kish 1965)
Autor original	Jinfeng Wang	William G. Cochran; formalized in survey sampling theory
Tipo	Geographical detection and stratification method	Probability sampling design
Fuente seminal	Wang, J. F., Li, X. H., Christakos, G., Liao, Y. L., Zhang, T., & Gu, X. (2010). Geographical detectors–based health risk assessment and its application in the neural tube defects study for the C–H plane. International Journal of Geographical Information Science, 24(1), 107–127.	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Alias	Geodetector, GeoDetector	interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Relacionados	3	5
Resumen	Spatial Stratified Heterogeneity, commonly known as Geodetector, is a framework introduced by Jinfeng Wang and colleagues in 2010 for measuring and detecting spatial heterogeneity in data and identifying environmental risk factors. It quantifies the degree to which a given factor (variable) explains spatial variation in an outcome and is particularly valuable for environmental epidemiology, ecology, and geographical analysis where spatial non-stationarity is common.	Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.