Spatial distribution of extreme poverty and mechanism of poverty differentiation in rural China based on spatial scan statistics and geographical detector

Jinghu PAN; Yaya FENG

doi:10.11821/dlxb202004008

[7] Sen A. Poverty and Famines: An Essay on Entitlement and Deprivation(1983).

[8] Pacione M. Quality of life-research in urban geography[J]. Urban Geography, 24, 314-339(2003).

[13] Liu Y, Xu Y. A geographic identification of multidimensional poverty in rural China under the framework of sustainable livelihoods analysis[J]. Applied Geography, 73, 62-76(2016).

[21] Sorensen R, Zinko U, Seibert J. On the calculation of the topographic wetness index: Evaluation of different methods based on field observations[J]. Hydrology & Earth System Sciences, 10, 101-112(2006).

[22] Ceccato P, Gobron N, Flasse S et al. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1: Theoretical approach[J]. Remote Sensing of Environment, 82, 188-197(2002).

[25] Wang J F, Li X H, Christakos G et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China[J]. International Journal of Geographical Information Science, 24, 107-127(2010).

[26] Wang J F, Zhang T L, Fu B J. A measure of spatial stratified heterogeneity[J]. Ecological Indicators, 67, 250-256(2016).

[28] Chun B, Guldmann J M. Spatial statistical analysis and simulation of the urban heat island in high-density central cities[J]. Landscape and Urban Planning, 125, 76-88(2014).

[29] Kulldorff M, Nagarwalla N. Spatial disease clusters: Detection and inference[J]. Statistics in Medicine, 14, 799-810(1995).