Abstract In 2011, there are more than 100 million poor people in China and they are mainly distributed in fourteen large poverty-stricken areas. China has been viewing the development-oriented poverty reduction work for the purpose of eliminating poverty as state-level strategic target, and the poverty reduction will play an important role in the new round of urbanization of China. To meet the requirement of “Entire-village Advancement” in Outline for Development-oriented Poverty Reduction for China's Rural Areas (2011-2020), this paper first analyzes the spatial pattern variation characteristics of the villages with the change of distance in each poverty-stricken area by Ripley's K function and estimates the spatial pattern of villages in each county by Average Nearest Neighbor ratio. Then the relationships between poverty-stricken villages and their impact factors of DEM, water, railway and main-road are investigated. Results provide a good understanding of village's spatial pattern in different poverty-stricken areas and counties and relationships between village distribution and its impact factors, which provides an important decision basis for “Entire-village Advancement” in poverty reduction.
[1]
Maggi Kelly,et al.
Characterizing spatial-temporal tree mortality patterns associated with a new forest disease
,
2007
.
[2]
David Ebdon,et al.
Statistics in geography
,
1986
.
[3]
Yan-sui Liu,et al.
Potential of land consolidation of hollowed villages under different urbanization scenarios in China
,
2013,
Journal of Geographical Sciences.
[4]
Peter J. Diggle,et al.
Statistical analysis of spatial point patterns
,
1983
.
[5]
B. Ripley.
Modelling Spatial Patterns
,
1977
.
[6]
Liu Yansui,et al.
The process and driving forces of rural hollowing in China under rapid urbanization
,
2010
.
[7]
Yingcheng Li,et al.
Assessing the spatial and temporal differences in the impacts of factor allocation and urbanization on urban–rural income disparity in China, 2004–2010
,
2014
.
[8]
X. Bai,et al.
Society: Realizing China's urban dream
,
2014,
Nature.