scholarly journals Spatial pattern evolution of rural settlements from 1961 to 2030 in Tongzhou District, China

2020 ◽  
Vol 99 ◽  
pp. 105044
Author(s):  
Wei Song ◽  
Huanhuan Li
2021 ◽  
Vol 36 (3) ◽  
pp. 659
Author(s):  
Yan-bo QU ◽  
Min LIU ◽  
Wei-ya ZHU ◽  
Ling-yun ZHAN ◽  
Zong-li PING

2019 ◽  
Vol 8 (5) ◽  
pp. 222 ◽  
Author(s):  
Beata Calka ◽  
Elzbieta Bielecka

The issue of population dataset reliability is of particular importance when it comes to broadening the understanding of spatial structure, pattern and configuration of humans’ geographical location. The aim of the paper was to estimate the reliability of LandScan based on the official Polish Population Grid. The adopted methodology was based on the change detection approach, spatial pattern and continuity analysis, as well as statistical analysis at the grid-cell level. Our results show that the LandScan data can estimate the Polish population very well. The number of grid cells with equal people counts in both datasets amounts to 10.5%. The most and highly reliable data cover 72% of the country territory, while less reliable ones cover only 4.3%. The LandScan algorithm tends to underestimate people counts, with a total value of 79,735 people (0.21%). The highest underestimation was noticed in densely populated areas as well as in the transition areas between urban and rural, while overestimation was observed in moderately populated regions, along main roads and in city centres. The underestimation results mainly from the spatial pattern and size of Polish rural settlements, namely a big number of shadowed single households dispersed over agricultural areas and in the vicinity of forests. An excessive assessment of the number of people may be a consequence of the well-known blooming effect.


2013 ◽  
Vol 23 (4) ◽  
pp. 482-491 ◽  
Author(s):  
Xiaodong Ma ◽  
Fangdao Qiu ◽  
Quanlin Li ◽  
Yongbin Shan ◽  
Yong Cao

2018 ◽  
Vol 228 ◽  
pp. 05001
Author(s):  
Qi Liu ◽  
Yiwei Zhang

Rural settlements of China are in the era of rapid information development, experiencing revolutionary changes and cultural breakthroughs. This article takes the main rural settlements in Diqing as examples and uses GIS technology as the main method, analyses spatial distribution and assembling characteristics of rural settlements. Based on this, the article extracts the spatial assembling pattern of Diqing rural settlements. Take the topography, rivers, roads and other factors, this article analyzes the causes of the spatial distribution pattern of contemporary rural settlements. The article argues that it has a great theoretical and practical significance to study the spatial pattern of rural settlements, and points out the necessity of using modern GIS technology in the rural settlement research. This method cannot be only maximum the precise analytical ability of contemporary traditional rural settlement space, but also better serve the adjustment, control and optimization design of contemporary settlements.


2019 ◽  
Vol 11 (19) ◽  
pp. 5153 ◽  
Author(s):  
Li ◽  
Song

Settlement expansion caused by urbanization is an important factor leading to the loss of arable land across the world. Due to various factors in China, such as institutional problems, the total number of rural settlements is decreasing, while the total area continues to increase. Rural settlements expand mainly into arable land, resulting in a significant loss of high-quality farmland, thus threatening long-term food security. However, research on this subject is relatively scarce. In this study, using KeyHole and RESURS F1 satellite remote sensing images, we examined the spatial expansion of rural settlements in Tongzhou District, Beijing, in 1972 and 1991. Then, the consumption of high-quality arable land by rural settlements expansion was assessed. It was found that the overall accuracy of the produced maps for 1972 and 1991 were 93% and 90%, respectively. The accuracy of mapped changes from 1972 to 1991 was as high as 90%. From 1972 to 1991 and from 1991 to 2015, the rural settlements in Tongzhou District expanded by 51.54% and 79.91% respectively, with 53.72% and 60.64% of the expanded rural settlements being on arable land. Rural settlements expanded mainly into high-quality arable land at the beginning of the study period, whereas later on, medium- and low-quality farmland was also occupied, albeit to a lesser degree.


Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1068
Author(s):  
Jizhe Zhou ◽  
Quanhua Hou

In the context of farmland afforestation and urbanization, it is necessary for the small watershed rural settlements in the hilly–gully Loess Plateau to coordinate spatiotemporal changes and take the path of resilience development. In the case of the Sanshui Watershed, this paper investigates the rural settlement systems based on complex networks, and develops a research framework of “spatial simulation–resilience evaluation–spatial planning”. The results include the evolution trends of settlement space from present to future, as well as its spatial resilience in static and dynamic states. In this study, a total of six central villages and six types of rural development are finalized, and the study area possesses a prolonged spatiotemporal resilience when 29 villages remain, thus forming an ideal spatial pattern of “rural corridor zones + characteristic towns”. The findings of this study can represent guidance for resilience development in small watershed villages and provide a basis for guiding the regional urban–rural integration, village layout, as well as resource allocation and construction.


2007 ◽  
Vol 4 (2) ◽  
pp. 146-154 ◽  
Author(s):  
Wenlan Feng ◽  
Ainong Li ◽  
Wancun Zhou

2003 ◽  
Author(s):  
Kelly A. Digian ◽  
Michael Brown

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