2022
DOI: 10.3390/su14137603
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Spatial Evaluation of Villages and Towns Based on Multi-Source Data and Digital Technology: A Case Study of Suining County of Northern Jiangsu

Abstract: Based on the research on the current situation and transformation path of the spatial construction of villages and towns in northern Jiangsu, “compactness” and “convenience” are extracted as the elements of spatial evaluation. With multi-source data, comprehensively using ENVI remote sensing image interpretation, GIS spatial analysis, Fragstats landscape index calculation, entropy weight–TOPSIS comprehensive evaluation, and SPSS cluster analysis, a “digital full cycle” of a research framework for the spatial e… Show more

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Cited by 11 publications
(8 citation statements)
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“…Climate change and urbanization leads to increased population movements in many parts of the world (Kam et al, 2021; Zhang, 2015), and the impact of migration on ecosystems has become a relevant topic, in particular in developing countries (Montgomery, 2008; Li et al, 2016; Ghanem, 2018; Andersson and Siegel, 2020). One of the most recent studies used global population density datasets supported by mobile phone data to track population movements in China, concluding that rural outmigration caused a large carbon sink at the national scale of China (Zhang et al, 2022a).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Climate change and urbanization leads to increased population movements in many parts of the world (Kam et al, 2021; Zhang, 2015), and the impact of migration on ecosystems has become a relevant topic, in particular in developing countries (Montgomery, 2008; Li et al, 2016; Ghanem, 2018; Andersson and Siegel, 2020). One of the most recent studies used global population density datasets supported by mobile phone data to track population movements in China, concluding that rural outmigration caused a large carbon sink at the national scale of China (Zhang et al, 2022a).…”
Section: Discussionmentioning
confidence: 99%
“…At 1 × 1 km scale, the trends in population density during 2000-2015) show that 57.6% of the study area has an increasing population density, mostly concentrated in areas of rapid urbanization like the Chengdu-Chongqing region, the Pearl River Delta region, the Wuhan city circle, and the Changsha-Zhuzhou-Xiangtan city cluster. In contrast, population density in the border area between Sichuan and Chongqing decreases.…”
Section: Temporal and Spatial Variation Of Urban And Rural Populationmentioning
confidence: 99%
“…For example, with respect to indicators, Chao et al evaluated the e-commerce labor, professional skills training, and the number of mobile phones per capita [ 55 ]. Furthermore, Zhang et al selected policy guidance, spatial compactness, and facility convenience as indicators [ 56 ], and Cao et al selected indicators such as digital infrastructure, local finance, the industrial structure, technological innovation, and educational level [ 57 ]. This study utilizes the level of digital village construction as the target layer; it utilizes institutions, human resources, and technology as sub-target layers; and it contains five criteria layers and 17 evaluation indicators.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, as a result of uncontrolled urban sprawl in the regions in question, degenerative changes in rural landscapes are gradually taking place, especially their strong homogenization [ 86 ]. Therefore, the spatial arrangement of peripheral areas of cities and suburban villages is subject to progressive, usually unfavorable transformations [ 98 , 99 ]. In this perspective, it is important to have a comprehensive understanding of peri-urban agriculture and its changes over time and space.…”
Section: Some Specific Problems We Encounter In Urbanocenosesmentioning
confidence: 99%