Hongkun Xie , Minghua Huang , Wentao Lei , Yang Wang , Lu Ou
{"title":"Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi","authors":"Hongkun Xie , Minghua Huang , Wentao Lei , Yang Wang , Lu Ou","doi":"10.1016/j.bdr.2024.100458","DOIUrl":null,"url":null,"abstract":"<div><p>To analyze and evaluate the conditions and distribution characteristics of rural land resources in northern Shaanxi. The experiment extracts two terrain feature values, namely slope and undulation, which are highly correlated with land resources. Then, the extraction results of all 302-township level administrative regions in northern Shaanxi are processed, and the scoring results of all township level units are sorted. Based on this, optimization and adjustment are made to form a classification result. The experimental results show that land resources in primary townships are most scarce, mainly distributed in the central and western regions of northern Shaanxi, with 53 in Yan'an and 7 in Yulin; Land resources in secondary townships are relatively scarce, mainly distributed along the Yellow River in the central and southern parts of northern Shaanxi, with 40 in Yan'an and 53 in Yulin; The land resources of third level townships are relatively abundant, generally distributed along the Great Wall, and belong to the transitional zone between windblown sand and grassland areas and hilly and gully areas. Except for one third level township located in Yan'an, all 22 other townships are located in Yulin; The fourth level townships have abundant land resources and are located in the loess plateau landform area in the southern part of northern Shaanxi. They belong to Yan'an Luochuan and three surrounding counties, totaling 17 townships; The terrain of the fifth and sixth level townships is flat, and the land resources are the most abundant. They belong to the sandy and grassy terrain north of the Great Wall in northern Shaanxi. A total of 56 townships are located in 7 county-level administrative regions of Yulin City. The experimental results lay the foundation for the research on optimizing the spatial pattern of rural life in northern Shaanxi, and can also provide support for classified guidance and precise policy implementation for rural revitalization, agricultural industry policy formulation, human settlement environment construction, and ecological environment protection.</p></div>","PeriodicalId":56017,"journal":{"name":"Big Data Research","volume":"36 ","pages":"Article 100458"},"PeriodicalIF":3.5000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data Research","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214579624000340","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
To analyze and evaluate the conditions and distribution characteristics of rural land resources in northern Shaanxi. The experiment extracts two terrain feature values, namely slope and undulation, which are highly correlated with land resources. Then, the extraction results of all 302-township level administrative regions in northern Shaanxi are processed, and the scoring results of all township level units are sorted. Based on this, optimization and adjustment are made to form a classification result. The experimental results show that land resources in primary townships are most scarce, mainly distributed in the central and western regions of northern Shaanxi, with 53 in Yan'an and 7 in Yulin; Land resources in secondary townships are relatively scarce, mainly distributed along the Yellow River in the central and southern parts of northern Shaanxi, with 40 in Yan'an and 53 in Yulin; The land resources of third level townships are relatively abundant, generally distributed along the Great Wall, and belong to the transitional zone between windblown sand and grassland areas and hilly and gully areas. Except for one third level township located in Yan'an, all 22 other townships are located in Yulin; The fourth level townships have abundant land resources and are located in the loess plateau landform area in the southern part of northern Shaanxi. They belong to Yan'an Luochuan and three surrounding counties, totaling 17 townships; The terrain of the fifth and sixth level townships is flat, and the land resources are the most abundant. They belong to the sandy and grassy terrain north of the Great Wall in northern Shaanxi. A total of 56 townships are located in 7 county-level administrative regions of Yulin City. The experimental results lay the foundation for the research on optimizing the spatial pattern of rural life in northern Shaanxi, and can also provide support for classified guidance and precise policy implementation for rural revitalization, agricultural industry policy formulation, human settlement environment construction, and ecological environment protection.
期刊介绍:
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.