Data on agricultural and nonagricultural land use in peri-urban and rural area
Data on agricultural and nonagricultural land use in peri-urban and rural area
复制标题
城郊和农村地区农业和非农业土地利用数据
DOI：
10.1016/j.dib.2019.103804
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发表时间：
2019
期刊：
影响因子：
1.2
通讯作者：
S. A. Budiman
中科院分区：
文献类型：
--
作者：
M. Rondhi;P. A. Pratiwi;V. T. Handini;A. F. Sunartomo;S. A. Budiman
本文中的数据描述了印度尼西亚东爪哇省Jember区城郊和农村地区的土地利用特征。数据中涵盖的土地使用类型为农业用地和住宅用地。这些数据是农业企业系、土壤科学系和约翰内斯堡大学农业推广系之间合作研究的结果。数据收集的总体目的是比较城市周边和农村地区不同土地利用的特点。通过对城乡结合部不同土地利用方式的经济租金的分析，揭示了农地非农化的动态变化规律，并对城乡结合部农户的农地分配进行了研究。这些数据包括城市周边和农村地区土地使用的技术和社会经济方面。这些数据是通过对每个地区的农民和房主进行结构化访谈收集的。共对100名农民和房主进行了200次采访。每名受访者的位置都被记录下来，并带有全球定位系统的位置标记功能，以代表样本的分布情况。全球定位系统的跟踪功能被用来确定灌溉渠、道路和市场等有形基础设施的位置。这些数据总共包含29个变量，并作为本数据文章的补充材料附上。
The data in this article describes the land use characteristics at peri-urban and rural areas, on Jember District, in the Province of East Java, Indonesia. The types of land use covered in the data are agricultural and residential land. The data was a result of a research collaboration between the Department of Agribusiness, Department of Soil Science, and the Department of Agricultural Extension in the University of Jember. The general purpose of the data collection was to compare the characteristics of different land use in the peri-urban and rural area. The data has been compiled to investigate the economic rent of varying land use in peri-urban and rural areas to explain the dynamic of farmland conversion, and to investigate the farmland distribution among farmer in the peri-urban area. The data contains technical and socio-economic aspects of land use in peri-urban and rural areas. The data were collected through structured interviews with farmers and homeowners in each area. A total of 200 interviews were conducted to 100 farmers and homeowners. The location of each respondent was recorded with the location-marking feature of the GPS to represent the distribution of samples. The tracking feature of the GPS was used to locate the physical infrastructure such as irrigation canal, road, and market. In total, the data contained 29 variables and attached as the supplementary material of this data article.