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Multidimensional Information Analysis of Land Circulation Based on Right to Rural Land Contractual Management Registration: Taking Xin Town as an Example

机译:基于农村土地承包经营权登记的土地流转多维信息分析-以新城镇为例

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The land circulation informationization is the basis for the agricultural land big data collection, and its multidimensional information management is necessary for agricultural land use. Data of the right to rural land contractual management registration makes the land and its interrelated information clearly, as contractor, area and position by Geographic Information Systems (GIS). In this paper, we discussed how to combine that data with the land circulation information for multidimensional and precise spatial-temporal management, and to excavate and visualize the results, in order to support the agricultural land use plan. Taking Xin Town as an example, which located in the southeast of Naiman, Tongliao, Inner Mongolia, based on its data of the right to rural land contractual management registration in 2015, we made a survey to get the land circulation information including the use of parcels and assignors from 1997 to 2015. Using ArcGIS 10.4 for spatial query, spatial-temporal analysis and spatial auto-correlation analysis to process data, we researched information management from land, people and economy. Then we tried to excavate and visualize the data, including land circulation parcels and their spatial-temporal evolution, the population and age distribution of the assignors, the relationship between transferred land and migrant workers, the relationship between transferred land and its price. Our results show that the parcels were fragmented by topography restrictions. The scope of land circulation was gradually increased from 8hm
机译:土地流转信息化是农地大数据采集的基础,其多维信息管理对于农用地的使用是必不可少的。农村土地承包经营权登记的数据清楚地显示了土地及其相关信息,包括地理信息系统(GIS)的承包人,区域和位置。在本文中,我们讨论了如何将这些数据与土地流转信息相结合,以进行多维和精确的时空管理,并对结果进行挖掘和可视化,以支持农业用地计划。以内蒙古通辽奈曼市东南部的新镇为例,根据其2015年农村土地承包经营权登记数据,我们进行了调查,以获取包括从1997年到2015年的包裹和分配者。使用ArcGIS 10.4进行空间查询,时空分析和空间自相关分析来处理数据,我们研究了土地,人和经济方面的信息管理。然后,我们尝试挖掘和可视化数据,包括土地流转地块及其时空演变,转让人的人口和年龄分布,转让土地与农民工之间的关系,转让土地与其价格之间的关系。我们的结果表明,地块被地形限制所分割。土地流转范围从8hm逐渐增加

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