地球信息科学学报 ›› 2015, Vol. 17 ›› Issue (6): 705-612.doi: 10.3724/SP.J.1047.2015.00705

• 地理空间分析综合应用 • 上一篇    下一篇

土地变更调查数据库质量评价及其错误空间自相关分析——以河北省为例

王修贵1,3, 杨建宇1,3, 朱德海1,3,*(), 岳彦利1,3, 白晓飞2, 张嘉2   

  1. 1. 中国农业大学信息与电气工程学院,北京 100083
    2. 中国土地勘测规划院,北京 100035
    3. 国土资源部农用地质量与监控重点实验室,北京 100035
  • 收稿日期:2015-02-06 修回日期:2015-02-16 出版日期:2015-06-10 发布日期:2015-06-10
  • 通讯作者: 朱德海 E-mail:zhudehai@263.net
  • 作者简介:

    作者简介:王修贵(1991-),女,硕士生,研究方向为空间分析、时序关联规则挖掘。E-mail: xgw@cau.edu.cn

  • 基金资助:
    国家自然科学基金项目(41171309)

Quality Evaluation and Error Spatial Autocorrelation Analysis of Land Change Survey Database: A Case Study of Hebei Province

WANG Xiugui1,3, YANG Jianyu1,3, ZHU Dehai1,3,*(), YUE Yanli1,3, BAI Xiaofei2, ZHANG Jia2   

  1. 1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
    2. China Land Surveying and Planning Institute, Beijing 100035, China
    3. Key Laboratory for Agricultural Land Quality, Monitoring and Control of the Ministry of Land and Resources, Beijing 100035, China
  • Received:2015-02-06 Revised:2015-02-16 Online:2015-06-10 Published:2015-06-10
  • Contact: ZHU Dehai E-mail:zhudehai@263.net
  • About author:

    *The author: SHEN Jingwei, E-mail:jingweigis@163.com

摘要:

评价土地变更调查数据库质量,研究数据库错误产生的原因是变更调查工作中的关键问题。本文采用对比分析法定量分析3年间数据库质量变化,并运用全局Moran's I系数、局部Moran's I系数,从县域尺度分析数据库错误的空间自相关格局,揭示数据库错误空间分布变化和局部异常特征。研究结果表明:(1)从错误数量、缺陷等级、错误分布图层和空间分布方面进行评估,河北省2012年数据库质量相较于2010年和2011年得到明显改善;(2)河北省各区县错误分布保持高度自相关,聚集程度波动变化,而局部显著性异常区域的出现主要源于人为误操作。通过研究数据库质量3年间变化情况及空间分布格局,能客观地评价数据库质量状况,有效地分析错误产生的原因,为新一轮土地变更调查工作提供建设性意见。

关键词: 土地变更调查, 质量评价, 空间自相关, 河北省

Abstract:

Land change survey is an important survey for investigating national conditions and national strength. The purpose of land change survey are: identify the nationwide land use status and changes in the year of concern; maintain the accuracy and timeliness of national land survey data and the basic information of the comprehensive land and resource supervision platform; and meet the requirements of land and resource management as well as economic and social development. Officially released land change survey results are the basis for the implementation of planning, management, protection and reasonable utilization of land and resources, the strategic planning of national economic and social development, and other relevant special-purpose plans. There still are problems that need to be solved, such as how to ensure the authenticity and accuracy of land change survey results, how to improve the work efficiency of land change survey with new technology, and how to shorten the error modification time. The purpose of this paper is to evaluate the quality of land change survey database and analyze the causes of database errors. For a quantitative analysis of the changes of database quality in 2010, 2011 and 2012, comparative methods were employed. Methods known as Moran's I and local Moran's I were adopted to analyze the spatial dependence in observations of database errors among administrative units, and to reveal the change of spatial distribution and the anomaly characteristics of database errors in local areas. To be specific, five steps are required for quality evaluation and pattern analysis. Firstly, the descriptive chart of original errors at the county level is processed in batch transaction by software, and then is aggregated into database tables. Secondly, since the quality inspection rules were found inconsistent among 2010, 2011 and 2012, it is impossible to use a comparison analysis method, thus we preprocessed the data and acquired the common quality inspection rules for the three-year period. The third step is to use the comparison analysis method to assess the database quality from different aspects, including the defect levels, the main check items of errors and the spatial distribution. The fourth step is to define the database errors by observing through the global autocorrelation method in analyzing the land change survey of Hebei province, and obtaining the spatial distribution characteristics and the influential factors of database errors. Finally, the spatial pattern of the phenomenon was reflected and the causes of database errors were explained. The results showed that the quality of the database of Hebei province in 2012 have been improved significantly according to the number of errors, the defect levels and the spatial distributions in assessment. In addition, the distribution of Hebei’s database errors were high autocorrelated with the fluctuation of aggregation level, while the generation of local anomaly was usually derived from artificial error. It is concluded that throughout the quality analysis of the research database and its space distribution pattern in three years, we can evaluate the changes of database quality objectively and identify the causes of database errors effectively, therefore provide a forecasting and monitoring approach to new land change surveys.

Key words: land change survey, quality assessment, spatial autocorrelation, Hebei province