Researches on Land Resources Data Mining Technology based on Multi-grids

Sha Yuhong, Zhu Xin-yan, Du Daosheng
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Abstract

The traditional land-use statistics based on administrative districts can not represent the spatial differences of land-use composition entirely. By introducing spatial hierarchy and non-spatial hierarchy the Statistical Information Grid-Based method is extended then it can manage and analyze land-use statistics in virtue of a kind of multi-grid data structure. Using a part of TM images of Wuhan district some experiments are carried out: the creation of quaternary breakdown multi-grids according to the complexity of land-use structure and the landscape diversity which can be figured out by TM image; the simulation of administrative borderline using grid cells; the computation and representation of the spatial difference in cultivated land per capita of the district, these experiments indicate land-use statistics based on multi-grids can show the spatial differences of land-use composition better and make for the land resources data-mining to achieve knowledge needed.
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基于多网格的土地资源数据挖掘技术研究
传统的基于行政区划的土地利用统计不能完全反映土地利用构成的空间差异。通过引入空间层次和非空间层次,扩展了基于统计信息网格的方法,利用一种多网格数据结构对土地利用统计数据进行管理和分析。利用武汉地区的部分TM影像进行了实验研究:根据利用TM影像可识别的土地利用结构的复杂性和景观多样性,建立了第四元分解多重网格;基于网格单元的行政边界模拟通过对各区人均耕地空间差异的计算和表示,表明基于多网格的土地利用统计能够更好地反映土地利用构成的空间差异,为土地资源数据挖掘提供了必要的知识。
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