By establishing mathematical models in the range, quantitative and spatial dynamic change, trend and state index of LUCC, the spatial-temporal characteristics of LUCC can be deeply studied.
通过建立研究区LUCC幅度、LUCC数量和空间变化模型以及趋势与状态指数模型，很好的表现了研究区LUCC的时空特征。
While on the basis of analyse on spatial and temporal characters of SO_2 Concentration in Xi 'an city, the reasons for the trend of changes in the initial exploration are carried out.
同时在对西安市SO_2浓度时空分布特征分析的基础上，对其特异变化趋势的产生原因进行了初步探讨。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
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