统计专题地图分级数据处理模型设计

Statistical Thematic Map Data Processing Model Design

科学合理地确定统计数据的分级界线是制作统计专题图的前提。本文设计实现了可扩充的统计专题地图分级数据处理模型，支持分位数、最优分割、逐步聚类等目前常用的七种分级方法，详细介绍了使用模型进行分级数据处理的工作流程以及确定分级界线的方法，并通过具体应用证明了采用该模型可方便、灵活地对各种统计数据进行分类分级。

Fixing the class boundary of statistic data in a scientific and reasonable way is the prerequisite to making thematic map. This paper designs an extendable model that process class - data of thematic map, and this model can support seven popular classifications including Fractile classification, Optimal Dissection classification, Gradual Cluster classification and so on. It introduces detailedly the process of using the model to handle class - data and the method of fixing class boundary, and proves that adopting this model is convenient and agile to classify all kinds of statistic data through concrete application.