统计地图大多是利用行政区划为单位的统计或调查数据资料作为专题地图的制图资料, 以行政区划单元作为制图单元, 在GIS专题地图制作系统的支持下, 完成统计数据的分级与可视化表达。但是, 目前现有GIS进行统计数据可视化表达时, 存在可供选取的分级模型较少, 用户不能依据不同的数据分布特征选取相应的分级方法。为了满足越来越广泛的不同用户多元化的需求, 更科学地反映统计数据的分布特征, 提供更多的分级方法, 以及提高统计地图的可视化表达效果, 本文广州翻译公司利用软件之间的集成方法, 利用MapBisic对基于MapX专题地图制作功能进行了二次开发。对现有分级软件采用MapBisic调用DLL动态连接库的方式实现统计数据分布特征的判断, 利用集成在系统中的SPSS判断, 以及分级统计地图制作系统中的详细菜单帮助用户制作出更符合数据特征的分级统计地图。论文对系统开发中的Mapinfo和SPSS集成、SPSS与属性库连接、数据分布特征的判断和分级模型库的实现等关键技术进行了研究北京翻译公司。

Most statistical maps use statistics which take administrative divisions unit or survey data as mapping information of thematic maps, take administrative division unit as mapping unit, complete classification and visual expression of statistical data under support of GIS thematic map production system. Nevertheless, when current GIS is giving visual presentation of statistical data, there are relatively few number of available classification models and users cannot choose proper classification method in accordance with different data distribution characteristics. To satisfy diversified demands of increasingly extensive and different users, reflect distribution characteristics of statistical data in a more scientific way, provide more classification methods and enhance visual presentation effect of statistical map, the document leverages software integration methods and MapBasic to conduct secondary development of MapX-based thematic mapping functions. For existing classification software, MapBasic calls DLL to determine distribution characteristics of statistical data. SPSS integrated in the system is used to make judgment and detailed menu in the hierarchical statistical mapping system is used to help users produce hierarchical statistical maps that are more consistent with data characteristics. The thesis probes into key technologies in system development, including integration of Mapinfo and SPSS, connection between SPSS and attribute library, judgment of data distribution characteristics and realization of hierarchical model library.