空间数据智能统计方法研究与软件实现

Research and software implementation of spatial data intelligent statistics method

在进行空间数据统计分析的过程中,为了提高统计工作的效率,笔者采用C#+Arc Engine和数据库融合的开发模式,利用循环与数据库方法计算空间图斑数量、位置和面积等信息实现单属性和多属性自动分类统计,图斑质心八方向方位统计法确定图斑的空间位置,chart和word API方法实现地图数据的图表化和语言化表达。研究结果表明:将属性数据和空间数据分离可以实现空间数据准确高效地统计,循环和数据库方法的应用实现了空间数据的单属性和多属性分类统计;图斑质心八方向方位统计法的应用提高了空间统计的效率; chart和word API方法实现了属性数据统计图的自动生成以及地图数据报表化的自动生成与发布。

During the statistical analysis of spatial data,in order to improve the work efficiency,the authors adopt the development mode of C# + ArcEngine and database fusion,and use cyclic and database methods to calculate the number,location and area of spots in the space,to achieve automatic statistical classification of single attribute and multiple attributes. The spatial location of the map spot is determined by the method of chart-centered eight-direction azimuths,while the chart and word API is used to achieve map and language expression of the map data. The research results show that the separation of attribute data and spatial data can achieve accurate and efficient statistics of spatial data,and the application of cyclic and database methods realizes single attribute and multiple attribute classification statistics of spatial data,the application of statistical method of the map pedestal centroid azimuth direction improves the efficiency of spatial statistics,the chart and word API methods realize the automatic generation of the attribute data statistic graph and the automatic generation and release of the map data report form.