使用Python函数式编程进行空间回归分析  

Spatial Regression Analysis with Python's Functional Programming

作　　者：孙宁[1] 蒲英霞[1] 

机构地区：[1]南京大学地理与海洋科学学院,江苏南京210093

出　　处：《地理信息世界》2009年第3期66-69,共4页Geomatics World

基　　金：国家自然科学基金项目资助(40601074)

摘　　要：针对使用传统的编程方式进行空间回归分析过于繁杂的问题,本文提出将Python函数式编程引入空间回归分析方法,分析和探讨脚本语言+函数式编程方式在GIS数据分析中的推广应用前景。编程实践证明,采用Python函数式编程,结合既有的开源软件包,可以有效提高编程效率,减少代码量,将实践人员的注意力集中在问题本身。As the traditional programming languages do not suite for spatial data analysis,functional programming is more advanced and more practical.This paper put forward to introduce Python＇s functional programming into spatial regression analysis.It analyzed and discussed application prospect of script language combined with functional programming method in GIS data analysis.The experiments proved that it can effectively improve the programming efficiency,reduce the codes,and focus the researcher＇s attention on the problem using the Python＇s functional programming combined with the existed open source software packages.

关 键 词：PYTHON 函数式编程 空间回归分析 开源软件 数据挖掘 

分 类 号：TP311.132.4[自动化与计算机技术—计算机软件与理论]