Abstract: The advantage of EDA is to display the simple and inherent characteristics and discipline inside data from more than one view by human-computer interactions to link various visualization analysis methods without any hypothesis as the premise.We aim of exploreing the potential capabilities of EDA used in landuse data analysis.EDA is used to analyze distribution characteristics of landuse,associate relationship among different landuse factors,landuse change and other landuse-related aspects.The results of the tests prove that EDA is capable of exploring the deep landuse information contained inside landuse data effectively from different levels and different views.These landuse information covers many aspects from whole to individual view,from detail to generalized classification,from general to specific characteristics,from static to dynamic characteristics.