基于地理位置信息的购物系统的设计在于解决附近商店的购物问题.在研究分析凝结算法、智能滤波算法和IR2树算法的基础上,提出了基于地理位置的安卓购物系统设计方法.该方法可具体分为以下过程:通过LBS服务云平台下的空间运算实现定位、搜索、导航的功能;客户端通过发出网络请求,完成与LBS云服务平台的交互,构建客户端的用户界面和业务逻辑;客户端通过HTTP协议完成对服务器端的数据结构的访问.消费者通过使用APP可搜索到3~4 km范围内的商店,利用GPS系统在地图调用功能指导下显示与特定区域相关的所有商店,可通过该APP系统所提供的地图去寻找距离最近的商店并选择购买商品,且可选择网上支付.该购物系统的试运行结果表明,消费者能够快速搜索到自己周边最近的商铺并购买所需商品,节省了大量时间,具有较强的实用性和便捷性.%The design of the Android shopping system based on the geographic location information is employed to solve the problem of stores shopping around.On the basis of the study of agglomerative algorithm,smart filtering algorithm,IR2 Tree,the method of the Android shopping system based on the geographic location information has been proposed.It is divided into the following process with three steps:the function of the localization,search,navigation is achieved with the help of LBS services space operations;the interaction of the LBS cloud services platform is completed with the client,and the client's user interface and business logic are built through the network requests made by the client;the access to the server-side data structure is completed by the client through the HTTP protocols.By using this application customers can search the favorite shop in his local area up to 3/4 km when all the shops related to that particular area have been displayed with the help of GPS system.The nearest store have be found with the map provided by the APP and the goods can be purchased online.The shopping system commissioning results show that the consumer can quickly search to their surrounding the nearest shops and purchase the required goods,and save a lot of time.Thus the strong practicability and convenience of the system have been verified.
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