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基于LBS&GIS的旅游资源普查、评价与可视化系统
作者姓名:李鹏  王英杰  虞虎  马楠
作者单位:1. 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 123000; 2. 中国科学院地理科学与资源研究所, 北京 100101; 3. 中国科学院大学, 北京 100049
基金项目:国家科技支撑计划课题(2014BAL07B02)和国家自然科学基金(41701164)资助
摘    要:

关 键 词:旅游资源  LBS  GIS  空间分析  蓬莱  
收稿时间:2016-10-27
修稿时间:2017-02-20

Survey,evaluation, and visualization system of tourism resources based on LBS and GIS
Authors:LI Peng  WANG Yingjie  YU Hu  MA Nan
Institution:1. School of Mapping and Geographic Information, Liaoning Technical University, Fuxin 123000, Liaoning, China; 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:With the trend of rise and rapid development of LBS, the information means for tourism census is unceasingly highlighted. Taking Penglai of Shandong Province as an example, we design and verify the location application of Internet-based service platform of GIS system. This system, with ArcGIS API for JavaScript technology being the core, is completed by multilayer system structure of thinclient. Then we successfully transfer the subsystem of GIS to the platform of LBS by component package. We expound the platform of this technology, analyze the modern mainstream WebGIS development tools, and select a proper solution after comparison. The system is divided into four subsystems:tourism resources collection and reporting subsystem, automatic database construction subsystem, analysis and evaluation subsystem, and web publishing and visualization subsystem. The services of automatic database construction, tourism resource statistics and analysis, and visualization are realized by using code and classification based on Chinese standard and by combining with web map, high-resolution remote sensing image, and GPS technology. This work will play a strong supporting role for the tourism resource development and product construction in the future.
Keywords:tourism resources                                                                                                                        LBS                                                                                                                        GIS                                                                                                                        spatial analysis                                                                                                                        Penglai City
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