Minimal Geolife dataset

This GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over five years (from April 2007 to August 2012). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information of latitude, longitude and altitude. This dataset contains 17,621 trajectories with a total distance of 1,292,951kilometers and a total duration of 50,176 hours. These trajectories were recorded by different GPS loggers and GPS-phones, and have a variety of sampling rates. 91.5 percent of the trajectories are logged in a dense representation, e.g. every 1~5seconds or every 5~10 meters per point.This project uploads part of the Geolife dataset. Papers using this data include the following：[1] Yu Zheng, Lizhu Zhang, Xing Xie. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of International conference on World Wild Web (2009), Madrid Spain. ACM Press: 791-800[2] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 2008:312-321.[3] Yu Zheng, Xing Xie, Wei Ying Ma, GeoLife: A Collaborative Social Networking Service among User, location and trajectory. Invited paper, in IEEE Data Engineering Bulletin. 2010,2(33): 32-40.<br><br>本GPS轨迹数据集源自微软亚洲研究院（Microsoft Research Asia）的GeoLife项目，由182名用户历时五年多（2007年4月至2012年8月）采集完成。 该数据集内的单条GPS轨迹由一系列带时间戳的点位构成，每个点位均包含纬度、经度与海拔信息。 本数据集共计包含17621条轨迹，总行驶里程达1292951千米，总时长为50176小时。 这些轨迹由不同型号的GPS记录仪与GPS手机采集，采样速率各不相同。其中91.5%的轨迹采用高密度采样方式，例如每1~5秒采集一个点位，或每5~10米采集一个点位。 本项目仅上传了GeoLife数据集的部分内容。使用该数据集的相关学术论文如下： [1] 郑宇、张立珠、谢兴：《从GPS轨迹中挖掘趣味地点与出行序列》，收录于2009年西班牙马德里万维网国际会议（International Conference on World Wide Web 2009）论文集，ACM出版社：791-800。 [2] 郑宇、李泉楠、陈昱坤、谢兴：《基于GPS数据的移动行为分析》，收录于2008年韩国首尔ACM普适计算国际会议（ACM Conference on Ubiquitous Computing, UbiComp 2008）论文集，ACM出版社：2008:312-321。 [3] 郑宇、谢兴、马伟英：《GeoLife：用户、位置与轨迹间的协作型社交网络服务》，特邀论文，发表于《IEEE数据工程公报（IEEE Data Engineering Bulletin）》2010年，2(33):32-40。