期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
基于共享单车时空间活动的居住生活圈分异特征研究——以上海中心城区为例 被引量:1
1
作者 刘冰 朱俊宇 +1 位作者 赵晶心 张涵双 《城市建筑》 2020年第31期5-9,27,共6页
以上海中心城区为例,首先,利用共享单车大数据得出的租还时间曲线,划分不同类型的居住型虚拟租赁点。其次,详细刻画这些租赁点与周边租赁点的OD簇联系特征。再次根据其骑行特征差异对居住生活圈进行模式识别。最后,选取若干典型模式的... 以上海中心城区为例,首先,利用共享单车大数据得出的租还时间曲线,划分不同类型的居住型虚拟租赁点。其次,详细刻画这些租赁点与周边租赁点的OD簇联系特征。再次根据其骑行特征差异对居住生活圈进行模式识别。最后,选取若干典型模式的骑行生活圈对其空间布局结构加以解析,并针对骑行生活圈构建中的主要问题提出改善建议。 展开更多
关键词 共享单车 居住生活圈 时空间活动 分异特征 OD簇
下载PDF
基于GPS数据的北京市居民活动规律性与可预测性研究 被引量:10
2
作者 杜洋 柴彦威 +2 位作者 杨家文 梁军辉 蓝建航 《地理与地理信息科学》 CSCD 北大核心 2015年第6期47-51,共5页
随着交通规划由注重设施建设向注重居民出行需求管理转变,非汇总层面的居民时空行为模式研究变得尤为重要,基于GPS、GSM等设备获取的个体行为时空数据也为居民活动特征研究提供了新契机。如何基于个体历史活动时空间数据,把握居民活动... 随着交通规划由注重设施建设向注重居民出行需求管理转变,非汇总层面的居民时空行为模式研究变得尤为重要,基于GPS、GSM等设备获取的个体行为时空数据也为居民活动特征研究提供了新契机。如何基于个体历史活动时空间数据,把握居民活动规律性,进而实现对居民活动行为时空间预测成为学界研究的热点。该文以北京市为案例,通过GPS对2012年北京居民的跟踪调查数据,基于信息熵算法和费诺不等式算法,探究居民个体活动行为的可预测性。研究表明:居民活动行为的可预测性与活动半径存在显著的相关关系,活动半径在10km以内的居民移动行为可预测性普遍在92%以上;居民一日之内的活动行为可预测性具有明显的时间节律,呈现双波谷的变化特征。 展开更多
关键词 时空间活动 GPS数据 可预测性 北京
下载PDF
城市规划中的大数据应用研究模式、特点以及挑战 被引量:5
3
作者 陈真 张栋梁 《建设科技》 2016年第16期68-71,共4页
大数据已经成为当前研究城市时空行为特征的热点方向,本文总结当前城市规划领域应用大数据的主要案例,梳理出了城市规划领域中的大数据应用类型以及城市时空行为特征识别的大数据应用研究模式,发现其应用研究主要采用公交刷卡、手机定... 大数据已经成为当前研究城市时空行为特征的热点方向,本文总结当前城市规划领域应用大数据的主要案例,梳理出了城市规划领域中的大数据应用类型以及城市时空行为特征识别的大数据应用研究模式,发现其应用研究主要采用公交刷卡、手机定位、出租车轨迹等居民出行数据以及社交网络数据,挖掘城市空间职住地信息、通勤信息以及对城市功能区和热点区的识别;基本的应用模式由数据采集、数据标准化、数据挖掘与居民时空间活动特征识别四步工作构成;同时,当前应用研究还存在着数据共享、数据标准化以及数据挖掘分析三大方面的挑战。 展开更多
关键词 大数据 城市规划 居民时空间活动特征
下载PDF
Space and Temporal Distribution Analysis of Interictal Spike in Epilepsy
4
作者 Mamadou Lamine Ndiaye Jean-Jacques Montois +1 位作者 Abel Kinie Papa Alioune Sarr Ndiaye 《Journal of Life Sciences》 2012年第8期840-847,共8页
Stereo-electroencephalography (SEEG) is the main investigation method for pre-surgical evaluation of patients suffering from drug-resistant partial epilepsy. SEEG signals reflect two types of paroxysmal activity: i... Stereo-electroencephalography (SEEG) is the main investigation method for pre-surgical evaluation of patients suffering from drug-resistant partial epilepsy. SEEG signals reflect two types of paroxysmal activity: ictal activity and interictal activity or interictal spikes (IS). The relationship between IS and ictal activity is an essential and recurrent question in epiletology. In this paper, we present a distributed and parallel architecture for space and temporal distribution analysis of IS, based on a distributed and collaborative methodology. The proposed approach exploits the SEEG data using vector analysis of the corresponding signals among multi-agents system. The objective is to present a new method to analyze and classify IS during wakefulness (W), light sleep (LS) and deep sleep (DS) stages. Temporal and spatial relationships between IS and seizure onset zone are compared during wakefulness, light sleep and deep sleep. Results show that space and temporal distribution for real data are not random but correlated. 展开更多
关键词 EPILEPSY sleep stage stereo-electroencephalography (SEEG) interictal spike signal processing multi-agent system.
下载PDF
Analysis of isentropic potential vorticities for the relationship between stratospheric anomalies and the cooling process in China 被引量:1
5
作者 陆春晖 丁一汇 《Science Bulletin》 SCIE EI CAS CSCD 2015年第7期726-738,M0004,共14页
We analyze the relationships between strato- spheric polar vortex anomalies and cooling events in eastern China using isentropic reanalysis data from the European Center for Medium-Range Weather Forecasts. Daily mean ... We analyze the relationships between strato- spheric polar vortex anomalies and cooling events in eastern China using isentropic reanalysis data from the European Center for Medium-Range Weather Forecasts. Daily mean data from 2000 to 2011 are used to explore the effective stratospheric signals. First, diagnoses of the 2009/2010 winter show that after the stratospheric sudden warming (SSW) of the Atlantic-East Asian (AEA) pattern, the stratospheric high isentropic potential vorticity (IPV) center derived from the split polar vortex will move to the northeast of the Eurasian continent. The air mass, accom- panied by some southward and eastward movements and characterized by high IPV values, will be stretched verti- cally, leading to apparent reinforcements of the positive vorticity and the development of acold vortex system in the troposphere. The northerly wind on the western side of the cold vortex can transport cold air southward and down- ward, resulting in this distinct cooling process in eastern China. Secondly, the empirical orthogonal function ana- lyses of IPV anomalies on the 430 K isentropic surface during 2000-2011 winters indicate that the IPV distribution and time series of the first mode are able to represent the polar vortex variation features, which significantly influ- ence cold-air activity in eastern China, especially in the AEA-type SSW winter. When the time series increases significantly, the polar vortex will be split and the high-IPV center will move to the northeast of the Eurasian continent with downward and southward developments, inducing obvious cooling in eastern China. Moreover, all the four times SSW events of AEA pattern from 2000 to 2011 are reflected in the first time series, and after the strong polar vortex disturbances, cooling processes of different inten- sities are observed in eastern China. The cooling can sus- tain at least 1 week. For this reason, the first time series can be used as an available index of polar vortex oscillation and has the power to predict cold-air activity in winter. 展开更多
关键词 Isentropic potential vorticity Stratospheric sudden warming EOF analysis Polarvortex oscillation Cooling process
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部