室内定位大数据中的信息维度 环境行为研究的新视角  

Dimensions of Information in Big Data Acquired by Indoor Positioning Systems A New Perspective for Environmental Behavior Research

作　　者：黄蔚欣[1] 吴明柏 

机构地区：[1]清华大学建筑学院 [2]中国科学院大学建筑研究与设计中心

出　　处：《时代建筑》2017年第5期50-53,共4页Time + Architecture

基　　金：国家自然科学基金资助项目(51578299)

摘　　要：室内定位大数据为环境行为学提供了研究行为与空间环境复杂关系的崭新手段。室内定位数据中蕴含着空间维度、时间维度、对象维度和内容维度等多种信息,提供了分析环境行为的不同切入角度。高维信息难以被人直观理解,而数据可视化提供了探索分析此类数据的重要工具。文章以松花湖滑雪度假区时空定位数据为例,利用三维空间和色彩空间将时间、内容、对象信息可视化,分析了不同人群的行为模式,探索了综合分析室内定位数据中多维信息的可能性。Big data acquired by indoor positioning system provides new methods for studying the complex relationship between behavior and environment. There are four different dimensions of information in indoor positioning data： the spatial dimension, the temporal dimension, the agent dimension and the content dimension. Thesedimensions provide different perspectives for the analysis of environmental behavior. High-dimensional information is diffcult to understand intuitively, so data visualization serves as an important tool for exploration and analysis. In this paper, the temporal, agent and content dimensions of information in the data from Songhua Lake Ski Resort are visualized by using both three-dimensional space and color space, taken as an example to explore the possibility of comprehensive analysis of multi-dimensional information in indoor positioning data.

关 键 词：室内定位系统 大数据行为分析 信息维度 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TU201[自动化与计算机技术—计算机科学与技术]