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Statistical visualization for data exploration: a case study on Sydney Olympic Park

机译:统计可视化用于数据探索:以悉尼奥林匹克公园为例

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摘要

Due to the powerful graphic interface in modern computers, visualization techniques have become more and more popular for data exploration. As a preliminary investigation, visualization is a greatly useful tool to lead to further statistical analysis and modelling. It is likely that historical environmental data from a range of different studies may contain useful information that should be assessed for determining management actions. However, these historical data are collected from many different studies, which have different space and/or time scales making the visualization process complicated. In this paper we present several ways of visualizing historical data based on a study at Sydney Olympic Park. The tools include spatial coverage and variation for different spatial resolutions, temporal coverage and time series plots for different time scales, multi-panel scatterplots for a small number of variables and "one-to-all" scatter-plots for a large number of variables.
机译:由于现代计算机中强大的图形界面,可视化技术已变得越来越流行用于数据探索。作为初步调查,可视化是导致进一步统计分析和建模的非常有用的工具。来自一系列不同研究的历史环境数据可能包含有用的信息,应对其进行评估以确定管理措施。但是,这些历史数据是从许多不同的研究中收集的,这些研究具有不同的空间和/或时间范围,从而使可视化过程变得复杂。本文基于悉尼奥林匹克公园的一项研究,提出了几种可视化历史数据的方法。这些工具包括针对不同空间分辨率的空间覆盖率和变化,针对不同时间尺度的时间覆盖率和时间序列图,针对少量变量的多面板散点图以及针对大量变量的“一对一”散点图。

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