Exploring beneath the surface using interactive data transects

IF 2.7 Q1 GEOGRAPHY
Jie-Qiong Lin, Gordon A. Cromley
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引用次数: 0

Abstract

ABSTRACT Maps depicting different types of standardized data densities, general ratios/rates, and proportions/percentages are displayed as planimetric projections of continuous or discrete surfaces. However, these standardized data often have sub-layers that are used in compiling a final surface being mapped such as sub-layers stacked on top of one another, or sub-layers used to compute rates and percentages. In this study, we propose an interactive transect tool that allows the user to explore beneath the final surface to describe the patterns of these sub-layers. The tool was developed as a Python add-in for ArcGIS. This package provides two different representations of the cross-sections, a stacked profile tool and a line graph tool, for users to choose based on the type of surface and the purpose of the exploratory analysis. The illustrated applications of the transect tool include exploring the constituent layers of density surfaces, comparing different probability density surfaces, resolving the visual equalization issue for ratio surfaces, and interpreting the spatial patterns of areal classes. An empirical test finds that the transect tool is somewhat more time-efficient than when making visual comparison of values and more accurate in detecting the rank orderings of these values. Overall, it has potential as a visualization tool for multivariate spatial exploratory analysis.
利用交互式数据横断面探索地表之下
描绘不同类型的标准化数据密度、一般比率/比率和比例/百分比的地图显示为连续或离散表面的平面投影。然而,这些标准化的数据通常有子层,用于编译要映射的最终表面,例如堆叠在一起的子层,或用于计算比率和百分比的子层。在这项研究中,我们提出了一个交互式样条工具,允许用户探索最终表面下描述这些子层的模式。该工具是作为ArcGIS的Python插件开发的。该软件包提供了两种不同的横截面表示,堆叠轮廓工具和线图工具,供用户根据表面类型和探索性分析的目的进行选择。样条工具的实例应用包括:探索密度曲面的组成层,比较不同概率密度曲面,解决比率曲面的视觉均衡化问题,以及解释面类的空间模式。一项实证测试发现,样条工具在某种程度上比视觉值比较更省时,并且在检测这些值的秩排序方面更准确。总体而言,它具有作为多元空间探索性分析的可视化工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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