.png){kind=icon}
返回
Exploratory analysis of the interrelations between co-located boolean spatial features using network graphs
.png){kind=icon}
PRE
AI
DOI：10.1080/13658816.2011.594799.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Visual data mining of spatial data is a challenging task. As exploratory analysis is fundamental, it is beneficial to explore the data using different potential visualisations. In this article, we propose and analyse network graphs as a useful visualisation tool to mine spatial data. Due to their ability to represent complex systems of relationships in a visually insightful and intuitive way, network graphs offer a rich structure that has been recognised in many fields as a powerful visual representation. However, they have not been sufficiently exploited in spatial data mining, where they have principally been used on data that come with an explicit pre-specified network graph structure. This research presents a methodology with which to infer relationship network graphs for large collections of boolean spatial features. The methodology consists of four principal stages: (1) define a co-location model, (2) select the type of co-association of interest, (3) compute statistical diagnostics for these co-associations and (4) construct and visualise a network graph of the statistic from step (3). We illustrate the potential usefulness of the methodology using an example taken from an ecological setting. Specifically, we use network graphs to understand and analyse the potential interactions between potential vector and reservoir species that enable the propagation of leishmaniasis, a disease transmitted by the bite of sandflies.
Keyword:
spatial data mining
visual exploration
exploratory analysis
boolean spatial features
network visualisation
modifiable areal unit problem
geovisual analytics
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.1
论文数:
2.7K
被引数:
9.3K
机构
引用论文
分享收藏P-2-8 Antidepressant effects of milnacipran in the learned helplessness test in ratsP-2-8 米那普兰在习得性无助测试中的抗抑郁作用
PREAI
分享收藏Comparison of the effects of the cholecystokinin‐B receptor antagonist, PD 134308, and the cholecystokinin‐A receptor antagonist, L‐364,718, on dopamine neuronal activity in the substantia nigra and ventral tegmental area比较胆囊收缩素-B受体拮抗剂PD 134308与胆囊收缩素-A受体拮抗剂L-364,718对黑质和腹侧被盖区多巴胺神经元活动的影响.png)
Synapse
SynapseIF0
PREAI
分享收藏
分享收藏
查看更多内容