VAST 2017迷你挑战赛的时空分析

Chris Muller, Kevin McGurgan, Stephanie Kane
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引用次数: 0

摘要

本文总结了我们团队用于分析2017年VAST挑战赛Mini-Challenge 1数据集的方法和工具。这个小挑战的目标是找到公园内可能与筑巢鸟类数量下降有关的交通活动模式。我们使用Python和JavaScript开发了一个定制的基于web的应用程序来可视化和分析数据,以解决这个小挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal and Spatial Analysis of VAST 2017’s Mini-Challenge 1
This paper summarizes the approach and tools used by our team to analyze the dataset for Mini-Challenge 1 of the 2017 VAST Challenge. The goal of the mini-challenge was to find patterns of traffic activity within the park that may be associated with declining numbers of nesting bird pairs. We developed a custom, web-based application using Python and JavaScript to visualize and analyze the data to solve the mini-challenge.
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