Shiny Dashboard - NYC Trees Benefit Estimation

Elona Zharri, S. Robila
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Abstract

This project describes the research and development efforts to develop a web-based interface that allows the visualization of how the tree canopy confers ecological, economic, and social benefits and how it can be used to enhance neighborhoods disproportionately affected by environmental challenges such as excessive heat, impervious surfaces, and air pollution. It provides an example how data science can provide communities with tools that employ Open Data to research impact of vegetation spread to aspects such as energy usage, house prices and new planting. Using the analysis and visualization of the NYC trees dataset, an interactive Shiny dashboard representing 2015 New York City Street Tree Census - Tree Data was developed. The data was curated into an easier form to understand, highlighted the trends and outliers as a pictorial and graphical format to illustrate the existing trees planted around a given address, and estimation benefit of the trees based on their age, condition, and type. The application development provides an example how data science can provide communities with tools that employ Open Data to research impact of vegetation spread to aspects such as energy usage or house prices.
闪亮的仪表板-纽约市树木效益估计
该项目描述了开发基于网络的界面的研究和开发工作,该界面允许可视化树冠如何赋予生态、经济和社会效益,以及如何利用树冠来改善受到过热、不透水表面和空气污染等环境挑战不成比例影响的社区。它提供了一个例子,说明数据科学如何为社区提供工具,利用开放数据来研究植被传播对能源使用、房价和新种植等方面的影响。利用对纽约市树木数据集的分析和可视化,开发了一个代表2015年纽约市街道树木普查-树木数据的交互式Shiny仪表板。这些数据被整理成一种更容易理解的形式,以图片和图形的形式突出显示趋势和异常值,以说明给定地址周围种植的现有树木,并根据树木的年龄、状况和类型估计树木的效益。应用程序的开发提供了一个例子,说明数据科学如何为社区提供工具,利用开放数据来研究植被传播对能源使用或房价等方面的影响。
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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