Podučavanje vizualizacije podataka i osnovnih vještina izrade karata na Liberal Arts Collegeu

Q4 Earth and Planetary Sciences
Michael T. Gastner
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引用次数: 0

Abstract

Communicating data has become vital in an increasingly data-dependent society. Because data are often communicated graphically, many colleges and universities are offering courses that teach the principles of data visualisation. In this article, the author reflects on his experience of teaching such a course at a liberal arts college. The course introduced students to the tidyverse suite of packages for the programming language R, including the data visualisation package ggplot2, which implements Wilkinson’s (2005) ‘grammar of graphics’. The packages sf and tmap were used to extend the capabilities of the tidyverse packages for analysing geospatial data and producing thematic maps. This article provides insights into effective teaching strategies, including intended learning outcomes, the core syllabus, pedagogy and assessment. Sample tasks and visualisations are also presented to demonstrate how essential cartographic skills were imparted to students.
在文学院培养数据可视化和基本技能
在一个日益依赖数据的社会中,数据交流变得至关重要。由于数据通常以图形方式传达,因此许多学院和大学都开设了教授数据可视化原理的课程。在这篇文章中,作者反思了他在一所文理学院教授这门课程的经历。该课程向学生介绍了编程语言R的tidyverse软件包套件,包括数据可视化软件包ggplot2,它实现了威尔金森(2005)的“图形语法”。sf和tmap包用于扩展tidyverse包分析地理空间数据和制作专题地图的能力。本文提供了对有效教学策略的见解,包括预期的学习成果、核心教学大纲、教学法和评估。还提供了示例任务和可视化,以演示如何将基本的制图技能传授给学生。
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
Kartografija i Geoinformacije
Kartografija i Geoinformacije Earth and Planetary Sciences-Geophysics
CiteScore
0.70
自引率
0.00%
发文量
6
审稿时长
12 weeks
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