基于网页的连续面积制图工具 go-cart.io 的比较评估
Comparative evaluation of the web-based contiguous cartogram generation tool go-cart.io
AI总结：
本文通过用户研究比较了网页连续面积制图工具 fBlog 和 go-cart.io 的可用性，发现 go-cart.io 更易用但仍存在界面复杂和数据导入格式受限等问题，并提出改进建议。
摘要：
面积制图（area cartograms）是一种基于地图的数据可视化形式，其中每个地图区域的面积与其所代表的数据值成比例。面积制图长期应用于印刷媒体，如今在网络上也越来越流行，常伴随新闻文章和博客文章出现。尽管面积制图很受欢迎，但对于不熟悉地理信息系统（Geographic Information Systems）软件的非技术用户而言，可用的制图生成工具仍然十分匮乏。很少有工具支持生成连续面积制图（contiguous cartograms），即能够忠实表示相邻区域空间邻接关系的面积制图。因此，我们回顾了现有的连续面积制图软件，并比较了两款基于网页的制图工具：fBlog 和 go-cart.io。我们通过一项包含制图生成任务和制图分析任务的用户研究，对这两款工具的可用性进行了实验评估。研究采用系统可用性量表（System Usability Scale）来量化参与者对两款工具可用性的感知。我们还收集了参与者的书面反馈，以确定他们在使用软件过程中面临的主要困难。参与者普遍认为 go-cart.io 比 fBlog 更易用。与 fBlog 相比，go-cart.io 提供了更多种类的内置地图，并支持通过文件上传导入数据值。尽管如此，我们的结果表明，即使是 go-cart.io 也存在可用性较差的问题，因为其图形用户界面较为复杂，且数据只能以逗号分隔值（comma-separated-values）文件的形式导入。我们还提出了对 go-cart.io 的改进建议，并为基于网页的制图工具给出了通用建议，以解决这些问题。
英文摘要：
Area cartograms are map-based data visualizations in which the area of each map region is proportional to the data value it represents. Long utilized in print media, area cartograms have also become increasingly popular online, often accompanying news articles and blog posts. Despite their popularity, there is a dearth of cartogram generation tools accessible to non-technical users unfamiliar with Geographic Information Systems software. Few tools support the generation of contiguous cartograms (i.e., area cartograms that faithfully represent the spatial adjacency of neighboring regions). We thus reviewed existing contiguous cartogram software and compared two web-based cartogram tools: fBlog and go-cart.io. We experimentally evaluated their usability through a user study comprising cartogram generation and analysis tasks. The System Usability Scale was adopted to quantify how participants perceived the usability of both tools. We also collected written feedback from participants to determine the main challenges faced while using the software. Participants generally rated go-cart.io as being more usable than fBlog. Compared to fBlog, go-cart.io offers a greater variety of built-in maps and allows importing data values by file upload. Still, our results suggest that even go-cart.io suffers from poor usability because the graphical user interface is complex and data can only be imported as a comma-separated-values file. We also propose changes to go-cart.io and make general recommendations for web-based cartogram tools to address these concerns.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
