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介绍用于大规模基于网络的数据可视化的组合地图集框架:植物入侵的全球自然档案地图集。

Introducing the combined atlas framework for large-scale web-based data visualization: The GloNAF atlas of plant invasion.

作者信息

Hancock Sebastian C, Essl Franz, Kraak Menno-Jan, Dawson Wayne, Kreft Holger, Pyšek Petr, Pergl Jan, van Kleunen Mark, Weigelt Patrick, Winter Marten, Gartner Georg, Lenzner Bernd

机构信息

Research Division Cartography, Department of Geodesy and Geoinformation Vienna University of Technology Vienna Austria.

Bioinvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research University Vienna Vienna Austria.

出版信息

Methods Ecol Evol. 2022 May;13(5):1073-1081. doi: 10.1111/2041-210X.13820. Epub 2022 Feb 22.

DOI:10.1111/2041-210X.13820
PMID:35909503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9305529/
Abstract

Large-scale biodiversity data, for example, on species distribution and richness information, are being mobilized and becoming available at an increasing rate. Interactive web applications like atlases have been developed to visualize available datasets and make them accessible to a wider audience. Web mapping tools are changing rapidly, and different underlying concepts have been developed to visualize datasets at a high cartographic standard.Here, we introduce the Combined Atlas Framework for the development of interactive web atlases for ecological data visualization. We combine two existing approaches: the five stages of the user-centred design approach for web mapping applications and the three U approach for interface success.Subsequently, we illustrate the use of this framework by developing the Atlas of Plant Invasions based on the Global Naturalized Alien Flora (GloNAF) database. This case study illustrates how the newly developed Combined Atlas Framework with a user-centred design philosophy can generate measurable success through communication with the target user group, iterative prototyping and competitive analysis of other existing web mapping approaches.The framework is useful in creating an atlas that employs user feedback to determine usability and utility features within an interactive atlas system. Finally, this framework will enable a better-informed development process of future visualization and dissemination of biodiversity data through web mapping applications and interactive atlases.

摘要

例如,关于物种分布和丰富度信息的大规模生物多样性数据正在被整合,并以越来越快的速度可得。像地图集这样的交互式网络应用程序已经被开发出来,以可视化可用数据集,并使其能被更广泛的受众访问。网络地图工具正在迅速变化,并且已经开发出不同的基础概念,以便以高制图标准可视化数据集。在此,我们介绍用于开发生态数据可视化交互式网络地图集的组合地图集框架。我们结合了两种现有方法:网络地图应用程序以用户为中心的设计方法的五个阶段和界面成功的“三个U”方法。随后,我们通过基于全球归化外来植物区系(GloNAF)数据库开发植物入侵地图集来说明该框架的使用。这个案例研究说明了新开发的具有以用户为中心设计理念的组合地图集框架如何通过与目标用户群体沟通、迭代原型设计以及对其他现有网络地图方法的竞争分析来产生可衡量的成功。该框架对于创建一个利用用户反馈来确定交互式地图集系统内可用性和实用功能的地图集很有用。最后,这个框架将通过网络地图应用程序和交互式地图集,使未来生物多样性数据的可视化和传播过程有更充分的信息依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/efa04dce14ea/MEE3-13-1073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/51e8141b8c1f/MEE3-13-1073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/21b149b40689/MEE3-13-1073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/efa04dce14ea/MEE3-13-1073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/51e8141b8c1f/MEE3-13-1073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/21b149b40689/MEE3-13-1073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05c6/9305529/efa04dce14ea/MEE3-13-1073-g002.jpg

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本文引用的文献

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