Introducing the combined atlas framework for large-scale web-based data visualization: The GloNAF atlas of plant invasion.
D3
GloNAF
JavaScript
atlas
cartography
framework development
invasive alien species
web mapping
workflow
Journal
Methods in ecology and evolution
ISSN: 2041-210X
Titre abrégé: Methods Ecol Evol
Pays: United States
ID NLM: 101539246
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
11
05
2021
revised:
19
01
2022
accepted:
22
01
2022
entrez:
1
8
2022
pubmed:
2
8
2022
medline:
2
8
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35909503
doi: 10.1111/2041-210X.13820
pii: MEE313820
pmc: PMC9305529
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1073-1081Informations de copyright
© 2022 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society.
Déclaration de conflit d'intérêts
The authors have no conflict of interest to declare.
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