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Abstract

Andromeda uses a weighted multi-dimensional scaling algorithm to display data in clusters on a 2-dimensional plot. This visualization is interactive, allowing the user to choose image representations as their points and rearrange the clusters, and dimensional weights, in a manner they find appropriate. This package has an additional 'fetch data' option which pulls from iNaturalist, and can be merged with additional satellite data. A LatLonCover integration is available to add land coverage type percentages to data fetched through the "fetch data" tab; it is available for the contiguous US. Data fetched from iNaturalist could also be merged with pre-set satellite data including RGB summaries, though these are limited to areas covered by the QUEST 2023 version. This version updated the UI to include links to documentation. Hugging Face Instance of Andromeda

If you use this software, please cite the appropriate version using these metadata: Bradley, J., Campolongo, E. G., Thompson, M. J., Rubenstein, D., Lapp, H., & House, L. (2024). Andromeda (Version #) [Computer software]. https://github.com/Imageomics/Andromeda. Zenodo. https://doi.org/10.5281/zenodo.12107162

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Keywords

dimension reduction, image data, data analysis, MDS, interactive evaluation, data exploration, multi-dimensional scaling, visual analytics, EDA, visualization, clustering, explainable AI

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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