Published November 1, 2023
| Version 1.1.0
Software
Open
Andromeda
Creators
-
1.
Duke University
- 2. Imageomics Institute
-
3.
The Ohio State University
-
4.
Princeton University
-
5.
Virginia Tech
Description
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.
This version of Andromeda incorporates LatLonCover 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.
Files
Andromeda-1.1.0.zip
Files
(131.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:34de32c483be74888f94fab295a65aa2
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131.5 MB | Preview Download |
Additional details
Funding
- U.S. National Science Foundation
- HDR Institute: Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning 2118240
Software
- Repository URL
- https://github.com/Imageomics/Andromeda
- Programming language
- Python
References
- Han, H. et al. (2022). Explainable Interactive Projections for Image Data. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2022. Lecture Notes in Computer Science, vol 13598. Springer, Cham. https://doi.org/10.1007/978-3-031-20713-6_6
- Liu, W. (2022). Quest2022_Andromeda [Computer Software]. https://github.com/infovis-vt/Quest2022_Andromeda/tree/7cb9fc17c7652dfb85ee7544603c8c5110edd9e7
- Han, H. (2023) Andromeda_IMG [Computer Software]. https://github.com/infovis-vt/Andromeda_IMG/tree/5ed9d493d15d834d0a47c7ac543e565dd4d2c84e