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Abstract
Iconographic Visualization in Python, or ivpy, is a software module, written in the Python programming language, that provides a set of functions for organizing iconographic representations of data, including images and glyphs. The module also provides methods for extracting visual features from images; generating and hand-tuning clusters of data points; and embedding high-dimensional data in 2D coordinate spaces. It is designed for use inside computational notebooks, so that users working with data needn't leave the notebook environment in order to generate visualizations. The software is designed primarily for those researchers working with large image datasets in fields where human visual expertise cannot be replaced with or superseded by machine vision, such as art history and media studies.
DOI: https://doi.org/10.11588/dah.2019.4.66401
Author
Damon Crockett
is the Principal Data Scientist at the Institute for the Preservation of Cultural Heritage at Yale University. He manages the institute’s data science projects, focusing on data integration, visualization, interpretability, and communication. Prior to joining the institute, he was a Postdoctoral Associate in Computer Science at Yale, working in the Digital Humanities Lab. He has also worked as a researcher at the Center for Data Science and Public Policy at the University of Chicago; the Institute for Pure and Applied Mathematics at UCLA; and the Cultural Analytics Lab at UC San Diego, where he graduated in 2015 with a Ph.D. in Philosophy and Cognitive Science.