Work

Demystifying Spatial Dependence: Interactive Visualizations for Interpreting Local Spatial Autocorrelation

Year: 2024

Type: conference-paper

Abstract: The Local Moran’s I statistic is a valuable tool for identifying localized patterns of spatial autocorrelation. Understanding these patterns is crucial in spatial analysis, but interpreting the statistic can be difficult. To simplify this process, we introduce three novel visualizations that enhance the interpretation of Local Moran’s I results. These visualizations can be interactively linked to one another, and to established visualizations, to offer a more holistic exploration of the results. We provide a JavaScript library with implementations of these new visual elements, along with a web dashboard that demonstrates their integrated use.

Source: IEEE Visualization and Visual Analytics (VIS)

DOI: 10.1109/vis55277.2024.00022

Authors: Lee Mason, Blánaid Hicks, Jonas Almeida

Institutions: National Cancer Institute, Queen's University Belfast

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute

OpenAlex ID: W4404915019

FWCI: 0.632

Cites: 26

Cited by: 3

Related to: 10