HCApr 4, 2019

Homegrown Governments: Visualizing Regional Governance in the United States

arXiv:1905.06715v1
Originality Synthesis-oriented
AI Analysis

This work addresses visualization challenges for researchers and policymakers studying regional governance in the United States, but it is incremental as it builds on existing data and methods.

The paper tackled the problem of visualizing Regional Intergovernmental Organizations (RIGOs) and Metropolitan Statistical Areas (MSAs) by proposing a new approach that reduces cognitive effort, resulting in an evaluation showing it to be more effective than current methods.

Regional Intergovernmental Organizations (RIGOs) are constituted by the local governments within their respective regions and are supported by the active engagement of the regions community and citizens. Metropolitan Statistical Areas (MSAs), on the other hand, are classified by the federal government based on commuting and commerce patterns. They do not adhere to any local government. The Graduate School of Policy and International Affairs Center for Metropolitan Studies (GSPIA) at the University of Pittsburgh have been researching the boundaries of RIGOs and the characteristics defining them. In this paper, we propose, design, and implement an approach to enhance the current visualization by visualizing two categorical data: RIGOs and MSAs and the overlapping between them. We attempted to use a combination of visual attributes that leverage human perception system and do not impose cognitive and mental effort. The overall result of the evaluation shows that our work proved to be more effective than the current visualization.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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