Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Nayeem, Abdullah"'
Contour maps are an essential tool for exploring spatial features of the terrain, such as distance, directions, and surface gradient among the contour areas. User interactions in contour-based visualizations create approaches to visual analysis that
Externí odkaz:
http://arxiv.org/abs/2410.10032
Autor:
Nayeem, Abdullah-Al-Raihan, Han, Dongyun, Lee, Huikyo, Kim, Donghoon, Feldman, Daniel, Tolone, William J., Crichton, Daniel, Cho, Isaac
Climate science produces a wealth of complex, high-dimensional, multivariate data from observations and numerical models. These data are critical for understanding climate changes and their socioeconomic impacts. Climate scientists are continuously e
Externí odkaz:
http://arxiv.org/abs/2407.21199
Autor:
Han, Dongyun, Nayeem, Abdullah-Al-Raihan, Windett, Jason, Dai, Yaoyao, Radford, Benjamin, Cho, Isaac
Politics is the set of activities related to strategic decision-making in groups. Political scientists study the strategic interactions between states, institutions, politicians, and citizens; they seek to understand the causes and consequences of th
Externí odkaz:
http://arxiv.org/abs/2405.05947
Publikováno v:
In Computer Graphics Forum 2023 Feb (Vol. 42, No. 1, pp. 305-318)
Sub-national governments across the United States implement a variety of policies to address large societal problems and needs. Many policies are picked up or adopted in other states. This process is called policy diffusion and allows researchers to
Externí odkaz:
http://arxiv.org/abs/2304.04090
Autor:
Nayeem, Abdullah-Al-Raihan, Lee, Huikyo, Han, Dongyun, Elshambakey, Mohammad, Tolone, William J., Dobbs, Todd, Crichton, Daniel, Cho, Isaac
This paper introduces a novel visual analytics approach, DCPViz, to enable climate scientists to explore massive climate data interactively without requiring the upfront movement of massive data. Thus, climate scientists are afforded more effective a
Externí odkaz:
http://arxiv.org/abs/2211.09977
Autor:
Nayeem, Abdullah-Al-Raihan, Segovia-Dominguez, Ignacio, Lee, Huikyo, Han, Dongyun, Chen, Yuzhou, Zhen, Zhiwei, Gel, Yulia, Cho, Isaac
This paper introduces an interactive visualization interface with a machine learning consensus analysis that enables the researchers to explore the impact of atmospheric and socioeconomic factors on COVID-19 clinical severity by employing multiple Re
Externí odkaz:
http://arxiv.org/abs/2211.09967
Autor:
Nayeem, Abdullah-Al-Raihan, Elshambakey, Mohammed, Dobbs, Todd, Lee, Huikyo, Crichton, Daniel, Zhu, Yimin, Chokwitthaya, Chanachok, Tolone, William J., Cho, Isaac
This paper proposes a visual analytics framework that addresses the complex user interactions required through a command-line interface to run analyses in distributed data analysis systems. The visual analytics framework facilitates the user to manag
Externí odkaz:
http://arxiv.org/abs/2111.05979
Publikováno v:
In Journal of Environmental Chemical Engineering February 2024 12(1)
Autor:
Weclawiak, Irena A., Tao, Yong X., Nayeem, Abdullah-Al-Raihan, Cho, Isaac, Gonzalez, Jorge E.
Publikováno v:
In Urban Climate July 2023 50
Publikováno v:
In Environmental Research 1 January 2023 216 Part 2