Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ghulam Jilani Quadri"'
Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight into how robust different design choices are to variations in category n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a472919747a82c303bd5bc28ae65e99
When sharing visualizations, annotations provide valuable insights into the data by focusing attention on important visual elements. As a result, annotations have become an essential part of visualizations, primarily when externalizing data or engagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e948f686779851de45915fa94fc91721
https://doi.org/10.31219/osf.io/e5vfy
https://doi.org/10.31219/osf.io/e5vfy
Publikováno v:
IEEE transactions on visualization and computer graphics.
Scatterplots are among the most widely used visualization techniques. Compelling scatterplot visualizations improve understanding of data by leveraging visual perception to boost awareness when performing specific visual analytic tasks. Design choice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a6294099ac3267a554935e55875840
https://pubmed.ncbi.nlm.nih.gov/35816525
https://pubmed.ncbi.nlm.nih.gov/35816525
Autor:
Ghulam Jilani Quadri, Paul Rosen
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:1829-1839
Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of clusters. For visualization designers, optimizin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30ef18588e6db476cce0caccb33b041c
https://doi.org/10.1109/tvcg.2020.3030365
https://doi.org/10.1109/tvcg.2020.3030365
Autor:
Paul Rosen, Ghulam Jilani Quadri
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:1536-1546
We present a comprehensive framework for evaluating line chart smoothing methods under a variety of visual analytics tasks. Line charts are commonly used to visualize a series of data samples. When the number of samples is large, or the data are nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33c971f97affc77e3953e4422022c938
https://doi.org/10.1109/tvcg.2020.3030421
https://doi.org/10.1109/tvcg.2020.3030421
Autor:
Ghulam Jilani Quadri, Paul Rosen
Knowledge of human perception has long been incorporated into visualizations to enhance their quality and effectiveness. The last decade, in particular, has shown an increase in perception-based visualization research studies. With all of this recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd0693e1659bae26ed7da08d2f10f97
Publikováno v:
VAST
Analysis and exploration of similar continuous data for various air-sampler sensor have been performed by developing a processing tool. The analysis and design for characterizing sensor data have been stated and described. Continuous 24X7 sensor data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b8be19394b1e561172c7d182cb1f6a9
https://doi.org/10.1109/vast.2017.8585678
https://doi.org/10.1109/vast.2017.8585678
Publikováno v:
VAST
Satellite images are helpful in remote sensing of land features. However, such multi-spectral images cannot be displayed using readily available imaging tools. We developed a tool in Processing that is able to read in multi-spectral images and displa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f3df428d983384340227e3d8b59660d
https://doi.org/10.1109/vast.2017.8585482
https://doi.org/10.1109/vast.2017.8585482
Publikováno v:
VAST
A wealth of information is captured by traffic sensors but extracting and representing the said information is a challenge. We developed a data processing tool in Apache Spark to aggregate the data points recorded by the sensors and enrich it with ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef6aa74e53e6fc8a1bb09d41c23b0d2d
https://doi.org/10.1109/vast.2017.8585568
https://doi.org/10.1109/vast.2017.8585568