Results 21 to 30 of about 257,775 (300)

Plots.jl – A User Extendable Plotting API for the Julia Programming Language

open access: yesJournal of Open Research Software, 2023
There are many excellent plotting libraries. Each excels at a specific use case: one is particularly suited for creating printable 2D figures for publication, another for generating interactive 3D graphics, while a third may have excellent LATEX ...
Simon Christ   +4 more
doaj   +1 more source

Visualizing Social Change with Ryder Plots: The Rise and Fall of Verbal Ability in the United States

open access: yesSocius, 2023
Sociologists and demographers often use Lexis diagrams to visualize temporal data. However, the traditional Lexis plot arranges the data in a matrix of right triangles, with age on the vertical axis and period on the horizontal axis.
Ethan Fosse
doaj   +1 more source

vdmR: Generating Web-Based Visual Data Mining Tools with R

open access: yesJournal of Statistical Software, 2017
The vdmR package generates web-based visual data mining tools by adding interactive functions to ggplot2 graphics. Brushing and linking between multiple plots is one of the main features of this package.
Tomokazu Fujino
doaj   +1 more source

Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics

open access: yesPlant Phenomics, 2022
Forested environments feature a highly complex radiation regime, and solar radiation is hindered from penetrating into the forest by the 3D canopy structure; hence, canopy shortwave radiation varies spatiotemporally, seasonally, and meteorologically ...
Xinbo Xue   +9 more
doaj   +1 more source

Rational Cubics and Conics Representation: A Practical Approach

open access: yesInternational Islamic University Malaysia Engineering Journal, 2012
A rational cubic spline, with one family of shape parameters, has been discussed with the view to its application in Computer Graphics. It incorporates both conic sections and parametric cubic curves as special cases.
M. Sarfraz, Z. Habib
doaj   +1 more source

Perprof-py: A Python Package for Performance Profile of Mathematical Optimization Software

open access: yesJournal of Open Research Software, 2016
A very important area of research in the field of Mathematical Optimization is the benchmarking of optimization packages to compare solvers. During benchmarking, one usually collects a large amount of information like CPU time, number of functions ...
Abel Soares Siqueira   +2 more
doaj   +1 more source

Viability of using multidimensional graphics in epidemiological data analysis: case study with respiratory diseases - 10.4025/actascihealthsci.v34ispec.10055

open access: yesActa Scientiarum. Health Sciences, 2012
The statistical methodology to be used in epidemiological data analysis is extremely important for obtaining reliable and plausible results that can be interpreted in the epidemiological context.
Elisa Norberto Ferreira Santos   +1 more
doaj   +1 more source

Hierarchical Archimedean Copulae: The HAC Package

open access: yesJournal of Statistical Software, 2014
This paper presents the R package HAC, which provides user friendly methods for dealing with hierarchical Archimedean copulae (HAC). Computationally efficient estimation procedures allow to recover the structure and the parameters of HAC from data.
Ostap Okhrin, Alexander Ristig
doaj   +1 more source

Blue Noise Plots [PDF]

open access: yesarXiv, 2021
We propose Blue Noise Plots, two-dimensional dot plots that depict data points of univariate data sets. While often one-dimensional strip plots are used to depict such data, one of their main problems is visual clutter which results from overlap. To reduce this overlap, jitter plots were introduced, whereby an additional, non-encoding plot dimension is
arxiv  

Viability of using multidimensional graphics in epidemiological data analysis: case study with respiratory diseases = Viabilidade do uso gráfico multidimensional para análise de dados epidemiológicos: estudo de caso com doenças respiratórias [PDF]

open access: yesActa Scientiarum. Health Sciences, 2012
The statistical methodology to be used in epidemiological data analysis is extremely important for obtaining reliable and plausible results that can be interpreted in the epidemiological context.
Elisa Norberto Ferreira Santos   +1 more
doaj   +1 more source

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