Plot Food Web

版本 1.4.0.3 (19.8 KB) 作者: Francisco de Castro
Functions for ecological modelling
0.0
(0)
724.0 次下载
更新时间 2019/12/6
在 GitHub 上查看许可证

PLOTFOODWEB makes it easy to produce beautiful 3D or 2D figures of ecological food webs. The only required argument is the adjacency matrix of predator-prey connections. Sizes, colors, trophic levels, and the spatial arrangement can be specified as optional arguments. The submission figure shows three possibilities. In the top-left is the default type. The top-right is high-quality with random arrangement and the size of spheres as a function of the Log of body mass. At the bottom, a biplot where species are arranged according to mass (X-axis) and trophic level (Y-axis).

引用格式

Francisco de Castro (2024). Plot Food Web (https://github.com/capahaddock/Ecology), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2008b
兼容任何版本
平台兼容性
Windows macOS Linux
致谢

参考作品: Patchline

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无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
1.4.0.3

Connect to Github
1.4.0.2

Corrected detail in the help.
1.4.0.1

new figure
1.4.0.0

Add a new type of plot. Reorganize help
1.3.0.0

Use default color map if Brewer color function is not installed.
Forgot to include the file in previous update
Change 'mds' option in 'arrange' for 'pca' (principal components analysis).
Added option to color by kmeans clustering of adjacency matrix.
Correct brewer colormap problem
Correct minor typos in help
Added required function 'calcarc'
1.2.0.0

Ability to specify variable line colors.
Possibility to use curved lines
Ability to provide a full interactions matrix, not just adjacency matrix of 0 and 1.
1.1.0.0

Option to plot in 2D
Option to arrange species by multidimensional scaling
Faster plotting
Optional transparency of lines
Option to plot the food web in 2D.
Option to arrange species in 3D with mutidimensional scaling
Faster plotting of cylinders connecting species
Optional transparency of lines
Rearranged and improved help
Added missing function fwrotation
1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。