Hi,

You can make a 3D plot, and codify your data points using colors, symbols, symbol size, etc.

You could even make it interactive. I made some 3D interactive plots with codified points in R, which I later embedded in a html file to use it as supporting material for a paper. (http://www.zo.utexas.edu/faculty/pianka/modelsMK/thermoregulation.html). We refer to those as 3D plots, but they would actually fit to your need of plotting 4 variables in a single figure.

Depending on your data, you could try with Plotly in R, or create Shinny apps with R. There is a universe to explore in this field.

Good luck!

What you will get when you plot 4 points is a kind of sheet. It's easy to do in MatLb or you can do it in R, with the package ·· You can also choose to do a modeling of the species you are analyzing with the following. Install the packages Install the fuzzySim packages (http: fuzzysim.r-forge.r-project.org) and modEvA (http: modeva.r.-forge.r-project.org That at the moment they are not available in the CRAN (the official repository of R), but in R-Forge (a more experimental platform). To model a single species with a generalized linear model (GLM), we can use the function glm of R We can also create a multivariate model, with several predictor variables.

names (data) # see in which columns are the predictor variables paste (names (data) [21:45], collapse = "") # Copy variables from the console to use in the following command: model.perdicera

Sorry but I was not able to see nicholas pelegrins plot.

Generally you can not plot more than three dimensional data on a two dimensional space such as a screen or paper.

Therefore, what we do in oceanography is use transects. The easiest way to plot marine data is by using ODV (ocean data view).

To get a feeling of this method you can look at the ctd2odv screencasts here

http://yairsuari.blogspot.co.il/2015/02/?m=1

And a primer to odv sections can be found here

https://youtu.be/4po-klydN9k

I am well aware of the limited number of axis you can display, I even tried to use colors as additional axes.

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102903

Thanks for the answers, expecially Nicolas. However they do not fully satisfy my needs. I need to create something like this chart made by Jingping Xu in the paper “Bacterial Contamination at Huntington Beach, California—Is It From a Local Offshore Wastewater Outfall?”

Now you added an example is easier to understand what you need.

Here you have an R script to make a topographical 3d plot:

https://stat.ethz.ch/pipermail/r-help/2010-July/247505.html

After having your topographical plot, you will need to overlap slices representing variables. Take a look at Fig 3 in page 6 from this manual:

https://cran.r-project.org/web/packages/plot3D/vignettes/plot3D.pdf

I haven't done this fusion before, so I can't give you a full script to do it, but I think this is the way to go.

Let me know how are you going with this, I might be able to help you.

Cheers

Hi. It seems that you need to represent 4 items (latitude-longitude-depth-variable), in other words to plot of (x, y, z, color). For something similar, I used the "plot3D" and "rgl" package, but with the altitude in continent (Chubut Province).

This tutorial from sthda can be helpful -> http://www.sthda.com/english/wiki/impressive-package-for-3d-and-4d-graph-r-software-and-data-visualization

I hope this helps.

Cheers

Ignacio

I take this question because I have a question and I would like to ask you. I'm interested in making a graphic like the image, I use the beta.div.comp function of the adespatial package to find the components of diversity. Then to graph it on a graph like this gives me an error. Can somebody help me?

Consistent variability in beta-diversity patterns contrasts

with changes in alpha-diversity along an onshore to offshore

environmental gradient: the case of Red Sea soft-bottom

macrobenthos

Alsaffar et al., 2017

I take this question because I have a question and I would like to ask you. I'm interested in making a graphic like the image, I use the beta.div.comp function of the adespatial package to find the components of diversity. Then to graph it on a graph like this gives me an error. Can somebody help me?