Appending Graphs in Palyoplot Tutorial Now Available

We’ve all been there… created a bunch of graphs that now we have to copy/paste together in image editing software. It just disrupts the workflow, you know? I like to make less work for myself. That’s not to say I don’t still need to tweak this in an image editor, but I can at least minimize how often I have to. Enter the ability to append (that means sticking together one after another) graphic into one diagram! The tutorial for how to do so is now available. Here’s a sneak peak of two stacked plots appended into one image (notice, y-axis appears only on the left and is not duplicated for each plot. I give you options like that… 😉 )

Two stacked diagrams appended into one final image

Palyoplot Stacked Diagram Tutorial is Up

Sometimes you just want to stack a bunch of (related) data together for visualization. The tutorial for how to do so with Palyoplot is now up to show you how to do just that! Here’s a sneak peak of what you can create…

Basic Palyoplot Tutorial is Up

Seems I’m being extra productive today. Created a basic tutorial on creating diagrams using Palyoplot’s built-in datasets. It should be enough to get you started with the functionality and exploring how the datasets are setup in R.

To give you a little bit of a sneak peak before heading over there

library(palyoplot)
axis2 = palyoplot_get2ndAxis(interval=2, top=-20, bottom=115, ages=pp_agemodel)
graph1 = palyoplot_plotTaxa(xdata=pp_xdata, ydata=pp_ydata, ylabel="cal yr BP", bottomLabel="Percentages", 
                            colors=pp_colors, y2=axis2, y2label="depth (cm)", fontstyles=pp_fontStyles,
                            taxaGroups=pp_taxaGroups, plotStyle="line"))

Palyoplot is available for alpha testing

I’ve created an R package called Palyoplot (get it? Paleo… palynology… plotting) for creating stratigraphic plots of Quaternary Science data (pollen, charcoal, diatoms, that sort of thing). The thing is, I need testers. Well, more than just myself and former lab mates that I can harangue into trying it out (yes yes, I know you’re counting and haven’t touched R in over a year, but can’t you relearn R really quick and try it out for me?)

Sample diagram created using Palyoplot

So, I’ve created a page that briefly explains Palyoplot, made a Download page with sample files, and am putting out the call. I need a few testers before I’m comfortable releasing to CRAN. If you’re willing to help, drop me a line. If you’re stuck more than 5 minutes, email me. I’ll gladly go through your files and figure out what went wrong. Bonus, your feedback will help with the tutorial I’ll be working to develop.

I look forward to hearing from you!

How to export ArcGIS to Illustrator

Have you ever made a map in ArcGIS and wondered sadly: “wow, is this really the best I can get my map to look?” (ok, maybe that’s just me). But, if you’ve ever wondered why production quality maps look so much better than yours (let’s ignore a lot of recent journal publications here), it’s because the author cared enough to actually make the map look good. The good news? You can do it too! In this post we’re going to focus on getting your vector map out of ArcMap reliably and in to a real graphics program – Adobe Illustrator. For the following I’m assuming you have a working knowledge of Illustrator.

There are two camps of thought on using ArcMap and Illustrator together: Do most of what you can in Arc first VS. do the minimum in Arc and get it into Illustrator ASAP! What camp you’ll fall in to will likely depend on your experience/comfort with each piece of software. That’s only going to come with experience. So, play around both ways. It might feel like a time sink to mess with the same map at least twice, but in the long run your experimentation will save you a lot of time and grief, and help you develop the workflow that works best for you. I’m not going to tell you what’s best, but there are certain things you need to do regardless – that’s what we’ll focus on.

Continue reading “How to export ArcGIS to Illustrator”