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A collection of resources on data science and machine learning primarily in R.

The following note documents a proof of concept for classifying vegetation with 4 band 0.1m aerial imagery. We used sagebrush, bare ground, grass, and PJ for classes. approximately 300 training polygons were used as a training data.

Load the libraries.

This is a basic line chart built with D3. I've written a few more tutorials on how to make charts starting out very basic and moving to a little more complex. I'm no expert, so these are how a beginner (at both javascript and D3) would explain everything. Some might find that methodology helpful. My previous tutorials: My first charts, SVG Plots, Scatterplot.

I've made a few bar charts up to this point. But really what I want to do is plot data over time. We need to figure out how to add x and y axis and work with x and y coordinates. The next logical step then, is to make a scatterplot.

So the next big steps in making charts is instead of using html elements, d3 works really well with svg elements. But even though svg elements are a flexible for making graphics, not that many people are familiar with them so they add another level of confusion to the process. So let's start at the beginning with what an svg element is.