Graphs with two axes
can also be called:
How can I use graphs in the geosciences?
An overview of the use of plots
Graphs as a way to visualize numerical data
Advances in technology have meant that geoscientists can collect large volumes of numerical data in short periods of time - from geochemical analyses of rocks, to measurements of angles, to the composition of the atmosphere. With all those numbers (like the table of carbon dioxide measurements to the right), how can we tell what the data is telling us? One way that geoscientists process data is to use x-y plots (those with two axes). Any geoscience data that show a relationship between two variables (distance vs. elevation, velocity vs. depth, etc.) can be plotted on an x-y graph. Some examples in introductory geosciences include topographic profiles showing what the land surface looks like, velocity of earthquake waves in the earth, the likelihood that a river will flood, the rate of glacial retreat.
Why should I use x-y graphs?
These pages are designed to help you do complete exercises that are commonly associated with the use of graphs in the geosciences. In an introductory geoscience course, you might be asked to do one (or more) of three activities having to do with graphs. Decide which of these things you need help with and click on the link. (If you need help with all of these, begin with the first link and you will be directed to the next exercise from there.):
- Plot points on a piece of graphing paper
- Construct a line through the points you plotted (or that are already plotted). In introductory geosciences, there are two ways that you may be asked to do this.
- Construct a best fit line (a straight line that mimics the trend of the points)
- Connect points with a smooth curve
- Read points off a line (either the one you constructed or one that is provided for you).
More help with graphs
You can complete the pages linked above with no extra help. If you feel like you need more help, or more information about graphs, here are some links to help you think about graphs on the whole.
- Visionlearning has a page about visualizing scientific data and it was written by a geoscientist!
- Canada's National Statistical Agency has an entire unit about graphs. Including information about using graphs, scatterplots (related to best fit lines), and line graphs (connecting the dots)
- The Gallery of Data Visualization has the best and worst of graphical representations.