Discover Interpolation of Data
The black circles on this map represent the position of the actual measurement called a discrete data point.
The value of the data outside a black circle has been estimated using interpolation. Scientists use this technique because there is never enough time or money to measure every point in the area of interest.
Interpolation is based on Tobler’s Law of Geography, which states that “everything is related to everything else, but near things are more related than distant things”
In other words, points closer together in space are more likely to have similar values than points that are farther apart. This is called ‘spatial autocorrelation’. Interpolation is used in many fields, from photography to geology to GIS and remote sensing.
There are many different computer algorithms used to interpolate data points. Depending on which one you use, the final map can look different. Scientists choose between different algorithms based on the type of data and how the data will be used.
Try it at home
Here’s an activity that you can do at home:
Put 3-5 M&Ms in a petri dish or low clear dish with water in it. Watch the colors merge. When you are done, empty the dish and try it again using several different arrangements of color and position.