I have daily spatiotemporal data with covariates at 10 different locations. My question is is it possible to convert my data into a grid format?

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    $\begingroup$ Hello, and welcome to Stack Exchange. I'm no expert, but I'm guessing that even the experts would have trouble understanding what you mean. A few more sentences of explanation would really help. $\endgroup$ Jun 22 '18 at 3:17
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    $\begingroup$ The answer is almost certainly "Yes". But if you want more help you'll need to give a lot more detail on what you're trying to do, and perhaps what tools you have to do it. $\endgroup$ Jun 22 '18 at 8:25
  • $\begingroup$ Please do expand. My mental image right now is taht you have 10 locations with a whole bunch of data for each one. 10 points isn't much of a grid. When I've used digital elevation models, I've found that you have to be at least two rows from the edge to get reasonable interpolations (bicubic) $\endgroup$ Jun 23 '18 at 12:19

Yes, but it will not be a very good dataset. You will only be limited to the size of the dataset.

You can use Python's griddata function. But of course, you will need to make your grid before using the function. Or you can use the interp2d function.


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