weathercan is an R package designed to make it easy to access historical weather data from Environment and Climate Change Canada (ECCC). It downloads, combines, cleans, and transforms the data from multiple weather stations and across long time frames. So when you access ECCC data, you get everything in one dataset. Nifty, eh?

Now we add the weathercan data (by station_id AND date to match the weather from the correct station and on the correct day). Note that I specify the suffix argument. This is because both weathercan data and stream data have lat and lon columns. By specifying a suffix, these columns will be renamed with this suffix. That way I can remind myself of which one is which.


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While the weathercan data is spatial, it only reflects spatial points. You may wish to average over regions or plot these points on a map, which would allow you to look at your data in a different, more visual manner, and to use it in more spatially explicit analyses.

I hope these examples will help guide you in the many ways in which you can integrate weathercan data into other data sets. There are many different types of data to integrate, but generally, the same principles apply to merging weathercan data as to merging all data:

I am running the "weathercan" data package ( -project.org/web/packages/weathercan/index.html; ) and keep getting an error when trying to retrieved data from the Environment and Climate Change historic weather data website. I've re-installed the package, I even reinstalled R and RStudio after deleting everything R from my system, but the error persists. ff782bc1db

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