A small result from analyzing a long series of meteorological observations for Calgary.
The openair package makes it surprisingly straightforward to combine space–time interpolation and visualization within a single workflow, even for large datasets.
Here are the sectoral (wind direction × wind speed) mean air temperatures for Calgary.
What’s striking is how clearly the seasonal patterns emerge:
– a cold north-east sector in winter;
– a warm southern and southwestern sector in summer;
– transitional zones in spring and autumn;
– a strong Chinook influence from the southwest.
The polar format works exceptionally well here — the structure of the local climate becomes obvious at a glance, without the need for long tables or detailed descriptions.
Follow the #ClimateOfCalgary hashtag.
#Rstats #DataVisualization #OpenData #ClimateData #WeatherAnalysis #Calgary #DataScience #Environment #Research #Alberta #Canada #UrbanHealth #METAR #AviationWeather #Meteorology #DataAnalysis #WindRose #Chinook #WindDirection