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R: Mapping Super Typhoon Yolanda (Haiyan) Track

After reading Enrico Tonini post , I decided to map the super typhoon Haiyan track using OpenStreetMap , maptools , and ggplot2 . If mapping with googleVis was possible with 13 lines only, that can also be achieved with the packages I used; but because I play with the aesthetic of the map, thus I got more than that. The data was taken from Weather Underground , and just to be consistent with the units from JMA Best Track Data , which I utilized for mapping typhoon Labuyo (Utor) , the wind speed in miles per hour (mph) was converted to knots. So here is the final output, Labels: TD - Tropical Depression TS - Tropical Storm TY - Typhoon STY - Super Typhoon As for the super typhoon, please don't visit my country again. I would like to thank all who prayed for Philippines, especially for countries who helped us recover from this tragedy. Codes:

R: Mapping Philippine Earthquakes (October 2013)

Last month, October 15, 2013 around 8:12 am (Philippine Time), a magnitude 7.2 earthquake hit Bohol island, detroying several infrastructures and killing hundreds of residents. The Philippine Institute of Volcanology and Seismology or PhiVolcs recorded more than 3000 aftershocks, but only a fraction of these is available in their Earthquake Bulletin . There are 448 data points in total for last month's earthquakes, and here is the final output, Adding layer for two-dimensional density of the data points, we have

R: Mapping Typhoon Labuyo (Utor) Track

Inspired by James Cheshire R maps, I tried mapping the track of Typhoon Labuyo (Utor) that by far the strongest one to hit Philippines this year. The data is available at Japan Meteorological Agency site, the 2013 - RSMC Best Track data . The code is available here . Final Output ( Click to enlarge ) Bonus, the Severe Tropical Storm Auring (Sonamu) path