Dear all, I have to make a last minute map...my thesis is due in a few days and our GIS lady fell ill, so my supervisor asked me to try in R., but I am a beginner. I've searched online, but have not found something at the global scale.
I have a global dataset of dependent values (eg. rate of common cold) for 100/240 countries/offshore territories. I have a predictor variable (eg. Human development index or HDI). What I would like to do is colour a global map by HDI grouping (low [0-0.5], medium[0.51-0.7], high[0.71-1.0]). So for countries that I have data for, if it is low HDI it would be colour1, medium colour 2, low colour3. For countries with no data they will be a fourth colour (grey). Additionally, some small island nations will be too small to be visualized. Is there a way to manually increase the size of the colouration to be visible on a map at the global scale? My data is as such (where blanks are no data): Country HDI Colds Albania 0.42 .72 Austria 0.89 China 0 .76 .12 Could anyone direct me to some sample code and/or which package would be best. Any help would be greatly appreciated. Cheers, Sarah [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.