I am pretty sure there are other ways to do it, but the method I devised is simple and produces a good enough result. If somebody can put a hole in my reasoning, feel free to do so.
All the info I need are in a map, OK? So I downloaded a map from the Internet. I choose a map that shows only the territory I am interested in and nothing else: http://www.temasactuales.com/temasblog/wp-content/Images/mapa_do_brasil.gif The method goes like this: I scan the image counting every pixel that is not background color. It gives my territory area. Then I divide that by 2 to obtain half the area. I scan the image again from top to bottom, stopping when I reach half the area. I draw a horizontal line dividing north and south. Finally I scan the image from left to right stopping at half area and draw a vertical line dividing east from west. The point I am interested in is in the intersection of those two lines. My Go program has some small optimizations so that I don't have to actually scan the image so many times, but the idea is the same. The resulting image: https://drive.google.com/file/d/163K79BWKRTmI3BOIMUsPf7ziISwt-R3z/view?usp=sharing The github repo: https://github.com/jucie/geomedian The file I used to calculate the digest in the first message is attached. Thank you, my friends, I hope you enjoyed the challenge. MD5 SHA-1 ------------------------------ 4c021557d057327f2977dd739b67da6b b3913154ca0c5f48f3555c536fc987322169e607 ihavetheanswer.txt -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/4af4cd54-5994-49b4-9f48-e9cfd3e7271a%40googlegroups.com.
The geographic median of Brazil is in Para's south region, as can be verified using my program geomedian, available in github.
