Ready for the solution? Click here to see if you’re right-and to get an insanely in-depth breakdown of how to solve this problem, plus the complete answers to 100+ other challenging riddles. Fortunately, your phone has all the tools you need to sort out this trigonometric conundrum. Once upon a time, you’d have to scour through a reference manual in order to solve this problem. Flight Control calls back from the tower with some more details: The 350-foot tall tower is 7,000 feet back from the edge of the airfield and they see the airplane at an angle of 19.9 degrees from the tower window at that same moment.Īfter a few calculations, the pilot suddenly knows their current altitude. The pilot looks ahead and down, and sees the edge of the airfield at an angle of declination of 27.9 degrees. No cheating!Īn airplane is flying in a straight line toward its landing strip when the pilot realizes their altimeter isn’t working. The following riddle is one particularly punishing problem-so go grab a pencil and a piece of scratch paper and prepare to rip your hair out (in the best way). Total <- as.Here at PopMech, we love mind-bending math and l ogic puzzles, which is why we regularly recruit the sharpest minds in the world to concoct riddles that will test your critical thinking, mathematics, and logic skills. Simp_arg_sf <- rmapshaper::ms_simplify(arg_sf) Rowwise %>% mutate(gini=rnorm(1,mean_val,stddv_val)) %>% ungroup %>% select(NAME_1,year,gini)) In this example I use rmapshaper::ms_simplify, I belive the default is to keep 5% of the vertices In geometry, the altitude is a line that passes through two very specific points on a triangle: a vertex, or corner of a triangle, and its opposite side at a right, or 90-degree, angle. Our professionals are here to help make sure you find the answers you need to your questions and our community is here to help other brainstorm. At Bimmerforums, you will find technical how-to information maintenance specifics audio advice wheel and tire combinations and model specific details not found anywhere else. I think the most important thing for speed is to reduce the detail of the geographical polygons. Bimmerforums is the preferred online BMW Forum and community for BMW owners. Is this the correct way to plot or animate a map? I think that it is related to the fact that when I merge, I am copying the "geometry" of each state once for every observation, and that might make it quite heavy. ![]() So then i can animate it with gganimate anim<-argentina + transition_states(year,īut I am pretty sure there is something wrong! It is taking it too long to animate it and the file goes so heavy that I have an error as a result that says I am out of memory. Geom_sf(col = NA, aes(fill=(gini),geometry=geometry)) + ![]() So I merge the values with the geometry of the state : total <- as.tibble(merge(gini,arg_sf, by="NAME_1")) I would like to animate the map, so each state changes its colour everytime the year changes. In the other hand I have some values in a data frame that shows how fair income is distributed in each state (there are 24 states) over 12 years. So i have the list of states "NAME_1" with its shape in "geometry". Hi there! I have an Argentina map with each state, that i got from GADM and converted it to sf.
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