Dear R gurus, I'm facing a challenge that I have a good feeling you could help me with. So far I'm stuck right at the beginning so I don't have any example to show you. Here is what I'm trying to do:
I have a polygon shape of lakes for which I have to be able to automatically determine if they are suitable (large enough) for a plane to land. To be suitable, we must be able to fit a rectangle of dimension 50m x 1500m in the lake without it touching any lake contour. Of course, the rectangle can be in any orientation in the lake, which makes the test a little harder. I can easily eliminate all the small lakes by using the extent and Pythagorean. For exemple: 1500 > sqrt(sum((bbox(lake)[,2] - bbox(lake)[,1])^2)) # measure the diagonal of the bbox of the lake (mtm projection) All those lake are definitely too small for a plane to land, however not all the lakes that are bigger than that will be large enough. Anybody have an idea how to place the rectangle and discriminate those lakes? Thanks for your help! Bastien Bastien Ferland-Raymond, M.Sc. Stat., M.Sc. Biol. Division des orientations et projets spéciaux Direction des inventaires forestiers Ministère des Ressources naturelles et de la Faune _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo