A bit new to R and I'm working on something a bit more challenging than I am used to- so here's whats going on:
Data inputs: 9 different shapefiles (.shp) of different point locations (lat, long) shapefile bounding box (lat/long corner points (14, 1) (15,1) (14, 2) (15,2)) 1 .csv of lat/long coordinates for points Goal: a- I want to randomly drop x number of points in a study area within the bounding box b- Then I want to add the .csv points to the mix c- Measure the distances from all these points to each of the 9 shapefiles locations, one at a time and save the results in a table or list d- run an regression analysis on the table or list created (I have this code all set to go) e- I want to save the outputs of the model in a new table (I have this code also) f- Run this whole process again x number of times and save x number of outputs in the table in order of creation Any help on steps a, b,c, or f would be appreciated M. -- View this message in context: http://r.789695.n4.nabble.com/Randomized-Points-in-space-saving-model-results-tp3922612p3922612.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.