Dear R Sig Geo People: I have a data frame with the following columns;
> str(sup1.df) 'data.frame': 88 obs. of 34 variables: $ OBJECTID : int 1 2 3 4 5 6 7 8 9 10 ... $ POLYID : int 60 63 61 59 21 5 78 73 17 22 ... $ SUM_POP100 : int 3881 13471 16716 2497 49277 33973 22317 49757 54978 26285 ... $ SUM_HU100 : int 2104 5120 3664 1133 31563 15192 7411 17530 28365 14911 ... $ SUM_TotPop : int 3881 13471 16716 2497 49277 33973 22317 49757 54978 26285 ... $ SUM_HispPop : int 711 10603 3266 603 7311 15914 15338 34780 12827 7890 ... $ SUM_NonHispPop: int 3170 2868 13450 1894 41966 18059 6979 14977 42151 18395 ... $ SUM_NHOneRace : int 3091 2798 13347 1880 41129 17769 6806 14786 40969 17991 ... $ SUM_NH_White : int 1353 1063 6092 15 34063 4920 1824 3805 19487 14604 ... $ SUM_NH_Black : int 1396 1623 6562 1853 2291 12080 4364 9403 12911 1530 ... $ SUM_NH_AmInd : int 11 21 29 5 69 80 12 70 105 72 ... $ SUM_NH_Asian : int 321 78 355 6 4551 638 574 1434 8290 1725 ... $ SUM_NH_HawPacI: int 1 2 1 0 11 5 6 6 16 11 ... $ SUM_NH_Other : int 9 11 308 1 144 46 26 68 160 49 ... $ SUM_NH_2orMore: int 79 70 103 14 837 290 173 191 1182 404 ... $ SUM_VAP_TotPop: int 3103 9734 16202 1859 42519 23857 14707 34648 42986 23200 ... $ SUM_VAP_HispPo: int 544 7525 3141 343 5966 10149 9720 22766 9211 6228 ... $ SUM_VAP_NonHis: int 2559 2209 13061 1516 36553 13708 4987 11882 33775 16972 ... $ SUM_VAP_NHOneR: int 2510 2161 12973 1505 35936 13536 4886 11758 33023 16674 ... $ SUM_VAP_NH_Whi: int 1310 956 5960 15 29948 4402 1563 3391 16611 13659 ... $ SUM_VAP_NH_Bla: int 885 1104 6344 1480 1960 8519 2837 7167 9687 1356 ... $ SUM_VAP_NH_AmI: int 11 20 29 3 55 52 8 56 73 66 ... $ SUM_VAP_NH_Asi: int 296 74 333 6 3850 533 461 1091 6533 1547 ... $ SUM_VAP_HawPac: int 1 1 1 0 10 5 5 6 15 8 ... $ SUM_VAP_NH_Oth: int 7 6 306 1 113 25 12 47 104 38 ... $ SUM_VAP_NH_2or: int 49 48 88 11 617 172 101 124 752 298 ... $ SUM_TotHousing: int 2104 5120 3664 1133 31563 15192 7411 17530 28365 14911 ... $ SUM_OccHU : int 1978 4406 2921 940 27432 11484 6734 15549 24994 13595 ... $ SUM_VacantHU : int 126 714 743 193 4131 3708 677 1981 3371 1316 ... $ Name : Factor w/ 88 levels "ACRES HOME","ADDICKS PARK TEN",..: 26 68 16 14 35 33 32 27 22 82 ... $ Shape : logi NA NA NA NA NA NA ... $ Shape_Length : num 16572 43119 39256 59785 75759 ... $ Shape_Area : num 1.30e+07 8.04e+07 7.55e+07 7.66e+07 2.30e+08 ... $ DENS10 : num 0.188 0.652 0.809 0.121 2.384 ... > There is no Longitude and latitude. How do I convert it to a spatial object, please? Thanks, Erin Erin M. Hodgess, PhD Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: hodge...@uhd.edu [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo