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: hodgesse@uhd.edu


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