Hi All,
I have plotted my data on a map in stata for different time periods. But in one of my maps, some parts of the map is not showing and instead of four legends only 3 is showing. I tried inspecting the data and see if there are missing values but found none. I cannot figure out why portion of the map is not showing. Any help will be appreciated.
The data I used is as below;
. dataex STATE NAME FIPS LON LAT id code frrid State y1 y2 y3 y4
----------------------- copy starting from the next line -----------------------
------------------ copy up to and including the previous line ------------------
Listed 48 out of 48 observations
With the command
foreach var in y1 y2 y3 y4 y5 y6 y7 y8 y9 y10{
spmap `var' using uscoord if frrid !=., id(id) fcolor(Greens) name(`var',replace)
}
Thanks,
Francis
I have plotted my data on a map in stata for different time periods. But in one of my maps, some parts of the map is not showing and instead of four legends only 3 is showing. I tried inspecting the data and see if there are missing values but found none. I cannot figure out why portion of the map is not showing. Any help will be appreciated.
The data I used is as below;
. dataex STATE NAME FIPS LON LAT id code frrid State y1 y2 y3 y4
----------------------- copy starting from the next line -----------------------
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str2 STATE str20 NAME str2 FIPS float(LON LAT) byte id float(code frrid) str2 State double(y1 y2 y3 y4) "AL" "Alabama" "01" -86.82676 32.79354 2 1 9 "AL" .0926 .1218 .1573 .1546 "AR" "Arkansas" "05" -92.4392 34.89977 3 2 8 "AR" .0365 .0957 .1488 .1598 "AZ" "Arizona" "04" -111.66457 34.29323 5 3 2 "AZ" .0991 .1156 .1355 .1491 "CA" "California" "06" -119.60818 37.24537 6 4 2 "CA" .0991 .1156 .1355 .1491 "CO" "Colorado" "08" -105.54783 38.99855 7 5 1 "CO" .2012 .1307 .1474 .177 "CT" "Connecticut" "09" -72.72623 41.62196 8 6 7 "CT" .1307 .1373 .1549 .1771 "DE" "Delaware" "10" -75.50592 38.99559 10 7 9 "DE" .0926 .1218 .1573 .1546 "FL" "Florida" "12" -82.50934 28.67402 11 8 2 "FL" .0991 .1156 .1355 .1491 "GA" "Georgia" "13" -83.44848 32.65155 12 9 9 "GA" .0926 .1218 .1573 .1546 "IA" "Iowa" "19" -93.50003 42.07463 14 10 5 "IA" .1467 .1544 .1601 .1588 "ID" "Idaho" "16" -114.65933 44.38907 15 11 2 "ID" .0991 .1156 .1355 .1491 "IL" "Illinois" "17" -89.19838 40.06501 16 12 5 "IL" .1467 .1544 .1601 .1588 "IN" "Indiana" "18" -86.27548 39.90801 17 13 5 "IN" .1467 .1544 .1601 .1588 "KS" "Kansas" "20" -98.38019 38.48471 18 14 4 "KS" .1403 .1615 .203 .2052 "KY" "Kentucky" "21" -85.29046 37.52668 19 15 8 "KY" .0365 .0957 .1488 .1598 "LA" "Louisiana" "22" -92.02905 31.0891 20 16 6 "LA" -.0537 .0738 .1467 .1628 "MA" "Massachusetts" "25" -71.81423 42.25788 21 17 7 "MA" .1307 .1373 .1549 .1771 "MD" "Maryland" "24" -76.78588 39.04533 56 18 9 "MD" .0926 .1218 .1573 .1546 "ME" "Maine" "23" -69.22999 45.38046 22 19 7 "ME" .1307 .1373 .1549 .1771 "MI" "Michigan" "26" -85.43675 44.34717 23 20 7 "MI" .1307 .1373 .1549 .1771 "MN" "Minnesota" "27" -94.31357 46.31189 24 21 7 "MN" .1307 .1373 .1549 .1771 "MO" "Missouri" "29" -92.38554 38.3208 52 22 5 "MO" .1467 .1544 .1601 .1588 "MS" "Mississippi" "28" -89.66553 32.75201 25 23 6 "MS" -.0537 .0738 .1467 .1628 "MT" "Montana" "30" -109.64507 47.0335 26 24 1 "MT" .2012 .1307 .1474 .177 "NC" "North Carolina" "37" -79.37865 35.54369 27 25 9 "NC" .0926 .1218 .1573 .1546 "ND" "North Dakota" "38" -100.46935 47.44626 28 26 3 "ND" .168 .1664 .1829 .2262 "NE" "Nebraska" "31" -99.81058 41.52709 29 27 3 "NE" .168 .1664 .1829 .2262 "NH" "New Hampshire" "33" -71.57754 43.68556 30 28 7 "NH" .1307 .1373 .1549 .1771 "NJ" "New Jersey" "34" -74.66876 40.20049 31 29 7 "NJ" .1307 .1373 .1549 .1771 "NM" "New Mexico" "35" -106.10837 34.42137 32 30 1 "NM" .2012 .1307 .1474 .177 "NV" "Nevada" "32" -116.65539 39.35648 33 31 1 "NV" .2012 .1307 .1474 .177 "NY" "New York" "36" -75.51491 42.94796 34 32 7 "NY" .1307 .1373 .1549 .1771 "OH" "Ohio" "39" -82.79002 40.2912 35 33 5 "OH" .1467 .1544 .1601 .1588 "OK" "Oklahoma" "40" -97.50819 35.58345 36 34 4 "OK" .1403 .1615 .203 .2052 "OR" "Oregon" "41" -120.55232 43.93589 37 35 1 "OR" .2012 .1307 .1474 .177 "PA" "Pennsylvania" "42" -77.7993 40.87368 38 36 7 "PA" .1307 .1373 .1549 .1771 "RI" "Rhode Island" "44" -71.55579 41.67544 40 37 7 "RI" .1307 .1373 .1549 .1771 "SC" "South Carolina" "45" -80.89899 33.93574 53 38 9 "SC" .0926 .1218 .1573 .1546 "SD" "South Dakota" "46" -100.23048 44.43614 41 39 3 "SD" .168 .1664 .1829 .2262 "TN" "Tennessee" "47" -86.34332 35.84299 42 40 8 "TN" .0365 .0957 .1488 .1598 "TX" "Texas" "48" -99.35939 31.49422 43 41 4 "TX" .1403 .1615 .203 .2052 "UT" "Utah" "49" -111.67822 39.32379 44 42 1 "UT" .2012 .1307 .1474 .177 "VA" "Virginia" "51" -78.82957 37.51637 45 43 9 "VA" .0926 .1218 .1573 .1546 "VT" "Vermont" "50" -72.66273 44.07511 47 44 7 "VT" .1307 .1373 .1549 .1771 "WA" "Washington" "53" -120.43997 47.38076 48 45 2 "WA" .0991 .1156 .1355 .1491 "WI" "Wisconsin" "55" -90.01144 44.63725 49 46 7 "WI" .1307 .1373 .1549 .1771 "WV" "West Virginia" "54" -80.61372 38.64259 50 47 8 "WV" .0365 .0957 .1488 .1598 "WY" "Wyoming" "56" -107.55144 42.99963 51 48 1 "WY" .2012 .1307 .1474 .177 end
Listed 48 out of 48 observations
With the command
foreach var in y1 y2 y3 y4 y5 y6 y7 y8 y9 y10{
spmap `var' using uscoord if frrid !=., id(id) fcolor(Greens) name(`var',replace)
}
Thanks,
Francis
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