Hello Stata users;
I hope I could get some help with this.
I do have this data at hand:
As you can see, it is some mapping data for the Tunisian region of Nabeul. Not all districts' names are available, but, I only need those who are available for the study. I also have got the Population variable of those districts.
I have also worked with this code before: spmap using nabcoord, id(ID) name(del_label2) label(x(x_centroid) y(y_centroid) l(alt_name_f))
What I want to do know is draw the map of the region using spmap command, and the geographic variable of "Population", yet, I don't want to have the population size numbers on each centroid of district, more like, I have those represented by different circles sizes (like, 3 size categories for instance: from 0 to 2000 is a small size, from 2000 to 3999 is a medium size, and from 4000 is a big circle size).
Any help please? I will be so greatful!
I also put the nabcoord database here:
I hope I could get some help with this.
I do have this data at hand:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int ID float(x_centroid y_centroid) str21 alt_name_f str4 ref_tn_cod byte code_gouve str6 Nom_gouver float Population 79 636384.9 4065126 "SOLIMAN" "" . "" 880 80 650102.3 4074666 "" "" . "" . 81 684200.4 4088900 "" "" . "" . 82 680216.3 4082860 "KELIBIA" "" . "" 2000 83 665135.9 4065032 "" "" . "" . 84 670452.8 4074543 "M. TEMIME" "" . "" 2000 85 661669.3 4053786 "KORBA" "" . "" 2000 86 658415.8 4043640 "B. KHIAR" "" . "" 925 87 652314.5 4042953 "D. CHAABANE" "" . "" 1250 88 650455.3 4037900 "NABEUL" "" . "" 4000 89 670731.5 4091291 "" "" . "" . 100 633880.6 4032543 "HAMMAMET" "" . "" 1030 101 641337.9 4043444.5 "" "" . "" . 102 629273.3 4049610.5 "GROMBALIA" "" . "" 50 103 645740.1 4054447 "B. KHALLED" "" . "" 532 104 649132.5 4062233 "M. BOUZELFA" "" . "" 2000 1 . . "SOLIMAN" "1561" 15 "NABEUL" 880 2 . . "" "1560" 15 "NABEUL" . 3 . . "" "1558" 15 "NABEUL" . 4 . . "KELIBIA" "1557" 15 "NABEUL" 2000 5 . . "" "1556" 15 "NABEUL" . 6 . . "M. TEMIME" "1555" 15 "NABEUL" 2000 7 . . "KORBA" "1554" 15 "NABEUL" 2000 8 . . "B. KHIAR" "1553" 15 "NABEUL" 925 9 . . "D. CHAABANE" "1552" 15 "NABEUL" 1250 10 . . "NABEUL" "1551" 15 "NABEUL" 4000 11 . . "" "1559" 15 "NABEUL" . 12 . . "HAMMAMET" "1566" 15 "NABEUL" 1030 13 . . "" "1565" 15 "NABEUL" . 14 . . "GROMBALIA" "1564" 15 "NABEUL" 50 15 . . "B. KHALLED" "1563" 15 "NABEUL" 532 16 . . "M. BOUZELFA" "1562" 15 "NABEUL" 2000 end
I have also worked with this code before: spmap using nabcoord, id(ID) name(del_label2) label(x(x_centroid) y(y_centroid) l(alt_name_f))
What I want to do know is draw the map of the region using spmap command, and the geographic variable of "Population", yet, I don't want to have the population size numbers on each centroid of district, more like, I have those represented by different circles sizes (like, 3 size categories for instance: from 0 to 2000 is a small size, from 2000 to 3999 is a medium size, and from 4000 is a big circle size).
Any help please? I will be so greatful!
I also put the nabcoord database here:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int _ID double(_X _Y) 79 . . 79 643719.0097809344 4065397.985888253 79 643507.66303756 4065479.6965779252 79 643397.2683620898 4065549.166603131 79 643266.8591972173 4065584.4226689884 79 643165.910818537 4065571.13517296 79 643090.8402049756 4065509.2653827732 79 642994.7163943785 4065475.5641029812 79 642902.356209338 4065537.318639985 79 642792.2743505294 4065642.445729448 79 642733.2080151092 4065640.5717118313 79 642697.6157792456 4065627.4932455546 79 642513.9500107938 4065581.6390932705 79 642356.3488795573 4065583.4747648626 79 642203.9075387175 4065597.872390695 79 642152.7585418638 4065550.668900691 79 642116.5492822969 4065467.159920128 79 642058.6811337558 4065393.101186407 79 641983.1368363592 4065359.7534369547 79 641846.2879572674 4065297.757283308 79 641783.6910777026 4065238.7697745776 79 641711.4665546016 4065112.762865629 79 641639.2190863058 4065096.4183209613 79 641522.6767078146 4065105.1864829166 79 641375.0216262788 4065154.4457128276 79 641225.788193282 4065191.2081782166 79 641140.414119743 4065210.2950268663 79 641009.2500110933 4065237.5495898477 79 640869.4723356834 4065135.4051512284 79 640722.1991403885 4064998.3615325205 79 640553.8461946638 4064945.667142505 79 640399.4857267806 4064967.212233017 79 640314.0485590802 4065045.1429494657 79 640205.1240076906 4065244.8347275727 79 640098.7059775137 4065400.8796562636 79 639961.8989065951 4065499.3672041246 79 639866.9853498009 4065554.875122868 79 639808.8645415527 4065550.3513178253 79 639743.2038170223 4065404.8721126434 79 639631.6954327582 4065435.1430877554 79 639542.6073341086 4065517.482412778 79 639534.3109666264 4065586.8810175126 79 639466.7889781356 4065659.2971726586 79 639382.7777996637 4065585.508018123 79 639490.6182495717 4065345.1406541853 79 639313.811502373 4065226.3721011505 79 639398.6227576805 4064995.981986067 79 639532.059394414 4064842.9440929363 79 639285.1383262319 4064689.9085228345 79 639475.4246700619 4064492.2646432575 79 639116.6214017167 4064188.3895169212 79 638670.5399816964 4063816.8778492603 79 638525.0971793868 4063684.1214421345 79 638555.1356971075 4063626.6596420542 79 638498.3415347021 4063282.1457331865 79 638310.3537047509 4063208.7283352786 79 638616.2357488623 4062677.552016537 79 638942.8422944704 4062152.9027213585 79 639323.1482910842 4061397.2342247176 79 639030.9571147526 4061208.2200857336 79 639127.528732935 4061023.4490795964 79 639197.7740214833 4061051.511842774 79 639273.5257636117 4060868.4679110716 79 639318.057300887 4060815.3610519613 79 639427.9401059857 4060835.781178719 79 639452.119115724 4060755.4335411047 79 639675.8574041356 4060297.3468453865 79 639471.7131217169 4060190.485759427 79 639584.909624557 4060008.0428940905 79 639470.3972356005 4059888.1395932743 79 639494.284565394 4059826.407951081 79 639458.8826065317 4059701.5903800656 79 639314.6527826259 4059618.4803051096 79 639348.8225127276 4059563.129788127 79 639200.5011220593 4059475.8161111237 79 639096.8025178383 4059585.955295161 79 638947.740557435 4059544.1867899965 79 638822.2988268137 4059648.8053390314 79 637673.1076439266 4058816.409009769 79 638867.7499494086 4057998.982130794 79 638894.4202016338 4057925.509187509 79 638816.603183345 4057886.896589909 79 638829.9321830035 4057836.1779053733 79 638760.1239295822 4057794.299951742 79 638707.8635510412 4057722.1347256396 79 638617.1543645716 4057636.908502004 79 638490.4113847228 4057530.716261295 79 638390.1691878084 4057472.5036725663 79 638319.9724771144 4057454.3926617373 79 638197.3261911657 4057375.436147187 79 638036.4915782078 4057267.5697261677 79 638049.8166482439 4057216.8499825466 79 638065.047853515 4057188.798414817 79 638037.4881221701 4057135.145527478 79 637985.8337142171 4057094.6985125006 79 637960.2066267283 4057062.582594302 79 637867.0305631284 4056988.644061727 79 637975.3345233861 4056899.8142211125 79 638078.5072649226 4056847.1451462125 79 638303.2948341626 4056726.2395595964 end
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