R/tspdata.R

In ToshihiroIguchi/qatsp: Quantum annealing for traveling salesman problem

#評価用のデータ

#http://www.math.uwaterloo.ca/tsp/world/countries.html
Djibouti <- data.frame(
  x = c(11003.61,11108.61,11133.33,11155.83,11183.33,11297.50,
        11310.28,11416.67,11423.89,11438.33,11461.11,11485.56,
        11503.06,11511.39,11522.22,11569.44,11583.33,11595.00,
        11600.00,11690.56,11715.83,11751.11,11770.28,11785.28,
        11822.78,11846.94,11963.06,11973.06,12058.33,12149.44,
        12286.94,12300.00,12355.83,12363.33,12372.78,12386.67,
        12421.67,12645.00),

  y = c(42102.50,42373.89,42885.83,42712.50,42933.33,42853.33,
        42929.44,42983.33,43000.28,42057.22,43252.78,43187.22,
        42855.28,42106.39,42841.94,43136.67,43150.00,43148.06,
        43150.00,42686.67,41836.11,42814.44,42651.94,42884.44,
        42673.61,42660.56,43290.56,43026.11,42195.56,42477.50,
        43355.56,42433.33,43156.39,43189.17,42711.39,43334.72,
        42895.56,42973.33)
)


#千葉県の自治体の緯度と経度
#http://www.gsi.go.jp/KOKUJYOHO/CENTER/kendata/chiba_heso.htm
Chiba <- data.frame(
  latitude = c(140.1064, 140.1247, 140.0692, 140.1072, 140.1556, 140.1764, 140.0631,
               140.8267, 139.9311, 139.9825, 139.8700, 139.9250, 139.9031, 139.8747,
               140.2881, 140.3183, 140.2239, 140.3661, 140.6467, 140.0272, 139.9764,
               140.3211, 140.1156, 139.9025, 140.0997, 140.0283, 140.0989, 140.0008,
               139.9025, 139.8569, 139.9019, 140.1683, 139.9547, 140.3183, 140.1458,
               140.0558, 140.3431, 139.8403, 140.5644, 140.4992, 140.4136, 140.3853,
               140.3211, 140.2694, 140.2439, 140.4053, 140.4678, 140.6689, 140.4406,
               140.4142, 140.5042, 140.3686, 140.3192, 140.3542, 140.3744, 140.2269,
               140.2372, 140.2453, 140.3486, 139.8356),
  longitude = c(35.60722, 35.60889, 35.66278, 35.63639, 35.63417, 35.56028, 35.64028,
                35.73472, 35.72194, 35.69472, 34.99667, 35.38111, 35.78778, 35.95500,
                35.42833, 35.77667, 35.72389, 35.56000, 35.72028, 35.68167, 35.86806,
                35.15250, 35.49806, 35.85611, 35.72250, 35.86417, 35.11417, 35.77694,
                35.33056, 35.30417, 35.65306, 35.67000, 35.43000, 35.66583, 35.83222,
                35.79111, 35.72667, 35.04333, 35.70778, 35.89778, 35.60278, 35.25389,
                35.52167, 35.72500, 35.84083, 35.90167, 35.73556, 35.83722, 35.53500,
                35.69306, 35.66556, 35.37250, 35.36111, 35.41222, 35.45444, 35.43111,
                35.38667, 35.28528, 35.19167, 35.11111)
)