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Choropleth Map in MATLAB

How to make a choropleth map in MATLAB.

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trace1 = struct(...
  'z', [21.71, 13.4, 227.8, 0.75, 4.8, 131.4, 0.18, 1.24, 536.2, 10.88, 2.52, 1483.0, 436.1, 77.91, 8.65, 34.05, 186.6, 4.28, 75.25, 527.8, 1.67, 9.24, 5.2, 2.09, 34.08, 19.55, 16.3, 2244.0, 1.1, 17.43, 55.08, 13.38, 65.29, 3.04, 1.98, 16.9, 32.16, 1794.0, 2.25, 1.73, 15.84, 264.1, 10360.0, 400.1, 0.72, 32.67, 14.11, 0.18, 50.46, 33.96, 57.18, 77.15, 5.6, 21.34, 205.6, 347.2, 1.58, 0.51, 64.05, 100.5, 284.9, 25.14, 15.4, 3.87, 26.36, 49.86, 0.16, 2.32, 4.17, 276.3, 2902.0, 7.15, 20.68, 0.92, 16.13, 3820.0, 35.48, 1.85, 246.4, 2.16, 0.84, 4.6, 58.3, 2.74, 1.04, 6.77, 3.14, 8.92, 19.37, 292.7, 129.7, 16.2, 2048.0, 856.1, 402.7, 232.2, 245.8, 4.08, 305.0, 2129.0, 13.92, 4770.0, 5.77, 36.55, 225.6, 62.72, 0.16, 28.0, 1410.0, 5.99, 179.3, 7.65, 11.71, 32.82, 47.5, 2.46, 2.07, 49.34, 5.11, 48.72, 63.93, 51.68, 10.92, 11.19, 4.41, 336.9, 2.41, 12.04, 10.57, 0.18, 4.29, 12.72, 1296.0, 0.34, 7.74, 6.06, 11.73, 4.66, 112.6, 16.59, 13.11, 19.64, 880.4, 11.1, 201.0, 11.85, 594.3, 8.29, 0.01, 1.23, 511.6, 80.54, 237.5, 0.65, 44.69, 16.1, 31.3, 208.2, 284.6, 552.2, 228.2, 93.52, 212.0, 199.0, 2057.0, 8.0, 0.81, 1.35, 0.56, 0.22, 0.75, 0.83, 1.86, 0.36, 777.9, 15.88, 42.65, 1.47, 5.41, 307.9, 304.1, 99.75, 49.93, 1.16, 2.37, 341.2, 11.89, 1400.0, 71.57, 70.03, 5.27, 3.84, 559.1, 679.0, 64.7, 529.5, 9.16, 36.62, 373.8, 4.51, 4.84, 0.49, 29.63, 49.12, 813.3, 43.5, 0.04, 26.09, 134.9, 416.4, 2848.0, 17420.0, 55.6, 63.08, 0.82, 209.2, 187.8, 5.08, 6.64, 45.45, 25.61, 13.74], ...
  'autocolorscale', false, ...
  'colorbar', struct(...
    'tickprefix', '$', ...
    'title', 'GDP
Billions US$'), ... 'colorscale', { { {0, 'rgb(5, 10, 172)'},{0.35, 'rgb(40, 60, 190)'},{0.5, 'rgb(70, 100, 245)'},{0.6, 'rgb(90, 120, 245)'},{0.7, 'rgb(106, 137, 247)'},{1, 'rgb(220, 220, 220)'} } }, ... 'locations', { {'AFG', 'ALB', 'DZA', 'ASM', 'AND', 'AGO', 'AIA', 'ATG', 'ARG', 'ARM', 'ABW', 'AUS', 'AUT', 'AZE', 'BHM', 'BHR', 'BGD', 'BRB', 'BLR', 'BEL', 'BLZ', 'BEN', 'BMU', 'BTN', 'BOL', 'BIH', 'BWA', 'BRA', 'VGB', 'BRN', 'BGR', 'BFA', 'MMR', 'BDI', 'CPV', 'KHM', 'CMR', 'CAN', 'CYM', 'CAF', 'TCD', 'CHL', 'CHN', 'COL', 'COM', 'COD', 'COG', 'COK', 'CRI', 'CIV', 'HRV', 'CUB', 'CUW', 'CYP', 'CZE', 'DNK', 'DJI', 'DMA', 'DOM', 'ECU', 'EGY', 'SLV', 'GNQ', 'ERI', 'EST', 'ETH', 'FLK', 'FRO', 'FJI', 'FIN', 'FRA', 'PYF', 'GAB', 'GMB', 'GEO', 'DEU', 'GHA', 'GIB', 'GRC', 'GRL', 'GRD', 'GUM', 'GTM', 'GGY', 'GNB', 'GIN', 'GUY', 'HTI', 'HND', 'HKG', 'HUN', 'ISL', 'IND', 'IDN', 'IRN', 'IRQ', 'IRL', 'IMN', 'ISR', 'ITA', 'JAM', 'JPN', 'JEY', 'JOR', 'KAZ', 'KEN', 'KIR', 'KOR', 'PRK', 'KSV', 'KWT', 'KGZ', 'LAO', 'LVA', 'LBN', 'LSO', 'LBR', 'LBY', 'LIE', 'LTU', 'LUX', 'MAC', 'MKD', 'MDG', 'MWI', 'MYS', 'MDV', 'MLI', 'MLT', 'MHL', 'MRT', 'MUS', 'MEX', 'FSM', 'MDA', 'MCO', 'MNG', 'MNE', 'MAR', 'MOZ', 'NAM', 'NPL', 'NLD', 'NCL', 'NZL', 'NIC', 'NGA', 'NER', 'NIU', 'MNP', 'NOR', 'OMN', 'PAK', 'PLW', 'PAN', 'PNG', 'PRY', 'PER', 'PHL', 'POL', 'PRT', 'PRI', 'QAT', 'ROU', 'RUS', 'RWA', 'KNA', 'LCA', 'MAF', 'SPM', 'VCT', 'WSM', 'SMR', 'STP', 'SAU', 'SEN', 'SRB', 'SYC', 'SLE', 'SGP', 'SXM', 'SVK', 'SVN', 'SLB', 'SOM', 'ZAF', 'SSD', 'ESP', 'LKA', 'SDN', 'SUR', 'SWZ', 'SWE', 'CHE', 'SYR', 'TWN', 'TJK', 'TZA', 'THA', 'TLS', 'TGO', 'TON', 'TTO', 'TUN', 'TUR', 'TKM', 'TUV', 'UGA', 'UKR', 'ARE', 'GBR', 'USA', 'URY', 'UZB', 'VUT', 'VEN', 'VNM', 'VGB', 'WBG', 'YEM', 'ZMB', 'ZWE'} }, ... 'locationssrc', 'chelsea_lyn:7904:51e00a', ... 'marker', struct('line', struct(... 'color', 'rgb(180,180,180)', ... 'width', 0.5)), ... 'reversescale', true, ... 'type', 'choropleth'); data = {trace1}; layout = struct(... 'geo', struct(... 'projection', struct('type', 'Mercator'), ... 'showcoastlines', false, ... 'showframe', false), ... 'title', '2014 Global GDP
Source: CIA World Factbook'); response = plotly(data, struct('layout', layout)); plot_url = response.url;
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