# Get this figure: fig <- get_figure("etpinard", 7326)
# Get this figure's data: data <- get_figure("etpinard", 7326)$data
# Add data to this figure: p <- add_trace(p, x=c(4, 5), y=c(4, 5), kwargs=list(filename="World 3D model map (150km resolution)", fileopt="extend"))
# Get z data of first trace: z1 <- get_figure("etpinard", 7326)$data[[1]]$z

# Get figure documentation: https://plotly.com/r/get-requests/
# Add data documentation: https://plotly.com/r/file-options/

# You can reproduce this figure in R with the following code!

# Learn about API authentication here: https://plotly.com/r/getting-started
# Find your api_key here: https://plotly.com/settings/api

library(plotly)
trace1 <- list(
  uid = "30ed8b", 
  type = "surface", 
  zmax = 5793.3, 
  zmin = -246.2, 
  z = matrix(c(2434.7, 2432, 2430.6, 2430.7, 2431.5, 2431.5, 2431.8, 2434.9, 2439.5, 2439.9, 2437.3, 2437.8, 2437.5, 2432.9, 2406.3, 2367.6, 2368.5, 2399, 2414.8, 2414, 2414.6, 2414.3, 2402, 2385.1, 2371, 2358.3, 2348.1, 2340.9, 2335.1, 2331.1, 2329.7, 2332.6, 2337.5, 2341, 2345.2, 2350.3, 2352.6, 2351.2, 2346.5, 2339, 2331.1, 2321.9, 2313.1, 2306.7, 2301.6, 2297.6, 2294.3, 2290.4, 2285.6, 2280.6, 2276, 2271.6, 2267.2, 2263.4, 2259.7, 2255.6, 2252.7, 2251.3, 2249.9, 2248.4, 2246.7, 2244.5, 2242.2, 2239.8, 2237.5, 2235.3, 2233.1, 2230.7, 2228.1, 2225, 2221.8, 2219.1, 2218.1, 2218.6, 2219.3, 2219.9, 2219.9, 2218.3, 2215.7, 2212.4, 2209.1, 2206, 2203.7, 2202.4, 2201.9, 2201.8, 2202, 2201.8, 2200.7, 2198.9, 2196.3, 2192.8, 2189.1, 2185.3, 2181.6, 2178.3, 2175.4, 2172.9, 2170.9, 2169.6, 2168.7, 2168.4, 2168.6, 2169.4, 2171.1, 2173, 2175, 2177.3, 2179.3, 2180.7, 2181.8, 2183, 2184.4, 2185.5, 2186.1, 2186.5, 2187.1, 2187.3, 2187.2, 2187.1, 2187.3, 2188, 2188.1, 2188.1, 2188.4, 2188.7, 2189.6, 2191.7, 2194.6, 2197.8, 2201.7, 2205.8, 2210.2, 2214.8, 2218.8, 2222.3, 2225.8, 2229.2, 2232.6, 2235.8, 2239.1, 2242.1, 2245, 2247.7, 2250, 2252.7, 2255.8, 2259.4, 2263.1, 2266.7, 2271.2, 2277.1, 2283.6, 2292.3, 2305.1, 2318.6, 2330.3, 2341, 2350.9, 2359.3, 2366, 2371.5, 2376.9, 2382.9, 2389.3, 2395.2, 2400.5, 2405.3, 2409.3, 2412.7, 2415.4, 2417.3, 2418.9, 2419.8, 2420.2, 2420.4, 2420.2, 2419.5, 2418.6, 2417.6, 2416.5, 2415.3, 2413.9, 2412.5, 2411.3, 2410.2, 2409.1, 2408, 2406.8, 2405.7, 2404.7, 2403.7, 2402.9, 2402.2, 2401.5, 2401, 2400.8, 2400.5, 2400.2, 2400, 2399.9, 2400.2, 2400.5, 2400.9, 2401.7, 2402.6, 2403.6, 2404.6, 2405.6, 2406.8, 2408.3, 2409.9, 2411.6, 2413.5, 2415.1, 2416.8, 2418.9, 2420.9, 2422.7, 2424.5, 2426.3, 2428.2, 2430.2, 2432.3, 2434.5, 2436.9, 2439, 2441.1, 2443, 2444.7, 2446.3, 2447.8, 2449.1, 2450.5, 2451.8, 2453.2, 2454.4, 2455.6, 2456.6, 2457.4, 2458, 2458.5, 2458.8, 2459, 2459.1, 2459.1, 2458.6, 2457.8, 2457.1, 2456.7, 2455.9, 2453.7, 2450.1, 2446, 2442.1, 2438.3, 3253, 3284.7, 3302.7, 3275, 3203.6, 3125.7, 3121.4, 3176.4, 3173, 3133.2, 3132.9, 3131.5, 3108.4, 3092.7, 3168.4, 3293.5, 3266.7, 3127.5, 3043.1, 3012.9, 2968.8, 2927.9, 2936, 2964.5, 2990.8, 3022, 3047.3, 3060.8, 3067.6, 3069.4, 3063.4, 3043.4, 3020.4, 3005.8, 2988.6, 2965.2, 2948.8, 2942.3, 2946.5, 2959.9, 2966.2, 2967.5, 2970.2, 2968.3, 2961.4, 2953.9, 2947.4, 2941.1, 2941.4, 2948.7, 2952.4, 2947.6, 2935.8, 2914.6, 2882.5, 2842.3, 2794.5, 2750, 2718.8, 2694.7, 2675.9, 2662.8, 2649.4, 2645.8, 2655.9, 2660.9, 2663.1, 2668.7, 2672.4, 2676.3, 2681.9, 2686.6, 2686.9, 2682.3, 2676.6, 2673.5, 2674.6, 2679.3, 2685.2, 2692.4, 2700.3, 2703.4, 2707.8, 2718.3, 2725, 2722.5, 2712.3, 2697.5, 2683.1, 2671.9, 2663.2, 2655.9, 2650.4, 2646.7, 2643.6, 2641.3, 2639.7, 2638.2, 2636.7, 2635.7, 2634.9, 2633.9, 2633.6, 2634.9, 2637.9, 2642.6, 2648.3, 2655.5, 2664.4, 2674.3, 2683.9, 2692.3, 2699.4, 2707.2, 2716.6, 2725.4, 2732.3, 2739.5, 2748.3, 2756.6, 2763.2, 2768.5, 2774.7, 2781.9, 2788.6, 2794.4, 2799.5, 2805.3, 2813.3, 2823.1, 2833.7, 2845, 2856.6, 2867.8, 2877.3, 2884.7, 2890.5, 2895.6, 2900.4, 2905.4, 2910.6, 2915.9, 2921.1, 2926.2, 2930.7, 2934.6, 2937.9, 2943.1, 2952.1, 2963.4, 2976.1, 2990.6, 3008, 3030.4, 3058.6, 3087.9, 3113.1, 3134.2, 3152.1, 3166.2, 3176.4, 3183.4, 3189.4, 3196, 3202.9, 3209.5, 3215.9, 3222.1, 3227.8, 3232.8, 3237.2, 3240.7, 3243.6, 3246, 3247.7, 3249.1, 3250.3, 3250.9, 3251.4, 3251.7, 3251.8, 3251.8, 3251.7, 3251.3, 3250.6, 3249.4, 3247.9, 3246.4, 3244.7, 3243, 3241.4, 3240.1, 3239, 3238.2, 3237.7, 3237.5, 3237.9, 3238.7, 3239.3, 3239.6, 3240.1, 3241.3, 3242.7, 3243.9, 3245.1, 3246.2, 3246.7, 3246.8, 3246.5, 3246.2, 3246, 3245.7, 3244.9, 3243.4, 3241.6, 3240, 3238.6, 3237.6, 3237.5, 3237.8, 3237.7, 3237.7, 3237.7, 3237.1, 3235.5, 3233.6, 3231.7, 3230.4, 3229.6, 3229, 3229.1, 3229, 3228.5, 3227.8, 3227.7, 3228, 3229.1, 3231.5, 3235.4, 3240.3, 3245.4, 3249.8, 3254.8, 3262.7, 3276.1, 3290.2, 3299.4, 3295, 3279.4, 3266.7, 3240.6, 3213, 3206.9, 3213.1, 3230.3, 3241.3, 2976.6, 2827, 2689.8, 2685.5, 2826.4, 3012.2, 2918.6, 2524.8, 2288.6, 2262.4, 2131.8, 1913.6, 1798.1, 1785.8, 1997, 2326.8, 2272.7, 1933.5, 1733.3, 1678, 1595, 1525.6, 1594.3, 1722, 1825.4, 1917.1, 1989.1, 2040.7, 2087.1, 2122.8, 2142.4, 2130.3, 2097.8, 2078.4, 2053.1, 2018.7, 2015.5, 2045.8, 2098.7, 2168.3, 2248.6, 2345, 2415.4, 2441, 2463.2, 2488.2, 2512.8, 2547.6, 2577.3, 2583.2, 2580, 2583.6, 2581.7, 2554.9, 2505.8, 2448, 2374.1, 2289.2, 2223.2, 2182.4, 2154.7, 2136.7, 2135.8, 2106.5, 2031.3, 1976.9, 1937.6, 1899.7, 1888.8, 1891.1, 1893.6, 1896.4, 1894.2, 1885.1, 1876.9, 1874.8, 1881.1, 1902.6, 1941.4, 1988.6, 2044, 2108.3, 2143.8, 2131.2, 2107.9, 2087.4, 2064.6, 2046.9, 2026.6, 2008.5, 2008.9, 2022.2, 2038, 2053.9, 2070.4, 2088.5, 2105.5, 2115.7, 2119.6, 2126.2, 2139.3, 2156.1, 2172, 2186.1, 2199, 2212.5, 2227.9, 2242.9, 2258.4, 2278.3, 2302.2, 2324.6, 2344.9, 2367.3, 2391.5, 2413.7, 2432.6, 2451, 2471, 2491.5, 2508.9, 2522.7, 2536.6, 2552.1, 2568.2, 2582.7, 2593.7, 2602.1, 2611.1, 2621.2, 2631.7, 2642.7, 2654, 2665, 2675.3, 2684.2, 2691.5, 2697.4, 2703.4, 2710.4, 2718.1, 2726.3, 2734.2, 2742.3, 2752.3, 2765.4, 2779.6, 2795.1, 2815.2, 2840.2, 2865.3, 2891.7, 2923.7, 2958.8, 2992, 3021.6, 3049.5, 3075.2, 3097.9, 3118.8, 3134.7, 3144, 3150.1, 3155.2, 3160.1, 3164.9, 3169.6, 3174.5, 3179.2, 3183.4, 3187.9, 3192, 3195, 3197.1, 3198.5, 3198.9, 3198.9, 3198.9, 3198.9, 3198.9, 3198.6, 3197.6, 3195.6, 3192.6, 3188.7, 3184.3, 3179.6, 3174.1, 3168, 3161.7, 3155.8, 3150.7, 3146.6, 3143.7, 3141.4, 3138.3, 3133.9, 3129.7, 3126.2, 3123.7, 3121.9, 3119.9, 3117.8, 3115.1, 3112, 3109.1, 3107.1, 3105.2, 3100.5, 3092.8, 3084.1, 3075.4, 3067.1, 3059.4, 3051.5, 3042.6, 3033.1, 3024, 3016.5, 3009.8, 3001.5, 2991.1, 2981.1, 2973.5, 2967.4, 2961.7, 2955.8, 2949, 2941.5, 2934, 2927.4, 2922, 2917.5, 2914.4, 2913.7, 2914.1, 2913, 2909.4, 2900.6, 2888.3, 2877.2, 2858.3, 2819.3, 2790.6, 2780.7, 2753.2, 2711.7, 2726.4, 2809.7, 2883.3, 2987.6, 3096.9, 3136.2, 3131, 3072.5, 3028, 1977.7, 1619.1, 1324.2, 1399, 1857.5, 2411.2, 2258.2, 1408.1, 1007, 1069.8, 825.1, 432.7, 282.9, 286.7, 378.5, 516.3, 504.3, 381.9, 316.7, 305.4, 276.3, 261.4, 328.9, 428.1, 492.8, 533.4, 573.5, 623.1, 681.4, 732.6, 782.1, 831.1, 867.4, 909.9, 953.2, 998.6, 1072.3, 1165.4, 1255.9, 1339.3, 1458.7, 1621.5, 1737.4, 1791, 1853.6, 1925.5, 2000.7, 2092.7, 2143.6, 2133.2, 2131, 2161.2, 2188.5, 2192.6, 2185, 2184.6, 2175.3, 2137, 2096.1, 2080, 2075, 2074.7, 2100.1, 2027.4, 1826.5, 1691.4, 1593.2, 1479.5, 1423.8, 1399.4, 1372.4, 1346.4, 1323.2, 1306.6, 1299.2, 1295.3, 1294.1, 1305.2, 1338.8, 1375, 1401.7, 1443.4, 1428.9, 1316.6, 1233.7, 1252.2, 1336.1, 1447.2, 1569.9, 1650.6, 1649.5, 1616.7, 1596.9, 1602, 1630.5, 1669.6, 1708.3, 1742.7, 1770.6, 1792.6, 1817.9, 1855.4, 1897.3, 1934.8, 1965.7, 1991.4, 2016.9, 2040.1, 2060, 2082.6, 2112.5, 2146.9, 2183.7, 2222.5, 2260.1, 2295, 2324.9, 2347.6, 2368, 2392.7, 2421.4, 2450, 2475.6, 2497.9, 2518.8, 2538, 2553.4, 2566, 2577.7, 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3849.8, 3814.6, 3782.6, 3753.8, 3729.3, 3709.8, 3690.5, 3665, 3634.3, 3588.3, 3528.5, 3479.5, 3440.7, 3407.8, 3380.4, 3349, 3312.7, 3274.2, 3233.4, 3195.2, 3167.9, 3142.8, 3105.8, 3057.2, 3003.6, 2955.8, 2915.5, 2880.2, 2853.3, 2827.6, 2786, 2730.3, 2673.9, 2617.7, 2565.5, 2520.5, 2476.2, 2425, 2362.8, 2307.4, 2274.7, 2248.5, 2207.4, 2144.4, 2069.2, 1966.9, 1799.1, 1610.2, 1423.5, 1312.1, 1482.9, 1489, 778.7, 16.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 146.4, 204, 90.3, 10.5, 66.1, 121.4, 134.9, 163, 219.8, 342.8, 498.3, 587.2, 595.6, 566.8, 530.8, 515.4, 537.8, 580, 650.7, 769.9, 905.5, 1023.3, 1126.4, 1220.5, 1298.7, 1351.2, 1393.2, 1443.4, 1486.1, 1516, 1554.4, 1610.6, 1660.4, 1687.2, 1707.7, 1729.5, 1763.3, 1811, 1845.8, 1865.4, 1889.5, 1919.4, 1948.6, 1983.8, 2024, 2046.8, 2036.2, 2009.5, 1994.5, 1998.3, 2017.8, 1995.8, 1900.8, 1925.6, 1814, 1350, 946, 545.7, 248.7, 281.3, 310.2, 185.7, 42.8, 0, 3, 66.7, 18.3, 0, 0, 0, 0.6, 0, 0, 0, 0, 0.2, 0, 0, 0, 24.8, 191.7, 368.4, 463.2, 481.5, 312.7, 42.2, 0, 0, 0, 0, 0, 29.9, 152.6, 281.3, 468.7, 682.1, 769.6, 759.1, 759.6, 798.2, 885.2, 993.7, 1142, 1336.9, 1472.7, 1533.5, 1621.2, 1751.8, 1875.3, 1984.7, 2077.4, 2153.9, 2219.8, 2269.5, 2310.5, 2350.5, 2395.3, 2459.1, 2537.3, 2609.3, 2670.5, 2719.3, 2755.4, 2802.4, 2872.8, 2939, 2986.1, 3026.6, 3070, 3116, 3156.5, 3186.3, 3217.2, 3263.3, 3315.3, 3355.4, 3383, 3413.5, 3460.7, 3515.6, 3557.6, 3582.5, 3598.7, 3610.4, 3623.2, 3643.9, 3666.3, 3679.4, 3681.6, 3679.6, 3678.3, 3675.5, 3664.3, 3638.7, 3606.1, 3579, 3557.9, 3547.3, 3554.1, 3576.4, 3609.2, 3644.1, 3675.3, 3698.9, 3715.8, 3731.2, 3743.6, 3752.7, 3761.9, 3770.3, 3777.1, 3783.7, 3790.7, 3798.9, 3805.6, 3803.6, 3794.3, 3786.8, 3782.7, 3780.2, 3776.2, 3768.5, 3758.7, 3746.3, 3728.6, 3707.1, 3673.5, 3623.2, 3568.6, 3517.3, 3474.3, 3438.2, 3404.3, 3373, 3345.6, 3318.3, 3283.6, 3245.6, 3206.6, 3165, 3118.3, 3063.2, 3009.6, 2967, 2936.4, 2914.6, 2886.7, 2841.9, 2789.3, 2731.4, 2661.3, 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195.6, 295.3, 337.1, 274.1, 246.4, 399.9, 649.5, 837.6, 971.3, 1024.8, 1027.6, 1077.7, 1141.5, 1164.1, 1139.9, 1072.2, 933.8, 808.6, 856.4, 855.8, 562.2, 335.4, 482.1, 783.9, 976.1, 1037, 1133.9, 1260, 1204.2, 844.1, 355.2, 88.6, 22, 0, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0.3, 0, 0, 0, 1.4, 0, 0, 0, 0, 0, 11.1, 121.1, 216.1, 270.3, 294.1, 301.3, 279.8, 345.4, 598.3, 882.8, 1114.7, 1480.2, 1931.4, 2161.5, 2264.4, 2385.3, 2492.9, 2638.3, 2777.3, 2848.3, 2860, 2862.3, 2905.2, 2960, 3022, 3124.4, 3223.8, 3282, 3333.4, 3389.5, 3425.9, 3446.3, 3470.3, 3501.2, 3525.8, 3553.1, 3593.9, 3613, 3602.9, 3597.4, 3605.2, 3602.3, 3565.6, 3516.9, 3493.6, 3495.8, 3507.3, 3526.8, 3550.6, 3562.6, 3557.7, 3545.5, 3533.3, 3513.2, 3471.6, 3404.4, 3322.8, 3237.7, 3142.6, 3028.2, 2883.8, 2731.6, 2582, 2429.6, 2298.5, 2161.9, 2013.9, 1912.1, 1883.3, 1913.7, 1999.5, 2115.2, 2236, 2362.7, 2477.6, 2589.4, 2723.8, 2885.4, 3046.9, 3189.5, 3304.7, 3372.9, 3409.5, 3466.1, 3553.6, 3628.8, 3669.4, 3677.9, 3660.8, 3631.3, 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269.9, 19.3, 25, 52.9, 86.3, 69.5, 6.5, 0, 46.7, 289.6, 355.9, 94.3, 0, 0, 0, 23, 212.3, 470.7, 453.5, 113, 0, 0.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98.1, 277.8, 551.7, 1381.8, 2083.7, 2120, 1982, 1767.8, 1724.9, 1846.5, 1666.6, 1785.9, 2433.6, 2596.4, 2003.2, 1450.7, 1124.4, 815.6, 589.5, 451.7, 378.6, 301.8, 261.1, 246.7, 192.3, 145.9, 159.2, 201.7, 242.9, 259, 284.7, 491.8, 585.6, 273.4, 14.4, 5.5, 0, 0, 0, 0.3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5.4, 20.5, 17.1, 2.5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80.5, 245.9, 315.5, 490.9, 823.4, 965.5, 614.7, 69.6, 0, 0, 0, 0, 0, 72.8, 35.5, 0, 0.4, 124.4, 245.3, 74.6, 0, 335, 603, 212.5, 29.7, 32.9, 320.1, 767.7, 1160.3, 1209.2, 1191.7, 1306.8, 1435.4, 1515.5, 1417.8, 1528.1, 1735.9, 1816.4, 1986.5, 1851.7, 1425.1, 801.7, 50.4, -246.2, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), nrow=128, ncol=256), 
  contours = list(
    x = list(
      show = FALSE, 
      highlight = TRUE
    ), 
    y = list(
      show = FALSE, 
      highlight = TRUE
    ), 
    z = list(
      show = TRUE, 
      width = 1, 
      highlight = TRUE
    )
  ), 
  lighting = list(
    ambient = 0.41, 
    diffuse = 0.82, 
    specular = 0.26
  ), 
  colorscale = list(c(0, "rgb(0,0,130)"),list(0.1, "rgb(0,180,180)"),list(0.2, "rgb(40,210,40)"),list(0.4, "rgb(230,230,50)"),list(0.6, "rgb(120,70,20)"),list(1, "rgb(255,255,255)")), 
  reversescale = FALSE, 
  autocolorscale = FALSE
)
data <- list(trace1)
layout <- list(
  scene = list(
    xaxis = list(
      type = "linear", 
      title = "", 
      showgrid = FALSE, 
      zeroline = FALSE, 
      spikesides = FALSE, 
      showticklabels = FALSE
    ), 
    yaxis = list(
      type = "linear", 
      title = "", 
      showgrid = FALSE, 
      zeroline = FALSE, 
      spikesides = FALSE, 
      showticklabels = FALSE
    ), 
    zaxis = list(
      type = "linear", 
      title = "", 
      showgrid = FALSE, 
      zeroline = FALSE, 
      autorange = TRUE, 
      spikesides = FALSE, 
      showticklabels = FALSE
    ), 
    camera = list(
      up = list(
        x = 0, 
        y = 0, 
        z = 1
      ), 
      eye = list(
        x = 0.10957435987432765, 
        y = -0.9099235948549124, 
        z = 0.8126544942432249
      ), 
      center = list(
        x = -0.04719709975522815, 
        y = -0.04452618333577501, 
        z = -0.01467944679959168
      )
    ), 
    aspectmode = "manual", 
    aspectratio = list(
      x = 2, 
      y = 1, 
      z = 0.1
    )
  ), 
  title = "World 3D model map (150km resolution)", 
  width = 1463, 
  height = 730, 
  autosize = TRUE, 
  dragmode = "turntable", 
  showlegend = FALSE
)
p <- plot_ly()
p <- add_trace(p, uid=trace1$uid, type=trace1$type, zmax=trace1$zmax, zmin=trace1$zmin, z=trace1$z, contours=trace1$contours, lighting=trace1$lighting, colorscale=trace1$colorscale, reversescale=trace1$reversescale, autocolorscale=trace1$autocolorscale)
p <- layout(p, scene=layout$scene, title=layout$title, width=layout$width, height=layout$height, autosize=layout$autosize, dragmode=layout$dragmode, showlegend=layout$showlegend)