Why is the map skewed?

[niceguy2005]

THis is not a complaint, but just a curious question? It really throws off the distances. It turns out that it is a shorter distance from Prince Rupert to PH than it is from San Diego.

[Mistmatz]

Are you talking about stock or Andrew Browns map or both?

[niceguy2005]

Stock. Now that you mention it, I think ABs map corrects some of the distance problems.

[Bradley7735]

well, the most basic of explanations (it's more complex than I understand), is that the game is flat, whereas the real life earth is a globe. you can't put something that is round on a flat surface and have it exact.

[Rob Brennan UK]

Yes its the transplanting of a 3D real world globe to a 2D rendition. some Dutch chap invented the process way back in the 16th century (iirc). Very clever way of making maps but does tend to 'enlarge' areas far north or south.

Just look at the distance from Sydney to darwin .. about twice the size of the US Seaboard. Its a necessary evil. only way round it would be to grade the hexside as you travel furher away from the equator .. humm thats a suprisingly good idea ?? wonder if its possible. not in Witp of course but maybe for later 'world spanning' games .. i'm thinking of Computer WIF ..

[niceguy2005]

ORIGINAL: Rob Brennan UK
wonder if its possible. not in Witp of course but maybe for later 'world spanning' games .. i'm thinking of Computer WIF ..

Creating a gradient for the hexes is the easy part. Creating a movement system that can deal with it is another story. Not to mention the player confusion that would insue. A simpler option would be imposing a hex grid system on the surface of a sphere. The player would then spin the sphere like they would a globe, where they're view of the land would be essentially that of a flat map. The only real difficulty with this system is that you have to teach your programmers to work in polar coordinates. yuck!

[GaryChildress]

I believe the map is skewed to actually preserve as many authentic distances as possible. If it weren't skewed then all the land masses at the top and bottom would be many times larger than they should be. As it stands now the land masses are very close to correct size I think, it's just some of the ocean distances, especially to the south which are off.

[Mike Scholl]

ORIGINAL: Rob Brennan UK

Yes its the transplanting of a 3D real world globe to a 2D rendition. some Dutch chap invented the process way back in the 16th century (iirc). Very clever way of making maps but does tend to 'enlarge' areas far north or south.

One does wonder why the designer's didn't choose to use at least a partial Mercator projection. With a decent representation of the terrain and the weather at high latitudes, it's hard to see why an oversized Alaska or Siberia would have much effect on play. It's supposed to be the War in the Pacific, not the war in the artic.

[niceguy2005]

ORIGINAL: Mike Scholl

ORIGINAL: Rob Brennan UK

Yes its the transplanting of a 3D real world globe to a 2D rendition. some Dutch chap invented the process way back in the 16th century (iirc). Very clever way of making maps but does tend to 'enlarge' areas far north or south.

One does wonder why the designer's didn't choose to use at least a partial Mercator projection. With a decent representation of the terrain and the weather at high latitudes, it's hard to see why an oversized Alaska or Siberia would have much effect on play. It's supposed to be the War in the Pacific, not the war in the artic.

I appreciate the effort that was put in to try and preserve distances as accurately as possible. I seems that the distances are most inaccurate as you move toward the poles, which is fine, as you say the game is mainly about the Central and South Pacific.

[Sardaukar]

Andrew Brown has corrected some of the map data in his map. There is nice table about some places and their distances on his map, official map and in real life.
Direct Link: Click here!

[Reg]

ORIGINAL: Mike Scholl

ORIGINAL: Rob Brennan UK

Yes its the transplanting of a 3D real world globe to a 2D rendition. some Dutch chap invented the process way back in the 16th century (iirc). Very clever way of making maps but does tend to 'enlarge' areas far north or south.

One does wonder why the designer's didn't choose to use at least a partial Mercator projection. With a decent representation of the terrain and the weather at high latitudes, it's hard to see why an oversized Alaska or Siberia would have much effect on play. It's supposed to be the War in the Pacific, not the war in the artic.

The WITP map is based on an actual aviation navigation map of the pacific basin. The marked flight routes are mainly across the top of the map (USA/Alaska Japan/Hong Kong etc) so its not surprising that the projection errors described by the other posts are most noticeable the southern half of the map. I'm sure more errors crept in when 2by3 converted it to hex format.

I would have posted a preview for you but the map was in use and they didn't have a spare.

[Andrew Brown]

ORIGINAL: Mike Scholl
One does wonder why the designer's didn't choose to use at least a partial Mercator projection. With a decent representation of the terrain and the weather at high latitudes, it's hard to see why an oversized Alaska or Siberia would have much effect on play. It's supposed to be the War in the Pacific, not the war in the artic.

Mercator projection is very common, but I don't think it is suitable for the purposes of WitP. Mercator is designed for nautical navigation, and it has absolute accuracy for bearings, while being inaccurate in distances, increasingly so towards the poles. For WitP and similar games, accuracy in distances is much more important than accuracy in bearings (direction), at least in my view.

Unfortunately there is no one perfect way of depicting such a large area of the globe on a flat surface. Every type of projection involves a compromise of some type.

[Nomad]

An interesting idea is to make the distances larger than real at the poles and that would simulate the extremely bad weather there.

[von Beanie]

You can either maintain shapes or areas on a flat map, not both. To keep the shapes correct, you must distort the areas. To keep the areas correct, you must distort the shapes. Some map projections compromise by sacrificing both. The Mercator would be an OK choice if the map only covered equatorial regions. The Mercator maintains shapes, so when you see that Alaska and Russia are oddly shaped you immediately can tell this map isn't a Mercator projection.

Finding a map that reasonably represents half of a spheroid is a near impossible task. Andrew Brown's map of this large region is about as good of a cartographic design choice as can be made. [;)]

[Mike Scholl]

ORIGINAL: Andrew Brown

ORIGINAL: Mike Scholl
One does wonder why the designer's didn't choose to use at least a partial Mercator projection. With a decent representation of the terrain and the weather at high latitudes, it's hard to see why an oversized Alaska or Siberia would have much effect on play. It's supposed to be the War in the Pacific, not the war in the artic.

Mercator projection is very common, but I don't think it is suitable for the purposes of WitP. Mercator is designed for nautical navigation, and it has absolute accuracy for bearings, while being inaccurate in distances, increasingly so towards the poles. For WitP and similar games, accuracy in distances is much more important than accuracy in bearings (direction), at least in my view.
Unfortunately there is no one perfect way of depicting such a large area of the globe on a flat surface. Every type of projection involves a compromise of some type.

Actually, Mercator's projection is meant as a mariners map, so it stretches land masses to keep the oceanic distances more accurate. My point was as the War in the Pacific was primarily a naval and air conflict, more distortion of land masses (especially in the far north) would be a small price to pay to keep the naval distances more accurate. It's always going to involve compromise..., I'm just saying that an Alaska bigger than Australia doesn't bother me much, because nothing much should happen there.

[von Beanie]

"Actually, Mercator's projection is meant as a mariners map, so it stretches land masses to keep the oceanic distances more accurate. "


[:-] You don't know what you're talking about here. The Mercator is a mariners map because rhumb lines (lines of constant bearings) plot as straight lines and allow you to sail from point A to point B on the map. Only in exceptional circumstances is a rhumb line the shortest navigational route (i.e., Great Circle route).

Land masses are NOT stretched to keep the oceanic distances more accurate. This claim is complete B.S. All areas (land and water) at each latitude are stretched equally. How else could you "stretch" land but not the adjacent water areas? In other words, oceanic distances at high latitudes are just as distorted as the land masses are. Check it out if you don't believe me.

[el cid again]

Stock. Now that you mention it, I think ABs map corrects some of the distance problems.

I did a 100 line analysis of the Andrew's map - and compared as many lines as possible on stock ( not always possible - only 93 were the same ). I found the average error on the stock map was over 5%. Andrews had an average of around 0.5% - about ten times (an order of magnitude better). In spite of this, the problem remains there must be distortion, and errors as high as 20-30% are common. Andrew tried to push these to the edges - and as a result looking at edges is going to result in bigger errors.


From City To City Distance (sm) Hexes (Theory) Hexes Hexes Error (stock) Error (mod) Distance Hexes (Theory) Hexes Hexes Error (stock) Error (mod)
(Andrew) (Andrew/Real) (stock) (modified) (Andrew) (Andrew) (Andy in nm) (Andy in nm) (stock) (modified) Andy in nm Andy in nm
Anchorage Vancouver 1234 21 26 26 26.42% 26.42% 1420 24 26 26 9.85% 9.85%
Anchorage Pearl Harbor 2785 46 37 44 20.29% 5.21% 3205 53 37 44 30.73% 17.63%
Anchorage Tokyo 3457 58 51 54 11.48% 6.28% 3978 66 51 54 23.08% 18.56%
Auckland Norfolk Island 670 11 13 11 16.42% 1.49% 771 13 13 11 1.16% 14.40%
Auckland Suva 1314 22 31 29 41.55% 32.42% 1512 25 31 29 23.01% 15.07%
Auckland Sydney 1370 23 28 28 22.63% 22.63% 1577 26 28 28 6.56% 6.56%
Auckland Port Moresby 2561 43 41 41 3.94% 3.94% 2947 49 41 41 16.53% 16.53%
Canton Island Wallace Island 783 13 9 15 31.03% 14.94% 901 15 9 15 40.07% 0.12%
Canton Island Pago Pago 797 13 11 13 17.19% 2.13% 917 15 11 13 28.04% 14.96%
Canton Island Christmas Island 1042 17 19 18 9.40% 3.65% 1199 20 19 18 4.93% 9.93%
Canton Island Johnston Island 1359 23 25 22 10.38% 2.87% 1564 26 25 22 4.09% 15.60%
Canton Island Majuro 1360 23 23 22 1.47% 2.94% 1565 26 23 22 11.82% 15.66%
Canton Island Papaete 1807 30 na 30 na 0.39% 2079 35 na 30 na 13.44%
Christmas Island Johnston Island 1311 22 18 21 17.62% 3.89% 1509 25 18 21 28.41% 16.48%
Christmas Island Pearl Harbor 1344 22 22 24 1.79% 7.14% 1547 26 22 24 14.65% 6.90%
Christmas Island Papaete 1441 24 na 34 na 41.57% 1658 28 na 34 na 23.02%
Christmas Island Pago Pago 1442 24 25 28 4.02% 16.50% 1659 28 25 28 9.61% 1.24%
Christmas Island Los Angelus 3340 56 51 53 8.38% 4.79% 3844 64 51 53 20.39% 17.27%
Darwin Port Moresby 1128 19 19 23 1.06% 22.34% 1298 22 19 23 12.18% 6.31%
Darwin Soerabaja 1274 21 21 22 1.10% 3.61% 1466 24 21 22 14.06% 9.96%
Darwin Pearth 1649 27 27 36 1.76% 30.99% 1898 32 27 36 14.63% 13.83%
Darwin Melbourne 1958 33 33 41 1.12% 25.64% 2253 38 33 41 12.13% 9.18%
Darwin Sydney 1959 33 33 41 1.07% 25.57% 2254 38 33 41 12.17% 9.12%
Darwin Singapore 2082 35 35 33 0.86% 4.90% 2396 40 35 33 12.35% 17.36%
Dehli Kerachi 680 11 9 11 20.59% 2.94% 783 13 9 11 30.99% 15.66%
Dehli Bombay 725 12 7 11 42.07% 8.97% 834 14 7 11 49.66% 20.89%
Dehli Bangalore 1085 18 14 18 22.58% 0.46% 1249 21 14 18 32.72% 13.50%
Dehli Madras 1095 18 14 17 23.29% 6.85% 1260 21 14 17 33.34% 19.05%
Dehli Rangoon 1458 24 24 23 1.23% 5.35% 1678 28 24 23 14.18% 17.75%
Dehli Chunking 1767 29 27 25 8.32% 15.11% 2033 34 27 25 20.33% 26.23%
Dehli Hanoi 1867 31 27 27 13.23% 13.23% 2149 36 27 27 24.60% 24.60%
Efate Noumea 336 6 7 7 25.00% 25.00% 387 6 7 7 8.62% 8.62%
Efate Suva 664 11 14 13 26.51% 17.47% 764 13 14 13 9.93% 2.08%
Efate Norfolk Island 792 13 18 16 36.36% 21.21% 911 15 18 16 18.50% 5.33%
Efate Honiara 786 13 13 13 0.76% 0.76% 905 15 13 13 13.77% 13.77%
Efate Funafuti 971 16 17 17 5.05% 5.05% 1117 19 17 17 8.72% 8.72%
Efate Brisbane 1185 20 30 29 51.90% 46.84% 1364 23 30 29 32.00% 27.60%
Enewetok Kwajalein 409 7 6 7 11.98% 2.69% 471 8 6 7 23.51% 10.77%
Enewetok Majuro 677 11 12 12 6.35% 6.35% 779 13 12 12 7.58% 7.58%
Enewetok Iwo Jima 1658 28 23 26 16.77% 5.91% 1908 32 23 26 27.67% 18.24%
Enewetok Johnston Island 1920 32 26 27 18.75% 15.63% 2209 37 26 27 29.40% 26.68%
Guam Truk 641 11 12 12 12.32% 12.32% 738 12 12 12 2.39% 2.39%
Guam Okinawa 1047 17 20 20 14.61% 14.61% 1205 20 20 20 0.40% 0.40%
Guam Wake 1561 26 22 23 15.44% 11.60% 1796 30 22 23 26.52% 23.18%
Guam Tokyo 1563 26 23 25 11.71% 4.03% 1799 30 23 25 23.28% 16.60%
Guam Port Moresby 1598 27 25 27 6.13% 1.38% 1839 31 25 27 18.43% 11.91%
Hanoi Chunking 590 10 9 9 8.47% 8.47% 679 11 9 9 20.47% 20.47%
Hanoi Rangoon 698 12 9 9 22.64% 22.64% 803 13 9 9 32.77% 32.77%
Hanoi Singapore 1371 23 20 21 12.47% 8.10% 1578 26 20 21 23.94% 20.14%
Iwo Jima Tokyo 670 11 10 10 10.45% 10.45% 771 13 10 10 22.18% 22.18%
Iwo Jima Guam 812 14 13 13 3.94% 3.94% 934 16 13 13 16.53% 16.53%
Iwo Jima Eniwetok 1858 31 23 26 25.73% 16.04% 2138 36 23 26 35.46% 27.04%
Johnston Island Majuro 1457 24 23 25 5.28% 2.95% 1677 28 23 25 17.69% 10.54%
Los Angelus Vancouver 1080 18 16 19 11.11% 5.56% 1243 21 16 19 22.76% 8.27%
Los Angelus Papaete 4119 69 na 79 na 15.08% 4740 79 na 79 na 0.00%
Majuro Tarawa 415 7 8 7 15.66% 1.20% 478 8 8 7 0.51% 12.06%
Majuro Nahru 607 10 8 10 20.92% 1.15% 699 12 8 10 31.28% 14.10%
Majuro Ponope 881 15 14 15 4.65% 2.16% 1014 17 14 15 17.15% 11.23%
Majuro Truk 1327 22 23 23 3.99% 3.99% 1527 25 23 23 9.63% 9.63%
Majuro Honaria 1379 23 24 24 4.42% 4.42% 1587 26 24 24 9.26% 9.26%
Majuro Saipan 1811 30 30 32 0.61% 6.02% 2084 35 30 32 13.63% 7.87%
Majuro Suva 1815 30 31 29 2.48% 4.13% 2089 35 31 29 10.95% 16.69%
Majuro Guam 1855 31 30 32 2.96% 3.50% 2135 36 30 32 15.68% 10.06%
Majuro Pearl Harbor 2278 38 36 18 5.18% 52.59% 2621 44 36 18 17.60% 58.80%
Manila Hanoi 1092 18 15 15 17.58% 17.58% 1257 21 15 15 28.38% 28.38%
Manila Yap 1207 20 18 20 10.52% 0.58% 1389 23 18 20 22.25% 13.61%
Manila Singapore 1489 25 21 21 15.38% 15.38% 1714 29 21 21 26.47% 26.47%
Manila Soerabaja 1612 27 27 27 0.50% 0.50% 1855 31 27 27 12.67% 12.67%
Manila Tokyo 1867 31 28 28 10.02% 10.02% 2149 36 28 28 21.81% 21.81%
Manila Port Moresby 2448 41 39 41 4.41% 0.49% 2817 47 39 41 16.94% 12.68%
Manila Pearl Harbor 5304 88 77 81 12.90% 8.37% 6104 102 77 81 24.31% 20.38%
Midway Wake 1380 23 20 21 13.04% 8.70% 1588 26 20 21 24.44% 20.66%
Midway Pearl Harbor 1252 21 14 17 32.91% 18.53% 1441 24 14 17 41.70% 29.20%
Midway San Francisco 3790 63 51 52 19.26% 17.68% 4361 73 51 52 29.84% 28.46%
Midway Manila 4423 74 57 60 22.68% 18.61% 5090 85 57 60 32.81% 29.27%
Norfolk Island Noumea 478 8 11 9 38.08% 12.97% 550 9 11 9 19.98% 1.83%
Norfolk Island Brisbane 916 15 17 17 11.35% 11.35% 1054 18 17 17 3.24% 3.24%
Noumea Suva 827 14 17 17 23.34% 23.34% 952 16 17 17 7.18% 7.18%
Noumea Brisbane 916 15 23 21 50.66% 37.55% 1054 18 23 21 30.92% 19.53%
Noumea Cairns 1395 23 28 25 20.43% 7.53% 1605 27 28 25 4.65% 6.56%
Pago Pago Suva 770 13 15 15 16.88% 16.88% 886 15 15 15 1.57% 1.57%
Pago Pago Funafuti 789 13 13 13 1.14% 1.14% 908 15 13 13 14.09% 14.09%
Papaete Wallace Island 1794 30 na 27 na 9.70% 2064 34 na 27 na 21.53%
Papaete Suva 2105 35 na 36 na 2.61% 2422 40 na 36 na 10.83%
Papaete Auckland 2546 42 na 51 na 20.19% 2930 49 na 51 na 4.44%
Papaete Pearl Harbor 2744 46 na 46 na 0.58% 3158 53 na 46 na 12.60%
Pearl Harbor Johnston Island 714 12 12 12 0.84% 0.84% 822 14 12 12 12.37% 12.37%
Pearl Harbor San Francisco 2395 40 38 40 4.80% 0.21% 2756 46 38 40 17.27% 12.92%
Pearl Harbor Vancouver 2709 45 37 38 18.05% 15.84% 3117 52 37 38 28.79% 26.86%
Pearl Harbor Suva 3166 53 50 53 5.24% 0.44% 3643 61 50 53 17.66% 12.72%
Pearl Harbor Port Moresby 4296 72 69 70 3.63% 2.23% 4944 82 69 70 16.26% 15.04%
Peking Seoul 593 10 8 8 19.06% 19.06% 682 11 8 8 29.66% 29.66%
Peking Shanghai 668 11 10 10 10.18% 10.18% 769 13 10 10 21.95% 21.95%
Peking Vladivostok 831 14 13 13 6.14% 6.14% 956 16 13 13 18.44% 18.44%
Peking Chunking 908 15 13 13 14.10% 14.10% 1045 17 13 13 25.35% 25.35%
Peking Irkutsk 1030 17 22 18 28.16% 4.85% 1185 20 22 18 11.36% 8.88%
Peking Tokyo 1304 22 19 19 12.58% 12.58% 1501 25 19 19 24.03% 24.03%
Peking Manila 1773 30 23 23 22.17% 22.17% 2040 34 23 23 32.36% 32.36%
Port Moresby Cairns 522 9 11 11 26.44% 26.44% 601 10 11 11 9.87% 9.87%
Port Moresby Truk 1216 20 16 19 21.05% 6.25% 1399 23 16 19 31.40% 18.53%
100 point sum 152244 2537 2147 2523 na 0.57% 175199 2920 2147 2523 na 13.60%
93 point sum 135688 2261 2147 5.06% 2,602 2147 17.50%

[treespider]

ORIGINAL: el cid again

Stock. Now that you mention it, I think ABs map corrects some of the distance problems.

I did a 100 line analysis of the Andrew's map - and compared as many lines as possible on stock ( not always possible - only 93 were the same ). I found the average error on the stock map was over 5%. Andrews had an average of around 0.5% - about ten times (an order of magnitude better). In spite of this, the problem remains there must be distortion, and errors as high as 20-30% are common. Andrew tried to push these to the edges - and as a result looking at edges is going to result in bigger errors.


From City To City Distance (sm) Hexes (Theory) Hexes Hexes Error (stock) Error (mod) Distance Hexes (Theory) Hexes Hexes Error (stock) Error (mod)
(Andrew) (Andrew/Real) (stock) (modified) (Andrew) (Andrew) (Andy in nm) (Andy in nm) (stock) (modified) Andy in nm Andy in nm
Anchorage Vancouver 1234 21 26 26 26.42% 26.42% 1420 24 26 26 9.85% 9.85%
Anchorage Pearl Harbor 2785 46 37 44 20.29% 5.21% 3205 53 37 44 30.73% 17.63%
Anchorage Tokyo 3457 58 51 54 11.48% 6.28% 3978 66 51 54 23.08% 18.56%
Auckland Norfolk Island 670 11 13 11 16.42% 1.49% 771 13 13 11 1.16% 14.40%
Auckland Suva 1314 22 31 29 41.55% 32.42% 1512 25 31 29 23.01% 15.07%
Auckland Sydney 1370 23 28 28 22.63% 22.63% 1577 26 28 28 6.56% 6.56%
Auckland Port Moresby 2561 43 41 41 3.94% 3.94% 2947 49 41 41 16.53% 16.53%
Canton Island Wallace Island 783 13 9 15 31.03% 14.94% 901 15 9 15 40.07% 0.12%
Canton Island Pago Pago 797 13 11 13 17.19% 2.13% 917 15 11 13 28.04% 14.96%
Canton Island Christmas Island 1042 17 19 18 9.40% 3.65% 1199 20 19 18 4.93% 9.93%
Canton Island Johnston Island 1359 23 25 22 10.38% 2.87% 1564 26 25 22 4.09% 15.60%
Canton Island Majuro 1360 23 23 22 1.47% 2.94% 1565 26 23 22 11.82% 15.66%
Canton Island Papaete 1807 30 na 30 na 0.39% 2079 35 na 30 na 13.44%
Christmas Island Johnston Island 1311 22 18 21 17.62% 3.89% 1509 25 18 21 28.41% 16.48%
Christmas Island Pearl Harbor 1344 22 22 24 1.79% 7.14% 1547 26 22 24 14.65% 6.90%
Christmas Island Papaete 1441 24 na 34 na 41.57% 1658 28 na 34 na 23.02%
Christmas Island Pago Pago 1442 24 25 28 4.02% 16.50% 1659 28 25 28 9.61% 1.24%
Christmas Island Los Angelus 3340 56 51 53 8.38% 4.79% 3844 64 51 53 20.39% 17.27%
Darwin Port Moresby 1128 19 19 23 1.06% 22.34% 1298 22 19 23 12.18% 6.31%
Darwin Soerabaja 1274 21 21 22 1.10% 3.61% 1466 24 21 22 14.06% 9.96%
Darwin Pearth 1649 27 27 36 1.76% 30.99% 1898 32 27 36 14.63% 13.83%
Darwin Melbourne 1958 33 33 41 1.12% 25.64% 2253 38 33 41 12.13% 9.18%
Darwin Sydney 1959 33 33 41 1.07% 25.57% 2254 38 33 41 12.17% 9.12%
Darwin Singapore 2082 35 35 33 0.86% 4.90% 2396 40 35 33 12.35% 17.36%
Dehli Kerachi 680 11 9 11 20.59% 2.94% 783 13 9 11 30.99% 15.66%
Dehli Bombay 725 12 7 11 42.07% 8.97% 834 14 7 11 49.66% 20.89%
Dehli Bangalore 1085 18 14 18 22.58% 0.46% 1249 21 14 18 32.72% 13.50%
Dehli Madras 1095 18 14 17 23.29% 6.85% 1260 21 14 17 33.34% 19.05%
Dehli Rangoon 1458 24 24 23 1.23% 5.35% 1678 28 24 23 14.18% 17.75%
Dehli Chunking 1767 29 27 25 8.32% 15.11% 2033 34 27 25 20.33% 26.23%
Dehli Hanoi 1867 31 27 27 13.23% 13.23% 2149 36 27 27 24.60% 24.60%
Efate Noumea 336 6 7 7 25.00% 25.00% 387 6 7 7 8.62% 8.62%
Efate Suva 664 11 14 13 26.51% 17.47% 764 13 14 13 9.93% 2.08%
Efate Norfolk Island 792 13 18 16 36.36% 21.21% 911 15 18 16 18.50% 5.33%
Efate Honiara 786 13 13 13 0.76% 0.76% 905 15 13 13 13.77% 13.77%
Efate Funafuti 971 16 17 17 5.05% 5.05% 1117 19 17 17 8.72% 8.72%
Efate Brisbane 1185 20 30 29 51.90% 46.84% 1364 23 30 29 32.00% 27.60%
Enewetok Kwajalein 409 7 6 7 11.98% 2.69% 471 8 6 7 23.51% 10.77%
Enewetok Majuro 677 11 12 12 6.35% 6.35% 779 13 12 12 7.58% 7.58%
Enewetok Iwo Jima 1658 28 23 26 16.77% 5.91% 1908 32 23 26 27.67% 18.24%
Enewetok Johnston Island 1920 32 26 27 18.75% 15.63% 2209 37 26 27 29.40% 26.68%
Guam Truk 641 11 12 12 12.32% 12.32% 738 12 12 12 2.39% 2.39%
Guam Okinawa 1047 17 20 20 14.61% 14.61% 1205 20 20 20 0.40% 0.40%
Guam Wake 1561 26 22 23 15.44% 11.60% 1796 30 22 23 26.52% 23.18%
Guam Tokyo 1563 26 23 25 11.71% 4.03% 1799 30 23 25 23.28% 16.60%
Guam Port Moresby 1598 27 25 27 6.13% 1.38% 1839 31 25 27 18.43% 11.91%
Hanoi Chunking 590 10 9 9 8.47% 8.47% 679 11 9 9 20.47% 20.47%
Hanoi Rangoon 698 12 9 9 22.64% 22.64% 803 13 9 9 32.77% 32.77%
Hanoi Singapore 1371 23 20 21 12.47% 8.10% 1578 26 20 21 23.94% 20.14%
Iwo Jima Tokyo 670 11 10 10 10.45% 10.45% 771 13 10 10 22.18% 22.18%
Iwo Jima Guam 812 14 13 13 3.94% 3.94% 934 16 13 13 16.53% 16.53%
Iwo Jima Eniwetok 1858 31 23 26 25.73% 16.04% 2138 36 23 26 35.46% 27.04%
Johnston Island Majuro 1457 24 23 25 5.28% 2.95% 1677 28 23 25 17.69% 10.54%
Los Angelus Vancouver 1080 18 16 19 11.11% 5.56% 1243 21 16 19 22.76% 8.27%
Los Angelus Papaete 4119 69 na 79 na 15.08% 4740 79 na 79 na 0.00%
Majuro Tarawa 415 7 8 7 15.66% 1.20% 478 8 8 7 0.51% 12.06%
Majuro Nahru 607 10 8 10 20.92% 1.15% 699 12 8 10 31.28% 14.10%
Majuro Ponope 881 15 14 15 4.65% 2.16% 1014 17 14 15 17.15% 11.23%
Majuro Truk 1327 22 23 23 3.99% 3.99% 1527 25 23 23 9.63% 9.63%
Majuro Honaria 1379 23 24 24 4.42% 4.42% 1587 26 24 24 9.26% 9.26%
Majuro Saipan 1811 30 30 32 0.61% 6.02% 2084 35 30 32 13.63% 7.87%
Majuro Suva 1815 30 31 29 2.48% 4.13% 2089 35 31 29 10.95% 16.69%
Majuro Guam 1855 31 30 32 2.96% 3.50% 2135 36 30 32 15.68% 10.06%
Majuro Pearl Harbor 2278 38 36 18 5.18% 52.59% 2621 44 36 18 17.60% 58.80%
Manila Hanoi 1092 18 15 15 17.58% 17.58% 1257 21 15 15 28.38% 28.38%
Manila Yap 1207 20 18 20 10.52% 0.58% 1389 23 18 20 22.25% 13.61%
Manila Singapore 1489 25 21 21 15.38% 15.38% 1714 29 21 21 26.47% 26.47%
Manila Soerabaja 1612 27 27 27 0.50% 0.50% 1855 31 27 27 12.67% 12.67%
Manila Tokyo 1867 31 28 28 10.02% 10.02% 2149 36 28 28 21.81% 21.81%
Manila Port Moresby 2448 41 39 41 4.41% 0.49% 2817 47 39 41 16.94% 12.68%
Manila Pearl Harbor 5304 88 77 81 12.90% 8.37% 6104 102 77 81 24.31% 20.38%
Midway Wake 1380 23 20 21 13.04% 8.70% 1588 26 20 21 24.44% 20.66%
Midway Pearl Harbor 1252 21 14 17 32.91% 18.53% 1441 24 14 17 41.70% 29.20%
Midway San Francisco 3790 63 51 52 19.26% 17.68% 4361 73 51 52 29.84% 28.46%
Midway Manila 4423 74 57 60 22.68% 18.61% 5090 85 57 60 32.81% 29.27%
Norfolk Island Noumea 478 8 11 9 38.08% 12.97% 550 9 11 9 19.98% 1.83%
Norfolk Island Brisbane 916 15 17 17 11.35% 11.35% 1054 18 17 17 3.24% 3.24%
Noumea Suva 827 14 17 17 23.34% 23.34% 952 16 17 17 7.18% 7.18%
Noumea Brisbane 916 15 23 21 50.66% 37.55% 1054 18 23 21 30.92% 19.53%
Noumea Cairns 1395 23 28 25 20.43% 7.53% 1605 27 28 25 4.65% 6.56%
Pago Pago Suva 770 13 15 15 16.88% 16.88% 886 15 15 15 1.57% 1.57%
Pago Pago Funafuti 789 13 13 13 1.14% 1.14% 908 15 13 13 14.09% 14.09%
Papaete Wallace Island 1794 30 na 27 na 9.70% 2064 34 na 27 na 21.53%
Papaete Suva 2105 35 na 36 na 2.61% 2422 40 na 36 na 10.83%
Papaete Auckland 2546 42 na 51 na 20.19% 2930 49 na 51 na 4.44%
Papaete Pearl Harbor 2744 46 na 46 na 0.58% 3158 53 na 46 na 12.60%
Pearl Harbor Johnston Island 714 12 12 12 0.84% 0.84% 822 14 12 12 12.37% 12.37%
Pearl Harbor San Francisco 2395 40 38 40 4.80% 0.21% 2756 46 38 40 17.27% 12.92%
Pearl Harbor Vancouver 2709 45 37 38 18.05% 15.84% 3117 52 37 38 28.79% 26.86%
Pearl Harbor Suva 3166 53 50 53 5.24% 0.44% 3643 61 50 53 17.66% 12.72%
Pearl Harbor Port Moresby 4296 72 69 70 3.63% 2.23% 4944 82 69 70 16.26% 15.04%
Peking Seoul 593 10 8 8 19.06% 19.06% 682 11 8 8 29.66% 29.66%
Peking Shanghai 668 11 10 10 10.18% 10.18% 769 13 10 10 21.95% 21.95%
Peking Vladivostok 831 14 13 13 6.14% 6.14% 956 16 13 13 18.44% 18.44%
Peking Chunking 908 15 13 13 14.10% 14.10% 1045 17 13 13 25.35% 25.35%
Peking Irkutsk 1030 17 22 18 28.16% 4.85% 1185 20 22 18 11.36% 8.88%
Peking Tokyo 1304 22 19 19 12.58% 12.58% 1501 25 19 19 24.03% 24.03%
Peking Manila 1773 30 23 23 22.17% 22.17% 2040 34 23 23 32.36% 32.36%
Port Moresby Cairns 522 9 11 11 26.44% 26.44% 601 10 11 11 9.87% 9.87%
Port Moresby Truk 1216 20 16 19 21.05% 6.25% 1399 23 16 19 31.40% 18.53%
100 point sum 152244 2537 2147 2523 na 0.57% 175199 2920 2147 2523 na 13.60%
93 point sum 135688 2261 2147 5.06% 2,602 2147 17.50%

You have too much time on your hands...[;)]

[Captain Cruft]

I tend to think that an area-based approach might have been better for this game. The turns would have needed to be longer though. A different game in other words ...

AB's work is to be greatly applauded. I can't begin to imagine how long it must have taken. Editing the map is extremely difficult and time consuming.