Page MenuHomeFreeBSD
Differential D25889 Diff 75171 head/astro/xearth/files/freebsd.committers.markers

Changeset View

Standalone View

View Options

head/astro/xearth/files/freebsd.committers.markers

# $FreeBSD$ # $FreeBSD$
# #
# FreeBSD Project Committers # FreeBSD Project Committers
# #
# In case you don't know the exact coordinates, you might find it at # In case you don't know the exact coordinates, you might find it at
# http://maps.google.com/ or http://www.heavens-above.com/ # http://maps.google.com/ or http://www.heavens-above.com/
# #
# Style (sorted from east to west): sort -n -r -k2 # Style (sorted from east to west): sort -n -r -k2
# Lat, Long, "name" opt # location # Lat, Long, "name" opt # location
-41.2124, 174.8870, "thompsa" # Wellington, New Zealand
-34.045657, 151.117163, "edwin" # Caringbah NSW, Australia
-37.7, 144.9, " jb,benno" # Melbourne, Vic, Australia
-37.800152, 143.751219, "grog" # Dereel, VIC, Australia -37.800152, 143.751219, "grog" # Dereel, VIC, Australia
35.69, 139.92, "metal" # Ichikawa, Chiba, Japan
35.707, 139.785, "motoyuki" # Tokyo, Japan
35.561, 139.716, "rushani" # Tokyo, Japan
35.65757, 139.69288, "kuriyama" # Tokyo, Japan 35.65757, 139.69288, "kuriyama" # Tokyo, Japan
35.593, 139.688, "bland" # Tokyo, Japan 35.593, 139.688, "bland" # Tokyo, Japan
35.55, 139.67, "suz,sumikawa" # Kawasaki, Kanagawa, Japan
35.16, 139.67, " ,tanimura" # Yokosuka, Kanagawa, Japan
35.64, 139.65, "tota" # Setagaya, Tokyo, Japan 35.64, 139.65, "tota" # Setagaya, Tokyo, Japan
35.342838, 139.621633, "onoe" # Yokohama, Japan
35.7, 139.6, " knu,simokawa" # Tokyo, Japan 35.7, 139.6, " knu,simokawa" # Tokyo, Japan
35.59, 139.59, "tagattie" # Kawasaki, Kanagawa, Japan 35.59, 139.59, "tagattie" # Kawasaki, Kanagawa, Japan
35.650, 139.567, " ,max" # Chofu, Tokyo, Japan
35.54, 139.53, " ,nyan,ume" # Yokohama, Kanagawa, Japan 35.54, 139.53, " ,nyan,ume" # Yokohama, Kanagawa, Japan
35.38, 139.31, "shige" # Fuchu, Tokyo, Japan
35.36, 139.31, " ,daichi" # Kawasaki, Kanagawa, Japan 35.36, 139.31, " ,daichi" # Kawasaki, Kanagawa, Japan
35.37200, 139.28240, "sanpei" # Inagi, Tokyo, Japan
-34.53, 138.35, "markp,benjsc" align=left # Adelaide, SA, Australia
35.009668, 135.75497, "takawata" # Kyoto, Kyoto, Japan 35.009668, 135.75497, "takawata" # Kyoto, Kyoto, Japan
34.60, 135.51, "yoichi" # Osaka, Osaka, Japan
35.0, 135.47, "maho" # Kyoto, Kyoto, Japan
34.47, 135.26, "matusita" # Ikeda, Osaka, Japan
48.24138, 135.07563, "fluffy" # Khabarovsk, Russia 48.24138, 135.07563, "fluffy" # Khabarovsk, Russia
33.334370, 130.255625, "flathill" # Fukuoka, Fukuoka, Japan
50.260369, 127.554703, "avl" # Blagoveshchensk, Russia
37.56, 126.98, "cjh,yongari" # Seoul, South Korea
37.56587, 126.93098, "perky" # Seoul, South Korea
25.041, 121.614, "clsung" # NanKang, Taipei, Taiwan
31.2, 121.5, "loader" # Shanghai, China 31.2, 121.5, "loader" # Shanghai, China
25.017, 121.450, "avatar,clive,foxfair,kevlo,vanilla,leeym,rafan,chinsan,ijliao,lwhsu,sunpoet" # Taipei, Taiwan 25.017, 121.450, "avatar,kevlo,vanilla,lwhsu,sunpoet" # Taipei, Taiwan
24.787313, 120.997286, "yzlin,pclin" # HsinChu, Taiwan
36.6, 120.19, "dryice" # Qingdao, Shandong, China
30.2727, 120.1662, "davidxu" # HangZhou, ZheJiang, China
39.550, 116.214, "nemoliu" # Beijing, Beijing, China
-31.928982, 115.912435, "lawrance" # Perth, Australia
-31.900, 115.855, "woodsb02" # Perth, WA, Australia -31.900, 115.855, "woodsb02" # Perth, WA, Australia
-31.97908, 115.81611, "adrian" # Crawley, Perth, Western Australia -31.97908, 115.81611, "adrian" # Crawley, Perth, Western Australia
22.278865, 114.188836, "philip" # Causeway Bay, Hong Kong SAR 22.278865, 114.188836, "philip" # Causeway Bay, Hong Kong SAR
22.80346, 113.80578, "wen" # DongGuan, GuangDong, China 22.80346, 113.80578, "wen" # DongGuan, GuangDong, China
22.1957, 113.549, "vs" # Macau, Macau SAR
47.921386, 106.910153, "ganbold" # Ulaanbaatar, Mongolia 47.921386, 106.910153, "ganbold" # Ulaanbaatar, Mongolia
3.167, 101.700, "ariff" # Kuala Lumpur, Malaysia
3.130, 101.669, "miwi" # Kuala Lumpur, Malaysia 3.130, 101.669, "miwi" # Kuala Lumpur, Malaysia
55.033, 82.917, "danfe,fjoe" # Novosibirsk, Russia 55.033, 82.917, "danfe,fjoe" # Novosibirsk, Russia
13.6325, 78.4552, "jkoshy" # Rishi Valley, India
28.599623, 77.314412, "ashish" # Delhi, India 28.599623, 77.314412, "ashish" # Delhi, India
43.219564, 76.851597, "bp" # Almaty, Kazakhstan
35.72689, 51.54698, "mmokhi" # Tehran, Iran 35.72689, 51.54698, "mmokhi" # Tehran, Iran
51.33, 46.00, "novel" # Saratov, Russia 51.33, 46.00, "novel" # Saratov, Russia
48.805, 44.586, "den" # Volgograd, Russia
48.676433, 44.473968, "arrowd" # Volgograd, Russia 48.676433, 44.473968, "arrowd" # Volgograd, Russia
55.740978, 37.830851, "sem" # Moscow, Russia
55.7, 37.8, "az" # Moscow, Russia
55.702594, 37.784919, "zont" # Moscow, Russia
55.795636, 37.691646, "marck" # Moscow, Russia 55.795636, 37.691646, "marck" # Moscow, Russia
55.869236, 37.680909, "amdmi3" # Moscow, Russia 55.869236, 37.680909, "amdmi3" # Moscow, Russia
55.709525, 37.654288, "glebius" # Moscow, Russia 55.709525, 37.654288, "glebius" # Moscow, Russia
55.7895, 37.635261, "dchagin" # Moscow, Russia 55.7895, 37.635261, "dchagin" # Moscow, Russia
55.8, 37.6, "ache,bsam,demon,maxim,rik,skv,vsevolod,yar" # Moscow, Russia 55.8, 37.6, "bsam,demon,maxim,vsevolod" # Moscow, Russia
55.768764, 37.588938, "sergei" # Moscow, Russia
55.7203, 37.4314, "sat" # Moscow, Russia
48.464722, 35.046111, "mav" # Dniepropetrovsk, Ukraine 48.464722, 35.046111, "mav" # Dniepropetrovsk, Ukraine
44.95, 34.1, "phantom,ru" # Simferopol, Ukraine
50.430417, 30.488262, "kib" # Kiev, Ukraine 50.430417, 30.488262, "kib" # Kiev, Ukraine
50.361994, 30.444691, "avg" # Kiev, Ukraine 50.361994, 30.444691, "avg" # Kiev, Ukraine
46.28, 30.44, "anray" # Odessa, Ukraine 42.6333, 23.2964, "vd,syrinx" # Sofia, Bulgaria
-25.80974, 28.27731, "jhay" # Pretoria, South Africa
44.420, 26.1371, "itetcu" # Bucharest, Romania
35.517, 24.033, "manolis" # Chania, Crete, Greece
37.98, 23.73, "dds" # Athens, Greece
42.6333, 23.2964, "roam,vd,syrinx" # Sofia, Bulgaria
65.58, 22.17, "johan" # Lulea, Sweden
38.218762, 21.742405, "keramida" # Patras, Greece
47.533, 21.633, "pgj" # Debrecen, Hungary
52.188, 20.896, "trasz" # Warszawa, Poland 52.188, 20.896, "trasz" # Warszawa, Poland
50.034361, 19.942396, "raj" # Krakow, Poland
41.33, 19.8, "eri" # Tirana, Albania
47.5519, 19.0912, "gabor" # Budapest, Hungary 47.5519, 19.0912, "gabor" # Budapest, Hungary
59.3695, 18.0642, "snb" # Stockholm, Sweden
59.33, 18.05, "girgen" # Stockholm, Sweden 59.33, 18.05, "girgen" # Stockholm, Sweden
48.143889, 17.109722, "rdivacky" # Bratislava, Slovakia
48.204319, 16.982337, "danger" # Bratislava, Slovakia 48.204319, 16.982337, "danger" # Bratislava, Slovakia
48.253, 16.435, "gerald" # Vienna, Austria 48.253, 16.435, "gerald" # Vienna, Austria
48.170744, 16.361604, "arved" # Vienna, Austria 48.170744, 16.361604, "arved" # Vienna, Austria
48.2168, 16.3339, "le" # Vienna, Austria
48.178311, 16.326855, "krion" # Vienna, Austria 48.178311, 16.326855, "krion" # Vienna, Austria
48.2114, 16.3105, "stefanf" # Vienna, Austria
46.9703, 15.6947, "decke" # Oberdorf am Hochegg, Austria 46.9703, 15.6947, "decke" # Oberdorf am Hochegg, Austria
47.04410, 15.47220, "jkois" # Graz, Austria 47.04410, 15.47220, "jkois" # Graz, Austria
46.055, 14.514, "lesi" # Ljubljana, Slovenia
50.090425, 14.473704, "pav" # Prague, Czech Republic
49.835978, 13.902689, "samm" # Horovice, Czech Republic 49.835978, 13.902689, "samm" # Horovice, Czech Republic
51.03686, 13.787446, "joerg" # Dresden, Germany 51.03686, 13.787446, "joerg" # Dresden, Germany
52.521848, 13.394147, "wosch" # Berlin, Germany 52.521848, 13.394147, "wosch" # Berlin, Germany
52.506605, 13.330695, "0mp" # Berlin, Germany 52.506605, 13.330695, "0mp" # Berlin, Germany
55.42, 13.12, "brueffer" # Lund, Sweden 55.42, 13.12, "brueffer" # Lund, Sweden
58.234618, 12.832098, "joel" # Arentorp, Sweden 58.234618, 12.832098, "joel" # Arentorp, Sweden
55.66283, 12.596603, "erwin" # Copenhagen, Denmark
55.66192, 12.5695, "lbr" # Copenhagen, Denmark
55.709434, 12.561944, "tobez" # Copenhagen, Denmark
41.90000, 12.48333, "bar" # Roma, Italy 41.90000, 12.48333, "bar" # Roma, Italy
55.754892, 12.467337, "lth" # Bagsvaerd, Denmark
55.627, 12.382, "simon" # Vallensbaek, Denmark
47.867, 12.333, "obraun" # Prien a. Chiemsee, Germany
49.200270, 12.279196, "marius" # Cham, Germany 49.200270, 12.279196, "marius" # Cham, Germany
48.05, 11.9667, "gj" # Munich, Germany
45.417, 11.883, "matteo" # Padova, Italy
48.32, 11.67, "mr" # Neufahrn, Germany 48.32, 11.67, "mr" # Neufahrn, Germany
48.108055, 11.635277, "olli" # Munich, Germany
55.48821, 11.62152, "pho" # Soroe, Denmark 55.48821, 11.62152, "pho" # Soroe, Denmark
48.109752, 11.572466, "barner" # Munich, Germany
48.2116, 11.4522, "mfechner" # Karlsfeld, Germany 48.2116, 11.4522, "mfechner" # Karlsfeld, Germany
55.4064909, 11.3368464, "phk" # Slagelse, Denmark 55.4064909, 11.3368464, "phk" # Slagelse, Denmark
48.095, 11.296, "harti" # Gilching, Germany 48.095, 11.296, "harti" # Gilching, Germany
48.16, 11.26, "rse" # Dachau, Germany
43.79142, 11.22991, "madpilot" # Florence, Italy 43.79142, 11.22991, "madpilot" # Florence, Italy
59.9674, 10.8990, "des" # Oslo, Norway 59.9674, 10.8990, "des" # Oslo, Norway
59.92, 10.75, "eivind,anders" # Oslo, Norway
63.434851, 10.40341, "tegge" # Trondheim, Norway
43.71, 10.40, "luigi" # Pisa, Italy
56.156, 10.201, "brix" # Aarhus, Denmark
57.2, 10.2, "sos" # Klokkerholm, Denmark
53.56, 10.02, "cracauer" # Hamburg, Germany 53.56, 10.02, "cracauer" # Hamburg, Germany
53.64, 9.84, "hm" align=left # Rellingen, Germany
48.336389, 9.836389, "helbig" # Waiblingen, Germany
57.196092, 9.673923, "debdrup" # Kaas, Denmark 57.196092, 9.673923, "debdrup" # Kaas, Denmark
49.00, 9.5, "schweikh" # Weinstadt, Germany 49.00, 9.5, "schweikh" # Weinstadt, Germany
51.20, 9.20, "dinoex" # Habichtswald, Germany 51.20, 9.20, "dinoex" # Habichtswald, Germany
45.467, 9.200, "piso" # Milano, Italy
45.27, 9.17, "olgeni" # Milano, Italy 45.27, 9.17, "olgeni" # Milano, Italy
45.488328, 9.164711, "ale" align=left # Milano, Italy 45.488328, 9.164711, "ale" align=left # Milano, Italy
48.53778, 9.04111, "bz" # Baden-Wuerttemberg 48.53778, 9.04111, "bz" # Baden-Wuerttemberg
46.051, 8.919, "gahr" # Bedano, Switzerland 46.051, 8.919, "gahr" # Bedano, Switzerland
52.05, 8.9, "lkoeller" # Lemgo, Germany
45.667, 8.867, "nivit" align=left # Fagnano Olona, Italy 45.667, 8.867, "nivit" align=left # Fagnano Olona, Italy
53.0793, 8.8017, "tobik" # Bremen, Germany 53.0793, 8.8017, "tobik" # Bremen, Germany
47.420, 8.6, "beat" # Wallisellen, Switzerland 47.420, 8.6, "beat" # Wallisellen, Switzerland
49.85958, 8.55246, "bcr" # Griesheim, Germany 49.85958, 8.55246, "bcr" # Griesheim, Germany
47.1666, 8.5166, "dhartmei" # Zug, Switzerland
47.380458, 8.514722, "ehaupt" # Zurich, Switzerland 47.380458, 8.514722, "ehaupt" # Zurich, Switzerland
49.014958, 8.445214, "mlaier" # Rintheim, Germany
49.48, 8.42, "naddy" # Ludwigshafen, Germany 49.48, 8.42, "naddy" # Ludwigshafen, Germany
45.32, 8.42, "avilla" # Vercelli, Italy
40.5701089, 8.32383334, "jacula" align=below # Alghero, Italy
47.23, 8.32, "andre" # Zurich, Switzerland
51.68, 7.8, "dhn" # Hamm, Germany
51.4233, 7.76057, "flo" # Menden, Germany 51.4233, 7.76057, "flo" # Menden, Germany
51.533, 7.683, "stefan" # Unna, Germany
51.290484, 7.293945, "markus" # Dortmund, Germany
50.73389, 7.09972, "egypcio" # Bonn, Germany 50.73389, 7.09972, "egypcio" # Bonn, Germany
51.385658, 7.007214, "lofi" # Essen, Germany
43.6, 7.00, "clement,bruno" align=left # Mougins, France
49.398056, 6.983889, "netchild" # Eppelborn, Germany 49.398056, 6.983889, "netchild" # Eppelborn, Germany
50.9953, 6.9175, "se" # Cologne, Germany 50.9953, 6.9175, "se" # Cologne, Germany
51.146552, 6.86970, "lme" # Duesseldorf, Germany 51.146552, 6.86970, "lme" # Duesseldorf, Germany
51.22720, 6.80959, "pizzamig" # Duesseldorf, Germany 51.22720, 6.80959, "pizzamig" # Duesseldorf, Germany
51.126809, 6.784074, "oliver" # Dormagen, Germany 51.126809, 6.784074, "oliver" # Dormagen, Germany
45.8766, 6.633, "lbartoletti" # Sallanches, France 45.8766, 6.633, "lbartoletti" # Sallanches, France
51.4666, 6.6166, "ticso" # Moers, Germany
51.12, 6.41, "andreas" # Neuss, Germany
49.612, 6.130, "culot" # Luxembourg, Luxembourg 49.612, 6.130, "culot" # Luxembourg, Luxembourg
50.76107, 6.09304, "tg" # Aachen, Germany
51.98, 5.96, "wilko" # Arnhem, The Netherlands
51.86, 5.85, "adridg" # Lent, The Netherlands 51.86, 5.85, "adridg" # Lent, The Netherlands
53.20460, 5.80429, "kwm" # Leeuwarden, The Netherlands 53.20460, 5.80429, "kwm" # Leeuwarden, The Netherlands
51.758894, 5.739367, "ed" # Grave, the Netherlands 51.758894, 5.739367, "ed" # Grave, the Netherlands
51.86, 5.54, "asmodai" # Barendrecht, The Netherlands
51.4748, 5.4792, "rene" # Eindhoven, the Netherlands 51.4748, 5.4792, "rene" # Eindhoven, the Netherlands
51.473, 5.470, "johans" align=left # Eindhoven, the Netherlands
45.1116, 5.4337, "damien" # Grenoble, France
43.27357, 5.40153, "hq" align=left # Marseille, France
51.25, 5.30, "guido" align=left # Eindhoven, the Netherlands
52.05, 5.283333, "znerd" # Driebergen-Rijsenburg, the Netherlands
52.088936, 5.097134, "dim" # Utrecht, The Netherlands 52.088936, 5.097134, "dim" # Utrecht, The Netherlands
45.636772, 4.949373, "thierry" align=left # Chaponnay, France 45.636772, 4.949373, "thierry" align=left # Chaponnay, France
51.890, 4.554, "remko" # Rotterdam, The Netherlands
51.9201, 4.4905, "marks" # Rotterdam, The Netherlands
50.383, 4.36, "jylefort" align=left # Charleroi, Belgium
50.7323, 3.104, "vanhu" # Tourcoing, France
48.36, 2.99, "charnier" align=left # Cannes Ecluse, France
48.83, 2.36, "antoine" # Paris, France 48.83, 2.36, "antoine" # Paris, France
48.79964, 2.35058 "bapt" # Villejuif, France 48.79964, 2.35058 "bapt" # Villejuif, France
48.827111, 2.347019, "sbz" # Paris, France 48.827111, 2.347019, "sbz" # Paris, France
41.6666, 2.3333, "jesusr" # Barcelona, Spain
48.87, 2.33, "dumbbell,cognet" align=left # Paris, France 48.87, 2.33, "dumbbell,cognet" align=left # Paris, France
48.8473, 2.2856, "mat" # Paris, France 48.8473, 2.2856, "mat" # Paris, France
48.912, 2.256, "mich" align=left # La Garenne-Colombes, France 48.912, 2.256, "mich" align=left # La Garenne-Colombes, France
48.818344, 2.245696, "roberto" align=left # Meudon, France 48.818344, 2.245696, "roberto" align=left # Meudon, France
48.836, 2.242, "blackend" align=left # Boulogne-Billancourt, France 48.836, 2.242, "blackend" align=left # Boulogne-Billancourt, France
46.75984, 1.738281, "stephane" # Orleans, France
51.29870, 1.07005, "tdb" # Canterbury, United Kingdom 51.29870, 1.07005, "tdb" # Canterbury, United Kingdom
52.18, 0.19, "markm" align=left # Cambridge, Cambs, UK 52.18, 0.19, "markm" align=left # Cambridge, Cambs, UK
52.20360, 0.14134, "rsm" # Cambridge, UK
50.84121667, 0.128383333, "joe" # Brighton, East Sussex, UK
52.2035, 0.1200, "fanf" # Cambridge, UK
52.21065, 0.09235, "rwatson" # Cambridge, UK 52.21065, 0.09235, "rwatson" # Cambridge, UK
52.116761, 0.056618, "dmlb" # Cambridge, UK
51.5, 0.0, " dfr" # London, UK
50.819610, -0.136490, "sevan" # Brighton, East Sussex, UK 50.819610, -0.136490, "sevan" # Brighton, East Sussex, UK
51.53, -0.18, "n_hibma" align=above # London, UK 51.53, -0.18, "n_hibma" align=above # London, UK
51.50, -0.48, "nik" align=left # West Drayton, Middx., UK
52.01, -0.75, "tom" align=left # Milton Keynes, UK
51.461916, -1.011833, "jesper" # Reading, United Kingdom
53.955666, -1.072605, "gavin" # York, United Kingdom 53.955666, -1.072605, "gavin" # York, United Kingdom
52.635, -1.135, "hmp" # Leicester, East Midlands, UK
51.782616, -1.373806 "matthew" # Eynsham, UK 51.782616, -1.373806 "matthew" # Eynsham, UK
48.12, -1.60, "martymac" # Cesson-Sevigne, France 48.12, -1.60, "martymac" # Cesson-Sevigne, France
48.10927, -1.61104, "jadawin" # Cesson-Sevigne, France 48.10927, -1.61104, "jadawin" # Cesson-Sevigne, France
47.394586, -1.658038, "olivier" # Heric, France 47.394586, -1.658038, "olivier" # Heric, France
53.466667, -2.233333, "makc" # Manchester, United Kingdom 53.466667, -2.233333, "makc" # Manchester, United Kingdom
52.188649, -2.2341, "crees" # Worcester, West Midlands, United Kingdom 52.188649, -2.2341, "crees" # Worcester, West Midlands, United Kingdom
42.8474, -2.66976, "carvay" # Araba, Vitoria-Gasteiz, Spain
51.49, -3.16, "ceri" # Cardiff, UK
37.1876, -3.6149, "cpm" # Granada, Spain 37.1876, -3.6149, "cpm" # Granada, Spain
40.4445, -3.6722, "fernape" # Madrid, Spain 40.4445, -3.6722, "fernape" # Madrid, Spain
53.20, -6.15, "dwmalone" align=left # Dublin, Ireland 53.20, -6.15, "dwmalone" align=left # Dublin, Ireland
53.286499, -6.196429, "flz" # Stillorgan, Co. Dublin, Ireland
53.65, -6.67, "peadar" align=above # Navan, Co. Meath, Ireland
-9.603815, -35.724911, "lippe" # Maceio, AL, Brazil
-19.917, -43.933, "jmelo" # Belo Horizonte, MG, Brazil
-22.81, -47.06, "alfredo" # Cidade Universitaria, Rio de Janeiro, Brasil -22.81, -47.06, "alfredo" # Cidade Universitaria, Rio de Janeiro, Brasil
-15.8, -47.9, "lioux" # Brasilia, DF, Brazil
-20.950, -47.917, "garga" # Limeira, SP, Brazil -20.950, -47.917, "garga" # Limeira, SP, Brazil
-15.789297, -47.931097, "dcs" # Brasilia, DF, Brazil
-27.583, -48.765, "araujo" # Florianopolis, SC, Brazil -27.583, -48.765, "araujo" # Florianopolis, SC, Brazil
-25.477905, -49.212143, "wg" # Curitiba, PR, Brazil -25.477905, -49.212143, "wg" # Curitiba, PR, Brazil
-30.043826, -51.13801, "mnag" # Porto Alegre, RS, Brazil
-23.4210, -51.9331, "dbaio" # Maringa, PR, Brazil -23.4210, -51.9331, "dbaio" # Maringa, PR, Brazil
-34.600, -58.450, "alepulver" # Buenos Aires, Argentina
44.63, -63.58, "jrm" # Halifax, Nova Scotia, Canada 44.63, -63.58, "jrm" # Halifax, Nova Scotia, Canada
42.1411, -70.8453, "jeh" align=below # Hanover, MA, USA
42.375, -71.106, "cracauer" # Cambridge, MA, USA 42.375, -71.106, "cracauer" # Cambridge, MA, USA
42.34, -71.19, "wollman" align=right # Brighton, MA, USA
42.28, -71.23, "tmclaugh" align=left # Needham, MA, USA
42.7430, -71.5915, "glarkin" # Hollis, NH, USA
41.354, -71.967, "deischen" # Mystic, CT, USA
45.50, -73.6666, "bmilekic" # Montreal, Quebec, Canada
42.73656, -73.67030, "jon" # Troy, NY, USA
42.72915, -73.68172, "gad" # RPI @ Troy, NY, USA 42.72915, -73.68172, "gad" # RPI @ Troy, NY, USA
40.741778, -73.903098, "skreuzer" # Woodside, NY, USA 40.741778, -73.903098, "skreuzer" # Woodside, NY, USA
40.75, -73.97, "sahil" # New York, NY, USA
40.86004, -73.98038, "jkim" # Leonia, NJ, USA 40.86004, -73.98038, "jkim" # Leonia, NJ, USA
43, -75, "gnn" # New York, NY, USA 43, -75, "gnn" # New York, NY, USA
45.3991, -75.6942, "jake" # Ottawa, ON, Canada
45.36613, -75.71911, "db" # Ottawa, ON, Canada 45.36613, -75.71911, "db" # Ottawa, ON, Canada
42.26785, -76.28954, "pat" # Ithaca, NY, USA
39.046, -76.442, "patrick" # Annapolis, MD, USA
44.229844, -76.48019, "adamw" # Kingston, ON, Canada 44.229844, -76.48019, "adamw" # Kingston, ON, Canada
-12.0500, -77.0500, "acm" # Lima, Peru -12.0500, -77.0500, "acm" # Lima, Peru
38.836899, -77.113810, "pgollucci" # Old Town, VA, USA
38.882, -77.171, "trhodes" # Falls Church, VA, USA 38.882, -77.171, "trhodes" # Falls Church, VA, USA
39.128555, -77.203029, " ,green" # Gaithersburg, MD, USA
35.798, -78.781, "wxs" # Cary, NC, USA
35.791, -78.781, "marcus" # Cary, NC, USA 35.791, -78.781, "marcus" # Cary, NC, USA
35.82715, -78.79659, "osa" # Cary, NC, USA 35.82715, -78.79659, "osa" # Cary, NC, USA
35.8072, -78.7994, "gallatin" # Cary, NC, USA 35.8072, -78.7994, "gallatin" # Cary, NC, USA
35.653138, -78.843137, "swills" # Holly Springs, NC, USA 35.653138, -78.843137, "swills" # Holly Springs, NC, USA
35.73, -78.91, "bsd" # Apex, NC, USA
-2.897414, -79.004481, "dmgk" # Cuenca, Ecuador -2.897414, -79.004481, "dmgk" # Cuenca, Ecuador
43.37, -79.79, "hoek" # Burlington, ON, Canada
43.22, -79.86, "allanjude" # Hamilton, ON, Canada 43.22, -79.86, "allanjude" # Hamilton, ON, Canada
40.441667, -80, "rvb" # Pittsburgh, PA, US
37.23, -80.41, "mikeh" # Blacksburg, VA, USA
43.48, -80.54, "emaste" # Waterloo, ON, Canada 43.48, -80.54, "emaste" # Waterloo, ON, Canada
36.294167, -82.4725, "jsa" # Jonesborough, TN, USA
34.827667, -82.553759, "laszlof" # Easley, SC, USA
42.28, -83.75, "rees" # Ann Arbor, MI, USA
35.739974, -83.993768, "jhixson" # Maryville, TN, USA 35.739974, -83.993768, "jhixson" # Maryville, TN, USA
42.737, -84.484, "nwhitehorn" # East Lansing, MI, USA 42.737, -84.484, "nwhitehorn" # East Lansing, MI, USA
33.817888, -84.485421, "ahze" # Smyrna, GA, USA
39.1361, -84.5030, "cokane" # Cincinnati, OH, USA
35.555301, -86.054649, "rnoland" # Manchester, TN, USA
39.978436, -86.11805, "scf" # Carmel, IN, USA
34.81095, -86.70977, "steve" # Huntsville, AL, USA
43.039, -87.906, "silby" # Milwaukee, WI, USA
43.039, -87.906, "jwb" # Milwaukee, WI, USA 43.039, -87.906, "jwb" # Milwaukee, WI, USA
48.400, -89.233, "tabthorpe" # Thunder Bay, ON, Canada
43.19, -89.38, "jlemon" # Madison, WI, USA
43.02, -89.41, "feld" # Madison, WI, USA 43.02, -89.41, "feld" # Madison, WI, USA
46.012, -92.373, "jpaetzel" # Danbury, WI, USA 46.012, -92.373, "jpaetzel" # Danbury, WI, USA
38.92, -92.40, "stephen" # Columbia, MO, USA 38.92, -92.40, "stephen" # Columbia, MO, USA
45.0676, -92.8234, "xride" # Stillwater, MN, USA 45.0676, -92.8234, "xride" # Stillwater, MN, USA
44.99, -93.25, "mpp" # Minneapolis, MN, USA
44.89, -93.35, "bdrewery" # Minneapolis, MN, USA 44.89, -93.35, "bdrewery" # Minneapolis, MN, USA
42.02, -93.67, "ghelmer" # Ames, IA, USA
29.834, -95.00, " ,chris" # Houston, TX, USA
30.715833, -95.5525, "ade" # Huntsville, TX, USA
37.0625, -95.677068, "kmacy" # Palo Alto, CA, USA
29.7925, -95.8225, "dwcjr" # Katy, TX, USA
39.168, -96.620, "kevans" # Manhattan, KS, USA 39.168, -96.620, "kevans" # Manhattan, KS, USA
30.47702408, -97.64801025, "ler" # Pflugerville, TX, USA 30.47702408, -97.64801025, "ler" # Pflugerville, TX, USA
30.343, -97.881, " ,linimon" # Austin, TX, USA 30.343, -97.881, " ,linimon" # Austin, TX, USA
37.972, -100.872, "mezz" # Garden City, KS, USA
39.897418, -104.981891, "brd" # Northglenn, CO, USA 39.897418, -104.981891, "brd" # Northglenn, CO, USA
39.897418, -105.074891, "will" # Westminster, CO, USA 39.897418, -105.074891, "will" # Westminster, CO, USA
40.01942534, -105.23914289, "imp" # Boulder, CO, USA 40.01942534, -105.23914289, "imp" # Boulder, CO, USA
40.1, -105.3, "asomers,gibbs,ken" # Boulder, CO, USA 40.1, -105.3, "asomers,ken" # Boulder, CO, USA
29.067, -110.967, "jcamou" # Hermosillo, Sonora, Mexico
40.298753, -111.696486, "jamie" # Orem, UT, USA 40.298753, -111.696486, "jamie" # Orem, UT, USA
40.615069, -111.831064, "bcran" # Cottonwood Heights, UT, USA 40.615069, -111.831064, "bcran" # Cottonwood Heights, UT, USA
33.3437, -111.9344, "kbowling" # Tempe, Arizona, USA 33.3437, -111.9344, "kbowling" # Tempe, Arizona, USA
51.083, -114.13, "davidc" # Calgary, Alberta, Canada
51.083, -114.167, "aaron" # Calgary, Alberta, Canada
47.74075, -116.83366, "jasone" # Coeur d'Alene, ID, USA 47.74075, -116.83366, "jasone" # Coeur d'Alene, ID, USA
33.001565, -117.068113, " gordon" # San Diego, CA, USA 33.001565, -117.068113, " gordon" # San Diego, CA, USA
33.032476, -117.087532, "wes," # San Diego, CA, USA
33.66, -117.80, " dd,davidch"# Irvine, CA, USA
33.83, -118.22, " trevor," # Dominguez, CA, USA
34.11, -118.29, " kris," # Los Angeles, CA, USA
46.070, -118.324, "brooks" # Walla Walla, WA, USA 46.070, -118.324, "brooks" # Walla Walla, WA, USA
52.8, -119.3, "rmacklem" # Valemount, BC, Canada 52.8, -119.3, "rmacklem" # Valemount, BC, Canada
35.383, -120.659, "jgh" # San Luis Obispo, CA, USA 35.383, -120.659, "jgh" # San Luis Obispo, CA, USA
39.25, -121.02, "truckman" # Nevada City, CA, USA 39.25, -121.02, "truckman" # Nevada City, CA, USA
38.54, -121.76, "mharo" # Davis, CA, USA
37.4014, -121.9265, "weongyo" # San Jose, CA, USA
37.40, -121.94, "alfred" # Santa Clara, CA, USA
37.75573, -121.947116, "peter" # San Ramon, CA, USA 37.75573, -121.947116, "peter" # San Ramon, CA, USA
37.96, -121.98, "jhb" # Concord, CA, USA 37.96, -121.98, "jhb" # Concord, CA, USA
37.359394, -121.992, "cjc" # Santa Clara, CA, USA
37.4, -122.0, "asami" # Santa Clara, CA, USA
37.3583, -122.0154, "stas" # Sunnyvale, CA, USA
37.533333, -122.033333, "rpaulo" # Newark, CA, USA.
37.38, -122.05, "obrien" # Sunnyvale, CA, USA 37.38, -122.05, "obrien" # Sunnyvale, CA, USA
37.39, -122.06, "marcel" # Mountain View, CA, USA
37.40, -122.07, "murray" # Mountain View, CA, USA 37.40, -122.07, "murray" # Mountain View, CA, USA
37.3905, -122.0715, "delphij" # Mountain View, CA, USA 37.3905, -122.0715, "delphij" # Mountain View, CA, USA
37.39, -122.11, "bakul" # Los Altos, CA, USA
37.89, -122.12, "bmah" # Lafayette, CA, USA 37.89, -122.12, "bmah" # Lafayette, CA, USA
37.460421, -122.155141, "mjacob" # Menlo Park, CA, USA
47.382689, -122.227021, "garys" # Kent, WA, USA
37.81875, -122.2466, "kientzle" # Oakland, CA, USA
37.84, -122.25, "jmg" # Oakland, CA, USA 37.84, -122.25, "jmg" # Oakland, CA, USA
37.4703, -122.2548, "dhw" # Redwood City, CA, USA
37.887398, -122.264896, "gsutter,sam" # Berkeley, CA, USA
37.386666, -122.268966, "fenner" # Sky Londa, CA, USA
37.848966, -122.288577, "dteske" # Emeryville, CA, USA 37.848966, -122.288577, "dteske" # Emeryville, CA, USA
37.913698, -122.29414, "julian" # El Cerrito, CA, USA 37.913698, -122.29414, "julian" # El Cerrito, CA, USA
37.51, -122.30, "kbyanc" # Belmont, CA, USA
37.90641, -122.30927, "gshapiro" # Richmond, CA, USA 37.90641, -122.30927, "gshapiro" # Richmond, CA, USA
47.75596, -122.345697, "seanc" # Seattle, WA, USA
47.672538, -122.383830, "zml" # Seattle, WA, USA
45.31, -122.39, "alexbl" # Portland, OR, USA
37.781, -122.398, "billf" # SOMA, San Francisco, CA, USA
37.7749, -122.4194, "eadler" # San Francisco, CA, USA 37.7749, -122.4194, "eadler" # San Francisco, CA, USA
37.76, -122.42, "lx" # San Francisco, CA, USA 37.76, -122.42, "lx" # San Francisco, CA, USA
37.80, -122.43, "njl" # Downtown San Francisco, CA, USA
37.77, -122.44, "archie" # Haight, San Francisco, CA, USA
37.05, -122.52, "np" # Cupertino, CA, USA 37.05, -122.52, "np" # Cupertino, CA, USA
45.5, -122.6, "dg" # near Portland, OR, USA
47.643, -122.614, "glewis" # Bremerton, WA, USA 47.643, -122.614, "glewis" # Bremerton, WA, USA
49.27705, -122.91385, "cperciva" # Burnaby, BC, Canada 49.27705, -122.91385, "cperciva" # Burnaby, BC, Canada
49.204533, -122.919931, "sobomax" # New Westminster, BC, Canada 49.204533, -122.919931, "sobomax" # New Westminster, BC, Canada
48.482814, -122.94369, "jdp" # Lopez Island, WA, USA
49.349453, -123.022793, "brian" align=left # North Vancouver, Canada
44.04, -123.06, "anholt" # Eugene, OR, USA
49.2, -123.08, "gonzo" # Vancouver, BC, Canada 49.2, -123.08, "gonzo" # Vancouver, BC, Canada
48.7390016, -123.4424258, "jmallett" # Salt Spring Island, BC, Canada 48.7390016, -123.4424258, "jmallett" # Salt Spring Island, BC, Canada
48.3898, -123.4875, "cy" # Victoria, BC, Canada 48.3898, -123.4875, "cy" # Victoria, BC, Canada
40.0, -123.5, "jkh" # Miranda, CA, USA
-17.56343, -149.57844, "romain" # Faa'a, Tahiti, French Polynesia -17.56343, -149.57844, "romain" # Faa'a, Tahiti, French Polynesia
61.21884, -149.888462, "beech" # Anchorage, AK, USA