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# $FreeBSD$
#
# FreeBSD Project Committers
#
# In case you don't know the exact coordinates, you might find it at
# http://maps.google.com/ or http://www.heavens-above.com/

#
# Style (sorted from east to west): sort -n -r -k2
# Lat,      Long,       "name"  opt         # location

-41.2124,   174.8870,   "thompsa"           # Wellington, New Zealand
-34.045657, 151.117163, "edwin"             # Caringbah NSW, Australia
-33.55,     151.1,      "bde"               # Sydney, Australia
-37.7,      144.9,      "     jb,benno"         # Melbourne, Vic, Australia
-37.8185,   143.739473, "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
 35.593,    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
 35.342838, 139.621633, "onoe"              # Yokohama, Japan
 35.7,      139.6,      "     knu,simokawa"     # Tokyo, Japan
 35.650,    139.567,    "        ,max"          # Chofu, Tokyo, 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
 35.37200,  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
 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
 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
 25.017,    121.450,    "avatar,clive,foxfair,kevlo,vanilla,leeym,rafan,chinsan,ijliao,lwhsu,sunpoet"   # Taipei, Taiwan
 24.787313, 120.997286, "yzlin"             # 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
-31.97908,  115.81611,  "adrian"            # Crawley, Perth, Western Australia
 22.80346,  113.80578,  "wen"               # DongGuan, GuangDong, China
 22.1957,   113.549,    "vs"                # Macau, Macau SAR
 47.921386, 106.910153, "ganbold"           # Ulaanbaatar, Mongolia
 3.167,     101.700,    "ariff"             # Kuala Lumpur, Malaysia
 55.033,    82.917,     "danfe,fjoe"            # Novosibirsk, Russia
 28.599623, 77.314412   "ashish"            # Delhi, India
 13.6325,   78.4552,    "jkoshy"            # Rishi Valley, India
 43.219564, 76.851597,  "bp"                # Almaty, Kazakhstan
 48.336389, 9.836389,   "helbig"            # Waiblingen, Germany
 51.33,     46.00,      "novel"             # Saratov, Russia
 48.805,    44.586,     "den"               # Volgograd, Russia
 56.021256, 38.389701,  "makc"              # Chernogolovka, Russia
 55.740978, 37.830851,  "sem"               # Moscow, Russia
 55.7,      37.8,       "az"                # Moscow, Russia
 55.795636, 37.691646,  "marck"             # Moscow, Russia
 55.869236, 37.680909,  "amdmi3"            # Moscow, Russia
 55.709525, 37.654288,  "glebius"           # Moscow, Russia
 55.799107, 37.560936,  "osa"               # Moscow, Russia
 55.8,      37.6,       "ache,bsam,demon,maxim,rik,skv,vsevolod,yar"    # Moscow, Russia
 55.768764, 37.588938,  "sergei"            # Moscow, Russia
 55.750799, 37.565689,  "krion"             # Moscow, Russia
 55.7203,   37.4314,    "sat"               # Moscow, Russia
 48.464722, 35.046111,  "mav"               # Dniepropetrovsk, Ukraine
 44.95,     34.1,       "phantom,ru"            # Simferopol, Ukraine
 50.430417, 30.488262,  "kib"               # Kiev, Ukraine
 50.361994, 30.444691,  "avg"               # Kiev, Ukraine
 46.28,     30.44,      "anray"             # Odessa, Ukraine
-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"          # (CORE) Patras, Greece
 47.533,    21.633,     "pgj"               # Debrecen, Hungary 
 50.034361, 19.942396,  "raj"               # Krakow, Poland
 41.33,     19.8,       "eri"               # Tirana, Albania
 47.5519,   19.0912,    "gabor"             # Budapest, Hungary
 59.3695,   18.0642,    "snb"               # Stockholm, Sweden
 59.33,     18.05,      "girgen"            # Stockholm, Sweden
 48.143889, 17.109722,  "rdivacky"          # Bratislava, Slovakia
 48.204319, 16.982337,  "danger"            # Bratislava, Slovakia
 48.253,    16.435,     "gerald"            # Vienna, Austria
 48.213740, 16.385784,  "arved"             # Vienna, Austria
 48.2168,   16.3339,    "le"                # Vienna, Austria
 48.2114,   16.3105,    "stefanf"           # Vienna, Austria
 46.9703,   15.6947,    "decke"             # Oberdorf am Hochegg, Austria
 52.188,    20.896,     "trasz"             # Warszawa, Poland
 47.04410,  15.47220,   "jkois"             # Graz, Austria
 46.055,    14.514,     "lesi"              # Ljubljana, Slovenia
 50.090425, 14.473704,  "pav"               # Prague, Czech Republic
 51.0383,   13.7206,    "joerg"             # Dresden, Germany
 52.521848, 13.394147,  "wosch"             # Berlin, Germany
 58.234618, 12.832098,  "joel"              # Arentorp, Sweden
 55.709434, 12.561944,  "tobez"             # Copenhagen, Denmark
 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
 48.05,     11.9667,    "gj"                # Munich, Germany
 45.417,    11.883,     "matteo"            # Padova, Italy
 48.32,     11.67,      "mr"                # Neufahrn, Germany
 48.108055, 11.635277,  "olli"              # Munich, Germany
 55.48821,  11.62152,   "pho"               # Soroe, Denmark
 48.109752, 11.572466,  "barner"            # Munich, Germany
 55.406124, 11.3397291, "phk"               # Slagelse, Denmark
 48.095,    11.296,     "harti"             # Gilching, Germany
 48.16,     11.26,      "rse"               # Dachau, Germany
 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
 54.231,    10.291,     "miwi"              # Preetz, Germany
 56.156,    10.201,     "brix"              # Aarhus, Denmark
 57.2,      10.2,       "sos"               # Klokkerholm, Denmark
 56.14,     10.184,     "lbr"               # Aarhus, Denmark
 53.56,     10.02,      "cracauer"          # Hamburg, Germany
 54.9870,   9.9789,     "xride"             # Fynshav, Denmark
 55.98699,  9.89339,    "erwin"             # Tranbjerg J, Denmark
 53.64,     9.84,       "hm"        align=left  # Rellingen, Germany
 49.00,     9.5,        "schweikh"          # Weinstadt, Germany
 51.20,     9.20,       "dinoex"            # Habichtswald, Germany
 45.467,    9.200,      "piso"              # Milano, Italy
 45.27,     9.17,       "olgeni"            # Milano, Italy
 45.488328, 9.164711,   "ale"       align=left  # Milano, Italy
 48.53778,  9.04111,    "bz"                # Baden-Wuerttemberg
 46.29523,  8.98232,    "gahr"              # Lodrino, Switzerland
 52.05,     8.9,        "lkoeller"          # Lemgo, Germany
 45.667,    8.867,      "nivit"     align=left  # Fagnano Olona, Italy
 49.85958,  8.55246,    "bcr"               # Griesheim, Germany
 47.397,    8.532,      "brueffer"          # Zurich, Switzerland
 47.1666,   8.5166,     "dhartmei"          # Zug, Switzerland
 47.380458, 8.514722,   "ehaupt"            # Zurich, Switzerland
 49.014958, 8.445214,   "mlaier"            # Rintheim, Germany
 45.32,     8.42,       "avilla"            # Vercelli, Italy
 49.48,     8.42,       "naddy"             # Ludwigshafen, Germany
 47.25,     8.37,       "beat"              # Duebendorf, Switzerland
 40.5701089,    8.32383334, "jacula"    align=below # Alghero, Italy
 47.23,     8.32,       "andre"             # Zurich, Switzerland
 51.68,     7.8,        "dhn"               # Hamm, Germany
 51.533,    7.683,      "stefan"            # Unna, Germany
 51.290484, 7.293945,   "markus"            # Dortmund, 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
 50.9953,   6.9175,     "se"                # Cologne, Germany
 51.146552, 6.86970,    "lme"               # Duesseldorf, Germany
 51.126809, 6.784074,   "oliver"            # Dormagen, Germany
 51.4666,   6.6166,     "ticso"             # Moers, Germany
 51.12,     6.41,       "andreas"           # Neuss, Germany
 50.76107,  6.09304,    "tg"                # Aachen, Germany
 47.2430,   6.0219,     "jmz"               # Besanc\c{o}n, France
 51.98,     5.96,       "wilko"             # (CORE) Arnhem, The Netherlands
 53.20460,  5.80429,    "kwm"               # Leeuwarden, 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
 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
 51.473,    5.470,      "johans"    align=left  # Eindhoven, the Netherlands
 52.05,     5.283333,   "znerd"             # Driebergen-Rijsenburg, the Netherlands
 52.088936, 5.097134,   "dim"               # Utrecht, The Netherlands
 45.636772, 4.949373,   "thierry"   align=left  # Chaponnay, France
 50.936796, 4.564304,   "philip"    align=left  # Kampenhout, Belgium
 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
 48.8345364 2.7160113   "martymac"          # Bussy Saint Georges, France
 48.83,     2.36,       "antoine"           # Paris, France
 41.6666,   2.3333,     "jesusr"            # Barcelona, Spain
 48.87,     2.33,       "dumbbell,cognet"   align=left  # Paris, France
 48.847135, 2.28514,    "mat"               # Paris, France
 48.8391,   2.265565,   "roberto"   align=left  # Paris, France
 48.912,    2.256,      "mich"      align=left  # La Garenne-Colombes, France
 48.836,    2.242,      "blackend"  align=left  # Boulogne-Billancourt, France
 48.844,    2.213,      "bapt"              # Saint Cloud, France
 46.75984,  1.738281,   "stephane"          # Orleans, France
 51.29870,  1.07005,    "tdb"               # Canterbury, United Kingdom
 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"           # (CORE) Cambridge, UK
 52.116761, 0.056618,   "dmlb"              # Cambridge, UK
 51.5,      0.0,        " dfr"              # London, UK
 51.53,     -0.18,      "n_hibma"   align=above # London, UK
 51.50,     -0.48,      "nik"       align=left  # West Drayton, Middx., UK
 51.67,     -0.61,      "markm"     align=left  # Amersham, Bucks, 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
 52.635,    -1.135,     "hmp"               # Leicester, East Midlands, UK
 48.10927,  -1.61104,   "jadawin"           # Cesson-Sevigne, France
 42.8474,   -2.66976,   "carvay"            # Araba, Vitoria-Gasteiz, Spain
 51.49,     -3.16,      "ceri"              # Cardiff, UK
 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
 41.157889, -8.628699,  "rpaulo"            # Porto, Portugal
-9.603815,  -35.724911, "lippe"             # Maceio, AL, Brazil
-19.917,    -43.933,    "jmelo"             # Belo Horizonte, MG, Brazil
-15.8,      -47.9,      "lioux"             # Brasilia, DF, 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
-30.043826, -51.13801,  "mnag"              # Porto Alegre, RS, Brazil
-34.600,    -58.450,    "alepulver"         # Buenos Aires, Argentina
 42.1411,   -70.8453,   "jeh"       align=below # Hanover, 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
-16.399,    -71.535,    "acm"               # Arequipa, Peru
 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
 40.741778, -73.903098, "skreuzer"          # Woodside, NY, USA
 40.86004,  -73.98038,  "jkim"              # Leonia, NJ, USA
 43,        -75,        "gnn"               # New York, NY, USA
 40.75,     -73.97,     "sahil"             # New York, NY, USA 
 45.366,    -75.193,    "db"                # Ottawa, ON, Canada
 45.3991,   -75.6942,   "jake"              # 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
 38.836899, -77.113810, "pgollucci"         # Old Town, VA, USA
 38.882,    -77.171,    "trhodes"           # Falls Church, VA, USA
 39.128555, -77.203029, "   ,green"         # Gaithersburg, MD, USA
 35.653138, -78.843137, "swills"            # Holly Springs, NC, USA
 35.798,    -78.781,    "wxs"               # Cary, NC, USA
 35.791,    -78.781,    "marcus"            # Cary, NC, USA
 35.8072,   -78.7994,   "gallatin"          # Cary, NC, USA
 35.73,     -78.91,     "bsd"               # Apex, NC, USA
 43.37,     -79.79,     "hoek"              # Burlington, ON, Canada
 40.441667, -80,        "rvb"               # Pittsburgh, PA, US
 43.55,     -80.25,     "rmacklem"          # Guelph, ON, Canada
 37.23,     -80.41,     "mikeh"             # Blacksburg, VA, USA
 43.48,     -80.54,     "emaste"            # Waterloo, ON, Canada
 34.827667, -82.553759, "laszlof"           # Easley, SC, USA
 42.28,     -83.75,     "rees"              # Ann Arbor, MI, USA
 33.817888, -84.485421, "ahze"              # Smyrna, GA, USA
 39.1361,   -84.5030,   "cokane"            # Cincinnati, OH, USA
 33.916601, -84.641075, "jhb"               # Marietta, GA, USA
 36.294167, -82.4725,   "jsa"               # Jonesborough, TN, USA
 35.555301, -86.054649, "rnoland"           # Manchester, TN, USA
 34.81095,  -86.70977,  "steve"             # Huntsville, AL, USA
 43.039,    -87.906,    "silby"             # Milwaukee, WI, USA
 48.400,    -89.233,    "tabthorpe"         # Thunder Bay, ON, Canada
 43.19,     -89.38,     "jlemon"            # Madison, WI, USA
 43.063,    -89.452,    "nwhitehorn"            # Madison, WI, USA
 41.748,    -92.724,    "brooks"            # (CORE) Grinnell, IA, USA
 44.458333, -93.161111, "jpaetzel"          # Northfield, MN, USA
 44.99,     -93.25,     "mpp"               # Minneapolis, MN, USA
 42.02,     -93.67,     "ghelmer"           # Ames, IA, USA
 29.834,    -95.00,     "     ,chris"           # Houston, TX, USA
 37.0625,   -95.677068, "kmacy"             # Palo Alto, CA, USA
 29.7925,   -95.8225,   "dwcjr"             # Katy, TX, USA
 30.508,    -97.679,    "scf"               # Round Rock, TX, USA
 30.343,    -97.881,    "          ,linimon"        # Austin, TX, USA
 30.404158, -97.735479, "ade"               # Austin, TX, USA
 37.972,    -100.872,   "mezz"              # Garden City, KS, USA
 39.897418, -104.981891,    "brd"               # Northglenn, CO, USA
 39.897418, -105.074891,    "will"              # Westminster, CO, USA
 40.01942534,   -105.23914289,  "imp"               # Boulder, CO, USA
 40.1,      -105.3,     "gibbs,ken"         # Boulder, CO, USA
 29.067,    -110.967,   "jcamou"            # Hermosillo, Sonora, Mexico
 40.298753, -111.696486,    "jamie"             # Orem, UT, 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
 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,"        # (CORE) Los Angeles, CA, USA
 33.979,    -118.439,   "                           dougb,"# Marina del Rey, 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"             # (CORE) San Ramon, CA, USA
 37.37781,  -121.951980,    "seanc"             # Santa Clara, 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
 37.68,     -122.03,    "bmah"              # Castro Valley, CA, USA
 37.38,     -122.05,    "obrien"            # Sunnyvale, CA, USA
 37.39,     -122.06,    "marcel"            # Mountain View, CA, USA
 37.40,         -122.07,        "murray"            # (CORE) Mountain View, CA, USA
 37.3905,   -122.0715,  "delphij"           # Mountain View, CA, USA
 37.39,     -122.11,    "bakul"             # Los Altos, 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
 37.887398, -122.264896,    "gsutter,sam"           # Berkeley, CA, USA
 37.386666, -122.268966,    "fenner"            # Sky Londa, 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
 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
 37.8067,   -122.4113,  "jmallett"          # North Beach, 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
 37.460421, -122.155141,    "mjacob"            # Menlo Park, 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
 49.27705,  -122.91385, "cperciva"          # Burnaby, 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
 48.3898,   -123.4875,  "cy"                # Victoria, BC, Canada
 40.0,      -123.5,     "jkh"               # Miranda, CA, USA
 61.214020, -149.881220,    "beech"             # Anchorage, AK, USA