summaryrefslogtreecommitdiff
path: root/astro/xearth/files/freebsd.committers.markers
blob: 9b0c0a7e5f1a89d1ca2d57ebe0de994654ce4342 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
# $FreeBSD$
#
# 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/
#
# Where the difference matters, assume the WGS84 coordinate system,
# which is used by GPS receivers, Google Maps, OpenStreetMap and
# others.
#
# Style (sorted from east to west): sort -n -r -k2
# Lat,		Long,		"name"	opt			# location

-37.800152,	143.751219,	"grog"				# Dereel, VIC, Australia
 35.65757,	139.69288,	"kuriyama"			# Tokyo, Japan
 35.593,	139.688,	"bland"				# Tokyo, Japan
 35.64,		139.65,		"tota"				# Setagaya, Tokyo, Japan
 35.7,		139.6,		"    ,knu,simokawa"		# Tokyo, Japan
 35.59,		139.59,		"tagattie"			# Kawasaki, Kanagawa, Japan
 35.54,		139.53,		"        ,nyan,ume"		# Yokohama, Kanagawa, Japan
 35.36,		139.31,		"                 ,daichi"	# Kawasaki, Kanagawa, Japan
 35.009668,	135.75497,	"takawata"			# Kyoto, Kyoto, Japan
 48.516613,	135.051836,	"fluffy"			# Khabarovsk, Russia
 31.2,		121.5,		"loader"			# Shanghai, China
 25.017,	121.450,	"avatar,kevlo,vanilla,lwhsu,sunpoet"	# Taipei, Taiwan
-31.900,	115.855,	"woodsb02"			# Perth, WA, Australia
-31.97908,	115.81611,	"adrian"			# Crawley, Perth, Western Australia
 22.278865,	114.188836,	"philip"			# Causeway Bay, Hong Kong SAR
 22.80346,	113.80578,	"wen"				# DongGuan, GuangDong, China
 47.921386,	106.910153,	"ganbold"			# Ulaanbaatar, Mongolia
 3.130,		101.669,	"miwi"				# Kuala Lumpur, Malaysia
 55.033,	82.917,		"danfe,fjoe"			# Novosibirsk, Russia
 28.599623,	77.314412,	"ashish"			# Delhi, India
 35.72689,	51.54698,	"mmokhi"			# Tehran, Iran
 51.33,		46.00,		"novel"				# Saratov, Russia
 48.676433,	44.473968,	"arrowd"			# Volgograd, Russia
 55.795636,	37.691646,	"marck"				# Moscow, Russia
 55.87286,	37.6876,	"amdmi3"			# Moscow, Russia
 55.709525,	37.654288,	"glebius"			# Moscow, Russia
 55.7895,	37.635261,	"dchagin"			# Moscow, Russia
 55.8,		37.6,		"bsam,demon,maxim,vsevolod"	# Moscow, Russia
 48.464722,	35.046111,	"mav"				# Dniepropetrovsk, Ukraine
 50.430417,	30.488262,	"kib"				# Kiev, Ukraine
 50.361994,	30.444691,	"avg"				# Kiev, Ukraine
 42.6333,	23.2964,	"vd,syrinx"			# Sofia, Bulgaria
 52.188,	20.896,		"trasz"				# Warszawa, Poland
 47.5519,	19.0912,	"gabor"				# Budapest, Hungary
 59.33,		18.05,		"girgen"			# Stockholm, Sweden
 48.204319,	16.982337,	"danger"			# Bratislava, Slovakia
 48.253,	16.435,		"gerald"			# Vienna, Austria
 48.170744,	16.361604,	"arved"				# Vienna, Austria
 48.178311,	16.326855,	"krion"				# Vienna, Austria
 46.9703,	15.6947,	"decke"				# Oberdorf am Hochegg, Austria
 47.04410,	15.47220,	"jkois"				# Graz, Austria
 49.835978,	13.902689,	"samm"				# Horovice, Czech Republic
 51.03686,	13.787446,	"joerg"				# Dresden, Germany
 52.521848,	13.394147,	"wosch"				# Berlin, Germany
 52.506605,	13.330695,	"0mp"				# Berlin, Germany
 55.42,		13.12,		"brueffer"			# Lund, Sweden
 58.234618,	12.832098,	"joel"				# Arentorp, Sweden
 41.90000,	12.48333,	"bar"				# Roma, Italy
 49.200270,	12.279196,	"marius"			# Cham, Germany
 48.32,		11.67,		"mr"				# Neufahrn, Germany
 55.48821,	11.62152,	"pho"				# Soroe, Denmark
 48.2116,	11.4522,	"mfechner"			# Karlsfeld, Germany
 55.4064909,	11.3368464,	"phk"				# Slagelse, Denmark
 48.095,	11.296,		"harti"				# Gilching, Germany
 43.79142,	11.22991,	"madpilot"			# Florence, Italy
 59.9674,	10.8990,	"des"				# Oslo, Norway
 53.56,		10.02,		"cracauer"			# Hamburg, Germany
 57.196092,	9.673923,	"debdrup"			# Kaas, Denmark
 49.00,		9.5,		"schweikh"			# Weinstadt, Germany
 51.20,		9.20,		"dinoex"			# Habichtswald, Germany
 45.27,		9.17,		"olgeni"			# Milano, Italy
 45.488328,	9.164711,	"ale"		align=left	# Milano, Italy
 48.53778,	9.04111,	"bz"				# Baden-Wuerttemberg
 46.051,	8.919,		"gahr"				# Bedano, Switzerland
 45.667,	8.867,		"nivit"		align=left	# Fagnano Olona, Italy
 53.0793,	8.8017,		"tobik"				# Bremen, Germany
 47.420,	8.6,		"beat"				# Wallisellen, Switzerland
 49.85958,	8.55246,	"bcr"				# Griesheim, Germany
 47.380458,	8.514722,	"ehaupt"			# Zurich, Switzerland
 47.413337,     8.5523847,      "tcberner"			# Zurich, Switzerland
 49.48,		8.42,		"naddy"				# Ludwigshafen, Germany
 51.4233,	7.76057,	"flo"				# Menden, Germany
 50.73389,	7.09972,	"egypcio"			# Bonn, Germany
 49.398056,	6.983889,	"netchild"			# Eppelborn, Germany
 51.05167,	6.91561,	"se"				# Cologne, Germany
 51.146552,	6.86970,	"lme"				# Duesseldorf, Germany
 51.22720,	6.80959,	"pizzamig"			# Duesseldorf, Germany
 51.126809,	6.784074,	"oliver"			# Dormagen, Germany
 45.8766,	6.633,		"lbartoletti"			# Sallanches, France
 49.612,	6.130,		"culot"				# Luxembourg, Luxembourg
 51.86,		5.85,		"adridg"			# Lent, The Netherlands
 53.20460,	5.80429,	"kwm"				# Leeuwarden, The Netherlands
 51.758894,	5.739367,	"ed"				# Grave, the Netherlands
 51.4748,	5.4792,		"rene"				# Eindhoven, the Netherlands
 52.088936,	5.097134,	"dim"				# Utrecht, The Netherlands
 45.636772,	4.949373,	"thierry"	align=left	# Chaponnay, France
 48.83,		2.36,		"antoine"			# Paris, France
 48.79964,	2.35058,	"bapt"				# Villejuif, France
 48.827111,	2.347019,	"sbz"				# Paris, France
 48.87,		2.33,		"cognet"	align=left	# Paris, France
 48.834312,	2.345937	"dumbbell"	align=left	# Paris, France
 48.8473,	2.2856,		"mat"				# Paris, France
 48.912,	2.256,		"mich"		align=left	# La Garenne-Colombes, France
 48.818344,	2.245696,	"roberto"	align=left	# Meudon, France
 48.836,	2.242,		"blackend"	align=left	# Boulogne-Billancourt, France
 51.29870,	1.07005,	"tdb"				# Canterbury, United Kingdom
 52.18,		0.19,		"markm"		align=left	# Cambridge, Cambs, UK
 52.21065,	0.09235,	"rwatson"			# Cambridge, UK
 50.819610,	-0.136490,	"sevan"				# Brighton, East Sussex, UK
 51.53,		-0.18,		"n_hibma"	align=above	# London, UK
 53.955666,	-1.072605,	"gavin"				# York, United Kingdom
 51.782616,	-1.373806,	"matthew"			# Eynsham, UK
 48.12,		-1.60,		"martymac"			# Cesson-Sevigne, France
 48.10927,	-1.61104,	"jadawin"			# Cesson-Sevigne, France
 47.278929,	-1.632911,	"olivier"			# Orvault, France
 53.466667,	-2.233333,	"makc"				# Manchester, United Kingdom
 52.188649,	-2.2341,	"crees"				# Worcester, West Midlands, United Kingdom
 37.1876,	-3.6149,	"cpm"				# Granada, Spain
 40.4445,	-3.6722,	"fernape"			# Madrid, Spain
 53.20,		-6.15,		"dwmalone"	align=left	# Dublin, Ireland
-22.81,		-47.06,		"alfredo"			# Cidade Universitaria, Rio de Janeiro, Brasil
-20.950,	-47.917,	"garga"				# Limeira, SP, Brazil
-27.583,	-48.765,	"araujo"			# Florianopolis, SC, Brazil
-25.477905,	-49.212143,	"wg"				# Curitiba, PR, Brazil
-23.4210,	-51.9331,	"dbaio"				# Maringa, PR, Brazil
 44.63,		-63.58,		"jrm"				# Halifax, Nova Scotia, Canada
 42.375,	-71.106,	"cracauer"			# Cambridge, MA, 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
 45.36613,	-75.71911,	"db"				# Ottawa, ON, Canada
 44.229844,	-76.48019,	"adamw"				# Kingston, ON, Canada
-12.0500,	-77.0500,	"acm"				# Lima, Peru
 38.882,	-77.171,	"trhodes"			# Falls Church, VA, USA
 35.791,	-78.781,	"marcus"			# Cary, NC, USA
 35.82715,	-78.79659,	"osa"				# Cary, NC, USA
 35.8072,	-78.7994,	"gallatin"			# Cary, NC, USA
 35.653138,	-78.843137,	"swills"			# Holly Springs, NC, USA
-2.897414,	-79.004481,	"dmgk"				# Cuenca, Ecuador
 43.22,		-79.86,		"allanjude"			# Hamilton, ON, Canada
 43.48,		-80.54,		"emaste"			# Waterloo, ON, Canada
 35.739974,	-83.993768,	"jhixson"			# Maryville, TN, USA
 42.737,	-84.484,	"nwhitehorn"			# East Lansing, MI, USA
 43.039,	-87.906,	"jwb"				# Milwaukee, WI, USA
 43.02,		-89.41,		"feld"				# Madison, WI, USA
 46.012,	-92.373,	"jpaetzel"			# Danbury, WI, USA
 38.92,		-92.40,		"stephen"			# Columbia, MO, USA
 45.0676,	-92.8234,	"xride"				# Stillwater, MN, USA
 44.89,		-93.35,		"bdrewery"			# Minneapolis, MN, USA
 39.168,	-96.620,	"kevans"			# Manhattan, KS, USA
 30.545,	-97.646,	"ler"				# Round Rock, TX, USA
 30.343,	-97.881,	"   ,linimon"			# Austin, TX, 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,		"asomers,ken"			# Boulder, CO, USA
 40.298753,	-111.696486,	"jamie"				# Orem, UT, USA
 40.615069,	-111.831064,	"bcran"				# Cottonwood Heights, UT, USA
 33.3437,	-111.9344,	"kbowling"			# Tempe, Arizona, USA
 47.74075,	-116.83366,	"jasone"			# Coeur d'Alene, ID, USA
 33.001565,	-117.068113,	"gordon"			# San Diego, CA, USA
 46.070,	-118.324,	"brooks"			# Walla Walla, WA, USA
 52.8,		-119.3,		"rmacklem"			# Valemount, BC, Canada
 35.383,	-120.659,	"jgh"				# San Luis Obispo, CA, USA
 39.25,		-121.02,	"truckman"			# Nevada City, CA, USA
 37.75573,	-121.947116,	"peter"				# San Ramon, CA, USA
 37.96,		-121.98,	"jhb"				# Concord, CA, USA
 37.368,	-121.993,	"gshapiro"			# Santa Clara, CA, USA
 37.406,	-122.032,	"sjg"				# Sunnyvale, CA, USA
 37.38,		-122.05,	"obrien"			# Sunnyvale, CA, USA
 37.40,		-122.07,	"murray"			# Mountain View, CA, USA
 37.3905,	-122.0715,	"delphij"			# Mountain View, CA, USA
 37.89,		-122.12,	"bmah"				# Lafayette, CA, USA
 37.84,		-122.25,	"jmg"				# Oakland, CA, USA
 37.848966,	-122.288577,	"dteske"			# Emeryville, CA, USA
 37.913698,	-122.29414,	"julian"			# El Cerrito, CA, USA
 37.7749,	-122.4194,	"eadler"			# San Francisco, CA, USA
 37.76,		-122.42,	"lx"				# San Francisco, CA, USA
 37.05,		-122.52,	"np"				# Cupertino, CA, 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
 49.2,		-123.08,	"gonzo"				# Vancouver, BC, Canada
 48.7390016,	-123.4424258,	"jmallett"			# Salt Spring Island, BC, Canada
 48.3898,	-123.4875,	"cy"				# Victoria, BC, Canada
-17.56343,	-149.57844,	"romain"			# Faa'a, Tahiti, French Polynesia