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"cell_type": "code",
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"execution_count": 5,
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@@ -146,15 +146,28 @@
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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{
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"ename": "NameError",
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"evalue": "name 'parse_segments' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"Input \u001b[0;32mIn [1]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m segments \u001b[38;5;241m=\u001b[39m \u001b[43mparse_segments\u001b[49m(\u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbikesegments.csv\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 3\u001b[0m places \u001b[38;5;241m=\u001b[39m drop_index(pd\u001b[38;5;241m.\u001b[39mread_table(\u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbikeplaceshort.csv\u001b[39m\u001b[38;5;124m'\u001b[39m), sep\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m'\u001b[39m, comment\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 5\u001b[0m tiles \u001b[38;5;241m=\u001b[39m drop_index(pd\u001b[38;5;241m.\u001b[39mDataFrame(columns\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdate square cluster total comment\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39msplit(), data\u001b[38;5;241m=\u001b[39m[\n\u001b[1;32m 6\u001b[0m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m09/21/2024\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m14\u001b[39m, \u001b[38;5;241m1394\u001b[39m, \u001b[38;5;241m3496\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mMichael J. Fox ride in Sonoma!12470434052\u001b[39m\u001b[38;5;124m'\u001b[39m),\n\u001b[1;32m 7\u001b[0m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m04/28/2024\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m14\u001b[39m, \u001b[38;5;241m1275\u001b[39m, \u001b[38;5;241m3382\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLivermore!11287081291\u001b[39m\u001b[38;5;124m'\u001b[39m),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 17\u001b[0m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m09/08/2022\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m11\u001b[39m, \u001b[38;5;241m300\u001b[39m, \u001b[38;5;241m2487\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mFirst started tracking tiles\u001b[39m\u001b[38;5;124m'\u001b[39m)])\n\u001b[1;32m 18\u001b[0m )\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mformat({\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcomment\u001b[39m\u001b[38;5;124m'\u001b[39m: make_clickable, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdate\u001b[39m\u001b[38;5;124m'\u001b[39m: link_date})\n",
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"\u001b[0;31mNameError\u001b[0m: name 'parse_segments' is not defined"
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]
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}
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],
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"source": [
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"source": [
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"segments = parse_segments(open('bikesegments.csv'))\n",
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"segments = parse_segments(open('bikesegments.csv'))\n",
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"\n",
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"\n",
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"places = drop_index(pd.read_table(open('bikeplaceshort.csv'), sep=',', comment='#'))\n",
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"places = drop_index(pd.read_table(open('bikeplaceshort.csv'), sep=',', comment='#'))\n",
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"\n",
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"\n",
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"tiles = drop_index(pd.DataFrame(columns='date square cluster total comment'.split(), data=[\n",
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"tiles = drop_index(pd.DataFrame(columns='date square cluster total comment'.split(), data=[\n",
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" ('09/21/2024', 14, 1394, 3496, 'Michael J. Fox ride in Sonoma!12470434052'),\n",
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" ('04/28/2024', 14, 1275, 3382, 'Livermore!11287081291'),\n",
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" ('04/28/2024', 14, 1275, 3382, 'Livermore!11287081291'),\n",
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" ('02/25/2024', 14, 1196, 3279, 'Expanding through Santa Cruz and to the South!10838162005'),\n",
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" ('02/25/2024', 14, 1196, 3279, 'Expanding through Santa Cruz and to the South!10838162005'),\n",
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" ('01/01/2024', 14, 1056, 3105, 'Start of this year'),\n",
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" ('01/01/2024', 14, 1056, 3105, 'Start of this year'),\n",
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@@ -178,7 +191,7 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 8,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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@@ -223,7 +236,7 @@
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 14,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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@@ -240,7 +253,8 @@
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" 'done': [rounded(m * p / 100) for m, p in zip(F['miles'], F['pct'])],\n",
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" 'done': [rounded(m * p / 100) for m, p in zip(F['miles'], F['pct'])],\n",
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" 'pct': [pretty_pct(p) for p in F['pct']], \n",
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" 'pct': [pretty_pct(p) for p in F['pct']], \n",
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" 'badge': [badge(float(p)) for p in F['pct']],\n",
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" 'badge': [badge(float(p)) for p in F['pct']],\n",
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" 'to next badge': [to_go(p, m) for p, m in zip(F['pct'], F['miles'])]\n",
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" 'to next badge': [to_go(p, m) for p, m in zip(F['pct'], F['miles'])],\n",
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" 'to big badge': [to_go(p, m, {25: .25, 90: .50}) for p, m in zip(F['pct'], F['miles'])]\n",
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" })\n",
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" })\n",
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"\n",
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"\n",
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"def pretty_pct(pct) -> str:\n",
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"def pretty_pct(pct) -> str:\n",
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@@ -253,13 +267,16 @@
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" return f'{badge}%'\n",
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" return f'{badge}%'\n",
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" return 'none'\n",
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" return 'none'\n",
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"\n",
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"\n",
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"def to_go(pct, miles, targets=(0.02, 0.1, 0.2, 1, 2, 25, 50, 90, 99)):\n",
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"bonuses = {0.02: 0, 0.1: 0, 0.2: 0, 1: 0, 2: 0, 25: .25, 50: .05, 75: .10, 90: .50, 99: .10}\n",
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"\n",
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"def to_go(pct, miles, bonuses=bonuses) -> str:\n",
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" \"\"\"Describe next target to hit to get a badge.\"\"\"\n",
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" \"\"\"Describe next target to hit to get a badge.\"\"\"\n",
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" done = pct * miles / 100\n",
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" done = pct * miles / 100\n",
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" return next((f'{rounded(target / 100 * miles - done):>5} mi to {target}%' \n",
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" for b in bonuses:\n",
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" for target in targets\n",
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" if done < b / 100 * miles:\n",
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" if done < target / 100 * miles), \n",
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" delta = b / 100 * miles - done\n",
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" '')\n",
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" return f'{rounded(delta):>5} mi to {b}% ({rounded(bonuses[b] * miles + delta)} points)'\n",
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" return ''\n",
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" \n",
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" \n",
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"def rounded(x: float) -> str: \n",
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"def rounded(x: float) -> str: \n",
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" \"\"\"Round x to 3 spaces wide (if possible).\"\"\"\n",
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" \"\"\"Round x to 3 spaces wide (if possible).\"\"\"\n",
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@@ -281,7 +298,7 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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},
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 11,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"source": [
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"source": [
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@@ -3,103 +3,107 @@ name,miles,county,pct
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#,,, San Mateo County = SMC
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#,,, San Mateo County = SMC
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#,,,
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#,,,
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Atherton,56.3,SMC,100
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Atherton,56.3,SMC,100
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Bay Area Ridge Trail,395.6,SMC,28.68
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Bay Area Ridge Trail,395.6,SMC,29.02
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Belmont,98.1,SMC,88.39
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Belmont,98.1,SMC,90.43
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Brisbane,40.9,SMC,50.4
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Brisbane,40.9,SMC,49.62
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Broadmoor,8.8,SMC,38.26
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Broadmoor,8.8,SMC,38.26
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Burleigh Murray Park,2.1,SMC,95.08
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Burleigh Murray Park,2.1,SMC,95.08
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Burlingame,88.4,SMC,56.88
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Burlingame,88.4,SMC,56.50
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Burlingame Hills,6,SMC,71.5
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Burlingame Hills,6,SMC,71.45
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Butano State Park,15.2,SMC,30.1
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Butano State Park,15.2,SMC,29.28
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Coal Creek Preserve,3.9,SMC,66.7
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Coal Creek Preserve,3.9,SMC,68.74
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Colma,13.7,SMC,66.24
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Colma,13.7,SMC,64.79
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Daly City,148.1,SMC,28.27
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Daly City,148.1,SMC,28.42
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East Palo Alto,48.3,SMC,99.95
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East Palo Alto,48.3,SMC,99.97
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El Corte de Madera OSP,34.54,SMC,26.88
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El Corte de Madera OSP,34.54,SMC,26.85
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El Granada,49.2,SMC,43.6
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El Granada,49.2,SMC,53.71
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Emerald Lake Hills,24.6,SMC,99.96
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Emerald Lake Hills,24.6,SMC,100
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Foster City,150,SMC,99.4
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Foster City,150,SMC,99.14
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Half Moon Bay,68,SMC,34.0
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Half Moon Bay,68,SMC,50.56
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Half Moon Bay State Beach,4.4,SMC,52.4
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Half Moon Bay State Beach,4.4,SMC,65.89
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Hillsborough,85.3,SMC,53.1
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Hillsborough,85.3,SMC,53.12
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Kensington Square,0.6,SMC,100
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Kensington Square,0.6,SMC,100
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Ladera,8.1,SMC,100
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Ladera,8.1,SMC,100
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Long Ridge Preserve,11.0,SMC,45.1
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Long Ridge Preserve,11.0,SMC,45.10
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Los Trancos OSP,0.3,SMC,100
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Los Trancos OSP,0.3,SMC,100
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Los Trancos Woods,5.3,SMC,100
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Los Trancos Woods,5.3,SMC,100
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Menlo Oaks,3.5,SMC,100
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Menlo Oaks,3.5,SMC,100
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Menlo Park,139.5,SMC,99.9
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Menlo Park,139.5,SMC,99.97
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Millbrae,65,SMC,51.3
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Millbrae,67.8,SMC,52.05
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Montara,27.8,SMC,60.2
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Montara,27.8,SMC,61.15
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Moss Beach,19.7,SMC,43.69
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Moss Beach,19.7,SMC,59.66
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North Fair Oaks,26.7,SMC,100
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North Fair Oaks,26.7,SMC,100
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Pacifica,150.9,SMC,33.2
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Pacifica,150.9,SMC,36.80
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Palomar Park,4,SMC,100
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Palomar Park,4,SMC,100
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Portola Redwoods SP,2.9,SMC,74.3
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Portola Redwoods SP,2.9,SMC,74.07
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Portola Valley,48.2,SMC,99.93
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Portola Valley,48.2,SMC,100
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Purisima Creek Preserve,16.5,SMC,39.0
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Purisima Creek Preserve,16.5,SMC,39.09
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Redwood City,240.5,SMC,99.73
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Redwood City,240.5,SMC,99.66
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Russian Ridge Preserve,12.2,SMC,59.5
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Russian Ridge Preserve,12.2,SMC,59.66
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San Bruno,114,SMC,34.9
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San Bruno,114,SMC,36.42
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San Carlos,99,SMC,99.50
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San Carlos,99,SMC,99.51
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San Mateo,256,SMC,54.6
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San Mateo,256,SMC,54.64
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San Mateo Highlands,18,SMC,93.5
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San Mateo Highlands,18,SMC,92.36
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Sequoia Tract,11,SMC,100
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Sequoia Tract,11,SMC,100
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Sky Londa,11.8,SMC,99.7
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Sky Londa,10.42,SMC,98.49
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Skyline Ridge OSP,0.8,SMC,76.4
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Skyline Ridge OSP,0.8,SMC,75.41
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South San Francisco,185.3,SMC,30.98
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South San Francisco,185.3,SMC,30.97
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West Menlo Park,11.2,SMC,99.75
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West Menlo Park,11.2,SMC,100
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Windy Hill Preserve,4.1,SMC,100
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Windy Hill Preserve,4.1,SMC,100
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Woodside,75.2,SMC,99.83
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Woodside,75.2,SMC,99.08
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#,,,
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#,,,
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#,,, Santa Clara County = SCC
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#,,, Santa Clara County = SCC
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#,,,
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#,,,
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Branham,44,SCC,33.2
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Branham,44,SCC,33.21
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Campbell,119,SCC,30.3
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Campbell,119,SCC,30.48
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Communications Hill,27.8,SCC,39.5
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Communications Hill,27.8,SCC,35.31
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Cupertino,172,SCC,54.42
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Cupertino,172,SCC,76.32
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Edenvale,30,SCC,47.7
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Edenvale,30,SCC,47.65
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Foothills OS Preserve,1.1,SCC,100
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Foothills OS Preserve,1.1,SCC,100
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Gardner,23.4,SCC,47.2
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Gardner,23.4,SCC,46.93
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Gilroy,188.9,SCC,26.4
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Gilroy,188.9,SCC,26.88
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Los Altos,138.2,SCC,99.89
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Los Altos,138.2,SCC,99.87
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Los Altos Hills,91.3,SCC,99.78
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Los Altos Hills,91.3,SCC,99.46
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Los Gatos,148,SCC,52.04
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Los Gatos,148,SCC,52.05
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Loyola,18.3,SCC,99.94
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Loyola,18.3,SCC,99.94
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Milpitas,224,SCC,36.7
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Milpitas,224,SCC,37.36
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Monte Sereno,20.4,SCC,52.4
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Monte Sereno,20.4,SCC,53.04
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Mountain View,208.1,SCC,99.81
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Mountain View,208.1,SCC,99.49
|
||||||
Palo Alto,297.2,SCC,99.51
|
Palo Alto,297.2,SCC,99.52
|
||||||
Parkview,42.5,SCC,33.7
|
Parkview,42.5,SCC,34.07
|
||||||
San Francisco Bay Trail,260.8,SCC,68.47
|
San Francisco Bay Trail,260.8,SCC,67.77
|
||||||
San Jose,2618.7,SCC,28.62
|
San Jose,2618.7,SCC,28.59
|
||||||
San Martin,35.3,SCC,31.85
|
San Martin,35.3,SCC,31.41
|
||||||
Santa Clara,348,SCC,34.8
|
Santa Clara,348,SCC,35.26
|
||||||
Saratoga,180,SCC,53.7
|
Saratoga,180,SCC,53.84
|
||||||
Stanford,82.53,SCC,99.13
|
Stanford,82.53,SCC,99.66
|
||||||
Seven Trees,40.9,SCC,34
|
Seven Trees,40.9,SCC,34.06
|
||||||
Spartan Keyes,64.3,SCC,36.8
|
Spartan Keyes,64.3,SCC,36.59
|
||||||
Sunnyvale,357,SCC,55.3
|
Sunnyvale,357,SCC,58.34
|
||||||
Willow Glen,81.6,SCC,36
|
Willow Glen,81.6,SCC,36.23
|
||||||
Willow Glen South,63.3,SCC,30.9
|
Willow Glen South,63.3,SCC,31.02
|
||||||
#,,,
|
#,,,
|
||||||
#,,, Alameda County = ALA
|
#,,, Alameda County = ALA
|
||||||
#,,,
|
#,,,
|
||||||
Alameda,206.7,ALA,12.2
|
Alameda,206.7,ALA,12.41
|
||||||
Albany,42.7,ALA,6.8
|
Albany,42.7,ALA,6.96
|
||||||
Ashland,35.1,ALA,36.1
|
Ashland,35.1,ALA,36.49
|
||||||
Berkeley,260.3,ALA,7.8
|
Berkeley,260.3,ALA,7.84
|
||||||
Castro Valley,192.5,ALA,26.1
|
Castro Valley,192.5,ALA,26.48
|
||||||
Cherryland,20.9,ALA,27.8
|
Cherryland,20.9,ALA,27.97
|
||||||
Emeryville,28.1,ALA,7.7
|
Dublin,225.94,ALA,26.84
|
||||||
Fairview,34.4,ALA,29.2
|
Emeryville,28.1,ALA,7.72
|
||||||
Fremont,780.2,ALA,34.3
|
Fairview,34.4,ALA,29.18
|
||||||
Hayward,444.5,ALA,33.2
|
Fremont,780.2,ALA,35.58
|
||||||
Hayward Acres,3.5,ALA,43.3
|
Hayward,444.5,ALA,33.24
|
||||||
Newark,147,ALA,51.6
|
Hayward Acres,3.5,ALA,43.53
|
||||||
San Leandro,230.6,ALA,28.1
|
Livermore,448.52,ALA,5.46
|
||||||
|
Newark,147,ALA,68.00
|
||||||
|
Pleasonton,344.91,ALA,7.52
|
||||||
|
San Leandro,230.6,ALA,28.18
|
||||||
San Lorenzo,55.5,ALA,40.95
|
San Lorenzo,55.5,ALA,40.95
|
||||||
Union City,208.8,ALA,33.37
|
San Ramon,306.46,ALA,9.36
|
||||||
|
Union City,208.8,ALA,33.36
|
||||||
#,,,
|
#,,,
|
||||||
#,,, SF County = SFC
|
#,,, SF County = SFC
|
||||||
#,,,
|
#,,,
|
||||||
@@ -134,38 +138,39 @@ Sutro Heights,7.1,SFC,13.2
|
|||||||
#,,, Far Away Places
|
#,,, Far Away Places
|
||||||
#,,,
|
#,,,
|
||||||
Barangaroo,1.7,NSW,47.3
|
Barangaroo,1.7,NSW,47.3
|
||||||
Bodega Bay,28.9,SON,17
|
Bodega Bay,28.9,SON,17.23
|
||||||
Cambridge,180.8,MAS,6.2
|
Cambridge,180.8,MAS,6.2
|
||||||
Castle Rock State Park,11.2,SCC,51.2
|
Castle Rock State Park,11.2,SCC,51.2
|
||||||
Corte Madera,51,MAR,12.9
|
Corte Madera,51,MAR,12.9
|
||||||
Dawes Point,1.8,NSW,29.2
|
Dawes Point,1.8,NSW,29.2
|
||||||
Forest of Nisene Marks SP,44.0,SCC,30.7
|
Forest of Nisene Marks SP,44.0,SCC,30.7
|
||||||
Guerneville,22.7,SON,23.6
|
Guerneville,22.7,SON,24.08
|
||||||
Healdsburg,53.7,SON,17.8
|
Healdsburg,56.59,SON,6.42
|
||||||
Marin Headlands GGNRA,65.7,MAR,31.9
|
Marin Headlands GGNRA,65.7,MAR,31.9
|
||||||
Mill Valley,92.2,MAR,9.1
|
Mill Valley,92.2,MAR,13.43
|
||||||
Millers Point,3.2,NSW,34.3
|
Millers Point,3.2,NSW,34.3
|
||||||
MIT,9.6,MAS,34.7
|
MIT,9.6,MAS,34.7
|
||||||
Mokelumne Hill,14.7,CAL,26.8
|
Mokelumne Hill,14.7,CAL,26.8
|
||||||
Mt Tamalpais State Park,31.7,MAR,38.7
|
Mt Tamalpais State Park,31.7,MAR,38.46
|
||||||
|
Mt Tamalpais Watershed,102.87,MAR,22.55
|
||||||
Muir Beach,4.6,MAR,37.1
|
Muir Beach,4.6,MAR,37.1
|
||||||
Rosie Riveter Park,5.5,CCC,73.2
|
Rosie Riveter Park,5.5,CCC,73.2
|
||||||
San Rafael,260,MAR,3.7
|
San Rafael,260,MAR,3.7
|
||||||
Sausalito,32.7,MAR,12.9
|
Sausalito,32.7,MAR,27.90
|
||||||
Stinson Beach,11.2,MAR,32.9
|
Stinson Beach,11.2,MAR,32.9
|
||||||
#,,,
|
#,,,
|
||||||
#,,, Counties and Bigger
|
#,,, Counties and Bigger
|
||||||
#,,,
|
#,,,
|
||||||
San Mateo County,2814,---,66.64
|
San Mateo County,2826.05,---,68.30
|
||||||
Santa Clara County,7569,---,35.6
|
Santa Clara County,7690.85,---,36.18
|
||||||
Alameda County,5818,---,17.71
|
Alameda County,5802.83,---,18.93
|
||||||
Marin County,2333,---,10.94
|
Marin County,2453.18,---,11.79
|
||||||
San Francisco County,1217,---,9.26
|
San Francisco County,1234.85,---,10.04
|
||||||
Napa County,1609,---,8.9
|
Napa County,1677.57,---,8.90
|
||||||
Sonoma County,4895,---,5.12
|
Sonoma County,4955.3,---,7.55
|
||||||
Santa Cruz County,2718,---,7.12
|
Santa Cruz County,2700.36,---,10.58
|
||||||
Contra Costa County,5945,---,3.8
|
Contra Costa County,5905.56,---,4.12
|
||||||
#,,,
|
#,,,
|
||||||
California,377037,---,1.92
|
California,387818.83,---,0.01995
|
||||||
USA,6406754,---,0.12
|
USA,6447239.43,---,0.001269
|
||||||
Earth,41974536,---,0.018
|
Earth,45515258.11,---,0.0001865
|
||||||
|
|||||||
|
@@ -2,9 +2,14 @@ date title hours miles feet
|
|||||||
#
|
#
|
||||||
# 2024
|
# 2024
|
||||||
#
|
#
|
||||||
|
Sun, 10/27/2024 Morgan Hill + Newark 5:13:14 72.04 1,591
|
||||||
|
Fri, 10/11/2024 Pacific to Tunitas + 5:32:47 72.17 5,351
|
||||||
|
Fri, 9/20/2024 Santa Rosa + Michael J Fox 6:16:40 93.33 3,628
|
||||||
|
Fri, 9/6/2024 Yet Another Wandrer.earth Update + Canada with David 6:03:23 73.08 2,332
|
||||||
|
Sun, 8/25/2024 Petaluma–Santa Rosa + Napa 5:13:12 84.26 2,966
|
||||||
Sun, 8/18/2024 Dumbarton / Niles / Milpitas Loop+ 5:30:39 74.53 1,242
|
Sun, 8/18/2024 Dumbarton / Niles / Milpitas Loop+ 5:30:39 74.53 1,242
|
||||||
Sat, 8/17/2024 Los Gatos 5:00:52 71.06 1,932
|
Sat, 8/17/2024 Los Gatos 5:00:52 71.06 1,932
|
||||||
Fri, 7/19/2024 Belmont 3:22:04 72.97 3,716
|
Fri, 7/19/2024 Belmont 6:22:04 72.97 3,716
|
||||||
Sat, 7/13/2024 100K Km + Morning Ride 6:27:14 63.59 2,487
|
Sat, 7/13/2024 100K Km + Morning Ride 6:27:14 63.59 2,487
|
||||||
Wed, 7/10/2024 Completed Foster City 5:11:12 73.77 927
|
Wed, 7/10/2024 Completed Foster City 5:11:12 73.77 927
|
||||||
Sat, 6/1/2024 OLH / Old Haul / Loma Mar / Pescadero / Tunitas / Kings 7:50:15 81.70 7,314
|
Sat, 6/1/2024 OLH / Old Haul / Loma Mar / Pescadero / Tunitas / Kings 7:50:15 81.70 7,314
|
||||||
|
|||||||
|
Reference in New Issue
Block a user