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nsw-2016-storm-impact/notebooks/13_locality_plot.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"import shapely.geometry as sgeom\n",
"from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
"import cartopy.feature \n",
"import cartopy.crs as ccrs\n",
"\n",
"import matplotlib.lines as mlines"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Matplot lib default settings\n",
"plt.rcParams[\"figure.figsize\"] = (10, 6)\n",
"plt.rcParams['axes.grid'] = True\n",
"plt.rcParams['grid.alpha'] = 0.3\n",
"plt.rcParams['grid.color'] = \"grey\"\n",
"plt.rcParams['grid.linestyle'] = \"--\"\n",
"plt.rcParams['grid.linewidth'] = 0.5\n",
"plt.rcParams['axes.grid'] = True\n",
"\n",
"# # https://stackoverflow.com/a/20709149\n",
"matplotlib.rcParams['text.usetex'] = True\n",
"matplotlib.rcParams['font.family'] = 'sans-serif'\n",
"\n",
"matplotlib.rcParams['text.latex.preamble'] = [\n",
" r'\\usepackage{siunitx}', # i need upright \\micro symbols, but you need...\n",
" r'\\sisetup{detect-all}', # ...this to force siunitx to actually use your fonts\n",
" r'\\usepackage[default]{sourcesanspro}',\n",
" r'\\usepackage{amsmath}',\n",
" r'\\usepackage{sansmath}', # load up the sansmath so that math -> helvet\n",
" r'\\sansmath', # <- tricky! -- gotta actually tell tex to use!\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
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"source": [
"def blank_axes(ax):\n",
" \"\"\"\n",
" blank_axes: blank the extraneous spines and tick marks for an axes\n",
"\n",
" Input:\n",
" ax: a matplotlib Axes object\n",
"\n",
" Output: None\n",
" \"\"\"\n",
"\n",
"\n",
" ax.spines['right'].set_visible(False)\n",
" ax.spines['top'].set_visible(False)\n",
" ax.spines['bottom'].set_visible(False)\n",
" ax.spines['left'].set_visible(False)\n",
" ax.yaxis.set_ticks_position('none')\n",
" ax.xaxis.set_ticks_position('none')\n",
" ax.tick_params(labelbottom='off', labeltop='off', labelleft='off', labelright='off' ,\\\n",
" bottom='off', top='off', left='off', right='off' )\n",
"#end blank_axes"
]
},
{
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"source": [
"# Define figure and axes\n",
"fig, ax1 = plt.subplots(figsize=(5, 5),\n",
" subplot_kw=dict(projection=ccrs.PlateCarree()))\n",
"\n",
"# Inset axes showing overall Australia plot\n",
"ax2 = fig.add_axes([0.14, 0.58, 0.20, 0.15], projection=ccrs.PlateCarree())\n",
"\n",
"# Define extents to our axes\n",
"ax1_extent = [146, 154, -35, -30]\n",
"ax2_extent = [110, 157, -42, -7]\n",
"ax1.set_extent(ax1_extent)\n",
"ax2.set_extent(ax2_extent)\n",
"\n",
"# Add gridlines to ax1\n",
"gl = ax1.gridlines(draw_labels=True, linestyle='--', zorder=2, alpha=0.5)\n",
"gl.xlabels_top = gl.ylabels_right = False\n",
"gl.xformatter = LONGITUDE_FORMATTER\n",
"gl.yformatter = LATITUDE_FORMATTER\n",
"\n",
"# Define features we want to plot\n",
"feat_rivers = cartopy.feature.NaturalEarthFeature(\n",
" 'physical',\n",
" 'rivers_lake_centerlines',\n",
" '10m',\n",
" edgecolor=cartopy.feature.COLORS['water'],\n",
" facecolor='none')\n",
"\n",
"feat_oceans = cartopy.feature.NaturalEarthFeature(\n",
" 'physical', 'ocean', '10m', facecolor=cartopy.feature.COLORS['water'])\n",
"\n",
"feat_borders = cartopy.feature.NaturalEarthFeature(\n",
" 'cultural',\n",
" 'admin_1_states_provinces',\n",
" '10m',\n",
" edgecolor='black',\n",
" facecolor=cartopy.feature.COLORS['land'],\n",
" linewidth=0.5)\n",
"\n",
"# Add features to our plots\n",
"ax1.add_feature(feat_rivers)\n",
"ax1.add_feature(feat_oceans)\n",
"ax1.add_feature(feat_borders)\n",
"ax2.add_feature(feat_oceans)\n",
"ax2.add_feature(feat_borders)\n",
"\n",
"# Plot location box on ax2\n",
"ax1_extent_box = sgeom.box(ax1_extent[0], ax1_extent[2], ax1_extent[1],\n",
" ax1_extent[3])\n",
"ax2.add_geometries([ax1_extent_box],\n",
" ccrs.PlateCarree(),\n",
" color='none',\n",
" edgecolor='r',\n",
" linewidth=2)\n",
"\n",
"# Define marker properties\n",
"marker_edge_width = 1.3\n",
"marker_edge_color = '#ffffff'\n",
"wave_buoy_color = 'red'\n",
"wave_buoy_marker = 'o'\n",
"tide_gauge_color = 'blue'\n",
"tide_gauge_marker = 's'\n",
"beach_color = 'green'\n",
"beach_marker = '^'\n",
"\n",
"# Plot beaches\n",
"# df_sites.groupby('beach').mean()[['lat','lon']].to_dict('index')\n",
"beaches = {\n",
" 'AVOCAn': {\n",
" 'lat': -33.460695367777774,\n",
" 'lon': 151.43853769000003\n",
" },\n",
" 'AVOCAs': {\n",
" 'lat': -33.467647595,\n",
" 'lon': 151.43574445875\n",
" },\n",
" 'BILG': {\n",
" 'lat': -33.645234478,\n",
" 'lon': 151.328779182\n",
" },\n",
" 'BLUEYS': {\n",
" 'lat': -32.35377103,\n",
" 'lon': 152.53584677666666\n",
" },\n",
" 'BOAT': {\n",
" 'lat': -32.43502469599999,\n",
" 'lon': 152.530818656\n",
" },\n",
" 'BOOM': {\n",
" 'lat': -32.34039573142857,\n",
" 'lon': 152.54337415\n",
" },\n",
" 'CATHIE': {\n",
" 'lat': -31.57630510275862,\n",
" 'lon': 152.8433463127586\n",
" },\n",
" 'CRESn': {\n",
" 'lat': -31.12568202392001,\n",
" 'lon': 153.00734157120007\n",
" },\n",
" 'CRESs': {\n",
" 'lat': -31.180938470000008,\n",
" 'lon': 152.97574073\n",
" },\n",
" 'DEEWHYn': {\n",
" 'lat': -33.745759471666666,\n",
" 'lon': 151.3055993875\n",
" },\n",
" 'DEEWHYs': {\n",
" 'lat': -33.751954194999996,\n",
" 'lon': 151.29818175499997\n",
" },\n",
" 'DIAMONDn': {\n",
" 'lat': -32.026216662195125,\n",
" 'lon': 152.55036803634147\n",
" },\n",
" 'DIAMONDs': {\n",
" 'lat': -32.046040624285716,\n",
" 'lon': 152.54134085\n",
" },\n",
" 'DUNBn': {\n",
" 'lat': -31.674815349864858,\n",
" 'lon': 152.81198585391894\n",
" },\n",
" 'DUNBs': {\n",
" 'lat': -31.710181410909083,\n",
" 'lon': 152.79323301090912\n",
" },\n",
" 'ELIZA': {\n",
" 'lat': -32.3298006057143,\n",
" 'lon': 152.53714101142856\n",
" },\n",
" 'ENTRA': {\n",
" 'lat': -33.31609181329114,\n",
" 'lon': 151.5278903848101\n",
" },\n",
" 'FOST': {\n",
" 'lat': -32.17670982666667,\n",
" 'lon': 152.51195243333333\n",
" },\n",
" 'GRANTSn': {\n",
" 'lat': -31.613473751666664,\n",
" 'lon': 152.8381070795833\n",
" },\n",
" 'GRANTSs': {\n",
" 'lat': -31.63005646785714,\n",
" 'lon': 152.83392283714286\n",
" },\n",
" 'HARGn': {\n",
" 'lat': -33.25858048428571,\n",
" 'lon': 151.56334493285718\n",
" },\n",
" 'HARGs': {\n",
" 'lat': -33.26487224142857,\n",
" 'lon': 151.5624840085714\n",
" },\n",
" 'HARR': {\n",
" 'lat': -31.859077996607144,\n",
" 'lon': 152.72314068214285\n",
" },\n",
" 'LHOUSE': {\n",
" 'lat': -32.443838815384616,\n",
" 'lon': 152.52969125769232\n",
" },\n",
" 'LHOUSEn': {\n",
" 'lat': -31.506830332043016,\n",
" 'lon': 152.900197138172\n",
" },\n",
" 'LHOUSEs': {\n",
" 'lat': -31.55095255875001,\n",
" 'lon': 152.85847451375002\n",
" },\n",
" 'MACM': {\n",
" 'lat': -33.494884234375,\n",
" 'lon': 151.42840894187498\n",
" },\n",
" 'MANNING': {\n",
" 'lat': -31.922794031338576,\n",
" 'lon': 152.63626414188988\n",
" },\n",
" 'MONA': {\n",
" 'lat': -33.68342594,\n",
" 'lon': 151.31180166238096\n",
" },\n",
" 'NAMB': {\n",
" 'lat': -30.702570222054792,\n",
" 'lon': 152.99174024657532\n",
" },\n",
" 'NARRA': {\n",
" 'lat': -33.71824857833333,\n",
" 'lon': 151.30161430805555\n",
" },\n",
" 'NINEMn': {\n",
" 'lat': -32.098527227407416,\n",
" 'lon': 152.5245430024074\n",
" },\n",
" 'NINEMs': {\n",
" 'lat': -32.146616644,\n",
" 'lon': 152.50721414266667\n",
" },\n",
" 'NSHORE_n': {\n",
" 'lat': -31.35297012609755,\n",
" 'lon': 152.94414099536587\n",
" },\n",
" 'NSHORE_s': {\n",
" 'lat': -31.4042148925,\n",
" 'lon': 152.91674769522717\n",
" },\n",
" 'OLDBAR': {\n",
" 'lat': -31.981825014722215,\n",
" 'lon': 152.58157028555553\n",
" },\n",
" 'ONEMILE': {\n",
" 'lat': -32.19014868,\n",
" 'lon': 152.53698099153846\n",
" },\n",
" 'PEARLn': {\n",
" 'lat': -33.5394179,\n",
" 'lon': 151.310494964\n",
" },\n",
" 'PEARLs': {\n",
" 'lat': -33.543258066,\n",
" 'lon': 151.30794061\n",
" },\n",
" 'SCOT': {\n",
" 'lat': -30.740275808333333,\n",
" 'lon': 152.99018976333335\n",
" },\n",
" 'STOCNn': {\n",
" 'lat': -32.78820750815384,\n",
" 'lon': 152.0395944421538\n",
" },\n",
" 'STOCNs': {\n",
" 'lat': -32.833099094162684,\n",
" 'lon': 151.9039352245933\n",
" },\n",
" 'STOCS': {\n",
" 'lat': -32.8965449047826,\n",
" 'lon': 151.79411199869566\n",
" },\n",
" 'STUART': {\n",
" 'lat': -30.835545341910105,\n",
" 'lon': 153.00643798999994\n",
" },\n",
" 'SWRO': {\n",
" 'lat': -30.885526112307694,\n",
" 'lon': 153.05837861230768\n",
" },\n",
" 'TREACH': {\n",
" 'lat': -32.454167825000006,\n",
" 'lon': 152.508508009375\n",
" },\n",
" 'WAMBE': {\n",
" 'lat': -33.43660858444444,\n",
" 'lon': 151.445516972963\n",
" }\n",
"}\n",
"\n",
"for beach in beaches:\n",
" ax1.plot(beaches[beach]['lon'],\n",
" beaches[beach]['lat'],\n",
" color=beach_color,\n",
" marker=beach_marker,\n",
" markeredgewidth=marker_edge_width-0.5,\n",
" markeredgecolor='#000000',\n",
" transform=ccrs.Geodetic())\n",
"\n",
"\n",
"# Add wave buoys\n",
"wave_buoys = [\n",
" {\n",
" 'name': 'Sydney',\n",
" 'lat': -33.77166667,\n",
" 'lon': 151.40861111\n",
" },\n",
" {\n",
" 'name': 'Crowdy Head',\n",
" 'lat': -31.81388889,\n",
" 'lon': 152.85611111\n",
" },\n",
" {\n",
" 'name': 'Coffs Harbour',\n",
" 'lat': -30.36250000,\n",
" 'lon': 153.26916667\n",
" },\n",
"]\n",
"\n",
"for wave_buoy in wave_buoys:\n",
" ax1.plot(wave_buoy['lon'],\n",
" wave_buoy['lat'],\n",
" color=wave_buoy_color,\n",
" marker=wave_buoy_marker,\n",
" markeredgewidth=marker_edge_width,\n",
" markeredgecolor=marker_edge_color,\n",
" transform=ccrs.Geodetic())\n",
"\n",
"# Add tide gauges\n",
"tide_gauges = [\n",
" {\n",
" 'name': 'HMAS Penguin',\n",
" 'lat': -33.82546,\n",
" 'lon': 151.25853\n",
" },\n",
" {\n",
" 'name': 'Patonga',\n",
" 'lat': -33.55098,\n",
" 'lon': 151.27461\n",
" },\n",
" {\n",
" 'name': 'Shoal Bay',\n",
" 'lat': -32.71967,\n",
" 'lon': 152.17565\n",
" },\n",
" {\n",
" 'name': 'Forster',\n",
" 'lat': -32.17398,\n",
" 'lon': 152.50820\n",
" },\n",
" {\n",
" 'name': 'Crowdy Head',\n",
" 'lat': -31.83870,\n",
" 'lon': 152.75001\n",
" },\n",
" {\n",
" 'name': 'Port Macquarie',\n",
" 'lat': -31.42682,\n",
" 'lon': 152.91112\n",
" },\n",
" {\n",
" 'name': 'Coffs Harbour',\n",
" 'lat': -30.30286,\n",
" 'lon': 153.14614\n",
" },\n",
"]\n",
"\n",
"for tide_gauge in tide_gauges:\n",
" ax1.plot(tide_gauge['lon'],\n",
" tide_gauge['lat'],\n",
" color=tide_gauge_color,\n",
" marker=tide_gauge_marker,\n",
" markeredgewidth=marker_edge_width,\n",
" markeredgecolor=marker_edge_color,\n",
" transform=ccrs.Geodetic())\n",
"\n",
"\n",
"\n",
"# Prepare legend\n",
"legend_buoy = mlines.Line2D([], [],\n",
" color=wave_buoy_color,\n",
" marker=wave_buoy_marker,\n",
" markersize=5,\n",
" linestyle=\"None\",\n",
" markeredgewidth=marker_edge_width,\n",
" markeredgecolor=marker_edge_color,\n",
" label='Wave buoys')\n",
"\n",
"legend_gauge = mlines.Line2D([], [],\n",
" color=tide_gauge_color,\n",
" marker=tide_gauge_marker,\n",
" markersize=5,\n",
" linestyle=\"None\",\n",
" markeredgewidth=marker_edge_width,\n",
" markeredgecolor=marker_edge_color,\n",
" label='Tide gauges')\n",
"\n",
"legend_beaches = mlines.Line2D([], [],\n",
" color=beach_color,\n",
" marker=beach_marker,\n",
" markersize=5,\n",
" linestyle=\"None\",\n",
" markeredgewidth=marker_edge_width-0.5,\n",
" markeredgecolor='#000000',\n",
" label='Beaches included')\n",
"\n",
"handles = [legend_buoy, legend_gauge, legend_beaches]\n",
"names = ['Wave buoys', 'Tide gauges', 'Beaches']\n",
"\n",
"# create legend\n",
"ax1.legend(handles, names, title=r'\\underline{Legend}', loc='lower left')\n",
"\n",
"# Add landmarks\n",
"ax1.text(151.204325-0.1, -33.869810, r'\\textsc{Sydney}', transform=ccrs.Geodetic(),ha='right',zorder=4)\n",
"ax1.text(151.784937-0.1, -32.928103, r'\\textsc{Newcastle}', transform=ccrs.Geodetic(),ha='right',zorder=4)\n",
"ax1.text(152.909329-0.1, -31.440207, r'\\textsc{Port Macquarie}', transform=ccrs.Geodetic(),ha='right',zorder=4)\n",
"ax1.text(153.111704-0.1, -30.300466, r'\\textsc{Coffs Harbour}', transform=ccrs.Geodetic(),ha='right',zorder=4)\n",
"ax1.text(150.891708-0.1, -34.433129, r'\\textsc{Wollongong}', transform=ccrs.Geodetic(),ha='right',zorder=4)\n",
"\n",
"ax2.text(133.729975, -25.173095, r'\\textsc{Australia}', transform=ccrs.Geodetic(),ha='center',zorder=4,va='bottom', fontsize=6, bbox=dict(facecolor=cartopy.feature.COLORS['land'],pad=0.1,linewidth=0, alpha=0.9))\n",
"\n",
"# # Add inset for Narrabeen\n",
"# ax3 = fig.add_axes([0.7, 0.28, 0.2, 0.3], projection=ccrs.PlateCarree())\n",
"# ax3_extent = [151.296915, 151.316252, -33.739274, -33.702466]\n",
"# # ax3_extent = [151.296915, 151.32, -33.739274, -33.68]\n",
"# ax3.set_extent(ax3_extent)\n",
"# # ax3.add_feature(feat_oceans)\n",
"# # ax3.add_feature(feat_borders)\n",
"\n",
"\n",
"fig.savefig('07_c&p_locality.png',dpi=600,bbox_inches = \"tight\", pad_inches=0.01)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Try using overpass api\n",
"# Hard because coastline is given as line string, not shapefile.\n",
"\n",
"import overpass\n",
"api = overpass.API()\n",
"response = api.get('way[\"natural\"=\"coastline\"](-34, 151.0, -33, 152);out geom;')\n",
"coords = [x['geometry']['coordinates'] for x in response['features']]\n",
"\n",
"\n",
"for line in coords:\n",
" lats = [x[1] for x in line]\n",
" lons = [x[0] for x in line]\n",
" ax3.plot(lons,lats, transform=ccrs.Geodetic())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"###"
]
}
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