1 | """Common filenames and locations for topographic data, meshes and outputs. |
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2 | Also includes origin for slump scenario. |
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3 | """ |
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4 | |
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5 | from os import sep, environ, getenv, getcwd |
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6 | from os.path import expanduser, basename |
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7 | #from anuga.utilities.polygon import read_polygon |
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8 | import sys |
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9 | from anuga.pmesh.create_mesh import convert_from_latlon_to_utm |
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10 | from anuga.coordinate_transforms.redfearn import degminsec2decimal_degrees |
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11 | from time import localtime, strftime |
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12 | from anuga.geospatial_data.geospatial_data import * |
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13 | |
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14 | #Making assumptions about the location of scenario data |
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15 | state = 'western_australia' |
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16 | scenario_dir_name = 'pt_hedland_tsunami_scenario_2006' |
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17 | |
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18 | # onshore data from 30m DTED level 2 |
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19 | onshore_name_dted = 'pt_hedland_onshore_30m_dted' # get from Neil/Ingo (DEM or topo data) |
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20 | onshore_name_dli = 'pt_hedland_onshore_20m_dli' # get from Neil/Ingo (DEM or topo data) |
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21 | |
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22 | # offshore data from GA digitised charts |
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23 | offshore_name1 = 'pt_hedland_offshore_points_orig' |
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24 | |
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25 | # offshore data from AHO fairsheets |
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26 | offshore_name2 = 'pt_hedland_offshore_points_fairsheet_orig' |
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27 | |
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28 | # coastline developed from aerial photography and 1.5m DLI contour |
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29 | #coast_name = 'pt_hedland_coastline_points_dted2_new' |
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30 | coast_name = 'coast_with_extracted_z' |
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31 | |
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32 | |
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33 | boundary_basename = 'SU-AU_clip' |
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34 | |
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35 | #swollen/ all data output |
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36 | basename = 'source' |
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37 | |
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38 | codename = 'project.py' |
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39 | |
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40 | if sys.platform == 'win32': |
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41 | home = getenv('INUNDATIONHOME') #Sandpit's parent dir |
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42 | # python_home = getenv('PWD') |
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43 | user = getenv('USERPROFILE') |
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44 | #print 'USER:', user |
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45 | else: |
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46 | # original |
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47 | #home = getenv('INUNDATIONHOME', sep+'d'+sep+'cit'+sep+'1'+sep+'cit'+sep+'risk_assessment_methods_project'+sep+'inundation') |
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48 | # update to perlite 2 |
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49 | home = getenv('INUNDATIONHOME', sep+'d'+sep+'cit'+sep+'2'+sep+'cit'+sep+'inundation'+sep+'data') |
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50 | user = getenv('LOGNAME') |
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51 | |
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52 | # INUNDATIONHOME is the inundation directory, not the data directory. |
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53 | home += sep +'data' |
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54 | |
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55 | #Derive subdirectories and filenames |
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56 | time = strftime('%Y%m%d_%H%M%S',localtime()) #gets time for new dir |
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57 | outputtimedir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'outputs'+sep+time+sep |
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58 | |
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59 | #print 'outputtimedir', outputtimedir |
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60 | #meshdir = home+sep+scenario_dir_name+sep+'meshes'+sep |
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61 | #datadir = home+sep+scenario_dir_name+sep+'topographies'+sep |
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62 | #gaugedir = home+sep+scenario_dir_name+sep+'gauges'+sep |
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63 | #polygondir = home+sep+scenario_dir_name+sep+'polygons'+sep |
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64 | #boundarydir = home+sep+scenario_dir_name+sep+'boundaries'+sep |
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65 | #outputdir = home+sep+scenario_dir_name+sep+'outputs'+sep |
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66 | #tidedir = home+sep+scenario_dir_name+sep+'tide_data'+sep |
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67 | |
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68 | meshdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'meshes'+sep |
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69 | datadir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'topographies'+sep |
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70 | gaugedir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'gauges'+sep |
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71 | polygondir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'polygons'+sep |
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72 | boundarydir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'boundaries'+sep |
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73 | outputdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'outputs'+sep |
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74 | tidedir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'tide_data'+sep |
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75 | |
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76 | gauge_filename = gaugedir + 'gauge_location_port_hedland.csv' |
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77 | gauge_checking = gaugedir + 'gauge_checking_test.csv' |
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78 | buildings_filename = gaugedir + 'pt_hedland_res.csv' |
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79 | buildings_filename_out = 'pt_hedland_res_modified.csv' |
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80 | buildings_filename_damage_out = 'pt_hedland_res_modified_damage.csv' |
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81 | community_filename = gaugedir + 'CHINS_v2.csv' |
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82 | community_scenario = gaugedir + 'community_pt_hedland.csv' |
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83 | tidal_filename = tidedir + 'pt_hedland_tide.txt' |
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84 | |
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85 | meshname = meshdir + basename |
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86 | #onshore_dem_name = datadir + onshore_name_dted |
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87 | onshore_dem_name = datadir + onshore_name_dli |
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88 | offshore_dem_name1 = datadir + offshore_name1 |
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89 | offshore_dem_name2 = datadir + offshore_name2 |
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90 | coast_dem_name = datadir + coast_name |
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91 | combined_dem_name = datadir + 'pt_hedland_combined_elevation' |
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92 | outputname = outputtimedir + basename #Used by post processing |
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93 | |
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94 | # clipping region to make DEM (pts file) from onshore data |
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95 | eastingmin = 594000 |
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96 | eastingmax = 715000 |
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97 | northingmin = 7720000 |
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98 | northingmax = 7880000 |
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99 | |
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100 | # for ferret2sww |
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101 | south = degminsec2decimal_degrees(-20,30,0) |
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102 | north = degminsec2decimal_degrees(-17,10,0) |
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103 | west = degminsec2decimal_degrees(117,00,0) |
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104 | east = degminsec2decimal_degrees(120,00,0) |
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105 | |
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106 | # region to export (used from export_results.py) |
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107 | e_min_area = 648000 |
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108 | e_max_area = 675000 |
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109 | n_min_area = 7745000 |
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110 | n_max_area = 7761000 |
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111 | |
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112 | export_region = [[e_min_area,n_min_area],[e_min_area,n_max_area],[e_max_area,n_max_area],[e_max_area,n_min_area]] |
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113 | |
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114 | refzone = 50 |
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115 | |
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116 | from anuga.coordinate_transforms.redfearn import redfearn |
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117 | # boundary up to 50 m contour |
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118 | lat1_50 = degminsec2decimal_degrees(-19,20,0) |
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119 | lat2_50 = degminsec2decimal_degrees(-19,30,0) |
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120 | lat3_50 = degminsec2decimal_degrees(-19,45,0) |
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121 | lon1_50 = degminsec2decimal_degrees(119,05,0) |
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122 | lon2_50 = degminsec2decimal_degrees(118,20,0) |
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123 | lon3_50 = degminsec2decimal_degrees(117,45,0) |
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124 | z, easting, northing = redfearn(lat1_50, lon1_50) |
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125 | d0_50 = [easting, northing] |
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126 | z, easting, northing = redfearn(lat2_50, lon2_50) |
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127 | d1_50 = [easting, northing] |
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128 | z, easting, northing= redfearn(lat3_50, lon3_50) |
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129 | d2_50 = [easting, northing] |
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130 | |
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131 | d4_50 = [285000, 7585000] |
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132 | d6_50 = [330000, 7605000] |
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133 | #bounding_poly50 = [p0_50, p1_50, p2_50, d6_50, d5, d4_50] |
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134 | |
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135 | d0 = [763852.0, 7934358.0] |
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136 | d1 = [710987.0, 7925797.0] |
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137 | d2 = [658264.0, 7926314.0] |
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138 | d3 = [552686.0, 7871580.0] |
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139 | #d4 = [604415.81, 7733013.56] |
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140 | d4 = [638000.0, 7733013.56] |
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141 | #d5 = [656561.15, 7732615.11] |
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142 | d5 = [662000.0, 7732615.11] |
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143 | #d6 = [708940.32, 7750510.33] |
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144 | d6 = [690000.0, 7740510.33] |
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145 | #polyAll = [d0, d1, d2, d3, d4, d5, d6] |
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146 | #polyAll = [d0_50, d1_50, d2_50, d4, d5, d6] |
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147 | # from Hamish |
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148 | h0=[629262.17, 7747205.47] |
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149 | h1=[552686.00, 7871579.99] #d3 |
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150 | h2=[658264.00, 7926314.00] #d2 |
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151 | h3=[710986.99, 7925796.99] #d1 |
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152 | h4=[763851.99, 7934357.99] #d0 |
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153 | h5=[701485.21, 7770656.86] |
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154 | h6=[698273.75, 7762227.38] |
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155 | h7=[698194.23, 7762018.65] |
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156 | h8=[691627.41, 7744781.98] |
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157 | h9=[679220.75, 7743604.59] |
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158 | h10=[653512.59, 7740528.56] |
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159 | h11=[634777.71, 7738247.17] |
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160 | h12=[629443.86, 7746910.37] |
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161 | h13=[629396.84, 7746986.75] |
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162 | h14=[629352.32, 7747059.06] |
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163 | h15=[629276.24, 7747182.63] |
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164 | h16=[629262.17, 7747205.47] #repeat of h0 |
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165 | # using Hamish's new bounding polygon |
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166 | #polyAll = [d0_50, d1_50, d2_50, h16,h15,h14,h13,h12,h11,h10,h9,h8,h7,h6,h5] |
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167 | polyAll = [d0_50, d1_50, d2_50, h16,h11,h8,h6, h5] |
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168 | |
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169 | #Interior region - Pt Hedland town |
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170 | i0 = [668000, 7757000] |
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171 | i1 = [659000, 7755000] |
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172 | i2 = [660000, 7749000] |
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173 | i3 = [667000, 7746000] |
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174 | i4 = [678000, 7751000] |
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175 | |
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176 | poly_pt_hedland = [i0, i1, i2, i3, i4] |
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177 | |
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178 | #Are there other significant features? |
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179 | j0 = [670000, 7760000] |
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180 | j1 = [633000, 7745000] |
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181 | j2 = [665000, 7743000] |
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182 | j3 = [690000, 7755000] |
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183 | |
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184 | poly_region = [j0, j1, j2, j3] |
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