| [5001] | 1 | # |
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| 2 | # script to determine which communities are located in study region |
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| 3 | # 31 October 2006 |
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| 4 | # |
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| 5 | |
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| 6 | def community_in_extent(filename,extent,zone,fid_out): |
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| 7 | fid = open(filename) |
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| 8 | lines = fid.readlines() |
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| 9 | fid.close() |
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| 10 | |
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| 11 | line1 = lines[0] |
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| 12 | line11 = line1.split(',') |
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| 13 | for i in range(len(line11)): |
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| 14 | if line11[i].strip('\n').strip(' ') == 'LATITUDE': lat_index = i |
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| 15 | if line11[i].strip('\n').strip(' ') == 'LONGITUDE': lon_index = i |
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| 16 | if line11[i].strip('\n').strip(' ') == 'COMMUNITY': name_index = i |
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| 17 | |
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| 18 | from anuga.coordinate_transforms.redfearn import convert_from_latlon_to_utm |
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| 19 | from anuga.utilities.polygon import plot_polygons, is_inside_polygon |
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| 20 | |
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| 21 | for line in lines[1:]: |
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| 22 | fields = line.split(',') |
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| 23 | point, zone1 = convert_from_latlon_to_utm(latitudes=[fields[lat_index]],\ |
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| 24 | longitudes=[fields[lon_index]]) |
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| 25 | if zone1 == zone: |
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| 26 | v = is_inside_polygon(point,extent,verbose=False) |
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| 27 | if v == True: |
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| 28 | p = point[0] |
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| 29 | s = '%s, %.2f, %.2f\n' %(fields[name_index], p[0], p[1]) |
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| 30 | fid_out.write(s) |
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| 31 | return |
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| 32 | |
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| 33 | import project |
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| 34 | |
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| 35 | filename = project.community_filename |
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| 36 | filename_out = project.community_broome |
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| 37 | fid_out = open(filename_out, 'w') |
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| 38 | extent = project.poly_all |
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| 39 | zone = 51 |
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| 40 | |
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| 41 | community_in_extent(filename,extent,zone,fid_out) |
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