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map_data.py 4,2 ko
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  • #!/usr/bin/env python3
    #  -*- coding: utf-8 -*-
    
    """
    Read files and defines functions to plot maps of Qatar
    
    Author: Thomas Dobbelaere, Earth and Life Institute, UCLouvain, Belgium
    Last modified: 19 July 2022
    """
    from osgeo import osr,ogr
    import numpy as np
    import shapely.geometry
    from matplotlib.patches import Polygon
    from matplotlib.collections import LineCollection, PatchCollection
    from typing import List, Union
    
    def read_shp(shpfile: str) -> Union[List[np.ndarray], List[Polygon]]:
        driver = ogr.GetDriverByName('ESRI Shapefile')
        ds = driver.Open(shpfile,0)
        lyr = ds.GetLayer(0)
        val = []
        for f in lyr:
            geom = f.geometry()
            geometry_name = geom.GetGeometryName()
            if geometry_name in ['MULTIPOLYGON', 'MULTILINESTRING']:
                geos = geom  
            elif geometry_name in ['POLYGON', 'LINESTRING']:
                geos = [geom]
            else:
                raise ValueError(f"Unknown geometry type '{geometry_name}'")
            for geo in geos:
                if geo.GetGeometryName() == 'POLYGON':
                    ring = geo.GetGeometryRef(0)
                    pnts = np.array(ring.GetPoints())
                    val.append(Polygon(pnts))
                elif geo.GetGeometryName() == 'LINESTRING':
                    val.append(np.array(geo.GetPoints()))
        ds = None
        return val
    
    utm_proj = osr.SpatialReference()
    utm_proj.ImportFromProj4('+proj=utm +ellps=WGS84 +zone=39 +north')
    lonlat_proj = osr.SpatialReference()
    lonlat_proj.ImportFromProj4("+ellps=WGS84 +proj=lonlat")
    to_utm = osr.CoordinateTransformation(lonlat_proj, utm_proj)
    to_lonlat = osr.CoordinateTransformation(utm_proj, lonlat_proj)
    
    # shape files
    basedir = "/export/miro/students/tanselain/OpenOil"
    path_to_shp = basedir+"/Indicators/Background_map"
    land = read_shp(path_to_shp +"/PG_layer_poly_new/PG_layer_poly_new.shp")
    borders = read_shp(path_to_shp+"/natural_earth/ne_10m_admin_0_boundary_lines_land.shp")
    eez = read_shp(path_to_shp+"/qatar_eez/qatar_eez_line.shp")
    
    def plot_landmark(ax, sources):
        # Put land, border and eez in background
        ax.add_collection(
            PatchCollection(land, linewidths=0.5, edgecolors='k', facecolors='lightgray')
        )
        ax.add_collection(LineCollection(borders, linewidth=0.5, linestyle='-', color='k'))
        ax.add_collection(LineCollection(eez, linewidth=2, color='darkgreen'))
    
        if "abu_fontas" in sources:
            ax.scatter(51.6269, 25.2061, s=50, c='#1f77b4')
            ax.text( 51.385, 25.2, "Abu Fontas", color='k', fontsize=12, \
                        fontweight='bold', ha='center', va='center')
        if "umm_al_houl" in sources:
            ax.scatter(51.633, 25.1135, s=50, c='#1f77b4')
            ax.text( 51.355, 25.1135, "Umm al Houl", color='k', fontsize=12, \
                        fontweight='bold', ha='center', va='center')
        if "ras_laffan" in sources:
            ax.scatter(51.5422, 25.9324, s=50, c='#1f77b4')
            ax.text(51.355, 25.89, "Ras Laffan", color='k', fontsize=12, \
                     fontweight='bold', ha='center', va='center')
        if "lusail" in sources:
            ax.scatter( 51.545, 25.31, s=50, c='#1f77b4' ,zorder=5)
            ax.text( 51.5, 25.29, 'Doha', color='k', fontsize=12, 
                        fontweight='bold', ha='right', va='center')
        
    
        ## SCALE ##
        """pstart = (50.15, 27.35, 0)
        length = 30*1000
        lw = 2
        h = 0.01
        Xstart, Ystart, _ = to_utm.TransformPoint(*pstart)
        pend =  to_lonlat.TransformPoint(Xstart+length, Ystart,0)
        ax.text(0.5*(pstart[0]+pend[0]), pend[1]+2*h, "30 km",\
                     va="bottom", ha="center", fontsize=12)
        ax.plot([pstart[0], pend[0]], [pstart[1],pend[1]], color="k", linewidth=lw)
        ax.plot([pstart[0], pstart[0]], [pstart[1]-h, pstart[1]+h], color="k", linewidth=lw)
        ax.plot([pend[0], pend[0]], [pend[1]-h, pend[1]+h], color="k", linewidth=lw)
        """
        # TICKS
        ax.set_xlim(50, 53.2)
        ax.set_ylim(24, 27.2)
        yticks = np.arange(24, 28, .5)
        ax.set_yticks(yticks)
        ax.set_yticklabels([f"{y}°N" for y in yticks])
        ax.tick_params(labelleft=True, labelbottom = True) 
        xticks = np.arange(50,53.5,0.5)
        ax.set_xticks(xticks)
        ax.set_xticklabels([f"{x}°E" for x in xticks])
        
        ax.set_aspect("equal")