#!/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")