New example plot_state_border

Author: Fju

examples/.gitignore

@@ -0,0 +1,2 @@
+plot_state_border/*
+!plot_state_border/main.py

examples/README.md

@@ -17,3 +17,20 @@ Sample output:
 ...
 ```
 
+## Plot state border
+
+File: `plot_state_border/main.py`
+
+This example requests the boundary of a state of Germany called Saxony. The overpass response contains points that will be connected with each other to draw the outer border of the state. The lines are drawn using `matplotlib`.
+Since the response is quite big (~2 MB) the response will be saved in a XML file.
+
+Overpass query:
+```osm
+area[name="Sachsen"][type="boundary"]->.saxony;
+rel(area.saxony)[admin_level=4][type="boundary"][boundary="administrative"];
+out geom;
+```
+
+Output:
+![Border of Saxony (Germany)](plot_state_border/output.png)
+

examples/plot_state_border/main.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python
+
+# Author: Florian Winkler (Fju) 2018
+# This file is part of the overpass-api-python-wrapper project
+# which is licensed under Apache 2.0.
+# See LICENSE.txt for the full license text.
+
+import os
+import xml.etree.ElementTree
+import matplotlib.pyplot as plt
+import numpy as np
+import overpass
+
+MAX_SIZE = 400
+XML_FILE = 'state_border_saxony.xml'
+QUERY = """area[name="Sachsen"][type="boundary"]->.saxony;
+	rel(area.saxony)[admin_level=4][type="boundary"][boundary="administrative"];
+	out geom;"""
+
+# the query is can be quite big (multiple MB) so we save the servers response in a file
+# that can be re-opened the next time
+if not(os.path.isfile(XML_FILE)):
+	# increase timeout because the response can be pretty heavy
+	api = overpass.API(timeout=60)
+
+	response = api.get(QUERY, responseformat="xml")
+
+	# write xml file
+	f = open(XML_FILE, 'w')
+	# encode response in UTF-8 because name translation contain non-ascii characters
+	f.write(response.encode('utf-8'))
+	f.close()
+
+	# free up memory
+	#del response
+
+# open xml file
+root = xml.etree.ElementTree.parse(XML_FILE).getroot()
+
+# bounds element contains information of the width and height
+bounds = root.find('relation').find('bounds')
+min_lat = float(bounds.get('minlat'))
+min_lon = float(bounds.get('minlon'))
+max_lat = float(bounds.get('maxlat'))
+max_lon = float(bounds.get('maxlon'))
+
+# longitude: east - west (x)
+# latitude: north - south (y)
+box_width = max_lon - min_lon
+box_height = max_lat - min_lat
+
+# compute scale factors so that the biggest distance is equal to `MAX_SIZE`
+scale_x = int(MAX_SIZE * box_width / max(box_width, box_height))
+scale_y = int(MAX_SIZE * box_height / max(box_width, box_height))
+
+def outside(x1, y1, x2, y2, tolerance):
+	# check if distance between two points is bigger than the given tolerance
+	# since tolerance is a constant it doesn't have to be squared
+	dx = x1 - x2
+	dy = y1 - y2
+	return (dx*dx + dy*dy) > tolerance
+
+
+point_count = 0
+# look through all `member` nodes
+for member in root.iter('member'):
+	m_type, m_role = member.get('type'), member.get('role')
+
+	# check if the element belongs to the outer border
+	if m_type == 'way' and m_role == 'outer':
+		# `nd` elements contain lon and lat coordinates
+		m_points = member.findall('nd')
+
+		prev_x, prev_y = -1, -1
+
+		index = 0
+		for mp in m_points:
+			x, y = float(mp.get('lon')), float(mp.get('lat'))
+
+			# convert lon and lat coordinates to pixel coordinates
+			x = (x - min_lon) / box_width * scale_x
+			y = (y - min_lat) / box_height * scale_y
+
+			if index == 0:
+				# first point
+				prev_x = x
+				prev_y = y
+			elif outside(x, y, prev_x, prev_y, 1) or index == len(m_points) - 1:
+				# check if points are not too close to each other (too much detail) or if it's the last point of the section
+				# if the last point was ignored, there would be holes
+
+				# draw line from current point to previous point
+				plt.plot([x, prev_x], [y, prev_y], 'k-')
+				point_count += 1
+				# save coordinates
+				prev_x = x
+				prev_y = y
+
+			index += 1
+
+print(point_count)
+# show plot
+plt.show()