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August 22, 2013 21:28
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A basic example of creating a geotrajectory visualization in KML, with a great circle drawn between two points of interest. Requires geodesic.py, a script that provides a function "tweensegs."
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import math | |
def tweensegs(longitude1, latitude1, longitude2, latitude2, num_of_segments): | |
ptlon1 = longitude1 | |
ptlat1 = latitude1 | |
ptlon2 = longitude2 | |
ptlat2 = latitude2 | |
numberofsegments = num_of_segments | |
onelessthansegments = numberofsegments - 1 | |
fractionalincrement = (1.0/onelessthansegments) | |
ptlon1_radians = math.radians(ptlon1) | |
ptlat1_radians = math.radians(ptlat1) | |
ptlon2_radians = math.radians(ptlon2) | |
ptlat2_radians = math.radians(ptlat2) | |
distance_radians=2*math.asin(math.sqrt(math.pow((math.sin((ptlat1_radians-ptlat2_radians)/2)), 2) + math.cos(ptlat1_radians)*math.cos(ptlat2_radians)*math.pow((math.sin((ptlon1_radians-ptlon2_radians)/2)), 2))) | |
# 6371.009 represents the mean radius of the earth | |
# shortest path distance | |
distance_km = 6371.009 * distance_radians | |
mylats = [] | |
mylons = [] | |
# Write the starting coordinates | |
mylats.append([]) | |
mylons.append([]) | |
mylats[0] = ptlat1 | |
mylons[0] = ptlon1 | |
f = fractionalincrement | |
icounter = 1 | |
while (icounter < onelessthansegments): | |
icountmin1 = icounter - 1 | |
mylats.append([]) | |
mylons.append([]) | |
# f is expressed as a fraction along the route from point 1 to point 2 | |
A=math.sin((1-f)*distance_radians)/math.sin(distance_radians) | |
B=math.sin(f*distance_radians)/math.sin(distance_radians) | |
x = A*math.cos(ptlat1_radians)*math.cos(ptlon1_radians) + B*math.cos(ptlat2_radians)*math.cos(ptlon2_radians) | |
y = A*math.cos(ptlat1_radians)*math.sin(ptlon1_radians) + B*math.cos(ptlat2_radians)*math.sin(ptlon2_radians) | |
z = A*math.sin(ptlat1_radians) + B*math.sin(ptlat2_radians) | |
newlat=math.atan2(z, math.sqrt(math.pow(x, 2)+math.pow(y, 2))) | |
newlon=math.atan2(y, x) | |
newlat_degrees = math.degrees(newlat) | |
newlon_degrees = math.degrees(newlon) | |
mylats[icounter] = newlat_degrees | |
mylons[icounter] = newlon_degrees | |
icounter += 1 | |
f = f + fractionalincrement | |
# Write the ending coordinates | |
mylats.append([]) | |
mylons.append([]) | |
mylats[onelessthansegments] = ptlat2 | |
mylons[onelessthansegments] = ptlon2 | |
# Now, the array mylats[] and mylons[] have the coordinate pairs for intermediate points along the geodesic | |
# My mylat[0], mylat[0] and mylat[num_of_segments-1], mylat[num_of_segments-1] are the geodesic end points | |
buff = '' | |
# Write a kml of the results | |
zipcounter = 0 | |
kmlheader = "<?xml version=\"1.0\" encoding=\"UTF-8\"?><kml xmlns=\"http://www.opengis.net/kml/2.2\"><Document><name>LineString.kml</name><open>1</open><Placemark><name>unextruded</name><LineString><extrude>1</extrude><tessellate>1</tessellate><coordinates>" | |
buff += kmlheader | |
while (zipcounter < numberofsegments): | |
outputstuff = repr(mylons[zipcounter]) + "," + repr(mylats[zipcounter]) + ",0 " | |
buff += outputstuff | |
zipcounter += 1 | |
kmlfooter = "</coordinates></LineString></Placemark></Document></kml>" | |
buff += kmlfooter | |
return buff |
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import ogr, pykml | |
from pykml.parser import fromstring as from_kml_string | |
from pykml.factory import KML_ElementMaker as KML | |
from lxml import etree | |
from geodesic import tweensegs | |
# For geodesic.py and the function "tweensegs" see this article: | |
# http://gis.stackexchange.com/questions/47/what-tools-in-python-are-available-for-doing-great-circle-distance-line-creati/316#316 | |
# These coordinates must be strings to keep precision | |
PARIS = ['2.35', '48.86', 'Paris, France'] | |
ROME = ['12.50', '41.90', 'Rome, Italy'] | |
NYC = ['-73.94', '40.66', 'New York City, U.S.A.'] | |
JERUSALEM = ['35.22', '31.78', 'Jerusalem'] | |
PT_A = PARIS | |
PT_B = JERUSALEM | |
pt_a = ogr.CreateGeometryFromWkt('POINT(%s %s)' % tuple(PT_A[0:2])) | |
pt_b = ogr.CreateGeometryFromWkt('POINT(%s %s)' % tuple(PT_B[0:2])) | |
# Buffer the points, an ellipse with radius 0.1 degrees, with 20 points per arc | |
buff_a = pt_a.Buffer(10.0, 20) | |
buff_b = pt_b.Buffer(15.0, 20) | |
features = [ | |
buff_a, | |
buff_b | |
] | |
placemarks = [ | |
KML.Placemark( | |
KML.name(PT_A[2]), | |
KML.Point( | |
KML.coordinates('%s, %s, 0' % tuple(PT_A[0:2])) | |
), | |
KML.Style( | |
KML.IconStyle( | |
KML.Icon( | |
KML.href('http://maps.google.com/mapfiles/kml/paddle/A.png') | |
), | |
KML.scale(4) | |
) | |
) | |
), | |
KML.Placemark( | |
KML.name(PT_B[2]), | |
KML.Point( | |
KML.coordinates('%s, %s, 0' % tuple(PT_B[0:2])) | |
), | |
KML.Style( | |
KML.IconStyle( | |
KML.Icon( | |
KML.href('http://maps.google.com/mapfiles/kml/paddle/B.png') | |
), | |
KML.scale(4) | |
) | |
) | |
), | |
KML.Placemark( | |
KML.Style( | |
KML.LineStyle( | |
KML.color('ffffffff'), | |
KML.width(3) | |
) | |
), | |
KML.LineString( | |
KML.coordinates(str(from_kml_string(tweensegs(float(PT_A[0]), float(PT_A[1]), float(PT_B[0]), float(PT_B[1]), | |
20)).xpath('kml:Document/kml:Placemark/kml:LineString/kml:coordinates', | |
namespaces={'kml': "http://www.opengis.net/kml/2.2"})[0]).strip()) | |
) | |
) | |
] | |
for feature in features: | |
# Parse each feature as a KML string and append the object to a sequence | |
placemarks.append(KML.Placemark( | |
KML.Style( | |
KML.LineStyle( | |
KML.color('ff0000ff'), | |
KML.width(3) | |
), | |
KML.PolyStyle( | |
KML.color('770000ff') | |
) | |
), | |
from_kml_string(feature.ExportToKML()) | |
)) | |
document = KML.Document(*placemarks) | |
with open('GeoTrajectory.kml', 'wb') as kml_doc: | |
kml_doc.write(etree.tostring(document, pretty_print=True)) |
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