def vincinvio():
# Enter Filename
print('Enter co-ordinate file:')
fn = input()
# Open Filename
csvfile = open(fn)
csvreader = csv.reader(csvfile)
# Create Output File
fn_part = (os.path.splitext(fn))
fn_out = fn_part[0] + '_out' + fn_part[1]
outfile = open(fn_out, 'w')
# Write Output
outfilewriter = csv.writer(outfile)
outfilewriter.writerow(['Ell_Dist', 'Azimuth1to2', 'Azimuth2to1'])
for row in csvreader:
lat1 = dms2dd(float(row[0]))
long1 = dms2dd(float(row[1]))
lat2 = dms2dd(float(row[2]))
long2 = dms2dd(float(row[3]))
ell_dist, azimuth1to2, azimuth2to1 = vincinv(lat1, long1, lat2, long2)
azimuth1to2 = dd2dms(azimuth1to2)
azimuth2to1 = dd2dms(azimuth2to1)
output = (ell_dist, azimuth1to2, azimuth2to1)
outfilewriter.writerow(output)
# Close Files
outfile.close()
csvfile.close()
def conform7(x, y, z, trans):
"""
Performs a Helmert 7 Parameter Conformal Transformation using Cartesian point co-ordinates
and a predefined transformation object.
:param x: Cartesian X (m)
:param y: Cartesian Y (m)
:param z: Cartesian Z (m)
:param trans: Transformation Object
:return: Transformed X, Y, Z Cartesian Co-ordinates
"""
if type(trans) != Transformation:
raise ValueError('trans must be a Transformation Object')
# Create XYZ Vector
xyz_before = np.array([[x], [y], [z]])
# Convert Units for Transformation Parameters
scale = trans.sc / 1000000
rx = radians(dms2dd(trans.rx / 10000))
ry = radians(dms2dd(trans.ry / 10000))
rz = radians(dms2dd(trans.rz / 10000))
# Create Translation Vector
translation = np.array([[trans.tx], [trans.ty], [trans.tz]])
# Create Rotation Matrix
rotation = np.array([[1., rz, -ry], [-rz, 1., rx], [ry, -rx, 1.]])
# Conformal Transform Eq
xyz_after = translation + (1 + scale) * np.dot(rotation, xyz_before)
# Convert Vector to Separate Variables
xtrans = float(xyz_after[0])
ytrans = float(xyz_after[1])
ztrans = float(xyz_after[2])
return xtrans, ytrans, ztrans
def test_vincinv(self):
# Flinders Peak
lat1 = dms2dd(-37.57037203)
long1 = dms2dd(144.25295244)
# Buninyong
lat2 = dms2dd(-37.39101561)
long2 = dms2dd(143.55353839)
ell_dist, azimuth1to2, azimuth2to1 = vincinv(lat1, long1, lat2, long2)
self.assertEqual(round(ell_dist, 3), 54972.271)
self.assertEqual(round(dd2dms(azimuth1to2), 6), 306.520537)
self.assertEqual(round(dd2dms(azimuth2to1), 6), 127.102507)
def test_vincdir(self):
# Flinders Peak
lat1 = dms2dd(-37.57037203)
long1 = dms2dd(144.25295244)
# To Buninyong
azimuth1to2 = dms2dd(306.520537)
ell_dist = 54972.271
lat2, long2, azimuth2to1 = vincdir(lat1, long1, azimuth1to2, ell_dist)
self.assertEqual(round(dd2dms(lat2), 8), -37.39101561)
self.assertEqual(round(dd2dms(long2), 8), 143.55353839)
self.assertEqual(round(dd2dms(azimuth2to1), 6), 127.102507)
def va_conv(verta_hp, slope_dist, height_inst=0, height_tgt=0):
"""
Function to convert vertical angles (zenith distances) and slope distances
into horizontal distances and changes in height. Instrument and Target
heights can be entered to allow computation of zenith and slope distances
between ground points.
:param verta_hp: Vertical Angle from Instrument to Target, expressed
in HP Format (DDD.MMSSSSSS)
:param slope_dist: Slope Distance from Instrument to Target in metres
:param height_inst: Height of Instrument. Optional - Default Value of 0m
:param height_tgt: Height of Target. Optional - Default Value of 0m
:return: verta_pt_hp: Vertical Angle between Ground Points, expressed
in HP Format (DDD.MMSSSSSS)
:return: slope_dist_pt: Slope Distance between Ground Points in metres
:return: hz_dist: Horizontal Distance
:return: delta_ht: Change in height between Ground Points in metres
"""
# Convert Zenith Angle to Vertical Angle
try:
if verta_hp == 0 or verta_hp == 180:
raise ValueError
elif 0 < verta_hp < 180:
verta = radians(90 - dms2dd(verta_hp))
elif 180 < verta_hp < 360:
verta = radians(270 - dms2dd(verta_hp))
else:
raise ValueError
except ValueError:
print('ValueError: Vertical Angle Invalid')
return
# Calculate Horizontal Dist and Delta Height
hz_dist = slope_dist * cos(verta)
delta_ht = slope_dist * sin(verta)
# Account for Target and Instrument Heights
if height_inst == 0 and height_tgt == 0:
verta_pt_hp = verta_hp
slope_dist_pt = slope_dist
else:
delta_ht = height_inst + delta_ht - height_tgt
slope_dist_pt = sqrt(delta_ht**2 + hz_dist**2)
verta_pt = asin(delta_ht / slope_dist)
verta_pt_hp = dd2dms(degrees(verta_pt) + 90)
return verta_pt_hp, slope_dist_pt, hz_dist, delta_ht
def vincdirio():
"""
No Input:
Prompts the user for the name of a file in csv format. Data in the file
must be in the form Latitude, Longitude of Point 1 in Degrees Minutes
Seconds, Geodetic Azimuth from Point 1 to 2 in Degrees Minutes Seconds and
Distance in metres with no header line.
No Output:
Uses the function vincdir to calculate for each row in the csv file the
geographic coordinate (lat, long) of Point 2 and the Azimuth from Point 2
to Point 1, all in Degrees Minutes Seconds. This data is written to a new
file with the name <inputfile>_out.csv
"""
# Enter Filename
fn = input('Enter co-ordinate file:\n')
# Open Filename
csvfile = open(fn)
csvreader = csv.reader(csvfile)
# Create Output File
fn_part = (os.path.splitext(fn))
fn_out = fn_part[0] + '_out' + fn_part[1]
outfile = open(fn_out, 'w')
# Write Output
outfilewriter = csv.writer(outfile)
# outfilewriter.writerow(['Latitude2', 'Longitude2', 'azimuth2to1'])
for row in csvreader:
lat1 = dms2dd(float(row[0]))
long1 = dms2dd(float(row[1]))
azimuth1to2 = dms2dd(float(row[2]))
ell_dist = float(row[3])
lat2, long2, azimuth2to1 = vincdir(lat1, long1, azimuth1to2, ell_dist)
lat2 = dd2dms(lat2)
long2 = dd2dms(long2)
azimuth2to1 = dd2dms(azimuth2to1)
output = [lat2, long2, azimuth2to1]
outfilewriter.writerow(output)
# Close Files
outfile.close()
csvfile.close()
def geo2gridio():
"""
No Input:
Prompts the user for the name of a file in csv format. Data in the file
must be in the form Point ID, Latitude, Longitude in Decimal Degrees with
no header line.
No Output:
Uses the function geo2grid to convert each row in the csv file into a
coordinate with UTM Zone, Easting (m), Northing (m). This data is written
to a new file with the name <inputfile>_out.csv
"""
# Enter Filename
print('Enter co-ordinate file:')
fn = input()
# Open Filename
csvfile = open(fn)
csvreader = csv.reader(csvfile)
# Create Output File
fn_part = (os.path.splitext(fn))
fn_out = fn_part[0] + '_out' + fn_part[1]
outfile = open(fn_out, 'w')
# Write Output
outfilewriter = csv.writer(outfile)
# Optional Header Row
# outfilewriter.writerow(['Pt', 'Zone', 'Easting', 'Northing', 'Point Scale Factor', 'Grid Convergence'])
for row in csvreader:
pt_num = row[0]
lat = dms2dd(float(row[1]))
long = dms2dd(float(row[2]))
# Calculate Conversion
hemisphere, zone, east, north, psf, grid_conv = geo2grid(lat, long)
grid_conv = dms2dd(grid_conv)
output = [pt_num] + [hemisphere, zone, east, north, psf, grid_conv]
outfilewriter.writerow(output)
# Close Files
outfile.close()
csvfile.close()
def test_dms2dd(self):
self.assertAlmostEqual(dec_ex, dms2dd(hp_ex), 9)
self.assertAlmostEqual(-dec_ex, dms2dd(-hp_ex), 9)
#!/usr/bin/env python3
"""
Geoscience Australia - Python Geodesy Package
Geoid Module
In Development
"""
import numpy as np
from scipy import interpolate
from geodepy.convert import dms2dd
# Define test grid points
nvals = np.array([(dms2dd(-31.51), dms2dd(133.48), -8.806),
(dms2dd(-31.51), dms2dd(133.49), -8.743),
(dms2dd(-31.52), dms2dd(133.48), -8.870),
(dms2dd(-31.52), dms2dd(133.49), -8.805)])
lat = dms2dd(-31.515996736)
long = dms2dd(133.483540489)
# Write Output
with open(fn_out, 'w', newline='') as outfile:
outfilewriter = csv.writer(outfile)
#Header row will be written if 1 is passed to the headerout input variable
if headerout == 1:
outfilewriter.writerow(['Pt', 'Hemisphere', 'Zone', 'Easting', 'Northing', 'Point Scale Factor', 'Grid Convergence'])
# Selects converstion to DD if required
for row in csvreader:
pt_num = row[0]
if geotypein.get() == 'DD':
lat = (float(row[1]))
long = (float(row[2]))
elif geotypein.get() == 'DMS':
lat = dms2dd(float(row[1]))
long = dms2dd(float(row[2]))
elif geotypein.get() == 'HP':
lat = hp2dec(float(row[1]))
long = hp2dec(float(row[2]))
# Calculate Conversion
hemisphere, zone, east, north, psf, grid_conv = geo2grid(lat, long)
grid_conv = dms2dd(grid_conv)
output = [pt_num] + [hemisphere, zone, east, north, psf, grid_conv]
outfilewriter.writerow(output)
=======
# Enter Filename
print('Enter co-ordinate file:')
fn = input()
# Open Filename
