# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
from __future__ import absolute_import, print_function
import math
import random
import logging
try:
from StringIO import StringIO as BytesIO
except ImportError:
from io import BytesIO
import numpy as num
from pyrocko.guts import (Object, Float, Bool, Int, Tuple, String, List,
Unicode, Dict)
from pyrocko.guts_array import Array
from pyrocko.dataset import topo
from pyrocko import orthodrome as od
from . import gmtpy
try:
newstr = unicode
except NameError:
newstr = str
points_in_region = od.points_in_region
logger = logging.getLogger('pyrocko.plot.automap')
earthradius = 6371000.0
r2d = 180./math.pi
d2r = 1./r2d
km = 1000.
d2m = d2r*earthradius
m2d = 1./d2m
cm = gmtpy.cm
def darken(c, f=0.7):
return (c[0]*f, c[1]*f, c[2]*f)
def corners(lon, lat, w, h):
ll_lat, ll_lon = od.ne_to_latlon(lat, lon, -0.5*h, -0.5*w)
ur_lat, ur_lon = od.ne_to_latlon(lat, lon, 0.5*h, 0.5*w)
return ll_lon, ll_lat, ur_lon, ur_lat
def extent(lon, lat, w, h, n):
x = num.linspace(-0.5*w, 0.5*w, n)
y = num.linspace(-0.5*h, 0.5*h, n)
slats, slons = od.ne_to_latlon(lat, lon, y[0], x)
nlats, nlons = od.ne_to_latlon(lat, lon, y[-1], x)
south = slats.min()
north = nlats.max()
wlats, wlons = od.ne_to_latlon(lat, lon, y, x[0])
elats, elons = od.ne_to_latlon(lat, lon, y, x[-1])
elons = num.where(elons < wlons, elons + 360., elons)
if elons.max() - elons.min() > 180 or wlons.max() - wlons.min() > 180.:
west = -180.
east = 180.
else:
west = wlons.min()
east = elons.max()
return topo.positive_region((west, east, south, north))
class NoTopo(Exception):
pass
class OutOfBounds(Exception):
pass
class FloatTile(Object):
xmin = Float.T()
ymin = Float.T()
dx = Float.T()
dy = Float.T()
data = Array.T(shape=(None, None), dtype=float, serialize_as='table')
def __init__(self, xmin, ymin, dx, dy, data):
Object.__init__(self, init_props=False)
self.xmin = float(xmin)
self.ymin = float(ymin)
self.dx = float(dx)
self.dy = float(dy)
self.data = data
self._set_maxes()
def _set_maxes(self):
self.ny, self.nx = self.data.shape
self.xmax = self.xmin + (self.nx-1) * self.dx
self.ymax = self.ymin + (self.ny-1) * self.dy
def x(self):
return self.xmin + num.arange(self.nx) * self.dx
def y(self):
return self.ymin + num.arange(self.ny) * self.dy
def get(self, x, y):
ix = int(round((x - self.xmin) / self.dx))
iy = int(round((y - self.ymin) / self.dy))
if 0 <= ix < self.nx and 0 <= iy < self.ny:
return self.data[iy, ix]
else:
raise OutOfBounds()
class City(Object):
def __init__(self, name, lat, lon, population=None, asciiname=None):
name = newstr(name)
lat = float(lat)
lon = float(lon)
if asciiname is None:
asciiname = name.encode('ascii', errors='replace')
if population is None:
population = 0
else:
population = int(population)
Object.__init__(self, name=name, lat=lat, lon=lon,
population=population, asciiname=asciiname)
name = Unicode.T()
lat = Float.T()
lon = Float.T()
population = Int.T()
asciiname = String.T()
[docs]class Map(Object):
lat = Float.T(optional=True)
lon = Float.T(optional=True)
radius = Float.T(optional=True)
width = Float.T(default=20.)
height = Float.T(default=14.)
margins = List.T(Float.T())
illuminate = Bool.T(default=True)
skip_feature_factor = Float.T(default=0.02)
show_grid = Bool.T(default=False)
show_topo = Bool.T(default=True)
show_scale = Bool.T(default=False)
show_topo_scale = Bool.T(default=False)
show_center_mark = Bool.T(default=False)
show_rivers = Bool.T(default=True)
show_plates = Bool.T(default=False)
show_plate_velocities = Bool.T(default=False)
show_plate_names = Bool.T(default=False)
show_boundaries = Bool.T(default=False)
illuminate_factor_land = Float.T(default=0.5)
illuminate_factor_ocean = Float.T(default=0.25)
color_wet = Tuple.T(3, Int.T(), default=(216, 242, 254))
color_dry = Tuple.T(3, Int.T(), default=(172, 208, 165))
color_boundaries = Tuple.T(3, Int.T(), default=(1, 1, 1))
topo_resolution_min = Float.T(
default=40.,
help='minimum resolution of topography [dpi]')
topo_resolution_max = Float.T(
default=200.,
help='maximum resolution of topography [dpi]')
replace_topo_color_only = FloatTile.T(
optional=True,
help='replace topo color while keeping topographic shading')
topo_cpt_wet = String.T(default='light_sea')
topo_cpt_dry = String.T(default='light_land')
axes_layout = String.T(optional=True)
custom_cities = List.T(City.T())
gmt_config = Dict.T(String.T(), String.T())
comment = String.T(optional=True)
approx_ticks = Int.T(default=4)
def __init__(self, gmtversion='newest', **kwargs):
Object.__init__(self, **kwargs)
self._gmt = None
self._scaler = None
self._widget = None
self._corners = None
self._wesn = None
self._minarea = None
self._coastline_resolution = None
self._rivers = None
self._dems = None
self._have_topo_land = None
self._have_topo_ocean = None
self._jxyr = None
self._prep_topo_have = None
self._labels = []
self._area_labels = []
self._gmtversion = gmtversion
[docs] def save(self, outpath, resolution=75., oversample=2., size=None,
width=None, height=None, psconvert=False, crop_eps_mode=False):
'''
Save the image.
Save the image to ``outpath``. The format is determined by the filename
extension. Formats are handled as follows: ``'.eps'`` and ``'.ps'``
produce EPS and PS, respectively, directly with GMT. If the file name
ends with ``'.pdf'``, GMT output is fed through ``gmtpy-epstopdf`` to
create a PDF file. For any other filename extension, output is first
converted to PDF with ``gmtpy-epstopdf``, then with ``pdftocairo`` to
PNG with a resolution oversampled by the factor ``oversample`` and
finally the PNG is downsampled and converted to the target format with
``convert``. The resolution of rasterized target image can be
controlled either by ``resolution`` in DPI or by specifying ``width``
or ``height`` or ``size``, where the latter fits the image into a
square with given side length. To save transparency use
``psconvert=True``. To crop the output image with a rectangle to the
nearest non-white element set ``crop_eps_mode=True``.
'''
gmt = self.gmt
self.draw_labels()
self.draw_axes()
if self.show_topo and self.show_topo_scale:
self._draw_topo_scale()
gmt.save(outpath, resolution=resolution, oversample=oversample,
crop_eps_mode=crop_eps_mode,
size=size, width=width, height=height, psconvert=psconvert)
@property
def scaler(self):
if self._scaler is None:
self._setup_geometry()
return self._scaler
@property
def wesn(self):
if self._wesn is None:
self._setup_geometry()
return self._wesn
@property
def widget(self):
if self._widget is None:
self._setup()
return self._widget
@property
def layout(self):
if self._layout is None:
self._setup()
return self._layout
@property
def jxyr(self):
if self._jxyr is None:
self._setup()
return self._jxyr
@property
def pxyr(self):
if self._pxyr is None:
self._setup()
return self._pxyr
@property
def gmt(self):
if self._gmt is None:
self._setup()
if self._have_topo_ocean is None:
self._draw_background()
return self._gmt
def _setup(self):
if not self._widget:
self._setup_geometry()
self._setup_lod()
self._setup_gmt()
def _setup_geometry(self):
wpage, hpage = self.width, self.height
ml, mr, mt, mb = self._expand_margins()
wpage -= ml + mr
hpage -= mt + mb
wreg = self.radius * 2.0
hreg = self.radius * 2.0
if wpage >= hpage:
wreg *= wpage/hpage
else:
hreg *= hpage/wpage
self._wreg = wreg
self._hreg = hreg
self._corners = corners(self.lon, self.lat, wreg, hreg)
west, east, south, north = extent(self.lon, self.lat, wreg, hreg, 10)
x, y, z = ((west, east), (south, north), (-6000., 4500.))
xax = gmtpy.Ax(mode='min-max', approx_ticks=self.approx_ticks)
yax = gmtpy.Ax(mode='min-max', approx_ticks=self.approx_ticks)
zax = gmtpy.Ax(mode='min-max', inc=1000., label='Height',
scaled_unit='km', scaled_unit_factor=0.001)
scaler = gmtpy.ScaleGuru(data_tuples=[(x, y, z)], axes=(xax, yax, zax))
par = scaler.get_params()
west = par['xmin']
east = par['xmax']
south = par['ymin']
north = par['ymax']
self._wesn = west, east, south, north
self._scaler = scaler
def _setup_lod(self):
w, e, s, n = self._wesn
if self.radius > 1500.*km:
coastline_resolution = 'i'
rivers = False
else:
coastline_resolution = 'f'
rivers = True
self._minarea = (self.skip_feature_factor * self.radius/km)**2
self._coastline_resolution = coastline_resolution
self._rivers = rivers
self._prep_topo_have = {}
self._dems = {}
cm2inch = gmtpy.cm/gmtpy.inch
dmin = 2.0 * self.radius * m2d / (self.topo_resolution_max *
(self.height * cm2inch))
dmax = 2.0 * self.radius * m2d / (self.topo_resolution_min *
(self.height * cm2inch))
for k in ['ocean', 'land']:
self._dems[k] = topo.select_dem_names(k, dmin, dmax, self._wesn)
if self._dems[k]:
logger.debug('using topography dataset %s for %s'
% (','.join(self._dems[k]), k))
def _expand_margins(self):
if len(self.margins) == 0 or len(self.margins) > 4:
ml = mr = mt = mb = 2.0
elif len(self.margins) == 1:
ml = mr = mt = mb = self.margins[0]
elif len(self.margins) == 2:
ml = mr = self.margins[0]
mt = mb = self.margins[1]
elif len(self.margins) == 4:
ml, mr, mt, mb = self.margins
return ml, mr, mt, mb
def _setup_gmt(self):
w, h = self.width, self.height
scaler = self._scaler
if gmtpy.is_gmt5(self._gmtversion):
gmtconf = dict(
MAP_TICK_PEN_PRIMARY='1.25p',
MAP_TICK_PEN_SECONDARY='1.25p',
MAP_TICK_LENGTH_PRIMARY='0.2c',
MAP_TICK_LENGTH_SECONDARY='0.6c',
FONT_ANNOT_PRIMARY='12p,1,black',
FONT_LABEL='12p,1,black',
PS_CHAR_ENCODING='ISOLatin1+',
MAP_FRAME_TYPE='fancy',
FORMAT_GEO_MAP='D',
PS_MEDIA='Custom_%ix%i' % (
w*gmtpy.cm,
h*gmtpy.cm),
PS_PAGE_ORIENTATION='portrait',
MAP_GRID_PEN_PRIMARY='thinnest,0/50/0',
MAP_ANNOT_OBLIQUE='6')
else:
gmtconf = dict(
TICK_PEN='1.25p',
TICK_LENGTH='0.2c',
ANNOT_FONT_PRIMARY='1',
ANNOT_FONT_SIZE_PRIMARY='12p',
LABEL_FONT='1',
LABEL_FONT_SIZE='12p',
CHAR_ENCODING='ISOLatin1+',
BASEMAP_TYPE='fancy',
PLOT_DEGREE_FORMAT='D',
PAPER_MEDIA='Custom_%ix%i' % (
w*gmtpy.cm,
h*gmtpy.cm),
GRID_PEN_PRIMARY='thinnest/0/50/0',
DOTS_PR_INCH='1200',
OBLIQUE_ANNOTATION='6')
gmtconf.update(
(k.upper(), v) for (k, v) in self.gmt_config.items())
gmt = gmtpy.GMT(config=gmtconf, version=self._gmtversion)
layout = gmt.default_layout()
layout.set_fixed_margins(*[x*cm for x in self._expand_margins()])
widget = layout.get_widget()
widget['P'] = widget['J']
widget['J'] = ('-JA%g/%g' % (self.lon, self.lat)) + '/%(width)gp'
scaler['R'] = '-R%g/%g/%g/%gr' % self._corners
# aspect = gmtpy.aspect_for_projection(
# gmt.installation['version'], *(widget.J() + scaler.R()))
aspect = self._map_aspect(jr=widget.J() + scaler.R())
widget.set_aspect(aspect)
self._gmt = gmt
self._layout = layout
self._widget = widget
self._jxyr = self._widget.JXY() + self._scaler.R()
self._pxyr = self._widget.PXY() + [
'-R%g/%g/%g/%g' % (0, widget.width(), 0, widget.height())]
self._have_drawn_axes = False
self._have_drawn_labels = False
def _draw_background(self):
self._have_topo_land = False
self._have_topo_ocean = False
if self.show_topo:
self._have_topo = self._draw_topo()
self._draw_basefeatures()
def _get_topo_tile(self, k):
t = None
demname = None
for dem in self._dems[k]:
t = topo.get(dem, self._wesn)
demname = dem
if t is not None:
break
if not t:
raise NoTopo()
return t, demname
def _prep_topo(self, k):
gmt = self._gmt
t, demname = self._get_topo_tile(k)
if demname not in self._prep_topo_have:
grdfile = gmt.tempfilename()
is_flat = num.all(t.data[0] == t.data)
gmtpy.savegrd(
t.x(), t.y(), t.data, filename=grdfile, naming='lonlat')
if self.illuminate and not is_flat:
if k == 'ocean':
factor = self.illuminate_factor_ocean
else:
factor = self.illuminate_factor_land
ilumfn = gmt.tempfilename()
gmt.grdgradient(
grdfile,
N='e%g' % factor,
A=-45,
G=ilumfn,
out_discard=True)
ilumargs = ['-I%s' % ilumfn]
else:
ilumargs = []
if self.replace_topo_color_only:
t2 = self.replace_topo_color_only
grdfile2 = gmt.tempfilename()
gmtpy.savegrd(
t2.x(), t2.y(), t2.data, filename=grdfile2,
naming='lonlat')
if gmt.is_gmt5():
gmt.grdsample(
grdfile2,
G=grdfile,
n='l',
I='%g/%g' % (t.dx, t.dy), # noqa
R=grdfile,
out_discard=True)
else:
gmt.grdsample(
grdfile2,
G=grdfile,
Q='l',
I='%g/%g' % (t.dx, t.dy), # noqa
R=grdfile,
out_discard=True)
gmt.grdmath(
grdfile, '0.0', 'AND', '=', grdfile2,
out_discard=True)
grdfile = grdfile2
self._prep_topo_have[demname] = grdfile, ilumargs
return self._prep_topo_have[demname]
def _draw_topo(self):
widget = self._widget
scaler = self._scaler
gmt = self._gmt
cres = self._coastline_resolution
minarea = self._minarea
JXY = widget.JXY()
R = scaler.R()
try:
grdfile, ilumargs = self._prep_topo('ocean')
gmt.pscoast(D=cres, S='c', A=minarea, *(JXY+R))
gmt.grdimage(grdfile, C=topo.cpt(self.topo_cpt_wet),
*(ilumargs+JXY+R))
gmt.pscoast(Q=True, *(JXY+R))
self._have_topo_ocean = True
except NoTopo:
self._have_topo_ocean = False
try:
grdfile, ilumargs = self._prep_topo('land')
gmt.pscoast(D=cres, G='c', A=minarea, *(JXY+R))
gmt.grdimage(grdfile, C=topo.cpt(self.topo_cpt_dry),
*(ilumargs+JXY+R))
gmt.pscoast(Q=True, *(JXY+R))
self._have_topo_land = True
except NoTopo:
self._have_topo_land = False
def _draw_topo_scale(self, label='Elevation [km]'):
dry = read_cpt(topo.cpt(self.topo_cpt_dry))
wet = read_cpt(topo.cpt(self.topo_cpt_wet))
combi = cpt_merge_wet_dry(wet, dry)
for level in combi.levels:
level.vmin /= km
level.vmax /= km
topo_cpt = self.gmt.tempfilename() + '.cpt'
write_cpt(combi, topo_cpt)
(w, h), (xo, yo) = self.widget.get_size()
self.gmt.psscale(
D='%gp/%gp/%gp/%gph' % (xo + 0.5*w, yo - 2.0*gmtpy.cm, w,
0.5*gmtpy.cm),
C=topo_cpt,
B='1:%s:' % label)
def _draw_basefeatures(self):
gmt = self._gmt
cres = self._coastline_resolution
rivers = self._rivers
minarea = self._minarea
color_wet = self.color_wet
color_dry = self.color_dry
if self.show_rivers and rivers:
rivers = ['-Ir/0.25p,%s' % gmtpy.color(self.color_wet)]
else:
rivers = []
fill = {}
if not self._have_topo_land:
fill['G'] = color_dry
if not self._have_topo_ocean:
fill['S'] = color_wet
if self.show_boundaries:
fill['N'] = '1/1p,%s,%s' % (
gmtpy.color(self.color_boundaries), 'solid')
gmt.pscoast(
D=cres,
W='thinnest,%s' % gmtpy.color(darken(gmtpy.color_tup(color_dry))),
A=minarea,
*(rivers+self._jxyr), **fill)
if self.show_plates:
self.draw_plates()
def _draw_axes(self):
gmt = self._gmt
scaler = self._scaler
widget = self._widget
if self.axes_layout is None:
if self.lat > 0.0:
axes_layout = 'WSen'
else:
axes_layout = 'WseN'
else:
axes_layout = self.axes_layout
scale_km = gmtpy.nice_value(self.radius/5.) / 1000.
if self.show_center_mark:
gmt.psxy(
in_rows=[[self.lon, self.lat]],
S='c20p', W='2p,black',
*self._jxyr)
if self.show_grid:
btmpl = ('%(xinc)gg%(xinc)g:%(xlabel)s:/'
'%(yinc)gg%(yinc)g:%(ylabel)s:')
else:
btmpl = '%(xinc)g:%(xlabel)s:/%(yinc)g:%(ylabel)s:'
if self.show_scale:
scale = 'x%gp/%gp/%g/%g/%gk' % (
6./7*widget.width(),
widget.height()/7.,
self.lon,
self.lat,
scale_km)
else:
scale = False
gmt.psbasemap(
B=(btmpl % scaler.get_params())+axes_layout,
L=scale,
*self._jxyr)
if self.comment:
font_size = self.gmt.label_font_size()
_, east, south, _ = self._wesn
if gmt.is_gmt5():
row = [
1, 0,
'%gp,%s,%s' % (font_size, 0, 'black'), 'BR',
self.comment]
farg = ['-F+f+j']
else:
row = [1, 0, font_size, 0, 0, 'BR', self.comment]
farg = []
gmt.pstext(
in_rows=[row],
N=True,
R=(0, 1, 0, 1),
D='%gp/%gp' % (-font_size*0.2, font_size*0.3),
*(widget.PXY() + farg))
def draw_axes(self):
if not self._have_drawn_axes:
self._draw_axes()
self._have_drawn_axes = True
def _have_coastlines(self):
gmt = self._gmt
cres = self._coastline_resolution
minarea = self._minarea
checkfile = gmt.tempfilename()
gmt.pscoast(
M=True,
D=cres,
W='thinnest,black',
A=minarea,
out_filename=checkfile,
*self._jxyr)
points = []
with open(checkfile, 'r') as f:
for line in f:
ls = line.strip()
if ls.startswith('#') or ls.startswith('>') or ls == '':
continue
plon, plat = [float(x) for x in ls.split()]
points.append((plat, plon))
points = num.array(points, dtype=float)
return num.any(points_in_region(points, self._wesn))
def have_coastlines(self):
self.gmt
return self._have_coastlines()
def project(self, lats, lons, jr=None):
onepoint = False
if isinstance(lats, float) and isinstance(lons, float):
lats = [lats]
lons = [lons]
onepoint = True
if jr is not None:
j, r = jr
gmt = gmtpy.GMT(version=self._gmtversion)
else:
j, _, _, r = self.jxyr
gmt = self.gmt
f = BytesIO()
gmt.mapproject(j, r, in_columns=(lons, lats), out_stream=f, D='p')
f.seek(0)
data = num.loadtxt(f, ndmin=2)
xs, ys = data.T
if onepoint:
xs = xs[0]
ys = ys[0]
return xs, ys
def _map_box(self, jr=None):
ll_lon, ll_lat, ur_lon, ur_lat = self._corners
xs_corner, ys_corner = self.project(
(ll_lat, ur_lat), (ll_lon, ur_lon), jr=jr)
w = xs_corner[1] - xs_corner[0]
h = ys_corner[1] - ys_corner[0]
return w, h
def _map_aspect(self, jr=None):
w, h = self._map_box(jr=jr)
return h/w
def _draw_labels(self):
points_taken = []
regions_taken = []
def no_points_in_rect(xs, ys, xmin, ymin, xmax, ymax):
xx = not num.any(la(la(xmin < xs, xs < xmax),
la(ymin < ys, ys < ymax)))
return xx
def roverlaps(a, b):
return (a[0] < b[2] and b[0] < a[2] and
a[1] < b[3] and b[1] < a[3])
w, h = self._map_box()
label_font_size = self.gmt.label_font_size()
if self._labels:
n = len(self._labels)
lons, lats, texts, sx, sy, colors, fonts, font_sizes, \
angles, styles = list(zip(*self._labels))
font_sizes = [
(font_size or label_font_size) for font_size in font_sizes]
sx = num.array(sx, dtype=float)
sy = num.array(sy, dtype=float)
xs, ys = self.project(lats, lons)
points_taken.append((xs, ys))
dxs = num.zeros(n)
dys = num.zeros(n)
for i in range(n):
dx, dy = gmtpy.text_box(
texts[i],
font=fonts[i],
font_size=font_sizes[i],
**styles[i])
dxs[i] = dx
dys[i] = dy
la = num.logical_and
anchors_ok = (
la(xs + sx + dxs < w, ys + sy + dys < h),
la(xs - sx - dxs > 0., ys - sy - dys > 0.),
la(xs + sx + dxs < w, ys - sy - dys > 0.),
la(xs - sx - dxs > 0., ys + sy + dys < h),
)
arects = [
(xs, ys, xs + sx + dxs, ys + sy + dys),
(xs - sx - dxs, ys - sy - dys, xs, ys),
(xs, ys - sy - dys, xs + sx + dxs, ys),
(xs - sx - dxs, ys, xs, ys + sy + dys)]
for i in range(n):
for ianch in range(4):
anchors_ok[ianch][i] &= no_points_in_rect(
xs, ys, *[xxx[i] for xxx in arects[ianch]])
anchor_choices = []
anchor_take = []
for i in range(n):
choices = [ianch for ianch in range(4)
if anchors_ok[ianch][i]]
anchor_choices.append(choices)
if choices:
anchor_take.append(choices[0])
else:
anchor_take.append(None)
def cost(anchor_take):
noverlaps = 0
for i in range(n):
for j in range(n):
if i != j:
i_take = anchor_take[i]
j_take = anchor_take[j]
if i_take is None or j_take is None:
continue
r_i = [xxx[i] for xxx in arects[i_take]]
r_j = [xxx[j] for xxx in arects[j_take]]
if roverlaps(r_i, r_j):
noverlaps += 1
return noverlaps
cur_cost = cost(anchor_take)
imax = 30
while cur_cost != 0 and imax > 0:
for i in range(n):
for t in anchor_choices[i]:
anchor_take_new = list(anchor_take)
anchor_take_new[i] = t
new_cost = cost(anchor_take_new)
if new_cost < cur_cost:
anchor_take = anchor_take_new
cur_cost = new_cost
imax -= 1
while cur_cost != 0:
for i in range(n):
anchor_take_new = list(anchor_take)
anchor_take_new[i] = None
new_cost = cost(anchor_take_new)
if new_cost < cur_cost:
anchor_take = anchor_take_new
cur_cost = new_cost
break
anchor_strs = ['BL', 'TR', 'TL', 'BR']
for i in range(n):
ianchor = anchor_take[i]
color = colors[i]
if color is None:
color = 'black'
if ianchor is not None:
regions_taken.append([xxx[i] for xxx in arects[ianchor]])
anchor = anchor_strs[ianchor]
yoff = [-sy[i], sy[i]][anchor[0] == 'B']
xoff = [-sx[i], sx[i]][anchor[1] == 'L']
if self.gmt.is_gmt5():
row = (
lons[i], lats[i],
'%i,%s,%s' % (font_sizes[i], fonts[i], color),
anchor,
texts[i])
farg = ['-F+f+j+a%g' % angles[i]]
else:
row = (
lons[i], lats[i],
font_sizes[i], angles[i], fonts[i], anchor,
texts[i])
farg = ['-G%s' % color]
self.gmt.pstext(
in_rows=[row],
D='%gp/%gp' % (xoff, yoff),
*(self.jxyr + farg),
**styles[i])
if self._area_labels:
for lons, lats, text, color, font, font_size, style in \
self._area_labels:
if font_size is None:
font_size = label_font_size
if color is None:
color = 'black'
if self.gmt.is_gmt5():
farg = ['-F+f+j']
else:
farg = ['-G%s' % color]
xs, ys = self.project(lats, lons)
dx, dy = gmtpy.text_box(
text, font=font, font_size=font_size, **style)
rects = [xs-0.5*dx, ys-0.5*dy, xs+0.5*dx, ys+0.5*dy]
locs_ok = num.ones(xs.size, dtype=bool)
for iloc in range(xs.size):
rcandi = [xxx[iloc] for xxx in rects]
locs_ok[iloc] = True
locs_ok[iloc] &= (
0 < rcandi[0] and rcandi[2] < w
and 0 < rcandi[1] and rcandi[3] < h)
overlap = False
for r in regions_taken:
if roverlaps(r, rcandi):
overlap = True
break
locs_ok[iloc] &= not overlap
for xs_taken, ys_taken in points_taken:
locs_ok[iloc] &= no_points_in_rect(
xs_taken, ys_taken, *rcandi)
if not locs_ok[iloc]:
break
rows = []
for iloc, (lon, lat) in enumerate(zip(lons, lats)):
if not locs_ok[iloc]:
continue
if self.gmt.is_gmt5():
row = (
lon, lat,
'%i,%s,%s' % (font_size, font, color),
'MC',
text)
else:
row = (
lon, lat,
font_size, 0, font, 'MC',
text)
rows.append(row)
regions_taken.append([xxx[iloc] for xxx in rects])
break
self.gmt.pstext(
in_rows=rows,
*(self.jxyr + farg),
**style)
def draw_labels(self):
self.gmt
if not self._have_drawn_labels:
self._draw_labels()
self._have_drawn_labels = True
def add_label(
self, lat, lon, text,
offset_x=5., offset_y=5.,
color=None,
font='1',
font_size=None,
angle=0,
style={}):
if 'G' in style:
style = style.copy()
color = style.pop('G')
self._labels.append(
(lon, lat, text, offset_x, offset_y, color, font, font_size,
angle, style))
def add_area_label(
self, lat, lon, text,
color=None,
font='3',
font_size=None,
style={}):
self._area_labels.append(
(lon, lat, text, color, font, font_size, style))
def cities_in_region(self):
from pyrocko.dataset import geonames
cities = geonames.get_cities_region(region=self.wesn, minpop=0)
cities.extend(self.custom_cities)
cities.sort(key=lambda x: x.population)
return cities
def draw_cities(self,
exact=None,
include=[],
exclude=[],
nmax_soft=10,
psxy_style=dict(S='s5p', G='black')):
cities = self.cities_in_region()
if exact is not None:
cities = [c for c in cities if c.name in exact]
minpop = None
else:
cities = [c for c in cities if c.name not in exclude]
minpop = 10**3
for minpop_new in [1e3, 3e3, 1e4, 3e4, 1e5, 3e5, 1e6, 3e6, 1e7]:
cities_new = [
c for c in cities
if c.population > minpop_new or c.name in include]
if len(cities_new) == 0 or (
len(cities_new) < 3 and len(cities) < nmax_soft*2):
break
cities = cities_new
minpop = minpop_new
if len(cities) <= nmax_soft:
break
if cities:
lats = [c.lat for c in cities]
lons = [c.lon for c in cities]
self.gmt.psxy(
in_columns=(lons, lats),
*self.jxyr, **psxy_style)
for c in cities:
try:
text = c.name.encode('iso-8859-1').decode('iso-8859-1')
except UnicodeEncodeError:
text = c.asciiname
self.add_label(c.lat, c.lon, text)
self._cities_minpop = minpop
def add_stations(self, stations, psxy_style=dict()):
default_psxy_style = {
'S': 't8p',
'G': 'black'
}
default_psxy_style.update(psxy_style)
lats, lons = zip(*[s.effective_latlon for s in stations])
self.gmt.psxy(
in_columns=(lons, lats),
*self.jxyr, **default_psxy_style)
for station in stations:
self.add_label(
station.effective_lat,
station.effective_lon,
'.'.join(x for x in (station.network, station.station) if x))
def add_kite_scene(self, scene):
tile = FloatTile(
scene.frame.llLon,
scene.frame.llLat,
scene.frame.dLon,
scene.frame.dLat,
scene.displacement)
return tile
def add_gnss_campaign(self, campaign, psxy_style=None, offset_scale=None,
labels=True, vertical=False, fontsize=10):
stations = campaign.stations
if offset_scale is None:
offset_scale = num.zeros(campaign.nstations)
for ista, sta in enumerate(stations):
for comp in sta.components.values():
offset_scale[ista] += comp.shift
offset_scale = num.sqrt(offset_scale**2).max()
size = math.sqrt(self.height**2 + self.width**2)
scale = (size/10.) / offset_scale
logger.debug('GNSS: Using offset scale %f, map scale %f',
offset_scale, scale)
lats, lons = zip(*[s.effective_latlon for s in stations])
if vertical:
rows = [[lons[ista], lats[ista],
0., -s.up.shift,
(s.east.sigma + s.north.sigma) if s.east.sigma else 0.,
s.up.sigma, 0.,
s.code if labels else None]
for ista, s in enumerate(stations)
if s.up is not None]
else:
rows = [[lons[ista], lats[ista],
-s.east.shift, -s.north.shift,
s.east.sigma, s.north.sigma, s.correlation_ne,
s.code if labels else None]
for ista, s in enumerate(stations)
if s.east is not None or s.north is not None]
default_psxy_style = {
'h': 0,
'W': '2p,black',
'A': '+p2p,black+b+a40',
'G': 'black',
'L': True,
'S': 'e%dc/0.95/%d' % (scale, fontsize),
}
if not labels:
for row in rows:
row.pop(-1)
if psxy_style is not None:
default_psxy_style.update(psxy_style)
self.gmt.psvelo(
in_rows=rows,
*self.jxyr,
**default_psxy_style)
def draw_plates(self):
from pyrocko.dataset import tectonics
neast = 20
nnorth = max(1, int(round(num.round(self._hreg/self._wreg * neast))))
norths = num.linspace(-self._hreg*0.5, self._hreg*0.5, nnorth)
easts = num.linspace(-self._wreg*0.5, self._wreg*0.5, neast)
norths2 = num.repeat(norths, neast)
easts2 = num.tile(easts, nnorth)
lats, lons = od.ne_to_latlon(
self.lat, self.lon, norths2, easts2)
bird = tectonics.PeterBird2003()
plates = bird.get_plates()
color_plates = gmtpy.color('aluminium5')
color_velocities = gmtpy.color('skyblue1')
color_velocities_lab = gmtpy.color(darken(gmtpy.color_tup('skyblue1')))
points = num.vstack((lats, lons)).T
used = []
for plate in plates:
mask = plate.contains_points(points)
if num.any(mask):
used.append((plate, mask))
if len(used) > 1:
candi_fixed = {}
label_data = []
for plate, mask in used:
mean_north = num.mean(norths2[mask])
mean_east = num.mean(easts2[mask])
iorder = num.argsort(num.sqrt(
(norths2[mask] - mean_north)**2 +
(easts2[mask] - mean_east)**2))
lat_candis = lats[mask][iorder]
lon_candis = lons[mask][iorder]
candi_fixed[plate.name] = lat_candis.size
label_data.append((
lat_candis, lon_candis, plate, color_plates))
boundaries = bird.get_boundaries()
size = 1.
psxy_kwargs = []
for boundary in boundaries:
if num.any(points_in_region(boundary.points, self._wesn)):
for typ, part in boundary.split_types(
[['SUB'],
['OSR', 'CRB'],
['OTF', 'CTF', 'OCB', 'CCB']]):
lats, lons = part.T
kwargs = {}
kwargs['in_columns'] = (lons, lats)
kwargs['W'] = '%gp,%s' % (size, color_plates)
if typ[0] == 'SUB':
if boundary.kind == '\\':
kwargs['S'] = 'f%g/%gp+t+r' % (
0.45*size, 3.*size)
elif boundary.kind == '/':
kwargs['S'] = 'f%g/%gp+t+l' % (
0.45*size, 3.*size)
kwargs['G'] = color_plates
elif typ[0] in ['OSR', 'CRB']:
kwargs_bg = {}
kwargs_bg['in_columns'] = (lons, lats)
kwargs_bg['W'] = '%gp,%s' % (
size * 3, color_plates)
psxy_kwargs.append(kwargs_bg)
kwargs['W'] = '%gp,%s' % (size * 2, 'white')
psxy_kwargs.append(kwargs)
if boundary.kind == '\\':
if boundary.plate_name2 in candi_fixed:
candi_fixed[boundary.plate_name2] += \
neast*nnorth
elif boundary.kind == '/':
if boundary.plate_name1 in candi_fixed:
candi_fixed[boundary.plate_name1] += \
neast*nnorth
candi_fixed = [name for name in sorted(
list(candi_fixed.keys()), key=lambda name: -candi_fixed[name])]
candi_fixed.append(None)
gsrm = tectonics.GSRM1()
for name in candi_fixed:
if name not in gsrm.plate_names() \
and name not in gsrm.plate_alt_names():
continue
lats, lons, vnorth, veast, vnorth_err, veast_err, corr = \
gsrm.get_velocities(name, region=self._wesn)
fixed_plate_name = name
if self.show_plate_velocities:
self.gmt.psvelo(
in_columns=(
lons, lats, veast, vnorth, veast_err, vnorth_err,
corr),
W='0.25p,%s' % color_velocities,
A='9p+e+g%s' % color_velocities,
S='e0.2p/0.95/10',
*self.jxyr)
for _ in range(len(lons) // 50 + 1):
ii = random.randint(0, len(lons)-1)
v = math.sqrt(vnorth[ii]**2 + veast[ii]**2)
self.add_label(
lats[ii], lons[ii], '%.0f' % v,
font_size=0.7*self.gmt.label_font_size(),
style=dict(
G=color_velocities_lab))
break
if self.show_plate_names:
for (lat_candis, lon_candis, plate, color) in label_data:
full_name = bird.full_name(plate.name)
if plate.name == fixed_plate_name:
full_name = '@_' + full_name + '@_'
self.add_area_label(
lat_candis, lon_candis,
full_name,
color=color,
font='3')
for kwargs in psxy_kwargs:
self.gmt.psxy(*self.jxyr, **kwargs)
def rand(mi, ma):
mi = float(mi)
ma = float(ma)
return random.random() * (ma-mi) + mi
def split_region(region):
west, east, south, north = topo.positive_region(region)
if east > 180:
return [(west, 180., south, north),
(-180., east-360., south, north)]
else:
return [region]
class CPTLevel(Object):
vmin = Float.T()
vmax = Float.T()
color_min = Tuple.T(3, Float.T())
color_max = Tuple.T(3, Float.T())
class CPT(Object):
color_below = Tuple.T(3, Float.T(), optional=True)
color_above = Tuple.T(3, Float.T(), optional=True)
color_nan = Tuple.T(3, Float.T(), optional=True)
levels = List.T(CPTLevel.T())
def scale(self, vmin, vmax):
vmin_old, vmax_old = self.levels[0].vmin, self.levels[-1].vmax
for level in self.levels:
level.vmin = (level.vmin - vmin_old) / (vmax_old - vmin_old) * \
(vmax - vmin) + vmin
level.vmax = (level.vmax - vmin_old) / (vmax_old - vmin_old) * \
(vmax - vmin) + vmin
def discretize(self, nlevels):
colors = []
vals = []
for level in self.levels:
vals.append(level.vmin)
vals.append(level.vmax)
colors.append(level.color_min)
colors.append(level.color_max)
r, g, b = num.array(colors, dtype=float).T
vals = num.array(vals, dtype=float)
vmin, vmax = self.levels[0].vmin, self.levels[-1].vmax
x = num.linspace(vmin, vmax, nlevels+1)
rd = num.interp(x, vals, r)
gd = num.interp(x, vals, g)
bd = num.interp(x, vals, b)
levels = []
for ilevel in range(nlevels):
color = (
float(0.5*(rd[ilevel]+rd[ilevel+1])),
float(0.5*(gd[ilevel]+gd[ilevel+1])),
float(0.5*(bd[ilevel]+bd[ilevel+1])))
levels.append(CPTLevel(
vmin=x[ilevel],
vmax=x[ilevel+1],
color_min=color,
color_max=color))
cpt = CPT(
color_below=self.color_below,
color_above=self.color_above,
color_nan=self.color_nan,
levels=levels)
return cpt
class CPTParseError(Exception):
pass
def read_cpt(filename):
with open(filename) as f:
color_below = None
color_above = None
color_nan = None
levels = []
try:
for line in f:
line = line.strip()
toks = line.split()
if line.startswith('#'):
continue
elif line.startswith('B'):
color_below = tuple(map(float, toks[1:4]))
elif line.startswith('F'):
color_above = tuple(map(float, toks[1:4]))
elif line.startswith('N'):
color_nan = tuple(map(float, toks[1:4]))
else:
values = list(map(float, line.split()))
vmin = values[0]
color_min = tuple(values[1:4])
vmax = values[4]
color_max = tuple(values[5:8])
levels.append(CPTLevel(
vmin=vmin,
vmax=vmax,
color_min=color_min,
color_max=color_max))
except Exception:
raise CPTParseError()
return CPT(
color_below=color_below,
color_above=color_above,
color_nan=color_nan,
levels=levels)
def color_to_int(color):
return tuple(max(0, min(255, int(round(x)))) for x in color)
def write_cpt(cpt, filename):
with open(filename, 'w') as f:
for level in cpt.levels:
f.write(
'%e %i %i %i %e %i %i %i\n' %
((level.vmin, ) + color_to_int(level.color_min) +
(level.vmax, ) + color_to_int(level.color_max)))
if cpt.color_below:
f.write('B %i %i %i\n' % color_to_int(cpt.color_below))
if cpt.color_above:
f.write('F %i %i %i\n' % color_to_int(cpt.color_above))
if cpt.color_nan:
f.write('N %i %i %i\n' % color_to_int(cpt.color_nan))
def cpt_merge_wet_dry(wet, dry):
levels = []
for level in wet.levels:
if level.vmin < 0.:
if level.vmax > 0.:
level.vmax = 0.
levels.append(level)
for level in dry.levels:
if level.vmax > 0.:
if level.vmin < 0.:
level.vmin = 0.
levels.append(level)
combi = CPT(
color_below=wet.color_below,
color_above=dry.color_above,
color_nan=dry.color_nan,
levels=levels)
return combi
if __name__ == '__main__':
from pyrocko import util
util.setup_logging('pyrocko.automap', 'info')
import sys
if len(sys.argv) == 2:
n = int(sys.argv[1])
for i in range(n):
m = Map(
lat=rand(-60., 60.),
lon=rand(-180., 180.),
radius=math.exp(rand(math.log(500*km), math.log(3000*km))),
width=30., height=30.,
show_grid=True,
show_topo=True,
color_dry=(238, 236, 230),
topo_cpt_wet='light_sea_uniform',
topo_cpt_dry='light_land_uniform',
illuminate=True,
illuminate_factor_ocean=0.15,
show_rivers=False,
show_plates=True)
m.draw_cities()
print(m)
m.save('map_%02i.pdf' % i)
