Source code for pyrocko.dataset.topo.etopo1
# http://pyrocko.org - GPLv3
#
# The Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
from __future__ import absolute_import
from builtins import range
import zipfile
import os.path as op
import numpy as num
from . import tile, dataset
citation = '''
Amante, C. and B.W. Eakins, 2009. ETOPO1 1 Arc-Minute Global Relief Model:
Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS
NGDC-24. National Geophysical Data Center, NOAA. doi:10.7289/V5C8276M
[access date].
'''
[docs]class ETOPO1(dataset.TiledGlobalDataset):
def __init__(
self,
name='ETOPO1',
data_dir=op.join(op.dirname(__file__), 'data', 'ETOPO1'),
base_fn='etopo1_ice_g_i2',
raw_data_url=('https://mirror.pyrocko.org/www.ngdc.noaa.gov/mgg'
'/global/relief/ETOPO1/data/ice_surface/'
'grid_registered/binary/%s.zip')):
dataset.TiledGlobalDataset.__init__(
self,
name,
21601, 10801, 1351, 1351,
num.dtype('<i2'),
data_dir=data_dir,
citation=citation)
self.base_fn = base_fn
self.raw_data_url = raw_data_url
[docs] def download(self):
fpath = op.join(self.data_dir, '%s.zip' % self.base_fn)
if not op.exists(fpath):
self.download_file(
self.raw_data_url % self.base_fn, fpath)
self.make_tiles()
[docs] def make_tiles(self):
fpath = op.join(self.data_dir, '%s.zip' % self.base_fn)
zipf = zipfile.ZipFile(fpath, 'r')
rawdata = zipf.read('%s.bin' % self.base_fn)
zipf.close()
data = num.fromstring(rawdata, dtype=self.dtype)
assert data.size == self.nx * self.ny
data = data.reshape((self.ny, self.nx))[::-1]
for ity in range(self.ntilesy):
for itx in range(self.ntilesx):
tiledata = data[ity*(self.nty-1):(ity+1)*(self.nty-1)+1,
itx*(self.ntx-1):(itx+1)*(self.ntx-1)+1]
fn = '%s.%02i.%02i.bin' % (self.base_fn, ity, itx)
fpath = op.join(self.data_dir, fn)
with open(fpath, 'w') as f:
tiledata.tofile(f)
[docs] def get_tile(self, itx, ity):
assert 0 <= itx < self.ntilesx
assert 0 <= ity < self.ntilesy
fn = '%s.%02i.%02i.bin' % (self.base_fn, ity, itx)
fpath = op.join(self.data_dir, fn)
if not op.exists(fpath):
self.download()
with open(fpath, 'r') as f:
data = num.fromfile(f, dtype=self.dtype)
assert data.size == self.ntx*self.nty
data = data.reshape((self.ntx, self.nty))
return tile.Tile(
self.xmin + itx*self.stx,
self.ymin + ity*self.sty,
self.dx, self.dx, data)