56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import numpy as np
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import pykrige.kriging_tools as kt
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from pykrige import OrdinaryKriging
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import rasterio as rio
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class KrigingSpiData(object):
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def __init__(self, data, save_path, XY):
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self.save_path = save_path
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self.data = data
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self.XY = XY
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self.get_conf()
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def get_minmax(self):
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delta = 0.1
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miny = self.XY['X'].min() - delta
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minx = self.XY['Y'].min() - delta
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maxy = self.XY['X'].max() + delta
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maxx = self.XY['Y'].max() + delta
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print(miny, minx, maxy, maxx)
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return (minx, miny, maxx, maxy)
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def get_conf(self):
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(minx, miny, maxx, maxy) = self.get_minmax()
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res = 0.003
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self.gridx = np.arange(minx, maxx, res)
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self.gridy = np.arange(miny, maxy, res)
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self.height = len(self.gridx)
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self.width = len(self.gridy)
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from rasterio.transform import from_origin
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self.transform = from_origin(miny - res / 2, maxx + res / 2, res, res)
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def write_tif(self, kriging_data):
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out_meta = {"driver": "GTiff",
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"height": self.height,
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"width": self.width,
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"transform": self.transform}
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with rio.open(self.save_path, "w", count=1, dtype='float64', crs='+proj=latlong', **out_meta) as dest:
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dest.write_band(1, kriging_data)
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def kriging(self):
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print(np.asarray(self.XY['Y']))
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# self.data = np.random.rand(179)
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print(self.data)
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OK = OrdinaryKriging(np.asarray(self.XY['X']), np.asarray(self.XY['Y']), self.data, variogram_model='spherical', verbose=False,
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enable_plotting=False)
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z, ss = OK.execute('grid', self.gridx, self.gridy)
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self.write_tif(z)
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if __name__ == '__main__':
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kd = KrigingSpiData("D:/work/3.scala-gis/geotrellis-through/geotrellis/bj_197901.txt", "D://")
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kd.kriging()
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