krige3d.py 文件源码

def block_covariance(self):
        "return average covariance within block"
        if self._block_covariance is None:
            if self.ndb <= 1:  # point kriging
                self._block_covariance = self.unbias
            else:
                cov = list()
                for x1, y1, z1 in izip(self.xdb, self.ydb, self.zdb):
                    for x2, y2, z2 in izip(self.xdb, self.ydb, self.zdb):
                        # cov.append(self._cova3((x1, y1, z1), (x2, y2, z2)))
                        cov.append(cova3(
                            (x1, y1, z1), (x2, y2, z2),
                            self.rotmat, self.maxcov, self.nst,
                            self.it, self.cc, self.aa_hmax))
                cov = np.array(cov).reshape((self.ndb, self.ndb))
                cov[np.diag_indices_from(cov)] -= self.c0
                self._block_covariance = np.mean(cov)
        return self._block_covariance