Пример #1
0
  def interp(self):
    #print self.dst_grid_center_lon[0]
    #print self.dst_grid_center_lat[0]
    #point = (self.dst_grid_center_lon[0], self.dst_grid_center_lat[0])
    #point = (0.0, 0.0)
    n = len(self.dst_grid_center_lon)
    for i in xrange(n):
      # ignore masked pnt
      if self.dst_grid_imask[i] == 0:
        print 'My mask is zero!'
        self.remap_matrix.append([])
        self.remap_matrix_indx.append([])
        continue
      
      # debug recovery function
      #dst_point = (357.625, -82.375)
      dst_point = (self.dst_grid_center_lon[i], self.dst_grid_center_lat[i])
      indx, lst = self.bilinearbox_obj.find_nearest_k(dst_point, 4)
      # suppose atom grid has no mask
      # case ocn2atm, a atm cell with a land cell below
      if Interp.check_all_masks(self, indx, 4):
        print 'It must be a land cell.'
        self.remap_matrix.append([])
        self.remap_matrix_indx.append([])
        continue
      # decide if dst pnt is coincide with a src pnt
      local_wgt = []
      if dst_point in lst:
        print 'coincide'
        for item in lst:
          if item == dst_point:
            local_wgt.append(1.0)
          else:
            local_wgt.append(0.0)
        
        Interp.check_wgt(self, local_wgt)
        Interp.check_wgtsum(self, local_wgt)
        # set remap_matrix and remap_matrix_indx objs
        self.remap_matrix.append(local_wgt)
        indx = Interp.indx_recovery(self, indx)
        self.remap_matrix_indx.append(indx)
        continue
      # find a bilinear box
      outside_flag, full_flag, bilinear_box_indx, bilinear_box = self.bilinearbox_obj.find_nearest_box(dst_point)
      
      # can not find 4 cells with no masks
      # use idw algorithm instead
      if not full_flag:
        bilinear_solver = Idw_Solver(dst_point, bilinear_box, 1.0e-6, 1)
        bilinear_solver.solve()
        bilinear_box_indx = Interp.indx_recovery(self, bilinear_box_indx)
        Interp.check_wgt(self, bilinear_solver.wgt_lst)
        Interp.check_wgtsum(self, bilinear_solver.wgt_lst)
        self.remap_matrix.append(bilinear_solver.wgt_lst)
        self.remap_matrix_indx.append(bilinear_box_indx)
        continue
        
      predict_flag = False
      # if can not be contained or bounding rect is a triangle
      # deciding a triangle by checking if three of them is collinearion
      if outside_flag or self.check_triangle(bilinear_box):
        predict_flag = True
        print 'predictor case.'
        #bilinear_solver = Bilinear_Predictor(dst_point, bilinear_box)
        #bilinear_solver.predict() 
        bilinear_solver = Idw_Solver(dst_point, bilinear_box, 1.0e-6, 1)
        bilinear_solver.solve()
        # print debug info in detail
        if outside_flag:
          print 'outside'
          if not is_convex_quadrangle(bilinear_box):
            print 'it is a non-convex quadrangle, so it must be outside.'
          else:
            print 'trully meaning extrapolation.' 
        else:
          print 'it is a bounding triangle box.'
      else:
        print dst_point  
        print bilinear_box
        print 'normal case'
        bilinear_solver = Bilinear_Solver(dst_point, bilinear_box) 
        branch = self.switch(bilinear_box)
        if branch == 1:
          bilinear_solver.solve_bilinear_case1()
        if branch == 2:
          bilinear_solver.solve_bilinear_case2()
        if branch == 3: 
          bilinear_solver.solve_bilinear_case3()

      # transferm ghost bilinear_box_indx to original
      bilinear_box_indx = Interp.indx_recovery(self, bilinear_box_indx)
      
      print dst_point
      print bilinear_box
      print bilinear_box_indx
      print bilinear_solver.wgt_lst
      print ''

      # store result into objs
      #self.interp_wgt = bilinear_solver.wgt_lst
      #self.interp_box_indx = bilinear_box_indx
      #self.interp_box = bilinear_box
      
      if not predict_flag:
        Interp.check_wgt(self, bilinear_solver.wgt_lst) 
        Interp.check_wgtsum(self, bilinear_solver.wgt_lst) 
      # set remap_matrix and remap_matrix_indx objs 
      self.remap_matrix.append(bilinear_solver.wgt_lst)
      self.remap_matrix_indx.append(bilinear_box_indx)
    
    print 'remap_matrix size is:'
    print len(self.remap_matrix)
    
    # compact remap matrix, gen remap_src_indx and remap_dst_indx
    print 'Compacting remap matrix...'
    Interp.compact_remap_matrix(self)
    print 'Compacting finished!'
Пример #2
0
    def interp(self):
        #print self.dst_grid_center_lon[0]
        #print self.dst_grid_center_lat[0]
        #point = (self.dst_grid_center_lon[0], self.dst_grid_center_lat[0])
        #point = (0.0, 0.0)
        n = len(self.dst_grid_center_lon)
        for i in xrange(n):
            # ignore masked pnt
            if self.dst_grid_imask[i] == 0:
                print 'My mask is zero!'
                self.remap_matrix.append([])
                self.remap_matrix_indx.append([])
                continue

            # debug recovery function
            #dst_point = (357.625, -82.375)
            dst_point = (self.dst_grid_center_lon[i],
                         self.dst_grid_center_lat[i])
            indx, lst = self.bilinearbox_obj.find_nearest_k(dst_point, 4)
            # suppose atom grid has no mask
            # case ocn2atm, a atm cell with a land cell below
            if Interp.check_all_masks(self, indx, 4):
                print 'It must be a land cell.'
                self.remap_matrix.append([])
                self.remap_matrix_indx.append([])
                continue
            # decide if dst pnt is coincide with a src pnt
            local_wgt = []
            if dst_point in lst:
                print 'coincide'
                for item in lst:
                    if item == dst_point:
                        local_wgt.append(1.0)
                    else:
                        local_wgt.append(0.0)

                Interp.check_wgt(self, local_wgt)
                Interp.check_wgtsum(self, local_wgt)
                # set remap_matrix and remap_matrix_indx objs
                self.remap_matrix.append(local_wgt)
                indx = Interp.indx_recovery(self, indx)
                self.remap_matrix_indx.append(indx)
                continue
            # find a bilinear box
            outside_flag, full_flag, bilinear_box_indx, bilinear_box = self.bilinearbox_obj.find_nearest_box(
                dst_point)

            # can not find 4 cells with no masks
            # use idw algorithm instead
            if not full_flag:
                bilinear_solver = Idw_Solver(dst_point, bilinear_box, 1.0e-6,
                                             1)
                bilinear_solver.solve()
                bilinear_box_indx = Interp.indx_recovery(
                    self, bilinear_box_indx)
                Interp.check_wgt(self, bilinear_solver.wgt_lst)
                Interp.check_wgtsum(self, bilinear_solver.wgt_lst)
                self.remap_matrix.append(bilinear_solver.wgt_lst)
                self.remap_matrix_indx.append(bilinear_box_indx)
                continue

            predict_flag = False
            # if can not be contained or bounding rect is a triangle
            # deciding a triangle by checking if three of them is collinearion
            if outside_flag or self.check_triangle(bilinear_box):
                predict_flag = True
                print 'predictor case.'
                #bilinear_solver = Bilinear_Predictor(dst_point, bilinear_box)
                #bilinear_solver.predict()
                bilinear_solver = Idw_Solver(dst_point, bilinear_box, 1.0e-6,
                                             1)
                bilinear_solver.solve()
                # print debug info in detail
                if outside_flag:
                    print 'outside'
                    if not is_convex_quadrangle(bilinear_box):
                        print 'it is a non-convex quadrangle, so it must be outside.'
                    else:
                        print 'trully meaning extrapolation.'
                else:
                    print 'it is a bounding triangle box.'
            else:
                print dst_point
                print bilinear_box
                print 'normal case'
                bilinear_solver = Bilinear_Solver(dst_point, bilinear_box)
                branch = self.switch(bilinear_box)
                if branch == 1:
                    bilinear_solver.solve_bilinear_case1()
                if branch == 2:
                    bilinear_solver.solve_bilinear_case2()
                if branch == 3:
                    bilinear_solver.solve_bilinear_case3()

            # transferm ghost bilinear_box_indx to original
            bilinear_box_indx = Interp.indx_recovery(self, bilinear_box_indx)

            print dst_point
            print bilinear_box
            print bilinear_box_indx
            print bilinear_solver.wgt_lst
            print ''

            # store result into objs
            #self.interp_wgt = bilinear_solver.wgt_lst
            #self.interp_box_indx = bilinear_box_indx
            #self.interp_box = bilinear_box

            if not predict_flag:
                Interp.check_wgt(self, bilinear_solver.wgt_lst)
                Interp.check_wgtsum(self, bilinear_solver.wgt_lst)
            # set remap_matrix and remap_matrix_indx objs
            self.remap_matrix.append(bilinear_solver.wgt_lst)
            self.remap_matrix_indx.append(bilinear_box_indx)

        print 'remap_matrix size is:'
        print len(self.remap_matrix)

        # compact remap matrix, gen remap_src_indx and remap_dst_indx
        print 'Compacting remap matrix...'
        Interp.compact_remap_matrix(self)
        print 'Compacting finished!'