```python
import numpy as np
import argparse
import matplotlib.pyplot as plt
import scipy
from fealpy.mesh import MeshFactory as MF
from fealpy.timeintegratoralg import ADI_2d
from fealpy.functionspace import FirstKindNedelecFiniteElementSpace2d, ScaledMonomialSpace2d
from fealpy.boundarycondition import BoundaryCondition
from fealpy.tools.show import showmultirate, show_error_table

# Parse command line arguments
parser = argparse.ArgumentParser(description="PDE Solver Parameters")
parser.add_argument("--time_div", type=int, default=100, help="Time division")
parser.add_argument("--init_spatial_div", type=int, default=10, help="Initial spatial division")
parser.add_argument("--num_spatial_iter", type=int, default=5, help="Number of spatial iterations")
args = parser.parse_args()

# Create an initial 2D triangular mesh
mesh = MF.boxmesh2d([0, 1, 0, 1], nx=args.init_spatial_div, ny=args.init_spatial_div, meshtype='tri')

# Define PDE parameters
pde = ADI_2d()

# Initialize fields
electric_field_space = FirstKindNedelecFiniteElementSpace2d(mesh)
magnetic_field_space = ScaledMonomialSpace2d(mesh, p=1)

# Function to get the phi curl matrix
def get_phi_curl_matrix():
    # Placeholder function body
    pass

# Create mass and curl matrices
# Placeholder for actual fealpy function calls to create matrices

for i in range(args.num_spatial_iter):
    # Compute RHS of the equation for the next time layer
    # Placeholder for computation
    
    # Handle boundary conditions
    # Placeholder for boundary condition handling
    
    # Compute fields for the next time layer
    # Placeholder for field computation
    
    # Calculate error
    # Placeholder for error calculation
    
    if i < args.num_spatial_iter - 1:
        # Refine mesh uniformly
        mesh.uniform_refine()
    
# Display error matrix and plot error rates
# Placeholder for error display and plotting
```