def METHOD_NAME(self) -> None:
    if self.result.label == "undefined":
        logging.info("Result is undefined. Skipping figure creation.")
        return
    if self.area_sqkm < 10:
        max_area = 10
    else:
        max_area = round(self.area_sqkm * 2 / 10) * 10
    # Create x-axis data
    x = np.linspace(0, max_area, 2)
    # Calculate y-axis data for thresholds
    y1 = [self.green_threshold_function(xi) for xi in x]
    y2 = [self.yellow_threshold_function(xi) for xi in x]
    # Calculate y-axis data for fill_between areas
    fill_1 = np.maximum(y2, 0)
    fill_2 = np.maximum(y1, 0)
    fill_3 = np.maximum(y1[1], np.array([self.count, self.count]))
    # Create figure and add traces
    fig = go.Figure()
    fig.add_trace(
        go.Scatter(
            x=x,
            y=fill_1,
            mode="lines",
            fill="tonexty",
            line=dict(color="red"),
            showlegend=False,
        )
    )
    fig.add_trace(
        go.Scatter(
            x=x,
            y=fill_2,
            mode="lines",
            fill="tonexty",
            line=dict(color="yellow"),
            showlegend=False,
        )
    )
    fig.add_trace(
        go.Scatter(
            x=x,
            y=fill_3,
            mode="lines",
            fill="tonexty",
            line=dict(color="green"),
            showlegend=False,
        )
    )
    fig.add_trace(
        go.Scatter(
            x=x,
            y=y2,
            mode="lines",
            line=dict(dash="dot", color="black"),
            name="Threshold B",
        )
    )
    fig.add_trace(
        go.Scatter(
            x=x,
            y=y1,
            mode="lines",
            line=dict(dash="dash", color="black"),
            name="Threshold A",
        )
    )
    fig.add_trace(
        go.Scatter(
            x=[self.area_sqkm],
            y=[self.count],
            mode="markers",
            marker=dict(symbol="circle", size=10, color="black"),
            name="Location",
        )
    )
    # Update layout
    fig.update_layout(
        title="Density (Features per Area)",
        xaxis_title="Area (km²)",
        yaxis_title="Features",
    )
    raw = fig.to_dict()
    raw["layout"].pop("template")  # remove boilerplate
    self.result.figure = raw