joaofig

# Create the GeoDataFrame from the cluster numbers and blobs
data = { 'cluster': clusters, 'polygon': blobs, 'count': counts }

cluster_gdf = gpd.GeoDataFrame(pd.DataFrame(data), geometry='polygon')
cluster_gdf.crs = {'init': 'epsg:4326'}

ax = cluster_gdf.geometry.plot(linewidth=2.0, color='red', edgecolor='red')

joaofig

import mplleaflet
mplleaflet.show(fig=ax.figure, tiles='cartodb_positron')

joaofig

    def fit(self, s_k):
        if not torch.is_tensor(s_k):
            raise ValueError('s_k must be a torch tensor.')

        item_count = s_k.size()[0]
        k_k = torch.arange(0, item_count, dtype=torch.float32)
        r_k = torch.ones_like(s_k)
        r_k[1:] = 1.0 / s_k[1:]
        d_k = (r_k[2:] - r_k[1:-1]) / torch.log(k_k[2:])

joaofig

    def calculate_determination(self, y, y_hat):
        y_np = y.numpy() if torch.is_tensor(y) else y
        y_bar = np.sum(y_np) / len(y_np)
        ssreg = np.sum((y_hat - y_bar) ** 2)
        sstot = np.sum((y_np - y_bar) ** 2)
        r2 = ssreg / sstot
        return r2

joaofig

    def calculate_y_hat(self, x, y):
        xx, yy = x, y
        if torch.is_tensor(x):
            xx = x.numpy()
        if torch.is_tensor(y):
            yy = y.numpy()
        coefficients = np.polyfit(xx, yy, 2)
        polynomial = np.poly1d(coefficients)
        y_hat = polynomial(xx)
        return y_hat

joaofig

    def calculate_r2(self, x, y):
        y_hat = self.calculate_y_hat(x, y)
        r2 = self.calculate_determination(y, y_hat)
        return r2

joaofig

    def fit(self, s_k):
        if not torch.is_tensor(s_k):
            raise ValueError('s_k must be a torch tensor.')

        item_count = s_k.size()[0]
        k_k = torch.arange(0, item_count, dtype=torch.float32)
        r_k = torch.ones_like(s_k)
        r_k[1:] = 1.0 / s_k[1:]
        d_k = (r_k[2:] - r_k[1:-1]) / torch.log(k_k[2:])

joaofig

        # Create the concave hull object
        concave_hull = ConcaveHull(points)

        # Calculate the concave hull array
        hull_array = concave_hull.calculate()

joaofig

# Create the concave hull object
concave_hull = ConcaveHull(points)

# Calculate the concave hull array
hull_array = concave_hull.calculate()

joaofig

# Create the concave hull object
concave_hull = ConcaveHull(points)

# Calculate the concave hull array
hull_array = concave_hull.calculate()