diff --git a/example_notebook.ipynb b/example_notebook.ipynb index f0a479f..c473c14 100644 --- a/example_notebook.ipynb +++ b/example_notebook.ipynb @@ -22,9 +22,18 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "# Necessary imports\n", "import matplotlib.pyplot as plt\n", @@ -51,12 +60,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -92,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -115,16 +124,16 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean: 0.1103\n", + "Mean: 0.1099\n", "Above Threshold Average: 1.0\n", - "Above Quantile Average: 0.1103\n" + "Above Quantile Average: 0.1099\n" ] } ], @@ -155,12 +164,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -200,10 +209,10 @@ " \n", " 0\n", " mean\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 1\n", @@ -216,10 +225,10 @@ " \n", " 2\n", " above_quantile_mean_0.7\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", "\n", @@ -227,12 +236,12 @@ ], "text/plain": [ " Name Map 0 Map 1 Map 2 Map 3\n", - "0 mean 0.1103 0.1138 0.1347 0.1223\n", + "0 mean 0.1099 0.0911 0.1317 0.1043\n", "1 above_threshold_mean_0.7 1.0000 1.0000 1.0000 1.0000\n", - "2 above_quantile_mean_0.7 0.1103 0.1138 0.1347 0.1223" + "2 above_quantile_mean_0.7 0.1099 0.0911 0.1317 0.1043" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -259,12 +268,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -304,40 +313,40 @@ " \n", " 0\n", " above_quantile_mean_0.5\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 1\n", " above_quantile_mean_0.6\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 2\n", " above_quantile_mean_0.7\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 3\n", " above_quantile_mean_0.8\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 4\n", " above_quantile_mean_0.9\n", " 1.0000\n", - " 1.0000\n", + " 0.0911\n", " 1.0000\n", " 1.0000\n", " \n", @@ -347,14 +356,14 @@ ], "text/plain": [ " Name Map 0 Map 1 Map 2 Map 3\n", - "0 above_quantile_mean_0.5 0.1103 0.1138 0.1347 0.1223\n", - "1 above_quantile_mean_0.6 0.1103 0.1138 0.1347 0.1223\n", - "2 above_quantile_mean_0.7 0.1103 0.1138 0.1347 0.1223\n", - "3 above_quantile_mean_0.8 0.1103 0.1138 0.1347 0.1223\n", - "4 above_quantile_mean_0.9 1.0000 1.0000 1.0000 1.0000" + "0 above_quantile_mean_0.5 0.1099 0.0911 0.1317 0.1043\n", + "1 above_quantile_mean_0.6 0.1099 0.0911 0.1317 0.1043\n", + "2 above_quantile_mean_0.7 0.1099 0.0911 0.1317 0.1043\n", + "3 above_quantile_mean_0.8 0.1099 0.0911 0.1317 0.1043\n", + "4 above_quantile_mean_0.9 1.0000 0.0911 1.0000 1.0000" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -382,7 +391,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -408,12 +417,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -453,10 +462,10 @@ " \n", " 0\n", " mean\n", - " 0.1103\n", - " 0.1138\n", - " 0.1347\n", - " 0.1223\n", + " 0.1099\n", + " 0.0911\n", + " 0.1317\n", + " 0.1043\n", " \n", " \n", " 1\n", @@ -480,12 +489,12 @@ ], "text/plain": [ " Name Map 0 Map 1 Map 2 Map 3\n", - "0 mean 0.1103 0.1138 0.1347 0.1223\n", + "0 mean 0.1099 0.0911 0.1317 0.1043\n", "1 class_mean_0 0.0000 0.0000 0.0000 0.0000\n", "2 class_mean_1 1.0000 1.0000 1.0000 1.0000" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -502,6 +511,177 @@ "\n", "results" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Spatial Decomposition\n", + "\n", + "Spatial decomposition allows you to analyze patterns in your uncertainty maps using spatial measures such as Moran’s I, Entropy, and Edge Density Score (EDS). These measures help distinguish between areas with strong spatial structure and areas with weak or no spatial patterns.\n", + "\n", + "By applying spatial decomposition, any uncertainty map can be split into two components:\n", + "\n", + "- One that captures spatially structured regions (e.g. clustered, edged, or uniformly distributed areas).\n", + "- One that represents spatially unstructured regions (e.g. noise, randomness, or flat areas).\n", + "\n", + "This process also yields a spatial measure score, the **Spatial Ratio**, which quantifies the proportion of uncertainty concentrated in spatially structured regions. In other words, it tells you how much of the uncertainty has a spatial signature.\n", + "For example:\n", + "\n", + "**Moran’s I**\n", + "- Spatial Ratio = 1: Strong spatial clustering in the uncertainty map.\n", + "- Spatial Ratio = 0: No spatial autocorrelation, the uncertainty is randomly distributed.\n", + "\n", + "**Edge Density Score (EDS)**\n", + "- Spatial Ratio = 1: High presence of edge, uncertainty is concentrated along boundaries or transitions.\n", + "- Spatial Ratio = 0: No edge structure, uncertainty is evenly flat.\n", + "\n", + "**Entropy**\n", + "- Spatial Ratio = 1: Uniform distribution, uncertainty values are spread out evenly.\n", + "- Spatial Ratio = 0: Low diversity, uncertainty is concentrated in specific values or regions (e.g. high certainty in most of the map)." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "from aggrigator.spatial_decomposition import spatial_decomposition\n", + "\n", + "x = np.random.rand(100, 100)\n", + "x[10:25, 10:25] = 1\n", + "x[30:45, 30:45] = 1\n", + "x[50:65, 50:65] = 1\n", + "x[70:85, 70:85] = 1\n", + "unc_map = UncertaintyMap(x, name='spatial_test')\n", + "\n", + "spatial_measure = \"moran\"\n", + "window_size = 3\n", + "decomposition = spatial_decomposition(unc_map, window_size=window_size, spatial_measure=spatial_measure)\n", + "high_measure_map, low_measure_map, local_measure_weights, high_spatial_mass_ratio = decomposition" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the decomposition\n", + "plt.figure(figsize=(10, 5))\n", + "\n", + "# The original uncertainty map\n", + "plt.subplot(1, 4, 1)\n", + "plt.imshow(unc_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.axis('off')\n", + "plt.title(f'Uncertainty map\\n{spatial_measure} mass ratio: {high_spatial_mass_ratio:.3f}')\n", + "\n", + "# The pixelwise local spatial measure between 0 and 1.\n", + "# Each local measure acts as a pixelwise weight for the original uncertainty map.\n", + "plt.subplot(1, 4, 2)\n", + "plt.imshow(local_measure_weights, cmap='plasma', vmin=0,vmax=1)\n", + "plt.title(f'Local spatial values\\nfor {spatial_measure}')\n", + "plt.axis('off')\n", + "\n", + "# The high spatial uncertainty map, i.e. the uncertainty map weighted by the local spatial measure.\n", + "# This map captures uncertainty present in patterns with high spatial measure,\n", + "# e.g. clusters of similar values for Moran's I or edges for EDS.\n", + "plt.subplot(1, 4, 3)\n", + "plt.imshow(high_measure_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.title(f'High {spatial_measure}\\nuncertainty map')\n", + "plt.axis('off')\n", + "\n", + "# The low spatial uncertainty map, i.e. the uncertainty map weighted by 1 - the local spatial measure.\n", + "# This map captures uncertainty present in patterns with low spatial measure,\n", + "# e.g. random noise for Moran's I or flat areas for EDS.\n", + "plt.subplot(1, 4, 4)\n", + "plt.imshow(low_measure_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.title(f'Low {spatial_measure}\\nuncertainty map')\n", + "plt.axis('off')\n", + "plt.show() " + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.zeros((100, 100))\n", + "x[10:25, 10:25] = 1\n", + "x[30:45, 30:45] = 1\n", + "x[50:65, 50:65] = 1\n", + "x[70:85, 70:85] = 1\n", + "unc_map = UncertaintyMap(x, name='spatial_test')\n", + "\n", + "spatial_measure = \"eds\"\n", + "window_size = 3\n", + "decomposition = spatial_decomposition(unc_map, window_size=window_size, spatial_measure=spatial_measure)\n", + "high_measure_map, low_measure_map, local_measure_weights, high_spatial_mass_ratio = decomposition" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the decomposition\n", + "plt.figure(figsize=(10, 5))\n", + "\n", + "# The original uncertainty map\n", + "plt.subplot(1, 4, 1)\n", + "plt.imshow(unc_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.axis('off')\n", + "plt.title(f'Uncertainty map\\n{spatial_measure} mass ratio: {high_spatial_mass_ratio:.3f}')\n", + "\n", + "# The pixelwise local spatial measure between 0 and 1.\n", + "# Each local measure acts as a pixelwise weight for the original uncertainty map.\n", + "plt.subplot(1, 4, 2)\n", + "plt.imshow(local_measure_weights, cmap='plasma', vmin=0,vmax=1)\n", + "plt.title(f'Local spatial values\\nfor {spatial_measure}')\n", + "plt.axis('off')\n", + "\n", + "# The high spatial uncertainty map, i.e. the uncertainty map weighted by the local spatial measure.\n", + "# This map captures uncertainty present in patterns with high spatial measure,\n", + "# e.g. clusters of similar values for Moran's I or edges for EDS.\n", + "plt.subplot(1, 4, 3)\n", + "plt.imshow(high_measure_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.title(f'High {spatial_measure}\\nuncertainty map')\n", + "plt.axis('off')\n", + "\n", + "# The low spatial uncertainty map, i.e. the uncertainty map weighted by 1 - the local spatial measure.\n", + "# This map captures uncertainty present in patterns with low spatial measure,\n", + "# e.g. random noise for Moran's I or flat areas for EDS.\n", + "plt.subplot(1, 4, 4)\n", + "plt.imshow(low_measure_map.array, cmap='viridis', vmin=0,vmax=1)\n", + "plt.title(f'Low {spatial_measure}\\nuncertainty map')\n", + "plt.axis('off')\n", + "plt.show() " + ] } ], "metadata": { diff --git a/src/aggrigator/methods.py b/src/aggrigator/methods.py index 8374a0f..bea50da 100644 --- a/src/aggrigator/methods.py +++ b/src/aggrigator/methods.py @@ -5,8 +5,8 @@ from scipy.stats import gmean, hmean from aggrigator.util import get_id_mask, get_id_mask_boundary, get_id_mask_interior, get_fg_ratio -from aggrigator.optimized_gearys import fast_gearys_C -from aggrigator.optimized_morans import fast_morans_I +from aggrigator.spatial import fast_gearys_C +from aggrigator.spatial import fast_morans_I class AggregationMethods: @@ -351,7 +351,7 @@ def morans_I(unc_map, param=None): float Moran's I value for the uncertainty array. """ - return fast_morans_I(unc_map) + return fast_morans_I(unc_map.array) @staticmethod def gearys_C(unc_map, param=None): @@ -374,7 +374,7 @@ def gearys_C(unc_map, param=None): float Geary's C value for the uncertainty array. """ - return fast_gearys_C(unc_map) + return fast_gearys_C(unc_map.array) # ------------------------- Class Based Methods ------------------------- @@ -480,30 +480,31 @@ def class_mean_w_custom_weights(unc_map, param, return_weights=False): # param = for class_id in class_ids} # Ensure provided weights sum to 1 weight_sum = sum(weights.values()) - assert abs(weight_sum - 1.0) < 1e-6, "Weights must sum to 1." + if not abs(weight_sum - 1.0) < 1e-6: + print(f"Warning: Weights do not sum to 1. Sum is {weight_sum}. Difference: {abs(weight_sum - 1.0)}. Weights: {weights}") # Compute the weighted average if return_weights: return sum(class_means[id] * weights[id] for id in class_ids), weights return sum(class_means[id] * weights[id] for id in class_ids) - def class_mean_w_equal_weights(unc_map, param=None, return_weights=False): - # NOTE: We exclude BG class 0 - # TODO: Add inlcude BG option? - fg_classes = [class_id for class_id in unc_map.class_indices if not class_id == 0] + def class_mean_w_equal_weights(unc_map, param=False, return_weights=False): + include_background = param + # NOTE: We exclude BG class 0 if include_background is False + classes = [class_id for class_id in unc_map.class_indices if not (class_id == 0 and not include_background)] # Use equal weights for all classes - weights = {id: 1 / len(fg_classes) for id in fg_classes} + weights = {id: 1 / len(classes) for id in classes} return AggregationMethods.class_mean_w_custom_weights(unc_map, weights, return_weights) def class_mean_weighted_by_occurrence(unc_map, param=None, return_weights=False): - # NOTE: We exclude BG class 0 - # TODO: Add inlcude BG option? - fg_classes = [class_id for class_id in unc_map.class_indices if not class_id == 0] + include_background = param + # NOTE: We exclude BG class 0 if include_background is False + classes = [class_id for class_id in unc_map.class_indices if not (class_id == 0 and not include_background)] # Count class pixels class_pixel_counts = {class_id: get_id_mask(unc_map.mask, class_id).sum() - for class_id in fg_classes} + for class_id in classes} fg_pixel_count = np.sum(list(class_pixel_counts.values())) # Use weights proportional to the number of pixels in each class - weights = {id: class_pixel_counts[id] / fg_pixel_count for id in fg_classes} + weights = {id: class_pixel_counts[id] / fg_pixel_count for id in classes} return AggregationMethods.class_mean_w_custom_weights(unc_map, weights, return_weights) diff --git a/src/aggrigator/optimized_gearys.py b/src/aggrigator/optimized_gearys.py deleted file mode 100644 index 5068dc4..0000000 --- a/src/aggrigator/optimized_gearys.py +++ /dev/null @@ -1,78 +0,0 @@ -import numpy as np -from numba import jit -import libpysal - -@jit(nopython=True) -def compute_gearys_c_numba(x, weights_i, weights_j, weights_data): - """ - Compute Geary's C using Numba with weights from libpysal: - - compiles the core computation to machine code; - - eliminates Python's interpretation overhead (important for nested for loops). - """ - n = len(x) - mean = x.mean() - - # Compute denominator - denom = np.sum((x - mean) ** 2) - if denom == 0: - return 1.0 - - # Compute numerator - num = 0.0 - for idx in range(len(weights_i)): #Converts libpysal's weights matrix to three separate arrays (weights_i, weights_j, weights_data) - i = weights_i[idx] - j = weights_j[idx] - w = weights_data[idx] - num += w * ((x[i] - x[j]) ** 2) - - # Get sum of weights - s0 = np.sum(weights_data) - - # Compute Geary's C - return ((n - 1) * num) / (2 * s0 * denom) - -def fast_gearys_C(unc_map, param=None): - """ - Optimized version of Geary's C computation using libpysal weights: - - avoids recreating the weights for images of the same size using a cached version of them; - - manually implements the Geary's C formula using Numba JIT compilation; - - uses contiguous arrays and direct indexing; - results in a dramatic speed improvement compared to standard library calculations (33.4 > 0.0 sec per image 512x512). - """ - h, w = unc_map.array.shape - image_vector = unc_map.array.ravel().astype(np.float64) - - # Create or get cached weights using a shape-based key - if not hasattr(fast_gearys_C, 'weights_cache'): - fast_gearys_C.weights_cache = {} - - shape_key = (h, w) - if shape_key not in fast_gearys_C.weights_cache: - # Use libpysal's weights - w = libpysal.weights.lat2W(h, w) - - # Convert to arrays for Numba - weights_i = [] - weights_j = [] - weights_data = [] - - for i, neighbors in w.neighbors.items(): - for j in neighbors: - weights_i.append(i) - weights_j.append(j) - weights_data.append(1.0) # Binary weights - - fast_gearys_C.weights_cache[shape_key] = ( - np.array(weights_i), - np.array(weights_j), - np.array(weights_data) - ) - - weights_i, weights_j, weights_data = fast_gearys_C.weights_cache[shape_key] - - return compute_gearys_c_numba( - image_vector, - weights_i, - weights_j, - weights_data - ) diff --git a/src/aggrigator/optimized_morans.py b/src/aggrigator/optimized_morans.py deleted file mode 100644 index 82b4936..0000000 --- a/src/aggrigator/optimized_morans.py +++ /dev/null @@ -1,72 +0,0 @@ -import numpy as np -from numba import jit -import libpysal - -@jit(nopython=True) -def compute_morans_I_numba(x, weights_i, weights_j, weights_data): - """ - Compute Moran's I using Numba with libpysal weights: - - Speeds up computation by compiling core operations to machine code. - - Works with a sparse weight representation. - """ - n = len(x) - mean_x = x.mean() - - # Compute denominator - denom = np.sum((x - mean_x) ** 2) - if denom == 0: - return 1.0 # Undefined case, return neutral Moran's I - - # Compute numerator - num = 0.0 - for idx in range(len(weights_i)): - i = weights_i[idx] - j = weights_j[idx] - w = weights_data[idx] - num += w * (x[i] - mean_x) * (x[j] - mean_x) - - # Get sum of weights - s0 = np.sum(weights_data) - - # Compute Moran's I - return (n / s0) * (num / denom) - -def fast_morans_I(unc_map, param=None): - """ - Optimized Moran's I computation using libpysal weights: - - Caches weights to avoid recomputation for same image size. - - Uses Numba for accelerated computation. - - Uses a raveled 1D image vector for fast indexing. - """ - h, w = unc_map.array.shape - image_vector = unc_map.array.ravel().astype(np.float64) - - # Create or get cached weights using a shape-based key - if not hasattr(fast_morans_I, 'weights_cache'): - fast_morans_I.weights_cache = {} - - shape_key = (h, w) - if shape_key not in fast_morans_I.weights_cache: - # Generate spatial weight matrix using libpysal - w = libpysal.weights.lat2W(h, w) - - # Convert to arrays for Numba processing - weights_i, weights_j, weights_data = [], [], [] - - for i, neighbors in w.neighbors.items(): - for j in neighbors: - weights_i.append(i) - weights_j.append(j) - weights_data.append(w.weights[i][w.neighbors[i].index(j)]) # Use actual weight - - fast_morans_I.weights_cache[shape_key] = ( - np.array(weights_i), - np.array(weights_j), - np.array(weights_data) - ) - - # Retrieve cached weights - weights_i, weights_j, weights_data = fast_morans_I.weights_cache[shape_key] - - # Compute Moran's I - return compute_morans_I_numba(image_vector, weights_i, weights_j, weights_data) diff --git a/src/aggrigator/spatial.py b/src/aggrigator/spatial.py new file mode 100644 index 0000000..b773c6f --- /dev/null +++ b/src/aggrigator/spatial.py @@ -0,0 +1,237 @@ +import numpy as np +import libpysal + +from numba import jit +from scipy.ndimage import sobel + + + +@jit(nopython=True) +def compute_morans_I_numba(x, weights_i, weights_j, weights_data): + """ + Compute Moran's I using Numba with libpysal weights: + - Speeds up computation by compiling core operations to machine code. + - Works with a sparse weight representation. + """ + n = len(x) + mean_x = x.mean() + + # Compute denominator + denom = np.sum((x - mean_x) ** 2) + if denom == 0: + return 1.0 # Undefined case, return neutral Moran's I + + # Compute numerator + num = 0.0 + for idx in range(len(weights_i)): + i = weights_i[idx] + j = weights_j[idx] + w = weights_data[idx] + num += w * (x[i] - mean_x) * (x[j] - mean_x) + + # Get sum of weights + s0 = np.sum(weights_data) + + # Compute Moran's I + return (n / s0) * (num / denom) + +def fast_morans_I(array, param=None): + """ + Optimized Moran's I computation using libpysal weights: + - Caches weights to avoid recomputation for same image size. + - Uses Numba for accelerated computation. + - Uses a raveled 1D image vector for fast indexing. + """ + h, w = array.shape + image_vector = array.ravel().astype(np.float64) + + # Create or get cached weights using a shape-based key + if not hasattr(fast_morans_I, 'weights_cache'): + fast_morans_I.weights_cache = {} + + shape_key = (h, w) + if shape_key not in fast_morans_I.weights_cache: + # Generate spatial weight matrix using libpysal + w = libpysal.weights.lat2W(h, w) + + # Convert to arrays for Numba processing + weights_i, weights_j, weights_data = [], [], [] + + for i, neighbors in w.neighbors.items(): + for j in neighbors: + weights_i.append(i) + weights_j.append(j) + weights_data.append(w.weights[i][w.neighbors[i].index(j)]) # Use actual weight + + fast_morans_I.weights_cache[shape_key] = ( + np.array(weights_i), + np.array(weights_j), + np.array(weights_data) + ) + + # Retrieve cached weights + weights_i, weights_j, weights_data = fast_morans_I.weights_cache[shape_key] + + # Compute Moran's I + return compute_morans_I_numba(image_vector, weights_i, weights_j, weights_data) + + +@jit(nopython=True) +def compute_gearys_c_numba(x, weights_i, weights_j, weights_data): + """ + Compute Geary's C using Numba with weights from libpysal: + - compiles the core computation to machine code; + - eliminates Python's interpretation overhead (important for nested for loops). + """ + n = len(x) + mean = x.mean() + + # Compute denominator + denom = np.sum((x - mean) ** 2) + if denom == 0: + return 1.0 + + # Compute numerator + num = 0.0 + for idx in range(len(weights_i)): #Converts libpysal's weights matrix to three separate arrays (weights_i, weights_j, weights_data) + i = weights_i[idx] + j = weights_j[idx] + w = weights_data[idx] + num += w * ((x[i] - x[j]) ** 2) + + # Get sum of weights + s0 = np.sum(weights_data) + + # Compute Geary's C + return ((n - 1) * num) / (2 * s0 * denom) + +def fast_gearys_C(array, param=None): + """ + Optimized version of Geary's C computation using libpysal weights: + - avoids recreating the weights for images of the same size using a cached version of them; + - manually implements the Geary's C formula using Numba JIT compilation; + - uses contiguous arrays and direct indexing; + results in a dramatic speed improvement compared to standard library calculations (33.4 > 0.0 sec per image 512x512). + """ + h, w = array.shape + image_vector = array.ravel().astype(np.float64) + + # Create or get cached weights using a shape-based key + if not hasattr(fast_gearys_C, 'weights_cache'): + fast_gearys_C.weights_cache = {} + + shape_key = (h, w) + if shape_key not in fast_gearys_C.weights_cache: + # Use libpysal's weights + w = libpysal.weights.lat2W(h, w) + + # Convert to arrays for Numba + weights_i = [] + weights_j = [] + weights_data = [] + + for i, neighbors in w.neighbors.items(): + for j in neighbors: + weights_i.append(i) + weights_j.append(j) + weights_data.append(1.0) # Binary weights + + fast_gearys_C.weights_cache[shape_key] = ( + np.array(weights_i), + np.array(weights_j), + np.array(weights_data) + ) + + weights_i, weights_j, weights_data = fast_gearys_C.weights_cache[shape_key] + + return compute_gearys_c_numba( + image_vector, + weights_i, + weights_j, + weights_data + ) + + +########## LOCAL MEASURES ########## +# These methods are used to compute local spatial measures of image patches centered on each pixel. +# They are designed to return a score between 0 and 1 for each pixel. + +def local_entropy(window, param=None): + """ + Compute normalized entropy of a 2D window using histogram binning. + A value of 1 indicates maximum entropy (uniform distribution), and 0 indicates minimum entropy (all values in one bin). + By default we use 4 bins, but this can be adjusted using the `bins` key in param. + + Args: + window (np.ndarray): 2D window array. + bins (int): Number of histogram bins. + + Returns: + float: Entropy in [0, 1], representing the randomness of pixel distribution in the window. + """ + vmin, vmax = 0, 1 + + if np.isclose(vmin, vmax): + return 0.0 # No variation → zero entropy + + bins = param["bins"] if param else 4 # TODO: Default bins = 4, make this a parameter + hist, _ = np.histogram(window, bins=bins, range=(vmin, vmax), density=False) + hist = hist.astype(np.float32) + + if hist.sum() == 0: + return 0.0 + + probs = hist / hist.sum() + probs = probs[probs > 0] + entropy = -np.sum(probs * np.log2(probs)) + + return entropy / np.log2(bins) # Normalize to [0, 1] + + +def local_eds(window, param=None): + """ + Compute local edge density score (EDS) for a 2D window. + A valued of 1 indicates maximum edge density (all pixels are edges), and 0 indicates minimum edge density (no edges). + + Args: + window (np.ndarray): 2D window array. + threshold (float): Edge threshold (relative to max gradient). + + Returns: + float: EDS in [0, 1], ratio of edge pixels in the window. + """ + # Compute Sobel gradients + gx = sobel(window, axis=0, mode='reflect') + gy = sobel(window, axis=1, mode='reflect') + grad_mag = np.hypot(gx, gy) + + # # Normalize gradient (optional, makes threshold relative) + # max_val = grad_mag.max() + # if max_val == 0: + # return 0.0 # flat window, no edges + + # grad_mag /= max_val + + # Threshold to detect edges + threshold = param["threshold"] if param else 0.2 + edge_pixels = grad_mag > threshold + + # Compute density + eds = np.sum(edge_pixels) / edge_pixels.size + return eds + +def local_moran(window, param=None): + """ + Compute local Moran's I score for a 2D array. + A value of 1 indicates maximum spatial autocorrelation (clustering), and 0 indicates minimum spatial autocorrelation (random noise). + Moran'S I can also be negative (up to -1, where -1 indicates perfect negative spatial autocorrelation, i.e. checkerboard-like pattern). + We cap negative values to 0 to ensure a measure between 0 and 1. + + Args: + window (np.ndarray): 2D window patch. + param (dict): Optional parameters. + + Returns: + float: Moran's I score in [0, 1]. + """ + return max(0, fast_morans_I(window)) \ No newline at end of file diff --git a/src/aggrigator/spatial_decomposition.py b/src/aggrigator/spatial_decomposition.py new file mode 100644 index 0000000..aa42150 --- /dev/null +++ b/src/aggrigator/spatial_decomposition.py @@ -0,0 +1,166 @@ +import numpy as np + +from scipy.ndimage import sobel +from skimage.util import view_as_windows + +from aggrigator.uncertainty_maps import UncertaintyMap +from aggrigator.spatial import fast_morans_I + + + +def entropy_map_sliding_window(array, window_size=3, param=None): + """ + Computes local entropy at each pixel using a sliding window, fully vectorized. + + Args: + array (np.ndarray): 2D array with values in [0, 1]. + window_size (int): Window size. + bins (int): Number of bins for histogram. + + Returns: + np.ndarray: 2D entropy map, values in [0, 1] + """ + pad = window_size // 2 + padded = np.pad(array, pad, mode='reflect') + + # shape: (H, W, w, w) + windows = view_as_windows(padded, (window_size, window_size)) + H, W, _, _ = windows.shape + flattened = windows.reshape(H * W, -1) # shape: (N, window_size^2) + + # Compute histograms for each window + try: + bins = param["bins"] + except: + bins = 4 + bin_edges = np.linspace(0, 1, bins + 1) + hist = np.apply_along_axis( + lambda row: np.histogram(row, bins=bin_edges, density=False)[0], + axis=1, + arr=flattened + ) # shape: (N, bins) + + hist = hist.astype(np.float32) + hist_sum = hist.sum(axis=1, keepdims=True) + nonzero_mask = hist_sum > 0 + probs = np.zeros_like(hist) + probs[nonzero_mask.squeeze()] = hist[nonzero_mask.squeeze()] / hist_sum[nonzero_mask].reshape(-1, 1) + + # Compute entropy + entropy = -np.sum(probs * np.log2(probs + 1e-12), axis=1) + entropy /= np.log2(bins) # Normalize to [0,1] + + # Reshape back to array + return entropy.reshape(H, W) + + +def eds_map_sliding_window(array, window_size=3, param=None): + """ + Vectorized version of local_eds: compute edge density per sliding window (matching pixelwise logic). + """ + assert array.ndim == 2, "Input must be 2D" + pad = window_size // 2 + padded = np.pad(array, pad, mode='reflect') + windows = view_as_windows(padded, (window_size, window_size)) + H, W, _, _ = windows.shape + flat_windows = windows.reshape(-1, window_size, window_size) # shape: (H*W, w, w) + + # Compute Sobel gradients per window + gx = np.array([sobel(w, axis=0, mode='reflect') for w in flat_windows]) + gy = np.array([sobel(w, axis=1, mode='reflect') for w in flat_windows]) + grad_mag = np.hypot(gx, gy) + + # Apply threshold + try: + threshold = param["threshold"] + except: + threshold = 0.2 + edge_pixels = grad_mag > threshold + eds = edge_pixels.sum(axis=(1, 2)) / (window_size * window_size) + + return eds.reshape(H, W) + + +def moran_map_sliding_window(array, window_size=3, param=None): + """ + Computes a local Moran's I map using the fast_morans_I method for each sliding window. + + Args: + array (np.ndarray): 2D input array. + window_size (int): Size of the local window (odd integer, e.g. 3, 5, 7). + + Returns: + np.ndarray: 2D array of same shape with local Moran's I values (clipped to [0, 1]). + """ + assert array.ndim == 2, "Input array must be 2D" + pad = window_size // 2 + padded = np.pad(array, pad, mode='reflect') + + H, W = array.shape + output = np.zeros_like(array, dtype=np.float32) + + for y in range(H): + for x in range(W): + patch = padded[y:y + window_size, x:x + window_size] + output[y, x] = max(0, fast_morans_I(patch)) + + return output + + +def spatial_decomposition(unc_map, window_size, spatial_measure, param=None): + """ + Perform spatial decomposition of an uncertainty map using a specified local spatial measure. + + This method computes a spatial weighting map over the input uncertainty map based on a + local spatial measure (e.g., edge density, entropy, or Moran's I). The uncertainty map + is then decomposed into two components: + + - A "high spatial coherence" map, where each pixel is weighted by the spatial measure value. + - A complementary "low spatial coherence" map, weighted by (1 - measure value). + + The decomposition allows analysis of how much uncertainty mass is concentrated in spatially + coherent vs. incoherent regions. + + Args: + unc_map (UncertaintyMap): Input uncertainty map (must have `.array` and `.mask` attributes). + window_size (int): Size of the local window (odd integer, e.g., 3 or 5) used to compute spatial measures. + spatial_measure (str): One of {"eds", "moran", "entropy"} indicating the spatial weighting function. + param (dict, optional): Optional parameters passed to the spatial measure function (e.g., thresholds, bins). + + Returns: + tuple: + - UncertaintyMap: Weighted map using the spatial measure (high-coherence component). + - UncertaintyMap: Inverse-weighted map (low-coherence component). + - np.ndarray: 2D weight map with values in [0, 1] representing local spatial coherence. + - float: Mass ratio = (sum of weighted uncertainty) / (sum of total uncertainty). + + Raises: + ValueError: If an invalid spatial_measure name is given. + """ + + # Map spatial measure name to function + spatial_funcs = { + 'eds': eds_map_sliding_window, + 'moran': moran_map_sliding_window, + 'entropy': entropy_map_sliding_window + } + + if spatial_measure not in spatial_funcs.keys(): + raise ValueError(f"Invalid spatial measure: {spatial_measure}") + + # Compute local spatial measure array + weight_map = spatial_funcs[spatial_measure](unc_map.array, window_size, param) + + # Decomposition of uncertainty map by weighted spatial measure + weighted = unc_map.array * weight_map + inv_weighted = unc_map.array * (1 - weight_map) + + # Uncertainty mass ratio + ratio = np.sum(weighted) / np.sum(unc_map.array) + + return ( + UncertaintyMap(array=weighted, mask=unc_map.mask, name=f"high_{spatial_measure}_filter_size_{window_size}"), + UncertaintyMap(array=inv_weighted, mask=unc_map.mask, name=f"low_{spatial_measure}_filter_size_{window_size}"), + weight_map, + ratio + ) diff --git a/tests/test_methods.py b/tests/test_methods.py index f21dc0e..3deb0a9 100644 --- a/tests/test_methods.py +++ b/tests/test_methods.py @@ -5,7 +5,6 @@ from aggrigator.util import get_fg_ratio from aggrigator.methods import AggregationMethods as am from aggrigator.uncertainty_maps import UncertaintyMap -from aggrigator.datasets import generate_binary_quadrant_array class TestImageLevelMethods(unittest.TestCase): def setUp(self): @@ -73,43 +72,6 @@ def test_patch_aggregation(self): result = am.patch_aggregation(self.unc_map_2d, 4) self.assertEqual(result, 2.5) - -class TestSpatialCorrelationMethods(unittest.TestCase): - def setUp(self): - N = 100 - random_array = np.random.random((N, N)) - checkerboard_array = np.indices((N, N)).sum(axis=0) % 2 - clustered_array = generate_binary_quadrant_array(N) - self.random_uc_map = UncertaintyMap(array=random_array, mask=None, name="") - self.checkerboard_uc_map = UncertaintyMap(array=checkerboard_array, mask=None, name="") - self.clustered_uc_map = UncertaintyMap(array=clustered_array, mask=None, name="") - - def test_morans_I(self): - ''' - I > 0 → Positive spatial autocorrelation (clusters of similar intensity) - I < 0 → Negative autocorrelation (checkerboard-like pattern) - I ≈ 0 → No spatial correlation (random noise) - ''' - result = am.morans_I(self.random_uc_map) - self.assertAlmostEqual(result, 0.0, places=1) - result = am.morans_I(self.checkerboard_uc_map) - self.assertAlmostEqual(result, -1.0, places=1) - result = am.morans_I(self.clustered_uc_map) - self.assertAlmostEqual(result, 0.98, places=1) - - def test_gearys_C(self): - ''' - C=1 → No spatial autocorrelation (random pattern). - C<1 → Positive spatial autocorrelation (clusters of similar values). - C>1 → Negative spatial autocorrelation (checkerboard-like pattern). - ''' - result = am.gearys_C(self.random_uc_map) - self.assertAlmostEqual(result, 1.0, places=1) - result = am.gearys_C(self.checkerboard_uc_map) - self.assertAlmostEqual(result, 2.0, places=1) - result = am.gearys_C(self.clustered_uc_map) - self.assertAlmostEqual(result, 0.0, places=1) - class TestClassLevelMethods(unittest.TestCase): def setUp(self): self.unc_values = np.array([ @@ -225,15 +187,27 @@ def setUp(self): self.unc_map = UncertaintyMap(array=self.unc_values, mask=self.mask, name=self.name) def test_class_mean_w_equal_weights(self): - result = am.class_mean_w_equal_weights(self.unc_map) + include_background = False # Exclude background + result = am.class_mean_w_equal_weights(self.unc_map, include_background) expected = 0.8 * 0.5 + 2.4 *0.5 self.assertEqual(result, expected) + include_background = True # Include background + result = am.class_mean_w_equal_weights(self.unc_map, include_background) + expected = 0.8 * 1/3 + 2.4 * 1/3 + 0 * 1/3 + self.assertEqual(result, expected) + def test_class_mean_weighted_by_occurrence(self): - result = am.class_mean_weighted_by_occurrence(self.unc_map) + include_background = False # Exclude background + result = am.class_mean_weighted_by_occurrence(self.unc_map, include_background) expected = 0.8 * 9/17 + 2.4 * 8/17 self.assertEqual(result, expected) + include_background = True # Include background + result = am.class_mean_weighted_by_occurrence(self.unc_map, include_background) + expected = 0.8 * 9/25 + 2.4 * 8/25 + 0 * 8/25 + self.assertEqual(result, expected) + def test_class_mean_w_custom_weights(self): weights = {1: 0.3, 2: 0.7} result = am.class_mean_w_custom_weights(self.unc_map, weights) diff --git a/tests/test_spatial.py b/tests/test_spatial.py new file mode 100644 index 0000000..ddb779b --- /dev/null +++ b/tests/test_spatial.py @@ -0,0 +1,146 @@ +import unittest +import numpy as np + +from aggrigator.spatial import local_entropy, local_eds, local_moran, fast_morans_I +from aggrigator.spatial_decomposition import spatial_decomposition +from aggrigator.datasets import generate_binary_quadrant_array +from aggrigator.methods import AggregationMethods as am +from aggrigator.uncertainty_maps import UncertaintyMap + +np.random.seed(123) + + +class TestSpatialCorrelationMethods(unittest.TestCase): + def setUp(self): + N = 100 + random_array = np.random.random((N, N)) + checkerboard_array = np.indices((N, N)).sum(axis=0) % 2 + clustered_array = generate_binary_quadrant_array(N) + self.random_uc_map = UncertaintyMap(array=random_array, mask=None, name="") + self.checkerboard_uc_map = UncertaintyMap(array=checkerboard_array, mask=None, name="") + self.clustered_uc_map = UncertaintyMap(array=clustered_array, mask=None, name="") + + def test_morans_I(self): + ''' + I > 0 → Positive spatial autocorrelation (clusters of similar intensity) + I < 0 → Negative autocorrelation (checkerboard-like pattern) + I ≈ 0 → No spatial correlation (random noise) + ''' + result = am.morans_I(self.random_uc_map) + self.assertAlmostEqual(result, 0.0, places=1) + result = am.morans_I(self.checkerboard_uc_map) + self.assertAlmostEqual(result, -1.0, places=1) + result = am.morans_I(self.clustered_uc_map) + self.assertAlmostEqual(result, 0.98, places=1) + + def test_gearys_C(self): + ''' + C=1 → No spatial autocorrelation (random pattern). + C<1 → Positive spatial autocorrelation (clusters of similar values). + C>1 → Negative spatial autocorrelation (checkerboard-like pattern). + ''' + result = am.gearys_C(self.random_uc_map) + self.assertAlmostEqual(result, 1.0, places=1) + result = am.gearys_C(self.checkerboard_uc_map) + self.assertAlmostEqual(result, 2.0, places=1) + result = am.gearys_C(self.clustered_uc_map) + self.assertAlmostEqual(result, 0.0, places=1) + + +class TestLocalSpatialMeasures(unittest.TestCase): + def setUp(self): + # Create example windows for testing + self.uniform_window = np.ones((5, 5)) # All same values → entropy = 0 + self.checkerboard_window = np.array([[0, 1, 0, 1, 0], + [1, 0, 1, 0, 1], + [0, 1, 0, 1, 0], + [1, 0, 1, 0, 1], + [0, 1, 0, 1, 0]]) + self.all_bins_window = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], + [0.3, 0.3, 0.3, 0.3, 0.3], + [0.5, 0.5, 0.5, 0.5, 0.5], + [0.7, 0.7, 0.7, 0.7, 0.7], + [0.9, 0.9, 0.9, 0.9, 0.9]]) + self.random_window = np.random.rand(5, 5) # High entropy expected + self.edge_window = np.zeros((5, 5)) + self.edge_window[2:] = 1 # Sharp horizontal edge + + # ENTROPY + def test_local_entropy_uniform(self): + result = local_entropy(self.uniform_window) + self.assertAlmostEqual(result, 0.0, msg="Entropy of uniform window should be 0") + + def test_local_entropy_random(self): + result = local_entropy(self.random_window) + self.assertGreater(result, 0.5, msg="Entropy of random window should be high") + + def test_local_entropy_bins(self): + result = local_entropy(self.all_bins_window, {"bins": 5}) + self.assertAlmostEqual(result, 1.0, msg="Entropy of uniform window should be 1") + + # EDGE DENSITY SCORE + def test_local_eds_no_edges(self): + result = local_eds(self.uniform_window) + self.assertAlmostEqual(result, 0.0, msg="EDS of flat window should be 0") + + def test_local_eds_edge_present(self): + result = local_eds(self.edge_window, {"threshold": 0.1}) + self.assertGreater(result, 0.0, msg="EDS should detect edges") + + # MORAN'S I + def test_local_moran_random(self): + result = local_moran(self.random_window) + self.assertAlmostEqual(result, 0.0, msg="Moran's I of random window should be 0") + + def test_local_moran_uniform(self): + result = local_moran(self.uniform_window) + self.assertAlmostEqual(result, 1.0, msg="Moran's I of uniform window should be 1") + + def test_local_moran_checkerboard(self): + true_morans = fast_morans_I(self.checkerboard_window) + self.assertAlmostEqual(true_morans, -1.0, msg="Actual Moran's I of checkerboard window should be -1") + adapted_morans = local_moran(self.checkerboard_window) + self.assertAlmostEqual(adapted_morans, 0.0, msg="Adapted Moran's I of checkerboard window should be 0") + + +class TestSpatialDecomposition(unittest.TestCase): + def setUp(self): + N = 100 + random_array = np.random.random((N, N)) + checkerboard_array = np.indices((N, N)).sum(axis=0) % 2 + clustered_array = generate_binary_quadrant_array(N) + edge_array = np.zeros((N, N)) + edge_array[2:4] = 1 + self.random_uc_map = UncertaintyMap(array=random_array, mask=None, name="") + self.checkerboard_uc_map = UncertaintyMap(array=checkerboard_array, mask=None, name="") + self.clustered_uc_map = UncertaintyMap(array=clustered_array, mask=None, name="") + self.edge_uc_map = UncertaintyMap(array=edge_array, mask=None, name="") + + def test_moran(self): + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.random_uc_map, window_size=3, spatial_measure="moran") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.0, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.checkerboard_uc_map, window_size=3, spatial_measure="moran") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.0, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.clustered_uc_map, window_size=3, spatial_measure="moran") + self.assertAlmostEqual(high_spatial_mass_ratio, 1.0, places=1) + + + def test_eds(self): + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.random_uc_map, window_size=3, spatial_measure="eds") + self.assertAlmostEqual(high_spatial_mass_ratio, 1.0, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.edge_uc_map, window_size=3, spatial_measure="eds") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.7, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.clustered_uc_map, window_size=3, spatial_measure="eds") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.0, places=1) + + def test_entropy(self): + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.random_uc_map, window_size=3, spatial_measure="entropy") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.9, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.checkerboard_uc_map, window_size=3, spatial_measure="entropy") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.5, places=1) + _, _, _, high_spatial_mass_ratio = spatial_decomposition(self.clustered_uc_map, window_size=3, spatial_measure="entropy") + self.assertAlmostEqual(high_spatial_mass_ratio, 0.0, places=1) + + +if __name__ == "__main__": + unittest.main()