{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Inspecting training data \n", "\n", "* **[Sign up to the DEA Sandbox](https://app.sandbox.dea.ga.gov.au/)** to run this notebook interactively from a browser\n", "* **Compatibility:** Notebook currently compatible with the `DEA Sandbox` environment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Background\n", "\n", "Prior to training a machine learning classifier, it can be useful to understand which of our feature layers are most useful for distinguishing between classes. The feature layers the model is trained on form the **knowledge base** of the algorithm. We can explore this knowledge base using class-specific [violin plots](https://en.wikipedia.org/wiki/Violin_plot#:~:text=A%20violin%20plot%20is%20a,by%20a%20kernel%20density%20estimator.), and through a dimensionality reduction approach called [principal component analysis](https://builtin.com/data-science/step-step-explanation-principal-component-analysis). The latter transforms our large dataset with lots of variables into a smaller dataset with fewer variables (while still preserving much of the variance), this allows us to visualise a very complex dataset in a relatively intuitive and straightforward manner. \n", "\n", "By exploring our training data we can learn more about the land cover classes we are interested in mapping (e.g is NDVI a good way to distinguish between crop and non-crop areas?), decide if we have enough training data and the right features for our models to be able to accurately map the classes (are there distinct differences in the feature layers values between classes?), and postion ourselves to be able to improve the model should the results be unsatisfactory (what kinds of features can we discard that might be confusing the model?).\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Description\n", "\n", "Using the training data written to file in the previous notebook, [1_Extract_training_data](1_Extract_training_data.ipynb), this notebook will:\n", "\n", "1. Plot class-specific violin plots for each of the feature layers in the training data\n", "2. Plot the importance of each feature after applying a model to the data.\n", "3. Calculate the first two and three prinicpal components of the dataset and plot them as 2D and 3D scatter plots\n", "\n", "---\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Getting started\n", "\n", "To run this analysis, run all the cells in the notebook, starting with the \"Load packages\" cell. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load packages" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import random\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "from pprint import pprint\n", "import matplotlib.pyplot as plt\n", "from matplotlib.patches import Patch\n", "from sklearn.decomposition import PCA\n", "from mpl_toolkits.mplot3d import Axes3D\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analysis Parameters\n", "\n", "* `training_data`: Name and location of the training data `.txt` file output from runnning `1_Extract_training_data.ipynb`\n", "* `class_dict`: A dictionary mapping the 'string' name of the classes to the integer values that represent our classes in the training data (e.g. `{'crop': 1., 'noncrop': 0.}`)\n", "* `field`: This is the name of the column in the original training data shapefile that contains the class labels. This is provided simply so we can remove this attribute before we plot the data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "training_data = \"results/test_training_data.txt\"\n", "\n", "class_dict = {'crop': 1, 'noncrop': 0}\n", "\n", "field = 'class'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Import training data\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# load the data\n", "model_input = np.loadtxt(training_data)\n", "\n", "# load the column_names\n", "with open(training_data, 'r') as file:\n", " header = file.readline()\n", "\n", "column_names = header.split()[1:]\n", "\n", "# Extract relevant indices from training data\n", "model_col_indices = [\n", " column_names.index(var_name) for var_name in column_names[1:]\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Wrangling\n", "\n", "This cell extracts each class in the training data array and assigns it to a dictionary, this step will allow for cleanly plotting our data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "crop 1\n", "noncrop 0\n" ] } ], "source": [ "dfs = {}\n", "\n", "# Insert data into a Pandas DataFrame, then split into features and labels\n", "model_input_df = pd.DataFrame(model_input, columns=column_names)\n", "X = model_input_df.drop(field, axis=1)\n", "y = model_input_df[[field]]\n", "\n", "# Fit the standard scaler to all features\n", "scaler = StandardScaler(with_mean=False)\n", "scaler.fit(X);\n", "\n", "for key, value in class_dict.items():\n", " print(key, value)\n", " # extract values for class from training data\n", " arr = model_input[model_input[:,0]==value]\n", " # create a pandas df for ease of use later\n", " df = pd.DataFrame(arr).rename(columns={i:column_names[i] for i in range(0,len(column_names))}).drop(field, axis=1)\n", " # Scale the dataframe\n", " scaled_df = scaler.transform(df)\n", " scaled_df = pd.DataFrame(scaled_df, columns=df.columns)\n", " \n", " dfs.update({key:scaled_df})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature layer violin plots" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Generate a random list of colors same length as num of classes\n", "get_colors = lambda n: list(\n", " map(lambda i: \"#\" + \"%06x\" % random.randint(0, 0xFFFFFF), range(n)))\n", "colors = get_colors(len(dfs))\n", "\n", "# Generate list of offsets & widths for plotting\n", "start = -0.2\n", "end = 0.2\n", "offsets = list(np.linspace(start, end, len(dfs)))\n", "if len(dfs) == 2:\n", " width = 0.4\n", "else:\n", " width = np.abs(offsets[0] - offsets[1])\n", "\n", "# Create figure and axes\n", "fig, ax = plt.subplots(figsize=(40, 8))\n", "\n", "for key, color, offset in zip(dfs, colors, offsets):\n", " # Create violin plots\n", " pp = ax.violinplot(dfs[key].values,\n", " showmedians=True,\n", " positions=np.arange(dfs[key].values.shape[1]) + offset,\n", " widths=width)\n", " # Change the colour of the plots\n", " for pc in pp['bodies']:\n", " pc.set_facecolor(color)\n", " pc.set_edgecolor(color)\n", " pc.set_alpha(1)\n", "\n", " # Change the line style in the plots\n", " for partname in ('cbars', 'cmins', 'cmaxes', 'cmedians'):\n", " vp = pp[partname]\n", " vp.set_edgecolor('black')\n", " vp.set_linewidth(1)\n", "\n", "# Tidy the plot, add a title and legend\n", "ax.set_xticks(np.arange(len(column_names[1:])))\n", "ax.set_xticklabels(column_names[1:])\n", "ax.set_xlim(-0.5, len(column_names[1:]) - .5)\n", "ax.set_ylabel(\"Scaled Values\", fontsize=16)\n", "ax.set_xlabel(\"Feature Layers\", fontsize=16)\n", "ax.tick_params(axis='both', which='major', labelsize=16)\n", "ax.set_title(\"Training Data Knowledge-Base\", fontsize=16)\n", "ax.legend([Patch(facecolor=c) for c in colors], [key for key in dfs],\n", " loc='upper right',\n", " fontsize=16);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, a number of our features show good separation between the crop and non-crop classes. For example, the blue, green, nir, sdev, edev, and PV_PV_90 features all have very different distributions between the classes. This is a good indication that our model will possess the right features for distinguishing between crop and non-crop later on in the workflow." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Feature Importance\n", "\n", "Here we extract classifier estimates of the relative importance of each feature for training the classifier. This is useful for potentially selecting a subset of input bands/variables for model training/classification (i.e. optimising feature space). However, in this case, we are not selecting a subset of features, but rather just trying to understand the importance of each feature. This can help us not only understand our classes better (e.g. what kinds of measurements are indicative of cropland areas), but can also lead to further improvements to the model. \n", "\n", "Sklearn has good documentation on different methods for [feature selection](https://scikit-learn.org/stable/modules/feature_selection.html).\n", "\n", "Results will be presented in ascending order with the most important features listed last. Importance is reported as a relative fraction between 0 and 1. These importances are based on how much a given feature, on average, decreases the weighted Gini impurity.\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "model=RandomForestClassifier(random_state=42)\n", "model.fit(X, y.values.ravel());" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "order = np.argsort(model.feature_importances_)\n", "\n", "plt.figure(figsize=(15, 5))\n", "plt.bar(x=np.array(column_names[1:])[order],\n", " height=model.feature_importances_[order])\n", "plt.gca().set_ylabel('Importance', labelpad=10)\n", "plt.gca().set_xlabel('Feature', labelpad=10)\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "According to the the feature importance method of the `RandomForestClassifier` we fitted to our data, the bands `edev`, `bcdev`, `blue`, and `sdev` are our most important features for discriminating between crop and non-crop samples.\n", "\n", "It is important to note the difference here between classes with good feature seperability, as observed in the violin plots, and feature importance for the classifier, as estimated above. The violin plots display a class's distribution with respect to a particular remote sensing variable or statistic, and this distrbution will likely be related to the biophysical properties of the class being observed (e.g. NDVI values for vegetation are related to the presence or absence of chlorophyll, and the cell structure of plants). Whereas, a classifier's estimate of feature importance is related to how much a given feature reduces the entropy of a dataset during the creation of the decision trees, which may not directly correlate with good separations in the violin plots.\n", "\n", "In short, be careful not to draw too many inferences about the biophysical properties of a class based on feature importances. Instead, these kinds of plots are useful for understanding the model you're producing." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Principal Component Analysis\n", "\n", "The code below will calculate and plot the first two principal components of our training dataset. This will transform our dataset with lots of variables (16 features) into a dataset with fewer variables, this allows us to visualise our dataset in a relatively intuitive and straightforward manner.\n", "\n", "The first step is to standardise our data to express each feature layer in terms of mean and standard deviation. This is necessary because principal component analysis is quite sensitive to the variances of the initial variables. If there are large differences between the ranges of initial variables, those variables with larger ranges will dominate over those with small ranges (For example, a variable that ranges between 0 and 100 will dominate over a variable that ranges between 0 and 1), which will lead to biased results. So, transforming the data to comparable scales can prevent this problem. We do this using sklearn's `StandardScalar` function which will normalise the values in an array to the array's mean and standard deviation via the formula: \n", "\n", "\\begin{align*}\n", "z = \\frac{x-u}{s}\n", "\\end{align*}\n", "\n", "where $u$ is the mean and $s$ is the standard deviation." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Compute the mean and variance for each feature\n", "X_scaled = scaler.transform(X)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conduct the PCAs" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Two components\n", "pca2 = PCA(n_components=2)\n", "pca2_fit = pca2.fit_transform(X_scaled)\n", "# Three PCA components\n", "pca3 = PCA(n_components=3)\n", "pca3_fit = pca3.fit_transform(X_scaled)\n", "\n", "# Add back to df\n", "pca2_df = pd.DataFrame(data=pca2_fit, columns=['PC1', 'PC2'])\n", "pca3_df = pd.DataFrame(data=pca3_fit, columns=['PC1', 'PC2', 'PC3'])\n", "\n", "# Concat with classes\n", "result2 = pd.concat(\n", " [pca2_df, pd.DataFrame({'class': model_input[:, 0]})], axis=1)\n", "result3 = pd.concat(\n", " [pca3_df, pd.DataFrame({'class': model_input[:, 0]})], axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can print the amount of variance explained by the two- and three-component PCAs." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Variance explained by two principal components = 74.88 %\n", "Variance explained by three principal components = 83.29 %\n" ] } ], "source": [ "a2, b2 = pca2.explained_variance_ratio_\n", "a3, b3, c3 = pca3.explained_variance_ratio_\n", "print(\"Variance explained by two principal components = \" +\n", " str(round((a2 + b2) * 100, 2)) + \" %\")\n", "print(\"Variance explained by three principal components = \" +\n", " str(round((a3 + b3 + c3) * 100, 2)) + \" %\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Plot both 2 & 3 principal components\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12, 6))\n", "fig.suptitle('Training data: Principal Component Analysis', fontsize=14)\n", "\n", "# First subplot\n", "ax = fig.add_subplot(1, 2, 1)\n", "scatter1 = sns.scatterplot(x=\"PC1\",\n", " y=\"PC2\",\n", " data=result2,\n", " hue='class',\n", " hue_norm=tuple(np.unique(result2['class'])),\n", " palette='viridis',\n", " legend=False,\n", " alpha=0.5,\n", " ax=ax)\n", "\n", "ax.set_title('Two Principal Components', fontsize=14)\n", "ax.grid(True)\n", "\n", "# Second subplot\n", "ax = fig.add_subplot(1, 2, 2, projection='3d')\n", "scatter2 = ax.scatter(result3['PC1'],\n", " result3['PC2'],\n", " result3['PC3'],\n", " c=result3['class'],\n", " s=60,\n", " alpha=0.5)\n", "\n", "# Make simple, bare axis lines through space:\n", "xAxisLine = ((min(result3['PC1']), max(result3['PC1'])), (0, 0), (0, 0))\n", "ax.plot(xAxisLine[0], xAxisLine[1], xAxisLine[2], 'r')\n", "yAxisLine = ((0, 0), (min(result3['PC2']), max(result3['PC2'])), (0, 0))\n", "ax.plot(yAxisLine[0], yAxisLine[1], yAxisLine[2], 'r')\n", "zAxisLine = ((0, 0), (0, 0), (min(result3['PC3']), max(result3['PC3'])))\n", "ax.plot(zAxisLine[0], zAxisLine[1], zAxisLine[2], 'r')\n", "\n", "ax.set_title('Three Principal Components', fontsize=14)\n", "ax.set_xlabel(\"PC1\")\n", "ax.set_ylabel(\"PC2\")\n", "ax.set_zlabel(\"PC3\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The purpose of this notebook was to inspect our training data to determine its appropriateness for classifying cropland areas. The excellent separation between our two datasets shown in the violin and PCA plots above suggests we have enough training data and the right feature layers to proceed with our classification problem." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Recommended next steps\n", "\n", "To continue working through the notebooks in this `Scalable Machine Learning on the ODC` workflow, go to the next notebook `3_Train_fit_evaluate_classifier.ipynb`.\n", "\n", "1. [Extracting training data from the ODC](1_Extract_training_data.ipynb) \n", "2. **Inspecting training data (this notebook)**\n", "3. [Evaluate, optimize, and fit a classifier](3_Evaluate_optimize_fit_classifier.ipynb)\n", "4. [Classifying satellite data](4_Classify_satellite_data.ipynb)\n", "5. [Object-based filtering of pixel classifications](5_Object-based_filtering.ipynb)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***\n", "\n", "## Additional information\n", "\n", "**License:** The code in this notebook is licensed under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0). \n", "Digital Earth Australia data is licensed under the [Creative Commons by Attribution 4.0](https://creativecommons.org/licenses/by/4.0/) license.\n", "\n", "**Contact:** If you need assistance, please post a question on the [Open Data Cube Slack channel](http://slack.opendatacube.org/) or on the [GIS Stack Exchange](https://gis.stackexchange.com/questions/ask?tags=open-data-cube) using the `open-data-cube` tag (you can view previously asked questions [here](https://gis.stackexchange.com/questions/tagged/open-data-cube)).\n", "If you would like to report an issue with this notebook, you can file one on [GitHub](https://github.com/GeoscienceAustralia/dea-notebooks).\n", "\n", "**Last modified:** December 2023\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tags\n", "" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "**Tags**: :index:`principal component analysis`, :index:`violin plots`, :index:`machine learning`, :index:`feature importance`" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }