{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Local Multi-Variable Moran Statistics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Local Moran statistics are very useful to assess spatial clusters (or outliers) in geographic data. Moran-style statistics are fundamentally based on the *covariance* of an outcome $y_i$ with other observations $y_j$, weighted according to some function that describes how near $i$ is to $j$. Classically, we describe that weight as $w_{ij}$, and collect that into a big matrix, $\\mathbf{W}$, that describes the relations between each site and every other site. \n", "\n", "The following discussion is a significantly condensed presentation of that found in [Wolf (2024)](https://doi.org/10.1080/24694452.2024.2326541) pages 1217-1225. \n", "\n", "The classical Moran statistic is stated as the relationship between $y$ and its surroundings. I'm assuming that $y$ is unit standardized, so that it has a mean of zero and a standard deviation of 1. Further, I'm assuming that our weights matrix is row-standardized with a diagonal of zero, meaning that $\\sum_j w_{ij} =1$ and $w_{ii}=0$. Further, this means that $\\sum_j w_{ij}y_j$ corresponds to the *spatially-weighted average* $y_j$ around $i$. With this understanding, the global $\\hat{I}$ estimator is often stated as: \n", "\n", "$$ \\hat{I} = \\frac{1}{n} \\sum_i y_i \\sum_j w_{ij}y_j $$\n", "\n", "You can understand this also as a kind of least squares estimator, arising from the following regression: \n", "\n", "$$ \\mathbf{W}y = Iy + \\epsilon \\ \\ \\ \\ \\ \\epsilon \\sim \\mathcal{N}(0,\\sigma^2) $$\n", "\n", "In this framing, we can think of the $I$ statistic in vector form as: \n", "\n", "$$ \\hat{I} = (y'y)^{-1}y'\\mathbf{W}y $$\n", "\n", "with the standardization we've used above. The *local* version of this statistic simply \"stops\" the outer summation over $i$, resulting in $n$ statistics overall:\n", "\n", "$$ \\hat{I}_i = \\frac{1}{n} y_i \\sum_j w_{ij} y_j $$\n", "\n", "This is equivalent to \"stopping\" the inner product between $y$ and $\\mathbf{W}y$ in the vector form, turning it into an element-wise product (spelled $\\circ$ in math below):\n", "\n", "$$ \\hat{I}_i = (y'y)^{-1}(y \\circ \\mathbf{W}y)$$\n", "\n", "This \"incomplete summation\" or \"inner-to-elementwise trick\" is how most of the local statistics are obtained from a global measure of covariance-based association. Any time you take an operation relating all pairs of observations, and sum that (or average that) over all the observations, you can create a \"local\" measure by just stopping that summation. \n", "\n", "## How do we introduce another variables? \n", "\n", "Often, it's useful to account for the spatial co-variation between two variables. Indeed, a common question is whether the *spatial pattern* of $y$ is similar to that of a second variable, $x$. Past attempts to link two variables like this include the Wartenberg statistic:\n", "\n", "$$ \\hat{I}_{xy,i} = x_i \\sum_j w_{ij}y_j $$\n", "$$ \\hat{\\mathbf{I}}_{xy} = x \\circ \\mathbf{W}y $$\n", "\n", "which relates $x_i$ to the local average of $y_j$ nearby. This is useful because it tells you whether a smoothed surface of $y$ looks like the surface of $x$. Perhaps less useful is the Lee (2001) innovation on the statistic, which seeks to compare the two smoothed patterns: \n", "\n", "$$ \\hat{L}_i = (\\sum_j w_{ij}x_j) * (\\sum_j w_{ij}y_j) $$\n", "$$ \\hat{\\mathbf{L}} = (\\mathbf{W}x) \\circ (\\mathbf{W}y) $$\n", "\n", "Both of these statistics are useful in their own ways, but generally are not able to separate out $x$'s influence on $y$ from $y$'s internal patterning over $\\mathbf{W}$. Instead, we're stuck making pairwise comparisons across $x$ and $y$ through $\\mathbf{W}$. \n", "\n", "## How can we introduce another *exogenous* variable? \n", "\n", "Indeed, it's often the case that $x$ represents some other factor we know is associated with $y$, but which cannot wholly explain $y$. When we just need a global statistic characterizing this relationship, the best solution is to use a spatial model, such as the spatial lag or spatial error models in `spreg`. Creating a local statistic from these models is difficult. Indeed, these models cannot be solved using ordinary least squares, so their non-linear matrix product cannot be \"stopped\" in the same way as above to create to an element-wise product. While LeSage (2009)'s tools can be used to examine the direct and indirect components of $\\beta$, which measure the effect that an intervention on $x$ at a given site at the site of the intervention on average (or, for indirect effects, *surrounding the intervention*), this is not itself a measure of the covariance between $x$ and $y$, nor can it measure the self-similarity of $y$ over $\\mathbf{W}$.\n", "\n", "Instead, what we often want is to \"remove\" or \"control\" for $x$. This \"adjusts\" $y$ for $x$, and then we can see the spatial pattern in this adjusted $y$. Think, for instance, of spatial clustering in house prices given information on house size. House size is decidedly spatially non-random and also impacts the sale price of a house. While we could develop a price-per-square-foot variable that reflects an adjustment to the house price based on the house size, this cannot scale to multiple factors. \n", "\n", "Another common approach is to to \"remove\" $x$ from $y$ using a regression. We regress $x$ on $y$ and analyze this model's residuals as if it they were our outcome of interest. That is, we do the first regression: \n", "\n", "$$ y = x\\beta + \\epsilon $$\n", "\n", "using a standard least squares estimator: \n", "\n", "$$ \\hat{\\beta} = (x'x)^{-1}x'y $$\n", "\n", "And use that to build a *residual* $y$, having removed its association with $x$: \n", "\n", "$$ e = y - x (x'x)^{-1} x' y $$\n", "\n", "and then use *this* in a Moran-form regression: \n", "\n", "$$ \\mathbf{W}e = I_{x\\rightarrow y}e + \\nu $$\n", "\n", "Here, the search for structure in $e$ has already assumed that variation in $y$ is fully \"caused by\" $x$ *first*. That is, the spatial structure of $y$ that matters is that which is fully independent of $x$'s pattern. This approach is similar to [Restricted Spatial Regression](https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1788949), but proceeds very differently (and thus avoids its counter-intuitive effects). Note that $e = (I-P)y$ in the RSR framing. \n", "\n", "If we estimate this again using the same inner-to-elementwise trick, we can obtain: \n", "\n", "$$ I_{x\\rightarrow y} = e \\circ \\mathbf{W}e (e'e)^{-1}$$\n", "\n", "Assuming that there is only one variable $x$, this can be re-stated in terms of $y$ and $x$ with a little algebra: \n", "\n", "$$ I_{x\\rightarrow y} = \\left[ y\\circ \\mathbf{W}y - \\rho_{xy} x\\circ \\mathbf{W}y - \\rho_{xy} y\\circ\\mathbf{W}x + \\rho^2 x\\circ\\mathbf{W}x \\right] \\frac{n-1}{n} \\frac{1}{1-\\rho_{xy}^2}$$\n", "\n", "In this expression, you can see the Moran's $I$ all the way on the left of the bracketed expression, with two Wartenberg $I$s in the middle, and another Moran's $I$ for $x$ on the end. Each term is also scaled by $\\rho_{xy}$, depending on the directness of the relationship with $y$. You can think of this as $I$, rescaled by a measure of *indirect covariation* between $y$ and $x$ through $\\mathbf{W}$. Graphically, this is represented in the right facet of the following diagram:\n", "\n", "![Graph denoting the relations between some variable $x$ and the outcome of interest $y$ whose spatial structure is of interest.](data:image/png;base64,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)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since we've assumed that all of the variation in $y$ \"comes from\" $x$ first, we must consider all of the paths through *any* $x$ into $y$. You can see that the correction terms that \"flow through\" $x$ must be corrected by $\\rho_{xy}$ each time. So, for the $I_{x \\rightarrow y}$ on the far right of the diagram, we have four possible paths between outcome $y_1$ and nearby avearge outcomes $\\mathbf{W}y_1$ at site $1$:\n", "\n", "1. The most direct path is from $y_1$ to $\\mathbf{W}y_1$, classic $I$\n", "2. Another indirect path goes from $y_1$ through $x_1$, then to $\\mathbf{W}y_1$, adjusting the Wartenberg $I$ by $\\rho$.\n", "3. A similar indirect path goes from $y_1$ directly to nearby $x_i$, and then to $\\mathbf{W}y_1$, resulting in the reversed Wartenberg estimator scaled by $\\rho$\n", "4. Another indirect path goes from $y_i$, through $x$, then $\\mathbf{W}x_1$, and then to $\\mathbf{W}y_1$, involving $\\rho$ twice and Moran's $I$ within $x$ alone.\n", "\n", "Hence, terms 2 and 3 are represented by the green path and the red+orange path, while term 4 corresponds to the red+maroon path. Terms 2 and 3 are Wartenberg-style bivariate Moran statistics corrected by $\\rho_{xy}$, while term 4 is a univariate Moran statistic for $x$, corrected by $\\rho_{xy}^2$.\n", "\n", "This may look like a bit of an **over-correction**, though! Typically, when we backtrack through a path and correct for the resulting term, we can \"delete\" those paths from the diagram. Once we backtrack through route 1,2, and 3, we have to *use the red $y_1 \\rightarrow x_1$ link twice* to walk backwards along route 4. This double-counts $\\rho_{xy}$, and thus over-corrects for the indirect association between $y$ and $x$. Indeed, this corresponds to assuming that *all of the variation in $y$ is assigned to $x$ *first*, and no variation in $y$ (nor $\\mathbf{W}y$} arises simultaneously with $x$. This is a very tight assumption indeed. For our housing example, this would *re-frame* the analysis. If we think of the house price as $y$, and the predicted house price given the house size $\\hat{y}$, then $e = y - \\hat{y}$ is the *premium* you'd pay (or discount you'd get) on a specific house of size $X=x$. When $y>\\hat{y}$, you're paying *more* for the house than typical for its size, and vice versa. Hence, this second regression *changes the analysis entirely* from house price to the *unique premium* paid for each property after modelling house price as a function of house size. Note, too, that this auxiliary regression strategy can use *any nonlinear model*, which makes it quite powerful indeed. \n", "\n", "But, what if we don't want to double-count the association between $y$ and $x$? What if we don't want to switch our analysis to talk about $e$? Can't we just *adjust* $y$ for its co-variance with $x$?\n", "\n", "Yes! We can use a Partial Moran statistic, which examines the \"direct\" path from $y$ to $\\mathbf{W}y$ and corrects it by the portion of variation due to $x$'s association with $y$, which drives a bit of the association between $y$ and $\\mathbf{W}y$:\n", "\n", "$$ \\mathbf{\\hat{I}}_{y|x} = \\left[y\\circ \\mathbf{W}y - \\rho_{xy} x\\circ\\mathbf{W}y \\right] \\frac{N-1}{N} \\frac{1}{1 - \\rho^2_{xy}}$$\n", "\n", "So, these both correspond to very basic \"corrections\" of the univariate $y$ using simple correlations, univariate Moran's $I$, or bivariate Moran's $I$. However, the method can be extended to more covariates, and its interpretation is easy to justify using some simple econometric theory (see the end of this notebook). In our housing example, this approach would be like *adjusting* the house price for its association with house size, but then continuing to analyse the adjusted house price, like a price index. The partial correction allows us to adjust for *a target house's characteristics* $x_i$ (not *all* nearby house's characteristics $\\mathbf{W}x_j$), in our measure of association.\n", "\n", "# Code time \n", "\n", "We'll start with a few core packages. First, these new statistics are implemented in the `moran_local_mv` module of the `esda` package. This stands for \"moran local multivariate\" statistic. In addition, we'll need to compare these stats to the standard Univariate Moran (`Moran_Local`) and bivariate/Wartenberg Moran (`Moran_Local_BV`) again from the `esda` package. We'll also want an easy way to calculate the correlation using `scipy.stats.pearsonr`, a way to read in our data (`geopandas`, `geodatasets`), a way to store the spatial relationships between observations, provided by the `libpysal.graph` module, and a visualization toolkit, `matplotlib.pyplot`. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from esda.moran_local_mv import (\n", " Partial_Moran_Local, Auxiliary_Moran_Local # new Moran\n", ")\n", "from esda.moran import Moran_Local, Moran_Local_BV # standard Moran\n", "from libpysal import graph # construct spatial relations\n", "from scipy.stats import pearsonr # calculate correlation\n", "import geopandas, geodatasets # work with spatial data\n", "from matplotlib import pyplot as plt # visualize\n", "import seaborn # further visualization tools\n", "import numpy # math tools" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll work with Airbnb data from Chicago, in order to understand how additional information $x$ informs our judgement about outcomes $y$. In this case, we'll consider the average price per head per night for airbnbs in neighborhoods of Chicago, and how it is informed by the overcrowding rate in those neighborhoods, which is a function itself of the population density and investment in housing stock in the neighborhood. Note, too, that price-per-head is *already correcting* the total booking price of an airbnb based on the number of people it can accommodate; we need a new technique to partition covariation correctly. " ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "df = geopandas.read_file(\n", " geodatasets.get_path(\"geoda.airbnb\")\n", ").dropna()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df.plot(\"price_pp\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to estimate the statistics, we need to get our data. We'll use the `price_pp` to get the price per person per night for Airbnbs in each neighborhood. And, we'll use the `crowded` column for the percentages of properties that are over-crowded. We'll build a simple contiguity weights matrix to explain the spatial adjacencies between neighborhoods. " ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "y = df.price_pp.values.reshape(-1,1)\n", "x = df.crowded.values.reshape(-1,1)\n", "w = graph.Graph.build_contiguity(df).transform(\"R\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, with these defined, we can calculate all of our statistics. First, we can note that each statistic corresponds to a different question of relation, like we discussed above: " ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Simulating by site: 100%|██████████████████████████████████████████████████████████████████| 66/66 [00:00<00:00, 12136.62it/s]\n", "Simulating by site: 100%|██████████████████████████████████████████████████████████████████| 66/66 [00:00<00:00, 21919.71it/s]\n" ] } ], "source": [ "# are expensive places near expensive places?\n", "Iy = Moran_Local(y, w)\n", "# are crowded plcaes near crowded places?\n", "Ix = Moran_Local(x, w) \n", "# are expensive places also crowded places? \n", "rho = pearsonr(y.squeeze(),x.squeeze())[0]\n", "# are expensive places near crowded places?\n", "Ixy = Moran_Local_BV(x, y, w) \n", "# are crowded places near expensive places?\n", "Iyx = Moran_Local_BV(y, x, w)\n", "# are expensive places near expensive places, adjusted for crowding?\n", "p_lmo = Partial_Moran_Local().fit(x,y,w)\n", "# assuming crowding explains price, \n", "# are places with high post-crowding premiums near one another?\n", "a_lmo = Auxiliary_Moran_Local().fit(x,y,w)\n", "\n", "# this is a scaling factor for the multivariable statistics\n", "scaling = (w.n - 1)/(w.n) * (1/(1-rho**2))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can then see that the multivariate estimators for the partial and auxiliary regressive versions of the Local Moran statistic are just combinations of these simple pairwise statistics when there is only one $x$ variable: " ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f,ax = plt.subplots(1,2, subplot_kw=dict(aspect='equal'))\n", "\n", "ax[0].scatter(\n", " (Iy.Is - rho * Ixy.Is)*scaling, \n", " p_lmo.associations_\n", ")\n", "\n", "ax[1].scatter(\n", " (Iy.Is - rho*Ixy.Is - rho*Iyx.Is + rho**2*Ix.Is)*scaling,\n", " a_lmo.associations_)\n", "\n", "for i in range(2):\n", " xmin, xmax = ax[i].get_xlim()\n", " ymin, ymax = ax[i].get_ylim()\n", " left = min([xmin, ymin])\n", " right = max([xmax, ymax])\n", " ax[i].plot([left, right], [left, right], color='k', linestyle=\":\")\n", " ax[i].set_xlim(left, right)\n", " ax[i].set_ylim(left, right)\n", " if i==0:\n", " ax[i].set_ylabel(\"Splitting an OLS\")\n", " ax[i].set_xlabel(\"Combining basic stats\")\n", " ax[i].set_title(['Partial Local Moran', 'Axiliary Local Moran'][i])\n", " seaborn.despine(ax=ax[i])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can see the direction of changes shown below. The changes in the partial statistic can only move from left to right, since the correction is only applied to $y$, not $\\mathbf{W}y$. The component that \"corrects\" the $\\mathbf{W}y$ for $x$ comes from that due to $\\mathbf{W}x$, which arises in the auxiliary regression version, shown on the right. \n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [], "source": [ "#| echo: false\n", "def quadcolor(x,y, colors=None):\n", " off_sign = numpy.sign(y) != numpy.sign(x)\n", " neg_y = y < 0\n", " quad = off_sign + neg_y*2\n", " if colors is None:\n", " colors= numpy.array(['red','powderblue','steelblue','lightsalmon'])\n", " return colors[quad]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#| echo: false\n", "f,ax = plt.subplots(1,2,figsize=(8,4))\n", "for i,ax_ in enumerate(ax):\n", " start_x, start_y = Iy.z, Iy.w.sparse @ Iy.z\n", " new_x, new_y = (p_lmo.partials_.T, a_lmo.partials_.T)[i]\n", " dx, dy = new_x - start_x, new_y - start_y\n", " colors = quadcolor(new_x, new_y)\n", " for j in range(Iy.w.n):\n", " ax_.arrow(\n", " x=start_x[j], y=start_y[j],\n", " dx = dx[j], dy = dy[j],\n", " width=.02, shape='full', \n", " length_includes_head=True, linewidth=0,\n", " head_width=.1, color=colors[j]\n", " )\n", " ax_.axvline(0, color='k', linestyle=':')\n", " ax_.axhline(0, color='k', linestyle=':')\n", " for j in range(2):\n", " for k in range(2):\n", " ax_.annotate(\n", " text=['Hotspot', 'Pit', 'Peak', 'Coldspot'][j+2*k],\n", " xy=(.1 if j else .8,\n", " .025 if k else .6\n", " ),\n", " xycoords=\"axes fraction\"\n", " )\n", " ax_.set_xlabel(r\"$y-\\rho x$\")\n", " ax_.set_ylabel((r\"$\\mathbf{W}y$\", r\"$\\mathbf{W}(y-\\rho x)$\")[i])\n", "f.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, we've colored the statistics according to their *new* quadrant. In the same fashion as a regular Local Moran statistic, we get quadrants that describe whether $y-\\rho x$ is above or below the mean, (which, in both cases, is zero), and whether $\\mathbf{W}y$ (or $\\mathbf{W}(y - \\rho x)$) is above or below its mean (which, again, is zero by construction). Further, you can note the four-part quadrant breakdown is explained by the annotations:\n", "\n", "- A *hotspot* is an area where the observation under study is above its mean, and also above the surrounding mean.\n", "- A *pit* is an area where the observation under study is below its mean, but is surrounded by observations larger than the mean. \n", "- A *coldspot* is a hotspot in reverse: observations are smaller than the mean, and surrounded by values smaller than the mean. \n", "- A *peak* is a pit in reverse: the observation under study is above the mean, but is surrounded by values below the mean. \n", "\n", "In the case of the multivariable statistics, the interpretation remains the same; we just change what values we're comparing at the site and surrounding. For the partial Moran, we compare the adjusted $y-\\rho x$ to $\\mathbf{W}y$, while the full Auxiliary Regression Moran compares $y - \\rho x$ to $\\mathbf{W}y - \\rho \\mathbf{W}x$. Further, it might help to recognize that arrows in the left plot represent *only* the lateral (left-right, horizontal) component of arrows in the right plot. The left plot shows how information conditions our *site-specific* judgement, while the right plot shows how information conditions our judgement about the entire relationship. The vertical component of those vectors corresponds to the contribution of the $\\rho\\mathbf{W}x$ component of the y-axis term. \n", "\n", "We can also center the arrows on a common axis. This will let us see at a higher level whether information about crowding changes our judgement about the pattern of prices in Chicago. " ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [], "source": [ "#| echo: false\n", "def circular_hist(ax, x, bins=16, density=True, offset=0, gaps=True):\n", " \"\"\"\n", " Produce a circular histogram of angles on ax.\n", "\n", " Parameters\n", " ----------\n", " ax : matplotlib.axes._subplots.PolarAxesSubplot\n", " axis instance created with subplot_kw=dict(projection='polar').\n", "\n", " x : array\n", " Angles to plot, expected in units of radians.\n", "\n", " bins : int, optional\n", " Defines the number of equal-width bins in the range. The default is 16.\n", "\n", " density : bool, optional\n", " If True plot frequency proportional to area. If False plot frequency\n", " proportional to radius. The default is True.\n", "\n", " offset : float, optional\n", " Sets the offset for the location of the 0 direction in units of\n", " radians. The default is 0.\n", "\n", " gaps : bool, optional\n", " Whether to allow gaps between bins. When gaps = False the bins are\n", " forced to partition the entire [-pi, pi] range. The default is True.\n", "\n", " Returns\n", " -------\n", " n : array or list of arrays\n", " The number of values in each bin.\n", "\n", " bins : array\n", " The edges of the bins.\n", "\n", " patches : `.BarContainer` or list of a single `.Polygon`\n", " Container of individual artists used to create the histogram\n", " or list of such containers if there are multiple input datasets.\n", " \"\"\"\n", " np = numpy\n", " # Wrap angles to [-pi, pi)\n", " x = (x+np.pi) % (2*np.pi) - np.pi\n", "\n", " # Force bins to partition entire circle\n", " if not gaps:\n", " bins = np.linspace(-np.pi, np.pi, num=bins+1)\n", "\n", " # Bin data and record counts\n", " n, bins = np.histogram(x, bins=bins)\n", "\n", " # Compute width of each bin\n", " widths = np.diff(bins)\n", "\n", " # By default plot frequency proportional to area\n", " if density:\n", " # Area to assign each bin\n", " area = n / x.size\n", " # Calculate corresponding bin radius\n", " radius = (area/np.pi) ** .5\n", " # Otherwise plot frequency proportional to radius\n", " else:\n", " radius = n\n", "\n", " # Plot data on ax\n", " patches = ax.bar(bins[:-1], radius, zorder=1, \n", " align='edge', width=widths, linewidth=1\n", " )\n", "\n", " # Set the direction of the zero angle\n", " ax.set_theta_offset(offset)\n", "\n", " # Remove ylabels for area plots (they are mostly obstructive)\n", " if density:\n", " ax.set_yticks([])\n", "\n", " return n, bins, patches" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For the partial Moran, we can visualize the changes along the $y$ axis as different \"arrows\" pushing either left or right. This is fine because the correction is only be applied on the $x$ component. For the auxiliary Moran, we need to build a Rose diagram that maps the typical move in each direction. This puts the original $I_i$ value at the center of the diagram, and shows the number of moves that go in each of the directions. Longer bars/pie slices indicate more moves in that direction. " ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#| echo: false\n", "f = plt.figure(figsize=(8,4))\n", "ax1 = plt.subplot(1,2,1)\n", "ax2 = plt.subplot(1,2,2, projection='polar')\n", "for i,ax_ in enumerate((ax1, ax2)):\n", " start_x, start_y = Iy.z, Iy.w.sparse @ Iy.z\n", " new_x, new_y = (p_lmo.partials_.T, a_lmo.partials_.T)[i]\n", " dx, dy = new_x - start_x, new_y - start_y\n", " colors = quadcolor(dx, dy if i > 0 else new_y,\n", " colors=numpy.array(\n", " [\"forestgreen\", \n", " \"violet\", \n", " \"purple\", \n", " \"lightgreen\"\n", " ]\n", " )\n", " )\n", " if i == 0:\n", " for j in range(Iy.w.n):\n", " ax_.arrow(\n", " x=0, y=0 if i > 0 else start_y[j],\n", " dx = dx[j], dy = dy[j],\n", " width=.02, shape='full', \n", " length_includes_head=True, linewidth=0,\n", " head_width=.05, color=colors[j]\n", " )\n", " ax_.axvline(0, color='k', linestyle=':')\n", " ax_.axhline(0, color='k', linestyle=':')\n", " ax1.set_title(\"Change, Univariate to Part-Conditional\")\n", " seaborn.despine(ax=ax1)\n", " ax1.legend(\n", " handles = \n", " [\n", " plt.arrow(0,0,1,0,\n", " color=[\"forestgreen\", \"violet\", \"purple\", \"lightgreen\"][i]) for i in range(4)\n", " ],\n", " labels = [\n", " \"X Heats y\", \n", " \"X Pits y\", \n", " \"X Cools y\", \n", " \"X Peaks y\"\n", " ]\n", " )\n", " else:\n", " theta = numpy.arctan2(dy, dx)\n", " n, bins, patches = circular_hist(ax=ax2, x=theta, bins=16, gaps=False)\n", " for bin_, patch_ in zip(bins,patches.patches):\n", " if -numpy.pi/2 <= bin_ < 0:\n", " patch_.set_facecolor(\"lightgreen\")\n", " elif 0 <= bin_ < numpy.pi/2:\n", " patch_.set_facecolor(\"forestgreen\")\n", " elif numpy.pi/2 <= bin_ < numpy.pi:\n", " patch_.set_facecolor(\"violet\")\n", " elif -numpy.pi <= bin_ < -numpy.pi/2:\n", " patch_.set_facecolor(\"purple\")\n", " ax2.set_title(\"Change, Univariate to Full Conditional\")\n", "f.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the partial statistic, you can see that most of the moves occur in the hotspot and coldspot quadrants, but quite a few very large moves push things towards \"peaked\"ness. These are many of the moves on the bottom right quadrant, where even a few observations shift from being a coldspot to being a peak. This means that they're in relatively low-priced areas, given their crowding levels. I refer to this as \"x peaks y\", since it indicates that $x$ pushes the local statistic towards the \"peak\" quadrant. Note that this does *not* indicate a change in classification, which we can see in a second. \n", "\n", "For the full conditional case, you can see from these diagrams that the inclusion of the crowding information pushes most strongly in the cluster/outlier direction. This means that the additional information about crowding increases our perception of how the price-per-person-per-night clusters spatially. \n", "\n", "To see the actual table of class changes (ignoring statistical significance for now), we can use `pandas` crosstabs to build the following nice tables: " ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "#| echo: false\n", "#| #| jupyter: {source_hidden: false}\n", "import pandas\n", "\n", "partial_moves = pandas.crosstab(\n", " Iy.q,\n", " p_lmo.labels_,\n", " )\n", "partial_moves.columns = partial_moves.index = ['hotspot', 'pit', 'coldspot', 'peak']\n", "partial_moves.columns.name = \"Partial\"\n", "partial_moves.index.name = \"Univariate\"\n", "\n", "aux_moves = pandas.crosstab(\n", " Iy.q,\n", " a_lmo.labels_,\n", " )\n", "aux_moves.columns = aux_moves.index = ['hotspot', 'pit', 'coldspot', 'peak']\n", "aux_moves.columns.name = \"Auxiliary\"\n", "aux_moves.index.name = \"Univariate\"" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Partialhotspotpitcoldspotpeak
Univariate
hotspot14300
pit4900
coldspot00243
peak0018
\n", "
" ], "text/plain": [ "Partial hotspot pit coldspot peak\n", "Univariate \n", "hotspot 14 3 0 0\n", "pit 4 9 0 0\n", "coldspot 0 0 24 3\n", "peak 0 0 1 8" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#| echo: false\n", "partial_moves" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "jupyter": { "source_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Auxiliaryhotspotpitcoldspotpeak
Univariate
hotspot14300
pit4720
coldspot05193
peak2016
\n", "
" ], "text/plain": [ "Auxiliary hotspot pit coldspot peak\n", "Univariate \n", "hotspot 14 3 0 0\n", "pit 4 7 2 0\n", "coldspot 0 5 19 3\n", "peak 2 0 1 6" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#| echo: false\n", "aux_moves" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From these, you can immediately see that the partial statistics can only move laterally. No observations moved from coldspot to anything other than \"peak\". That is, $x$ only affects our judgement about $y$, not $\\mathbf{W}y$. In the bottom, however, you can see that moves exist across any quadrant. Although it is theoretically possible, no observations move in between hotspot and coldspot or peak and pit.\n", "\n", "# Conclusion\n", "\n", "In sum, the `Partial_Moran_Local` and `Auxiliary_Moran_Local` are great ways to control for \"exogenous\" variables $x$ that you think might be driving the pattern of your outcome. In this case, if you want to remove *everything* due to $x$ first, you should use the `Auxiliary_Moran_Local`, which is equivalent to regressing $x$ out of $y$ and analyzing the residuals for structure. However, it is often the case that we want to account for $x$ *without* assigning all of the variation in $y$ to $x$ alone. In this case, use the `Partial_Moran_Local` to recover an estimate of the relationship between a site's $y$ value and its surrounding $y$ values while fixing $x$ to a constant value. \n", "\n", "# A bit more formal aside: Fritsch-Waugh-Lovell to the rescue\n", "\n", "For the econometricians in the room, there is an even better grounding than the graph-based argument from above to use the partial coefficient. If $\\mathbf{X}$ is a collection of exogenous control matrices, we generally want to estimate $\\rho$ and its partial products/local effects from the following Moran-form regression: \n", "\n", "$$ \\mathbf{W}y = \\mathbf{X}\\beta + \\rho y + \\epsilon $$\n", "\n", "How can we \"get rid of\" $\\mathbf{X}\\beta$ in our estimator for $\\rho$? Well, the [Frisch-Waugh-Lovell](https://en.wikipedia.org/wiki/Frisch–Waugh–Lovell_theorem) lets us filter the regression to get back to a \"regular\" Moran-form regression with just $\\mathbf{W}y$ and $y$. To do this, let $\\mathbf{P}=\\mathbf{I}-\\mathbf{X}'(\\mathbf{X}'\\mathbf{X})^{-1}\\mathbf{X}'$, and use FWL to re-state the regression above into a regression about the effect of $y$ on $\\mathbf{W}y$ that is independent of $x$:\n", "\n", "$$ \\mathbf{P}\\mathbf{W}y = I_{y|x} \\mathbf{P} y + \\epsilon $$\n", "\n", "If you calculate this out, we get our estimator above. For the auxiliary regression strategy, you can think of $e$ as \"what remains of $y$ that is independent of $x$. So, we would state $I_{x \\rightarrow y}$ for our auxiliary regression would seek to find the effect of \"what remains of $y$ that is independent of $x$\" on the lag of \"what remains of $y$ that is independent of $x$.\"\n", "\n", "$$ \\mathbf{W}\\mathbf{P}y = I_{x \\rightarrow y}\\mathbf{P}y + \\epsilon$$\n", "\n", "The two are not equivalent because $\\mathbf{WP}\\neq\\mathbf{PW}$ in general, even for symmetric $\\mathbf{W}$ and $\\mathbf{P}$; in practice, $\\mathbf{P}$ is always symmetric, but $\\mathbf{W}$ rarely is. Generally, we want $\\mathbf{P}\\mathbf{W}y$ as our outcome, not $\\mathbf{W}\\mathbf{P}y$. \n" ] } ], "metadata": { "kernelspec": { "display_name": "Analysis", "language": "python", "name": "analysis" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 4 }