{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Assessing local patterns of spatial heteroskedasticity"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the following notebook we review the local spatial heteroskedasticity (LOSH) statistic ($H_i$) put forward by [Ord and Getis (2012)](https://link.springer.com/article/10.1007/s00168-011-0492-y). LOSH is meant as an accompainment to the local statistics that analyze the mean level of a spatial process. LOSH focuses on analyzing the variance of the spatial process.\n",
"\n",
"As outlined by Ord and Getis, consider a 10 x 10 grid of property values. Within this grid, there is a central high-rent district (identified by cells that are 1) and a surrounding lower-value area (identified by cells that are 0. We can visualize this spatial arrangement as:\n",
"\n",
"| | | | | | | | | | |\n",
"|---|---|---|---|---|---|---|---|---|---|\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
"\n",
"While we can see that the inner core of the high-rent district have similar values to their neigbhors (i.e. a cells of 1 surrounded by other cells of 1), this is less true when we consider the outer rim of the high-rent district. This rim represents a possible transition region between the stable inner high-rent area and the stable outer lower value areas. Ord and Getis seek to use the LOSH statistic ($H_i$) to identify this transitional region between the two areas."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Understanding the LOSH statistic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ord and Getis begin by defining a local mean, $\\bar{x}_i (d)$, as a re-scaled form of their $G^*_i$ statistic. This local mean is: \n",
"\n",
"Eq. 1 $$ \\bar{x}_i (d) = \\frac{\\sum_j w_{ij} (d) x_j}{\\sum_j w_{ij}(d)} $$\n",
"\n",
"With a local mean defined, we can understand local residuals as the value of a local unit minus the local mean, or: \n",
"\n",
"Eq. 2 $$ e_j(d) = x_j - \\bar{x}_i(d), j \\in N(i,d) $$\n",
"\n",
"These local residuals may be incorporated into Eq. 1 to form a final local dispersion statistic called $H_i$:\n",
"\n",
"Eq. 3 $$H_i(d) = \\frac{\\sum w_{ij}(d) |e_j(d)|^a}{\\sum w_{ij}(d)}$$\n",
"\n",
"Note the addition of a new variable, $a$. This handles the interpretation of the residuals. As explaiend by Ord and Getis: \n",
"\n",
">When a = 1, we have an absolute deviations measure, Hi 1, and when a = 2 a variance measure, Hi2. Clearly, other choices are possible, along with various robust forms to avoid outliers. In order to produce a standard measure, we should divide by the mean absolute deviation or variance for the whole data set.\n",
"\n",
"The default settings of the `losh()` function set $a=2$."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Interpreting the LOSH statistic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ord and Getis suggest that the $H_i$ statistic may benefit from interpretation with the $G^*_i$ statistic. The logic of this combined interpretation is that a the $G^*_i$ value speaks to the local mean of the phenomenon of interest, whereas the $H_i$ speaks to the local heterogeneity. Ord and Getis provide the following table as a simplified guide for interpretation:\n",
"\n",
"| Mean\\variance | High $H_i$ | Low $H_i$ |\n",
"|-------------------|-------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------|\n",
"| Large $|G^*_i|$ | A hot spot with heterogeneous local conditions | A hot spot with similar surrounding areas; the map would indicate whether the affected region is larger than the single 'cell' |\n",
"| Small $|G^*_i|$ | Heterogeneous local conditions but at a low average level (an unlikely event) | Homogeneous local conditions and a low average level |\n",
"| | | |"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Inference on the LOSH statistic\n",
"\n",
"The current inference in the PySAL implementation of the LOSH statistic uses a $\\chi^2$ distribution. For each unit, we calculate a Z-score as: \n",
"\n",
"$$ Z_i = 2H_i / V_i$$ with $2/V_i$ degrees of freedom. $V_i$ is the local variance of the unit, calculated as: \n",
"\n",
"$$ Var_{p}(H_i) = \\frac{1}{n-1} \\left( \\frac{1}{h_1 W_{i1}}\\right) ^2 (h_2 - h_1^2) \\left[nW_{i2} - W_{i1}^2\\right] $$\n",
"\n",
"It is worthwhile to note that alternative methods for inference have been proposed in [Xu et al (2014).](https://ideas.repec.org/a/spr/anresc/v52y2014i3p697-710.html) While these methods are not yet implemented in PySAL, they are available in the `R` `spdep` package as `LOSH.mc`. The PySAL function is comparable to the `spdep` `LOSH` and `LOSH.cs` functions."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Applying the LOSH statistic on a dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As a point of comparison, we now demonstrate the PySAL `losh` function on the [Boston Housing Dataset](https://geodacenter.github.io/data-and-lab//boston-housing/), which is also used as the docexample in `R` `spdep` `LOSH.cs`. We are interested in the variable `NOX`, which is the '...vector of nitric oxides concentration (parts per 10 million) per town'. \n",
"\n",
"We first load the `Bostonhsg` example dataset from `libpysal`:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/serge/anaconda3/envs/dev/lib/python3.8/site-packages/geopandas/_compat.py:84: UserWarning: The Shapely GEOS version (3.8.0-CAPI-1.13.1 ) is incompatible with the GEOS version PyGEOS was compiled with (3.8.1-CAPI-1.13.3). Conversions between both will be slow.\n",
" warnings.warn(\n"
]
}
],
"source": [
"import libpysal\n",
"import geopandas\n",
"boston = libpysal.examples.load_example('Bostonhsg')\n",
"boston_ds = geopandas.read_file(boston.get_path('boston.shp'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Then we construct a Queen weight structure:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"w = libpysal.weights.Queen.from_dataframe(boston_ds)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now import the `losh()` function. Note that it is in the form of a scikit-learn type estimator, so we pass both a series of arguments and then call `.fit()`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from esda.losh import LOSH\n",
"ls = LOSH(connectivity=w, inference=\"chi-square\").fit(boston_ds['NOX'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now examine the LOSH ($H_i$) values and their significance."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.19690679, 0.51765774, 0.80382881, 0.80854441, 0.530667 ,\n",
" 0.525579 , 0.83291425, 0.84215733, 0.48875154, 0.41955327])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ls.Hi[0:10]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.86292242, 0.61157688, 0.45697742, 0.34426167, 0.57934554,\n",
" 0.55430556, 0.4135546 , 0.40999792, 0.54025022, 0.57801529])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ls.pval[0:10]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If we want to map the LOSH ($H_i$) values, we need to add them back to the `boston_ds` dataframe."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"boston_ds['Hi'] = ls.Hi\n",
"boston_ds['Hi_pval'] = ls.pval"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now map the LOSH ($H_i$) values. Note that we choose a Quantile break scheme here for visualization purposes."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
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