{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Estimating the effect of agricultural conservation practices (CP) on reducing nutrient loss\n",
"\n",
"We will use the Measured Annual Nutrient loads from AGricultural Environments (MANAGE) data from the USDA,\n",
"as published by [Qian and Harmel](https://onlinelibrary.wiley.com/doi/epdf/10.1111/1752-1688.12377), where they used causal inference in order to quantify the effects of water and soil conservation practices in reducing phosphorus loss from agricultural fields.\n",
"\n",
"The data is [provided](https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1752-1688.12377&file=jawr12377-sup-0001-manage.RData) in `Rdata` format, so we will first have to load it and transform it. \n",
"We use the `rpy2` package, which is not a part of the requirements for `causallib` and so you will have to install it if reproducing the analysis.\n",
"\n",
"## Loading the data"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import rpy2.robjects as objects\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"url = objects.r['url']('https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1752-1688.12377&file=jawr12377-sup-0001-manage.RData')\n",
"try:\n",
" objects.r['load'](url)\n",
"except Exception: # fallback - if the above doesn't work please download the file directly\n",
" objects.r['load']('jawr12377-sup-0001-manage.rdata')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(274, 71)\n"
]
},
{
"data": {
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...
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151
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4 Yr. Bahiagrass 1
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Tifton, GA
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1952 - 1960
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...
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Pasture
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NaN
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...
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NaN
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NaN
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NaN
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NaN
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NaN
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Surface Runoff
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NaN
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Thomas, A.W., R.L. Carter, and J.R. Carreker. ...
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44
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0
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260
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KA-1
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2003-2004
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2.21
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0.03
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1.12
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Estimated precipitation, runoff, and soil loss...
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"text/plain": [
" WatershedID City State Location \\\n",
"RecordID \n",
"151 4 Yr. Bahiagrass 1 Tifton, GA GA NaN \n",
"152 4 Yr. Bahiagrass 2 Tifton, GA GA NaN \n",
"260 KA-1 Middleton, WI WI NaN \n",
"261 KA-2 Middleton, WI WI NaN \n",
"93 C7 Chickasha, OK OK NaN \n",
"\n",
" Date Watershed.Years ShortLU \\\n",
"RecordID \n",
"151 1952 - 1960 4 Pasture \n",
"152 1952 - 1960 4 Pasture \n",
"260 2003-2004 2 Alfalfa \n",
"261 2003-2004 2 Alfalfa \n",
"93 July 1972 - June 1973 1 Alfalfa \n",
"\n",
" LandUse Tillage CP1 \\\n",
"RecordID \n",
"151 1st Yr. Bahiagrass, Clover (4 Yr. Rotation of ... Pasture NaN \n",
"152 2nd Yr. Bahiagrass, Clover (4 Yr. Rotation of ... Pasture NaN \n",
"260 Alfalfa Pasture NaN \n",
"261 Alfalfa Pasture NaN \n",
"93 Alfalfa (Dryland) Pasture NaN \n",
"\n",
" ... PP.Form MaxTPLoad MinTPLoad AvgTPLoad FormTP FlowIndicator \\\n",
"RecordID ... \n",
"151 ... NaN NaN NaN NaN NaN Surface Runoff \n",
"152 ... NaN NaN NaN NaN NaN Surface Runoff \n",
"260 ... NaN 0.12 0.12 0.12 NaN Surface Runoff \n",
"261 ... NaN 2.21 0.03 1.12 NaN Surface Runoff \n",
"93 ... NaN NaN NaN 2.48 NaN Surface Runoff \n",
"\n",
" Comments \\\n",
"RecordID \n",
"151 NaN \n",
"152 NaN \n",
"260 NaN \n",
"261 Flow from outside the watershed may have contr... \n",
"93 Estimated precipitation, runoff, and soil loss... \n",
"\n",
" Reference Ref CPs \n",
"RecordID \n",
"151 Thomas, A.W., R.L. Carter, and J.R. Carreker. ... 44 0 \n",
"152 Thomas, A.W., R.L. Carter, and J.R. Carreker. ... 44 0 \n",
"260 Cabot, P.E., K.G. Karthikeyan, P.S. Miller, an... 7 0 \n",
"261 Cabot, P.E., K.G. Karthikeyan, P.S. Miller, an... 7 0 \n",
"93 Olness, A., S.J. Smith, E.D. Rhoades, and R.G.... 29 0 \n",
"\n",
"[5 rows x 71 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# normally we would use pandas to transform the R-datafram into a pandas dataframe, \n",
"# from rpy2.robjects import pandas2ri\n",
"# pandas2ri.activate() \n",
"# but in many versions of pandas this is broken with categorical data as we have here\n",
"# so instead we will use R to save the DataFrame to csv and load it in pandas\n",
"objects.r['write.csv'](x=objects.r[\"LoadApr2007\"], file=\"MANAGE.csv\", fileEncoding=\"UTF-8\", **{\"row.names\": False})\n",
"manage = pd.read_csv(\"MANAGE.csv\", index_col='RecordID')\n",
"print(manage.shape)\n",
"manage.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Data pre-processing\n",
"We will follow the [procedure used by Qian and Harmel](https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1752-1688.12377&file=jawr12377-sup-0002-causalClean.R)\n",
"to preprocess the data, which includes creating a few log-transforms and cleaning the data.\n",
"\n",
"The intervention we are interested in is one of either contour farming, terracing, buffering, or creating a waterway.\n",
"Together these are referred to as conservation practices, or CP.\n",
"The outcome of interest is the amount of phosphorus that was measured in runoff water (`AvgTPLoad`). \n",
"To see why this is a problems see [an explanation from the USGS](https://www.usgs.gov/special-topic/water-science-school/science/phosphorus-and-water) and [from the EPA](https://www.epa.gov/nutrient-policy-data/estimated-total-nitrogen-and-total-phosphorus-loads-and-yields-generated-within).\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"#manage.fillna(manage.median(axis=0), inplace=True)\n",
"manage[\"AvgTPLoad\"].clip(0.002, inplace=True)\n",
"manage[\"AvgTNLoad\"].clip(0.02, inplace=True)\n",
"manage[\"F.AppMethod1\"].replace(\"Other\", \"Surface Applied\", inplace=True)\n",
"manage[\"F.AppMethod1\"].replace(\"Other2\", \"Unknown\", inplace=True)\n",
"\n",
"manage[\"CFarm\"] = (manage[[\"CP1\", \"CP2\", \"CP3\"]] == \"Contour Farming\").any(axis=1)\n",
"manage[\"Buffer\"] = ((manage[[\"CP1\", \"CP2\", \"CP3\"]] == \"Filter Strip\").any(axis=1)) | \\\n",
" ((manage[[\"CP1\", \"CP2\", \"CP3\"]] == \"Riparian Buffer\").any(axis=1))\n",
"manage[\"Terrace\"] = (manage[[\"CP1\", \"CP2\", \"CP3\"]] == \"Terrace\").any(axis=1)\n",
"manage[\"Waterway\"] = (manage[[\"CP1\", \"CP2\", \"CP3\"]] == \"Waterway\").any(axis=1)\n",
"manage[\"NumCP\"] = manage[[\"CFarm\", \"Buffer\", \"Terrace\", \"Waterway\"]].sum(axis=1)\n",
"manage[\"AnyCP\"] = manage[[\"CFarm\", \"Buffer\", \"Terrace\", \"Waterway\"]].any(axis=1)\n",
"\n",
"manage.dropna(axis=1, thresh=50, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def boxplot(df:pd.DataFrame, name:str, by=\"AnyCP\", ax=None):\n",
" \"\"\"A helper function to plot boxplots in log scale and annotate the median\"\"\"\n",
" ax = ax or plt.gca()\n",
" _ = df.boxplot(name, by=by, ax=ax)\n",
" ax.set_yscale('log')\n",
" ax.autoscale()\n",
" ax.grid(False)\n",
" medians = df[name].groupby(df[by]).median().values\n",
" ticks = ax.get_xticklabels()\n",
" for median, tick in zip(medians, ticks):\n",
" ax.text(x=tick.get_position()[0], y=median, s=median, horizontalalignment=\"center\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axes = plt.subplots(2, 2)\n",
"fig.set_size_inches(14,14)\n",
"boxplot(manage, \"AvgTPLoad\", ax=axes[0][0])\n",
"boxplot(manage, \"AvgTNLoad\", ax=axes[0][1])\n",
"boxplot(manage, \"Avg.N.Applied\", ax=axes[1][0])\n",
"boxplot(manage, \"Avg.P.Applied\", ax=axes[1][1])\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Causal inference\n",
"The box-plots above show both the outcome and several features are correlated with the treatment, which indicates that there is some bias in the data. We will now use causallib to estimate the effect of treatment by correcting for these biases.\n",
"\n",
"As features, we use the amount of phosphorus and nitrogen applied, the total amount of water runoff, the soil volume, the phosphosros application method, and the type of land use (LU)."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from causallib.estimation import IPW\n",
"from sklearn.linear_model import LogisticRegression"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"lr = LogisticRegression(solver='lbfgs', max_iter=500)\n",
"ipw = IPW(lr)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(222, 23)\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" causal marginal\n",
"AnyCP \n",
"False 0.695621 0.592249\n",
"True 0.515510 0.798039"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.DataFrame({\"causal\": np.exp(ipw.estimate_population_outcome(X, a, y)),\n",
" \"marginal\": np.exp(y.groupby(a).mean())})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that the causal inference identifies that using any CP will reduce the phosphorus load, while the marginal observation (just checking what happened in treated vs. untreated areas) shows the opposite trend. How can this be?\n",
"## Evaluation and adjustments\n",
"One way to understand what is occurring is to evaluate the performance of the propensity model and check how consistent it is. Causallib provides the tools to do this."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"from causallib.evaluation import PropensityEvaluator"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"evaluator = PropensityEvaluator(ipw)\n",
"_ = evaluator.evaluate_simple(X, a, y, plots=[\"roc_curve\", \"weight_distribution\", \"calibration\", \n",
" \"covariate_balance_love\"])\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance it might seem that while the model has good predictive performance in the ROC curve (top left). However, the fact that the weighted ROC curve is far from the diagonal hints that the model is in fact not very good at balancing the data. This can also be seen in the covariate balancing plot (bottom right), where we see that the `Pasture` variable, which was extremely biased in the data, is still quite biased even after weighting. It would make sense, therefore, to stratify the analysis according to it, or to remove it from the analysis completely.\n",
"\n",
"To check whether it is better to stratify or limit our analysis to a specific strata, let's check the overlap between `Pasture` and the treatment. We may as well look at all the categorical features and check:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"AnyCP False True \n",
" Method_Incorporated \n",
"Method_Incorporated 0 148 31\n",
" 1 32 11\n",
"Method_Injected 0 171 36\n",
" 1 9 6\n",
"Method_Surface Applied 0 139 32\n",
" 1 41 10\n",
"Method_Unknown 0 82 27\n",
" 1 98 15\n",
"LU_Alfalfa 0 175 42\n",
" 1 5 0\n",
"LU_Corn 0 156 24\n",
" 1 24 18\n",
"LU_Cotton 0 173 42\n",
" 1 7 0\n",
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" 1 1 2\n",
"LU_Oats.Wheat 0 162 39\n",
" 1 18 3\n",
"LU_Other 0 165 42\n",
" 1 15 0\n",
"LU_Pasture 0 99 41\n",
" 1 81 1\n",
"LU_Peanuts 0 176 42\n",
" 1 4 0\n",
"LU_Rotation 0 160 30\n",
" 1 20 12\n",
"LU_Sorghum 0 175 38\n",
" 1 5 4\n",
"LU_Soybeans 0 180 40\n",
" 1 0 2\n",
"Tillage_Conservation 0 157 24\n",
" 1 23 18\n",
"Tillage_Conventional 0 120 26\n",
" 1 60 16\n",
"Tillage_No Till 0 168 35\n",
" 1 12 7\n",
"Tillage_Pasture 0 95 41\n",
" 1 85 1"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.concat({col: pd.crosstab(X[col], a) for col in X.select_dtypes('uint8').columns.values}, axis=0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We see that there is only one case of pasture land that was in fact treated. We should limit the analysis only to non-pasture land. \n",
"\n",
"But it's a bit more than that, since treatment was also never observed for Alfalfa, Cotton, Peanuts, or Other. For Other, the difference is quite large while the others might still be attributed to small number fluctuations. While this could be tested using some sort of statistical test, this is not the focus of this example, and we will simply remove all these samples (and then remove the columns to avoid having all-zero columns)."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"We are left with 107 samples\n"
]
},
{
"data": {
"text/html": [
"