{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# NERC region maps\n",
"NERC shapefiles are from *Tamayao, M.-A. M., Michalek, J. J., Hendrickson, C. & Azevedo, I. M. L. Regional Variability and Uncertainty of Electric Vehicle Life Cycle CO2 Emissions across the United States. Environ. Sci. Technol. 49, 8844–8855 (2015)*.\n",
"\n",
"\n",
"This notebook should be run after the `Paper figures` notebook. The index summary table used here is calculated at the end of that notebook."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T18:17:22.583915Z",
"start_time": "2018-03-16T18:17:20.252530Z"
}
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import geopandas as gpd\n",
"import os\n",
"from os.path import join\n",
"import pandas as pd\n",
"import sys\n",
"\n",
"\n",
"sns.set(style='white')\n",
"cwd = os.getcwd()\n",
"data_path = join(cwd, '..', 'Data storage')\n",
"figure_path = join(cwd,'..', 'Figures')\n",
"file_date = '2018-03-06'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:30:57.926475Z",
"start_time": "2018-03-16T01:30:57.915320Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPython 3.6.4\n",
"IPython 6.2.1\n",
"\n",
"pandas 0.22.0\n",
"geopandas 0.3.0\n",
"shapely 1.6.4.post1\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -v -p pandas,geopandas,shapely"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Load the \"autoreload\" extension\n",
"%load_ext autoreload\n",
"\n",
"# always reload modules marked with \"%aimport\"\n",
"%autoreload 1"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# add the 'src' directory as one where we can import modules\n",
"src_dir = join(cwd, os.pardir, 'src')\n",
"sys.path.append(src_dir)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"%aimport Plots.plot\n",
"from Plots.plot import plot_nerc_annual"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read NERC regions shapefile"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:50:57.087464Z",
"start_time": "2018-03-16T13:50:56.795701Z"
}
},
"outputs": [],
"source": [
"path = os.path.join(data_path, 'nercregions', 'NERCregions.shp')\n",
"regions_nerc = gpd.read_file(path)\n",
"regions_nerc['nerc'] = regions_nerc['NERCregion']"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:08.346080Z",
"start_time": "2018-03-16T13:51:08.307554Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" OBJECTID | \n",
" NERCregion | \n",
" SHAPE_Leng | \n",
" SHAPE_Area | \n",
" geometry | \n",
" nerc | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 1 | \n",
" FRCC | \n",
" 22.488030 | \n",
" 11.459289 | \n",
" POLYGON ((-84.86300370899994 30.71266453000004... | \n",
" FRCC | \n",
"
\n",
" \n",
" 1 | \n",
" 2 | \n",
" MRO | \n",
" 76.997961 | \n",
" 130.425939 | \n",
" POLYGON ((-94.8320392469999 49.33080593000005,... | \n",
" MRO | \n",
"
\n",
" \n",
" 2 | \n",
" 3 | \n",
" NPCC | \n",
" 48.574281 | \n",
" 32.754394 | \n",
" (POLYGON ((-72.5509712409999 40.96617993100006... | \n",
" NPCC | \n",
"
\n",
" \n",
" 3 | \n",
" 4 | \n",
" RFC | \n",
" 99.332877 | \n",
" 71.157869 | \n",
" (POLYGON ((-87.92640864299995 44.5391396020000... | \n",
" RFC | \n",
"
\n",
" \n",
" 4 | \n",
" 5 | \n",
" SERC | \n",
" 128.958444 | \n",
" 142.139208 | \n",
" POLYGON ((-80.20680177299994 36.54903791300006... | \n",
" SERC | \n",
"
\n",
" \n",
" 5 | \n",
" 6 | \n",
" SPP | \n",
" 61.523164 | \n",
" 56.496471 | \n",
" POLYGON ((-97.56098691099993 36.38533196100008... | \n",
" SPP | \n",
"
\n",
" \n",
" 6 | \n",
" 7 | \n",
" TRE | \n",
" 44.145641 | \n",
" 50.605118 | \n",
" POLYGON ((-104.4498774409999 32.00686615000006... | \n",
" TRE | \n",
"
\n",
" \n",
" 7 | \n",
" 8 | \n",
" WECC | \n",
" 102.110211 | \n",
" 323.227276 | \n",
" (POLYGON ((-122.6656125679999 48.3967777520000... | \n",
" WECC | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" OBJECTID NERCregion SHAPE_Leng SHAPE_Area \\\n",
"0 1 FRCC 22.488030 11.459289 \n",
"1 2 MRO 76.997961 130.425939 \n",
"2 3 NPCC 48.574281 32.754394 \n",
"3 4 RFC 99.332877 71.157869 \n",
"4 5 SERC 128.958444 142.139208 \n",
"5 6 SPP 61.523164 56.496471 \n",
"6 7 TRE 44.145641 50.605118 \n",
"7 8 WECC 102.110211 323.227276 \n",
"\n",
" geometry nerc \n",
"0 POLYGON ((-84.86300370899994 30.71266453000004... FRCC \n",
"1 POLYGON ((-94.8320392469999 49.33080593000005,... MRO \n",
"2 (POLYGON ((-72.5509712409999 40.96617993100006... NPCC \n",
"3 (POLYGON ((-87.92640864299995 44.5391396020000... RFC \n",
"4 POLYGON ((-80.20680177299994 36.54903791300006... SERC \n",
"5 POLYGON ((-97.56098691099993 36.38533196100008... SPP \n",
"6 POLYGON ((-104.4498774409999 32.00686615000006... TRE \n",
"7 (POLYGON ((-122.6656125679999 48.3967777520000... WECC "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"regions_nerc"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:14.699102Z",
"start_time": "2018-03-16T13:51:14.564849Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"regions_nerc.to_crs(epsg=2163).boundary.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read states shapefile"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:31:06.504376Z",
"start_time": "2018-03-16T01:31:06.438831Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'init': 'epsg:4269'}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = os.path.join(data_path, 'cb_2016_us_state_20m', 'cb_2016_us_state_20m.shp')\n",
"states = gpd.read_file(path)\n",
"states.crs"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:08.768359Z",
"start_time": "2018-03-16T01:32:08.755736Z"
}
},
"outputs": [],
"source": [
"drop_states = ['Alaska', 'Hawaii', 'Puerto Rico']\n",
"states = states.loc[~states['NAME'].isin(drop_states)]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:10.797976Z",
"start_time": "2018-03-16T01:32:10.090678Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"states.to_crs(epsg=2163).plot()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:14.647749Z",
"start_time": "2018-03-16T01:32:14.610175Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 2001 | \n",
" 2017 | \n",
" Reduction | \n",
" Percent Reduction | \n",
" Annual Reduction | \n",
"
\n",
" \n",
" nerc | \n",
" | \n",
" | \n",
" | \n",
" | \n",
" | \n",
"
\n",
" \n",
" \n",
" \n",
" TRE | \n",
" 609.537529 | \n",
" 439.289665 | \n",
" 170.247864 | \n",
" 0.279307 | \n",
" 10.640492 | \n",
"
\n",
" \n",
" WECC | \n",
" 520.591372 | \n",
" 346.313227 | \n",
" 174.278145 | \n",
" 0.334770 | \n",
" 10.892384 | \n",
"
\n",
" \n",
" USA | \n",
" 630.015064 | \n",
" 438.652664 | \n",
" 191.362400 | \n",
" 0.303743 | \n",
" 11.960150 | \n",
"
\n",
" \n",
" SERC | \n",
" 633.312208 | \n",
" 425.263073 | \n",
" 208.049135 | \n",
" 0.328510 | \n",
" 13.003071 | \n",
"
\n",
" \n",
" RFC | \n",
" 675.979943 | \n",
" 461.569398 | \n",
" 214.410546 | \n",
" 0.317185 | \n",
" 13.400659 | \n",
"
\n",
" \n",
" FRCC | \n",
" 647.751776 | \n",
" 410.050361 | \n",
" 237.701415 | \n",
" 0.366964 | \n",
" 14.856338 | \n",
"
\n",
" \n",
" NPCC | \n",
" 414.615688 | \n",
" 172.799260 | \n",
" 241.816428 | \n",
" 0.583230 | \n",
" 15.113527 | \n",
"
\n",
" \n",
" MRO | \n",
" 854.369109 | \n",
" 545.642751 | \n",
" 308.726358 | \n",
" 0.361350 | \n",
" 19.295397 | \n",
"
\n",
" \n",
" SPP | \n",
" 854.155315 | \n",
" 491.243974 | \n",
" 362.911341 | \n",
" 0.424877 | \n",
" 22.681959 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 2001 2017 Reduction Percent Reduction Annual Reduction\n",
"nerc \n",
"TRE 609.537529 439.289665 170.247864 0.279307 10.640492\n",
"WECC 520.591372 346.313227 174.278145 0.334770 10.892384\n",
"USA 630.015064 438.652664 191.362400 0.303743 11.960150\n",
"SERC 633.312208 425.263073 208.049135 0.328510 13.003071\n",
"RFC 675.979943 461.569398 214.410546 0.317185 13.400659\n",
"FRCC 647.751776 410.050361 237.701415 0.366964 14.856338\n",
"NPCC 414.615688 172.799260 241.816428 0.583230 15.113527\n",
"MRO 854.369109 545.642751 308.726358 0.361350 19.295397\n",
"SPP 854.155315 491.243974 362.911341 0.424877 22.681959"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = join(data_path, 'final NERC data',\n",
" 'Summary table {}.csv'.format(file_date))\n",
"index = pd.read_csv(path, index_col='nerc')\n",
"index"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"630.0150637090508"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"index.loc['USA', '2001']"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:21.672922Z",
"start_time": "2018-03-16T13:51:21.597805Z"
}
},
"outputs": [],
"source": [
"# Add 2001, 2017, and % reduction values from summary table to geodataframe\n",
"for nerc in regions_nerc['nerc'].unique():\n",
" try:\n",
" val_2017 = index.loc[nerc, '2017']\n",
" val_2001 = index.loc[nerc, '2001']\n",
" reduce = index.loc[nerc, 'Percent Reduction']\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 2017] = val_2017\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 2001] = val_2001\n",
" \n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 'reduction'] = '{:.0%}'.format(reduce)\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 'reduction value'] = reduce\n",
" except:\n",
" pass\n",
"\n",
"# Define national parameters for use in plot titles\n",
"usa_2001 = index.loc['USA', '2001']\n",
"usa_2017 = index.loc['USA', '2017']"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" OBJECTID | \n",
" NERCregion | \n",
" SHAPE_Leng | \n",
" SHAPE_Area | \n",
" geometry | \n",
" nerc | \n",
" 2017 | \n",
" 2001 | \n",
" reduction | \n",
" reduction value | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 1 | \n",
" FRCC | \n",
" 22.488030 | \n",
" 11.459289 | \n",
" POLYGON ((-84.86300370899994 30.71266453000004... | \n",
" FRCC | \n",
" 410.050361 | \n",
" 647.751776 | \n",
" 37% | \n",
" 0.366964 | \n",
"
\n",
" \n",
" 1 | \n",
" 2 | \n",
" MRO | \n",
" 76.997961 | \n",
" 130.425939 | \n",
" POLYGON ((-94.8320392469999 49.33080593000005,... | \n",
" MRO | \n",
" 545.642751 | \n",
" 854.369109 | \n",
" 36% | \n",
" 0.361350 | \n",
"
\n",
" \n",
" 2 | \n",
" 3 | \n",
" NPCC | \n",
" 48.574281 | \n",
" 32.754394 | \n",
" (POLYGON ((-72.5509712409999 40.96617993100006... | \n",
" NPCC | \n",
" 172.799260 | \n",
" 414.615688 | \n",
" 58% | \n",
" 0.583230 | \n",
"
\n",
" \n",
" 3 | \n",
" 4 | \n",
" RFC | \n",
" 99.332877 | \n",
" 71.157869 | \n",
" (POLYGON ((-87.92640864299995 44.5391396020000... | \n",
" RFC | \n",
" 461.569398 | \n",
" 675.979943 | \n",
" 32% | \n",
" 0.317185 | \n",
"
\n",
" \n",
" 4 | \n",
" 5 | \n",
" SERC | \n",
" 128.958444 | \n",
" 142.139208 | \n",
" POLYGON ((-80.20680177299994 36.54903791300006... | \n",
" SERC | \n",
" 425.263073 | \n",
" 633.312208 | \n",
" 33% | \n",
" 0.328510 | \n",
"
\n",
" \n",
" 5 | \n",
" 6 | \n",
" SPP | \n",
" 61.523164 | \n",
" 56.496471 | \n",
" POLYGON ((-97.56098691099993 36.38533196100008... | \n",
" SPP | \n",
" 491.243974 | \n",
" 854.155315 | \n",
" 42% | \n",
" 0.424877 | \n",
"
\n",
" \n",
" 6 | \n",
" 7 | \n",
" TRE | \n",
" 44.145641 | \n",
" 50.605118 | \n",
" POLYGON ((-104.4498774409999 32.00686615000006... | \n",
" TRE | \n",
" 439.289665 | \n",
" 609.537529 | \n",
" 28% | \n",
" 0.279307 | \n",
"
\n",
" \n",
" 7 | \n",
" 8 | \n",
" WECC | \n",
" 102.110211 | \n",
" 323.227276 | \n",
" (POLYGON ((-122.6656125679999 48.3967777520000... | \n",
" WECC | \n",
" 346.313227 | \n",
" 520.591372 | \n",
" 33% | \n",
" 0.334770 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" OBJECTID NERCregion SHAPE_Leng SHAPE_Area \\\n",
"0 1 FRCC 22.488030 11.459289 \n",
"1 2 MRO 76.997961 130.425939 \n",
"2 3 NPCC 48.574281 32.754394 \n",
"3 4 RFC 99.332877 71.157869 \n",
"4 5 SERC 128.958444 142.139208 \n",
"5 6 SPP 61.523164 56.496471 \n",
"6 7 TRE 44.145641 50.605118 \n",
"7 8 WECC 102.110211 323.227276 \n",
"\n",
" geometry nerc 2017 \\\n",
"0 POLYGON ((-84.86300370899994 30.71266453000004... FRCC 410.050361 \n",
"1 POLYGON ((-94.8320392469999 49.33080593000005,... MRO 545.642751 \n",
"2 (POLYGON ((-72.5509712409999 40.96617993100006... NPCC 172.799260 \n",
"3 (POLYGON ((-87.92640864299995 44.5391396020000... RFC 461.569398 \n",
"4 POLYGON ((-80.20680177299994 36.54903791300006... SERC 425.263073 \n",
"5 POLYGON ((-97.56098691099993 36.38533196100008... SPP 491.243974 \n",
"6 POLYGON ((-104.4498774409999 32.00686615000006... TRE 439.289665 \n",
"7 (POLYGON ((-122.6656125679999 48.3967777520000... WECC 346.313227 \n",
"\n",
" 2001 reduction reduction value \n",
"0 647.751776 37% 0.366964 \n",
"1 854.369109 36% 0.361350 \n",
"2 414.615688 58% 0.583230 \n",
"3 675.979943 32% 0.317185 \n",
"4 633.312208 33% 0.328510 \n",
"5 854.155315 42% 0.424877 \n",
"6 609.537529 28% 0.279307 \n",
"7 520.591372 33% 0.334770 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"regions_nerc"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Transform projection to Albers equal area"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:28.909332Z",
"start_time": "2018-03-16T13:51:28.881645Z"
}
},
"outputs": [],
"source": [
"regions_albers = regions_nerc.to_crs(epsg=2163)\n",
"states_albers = states.to_crs(epsg=2163)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Maps of 2001 and 2017 annual values"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T14:16:03.765622Z",
"start_time": "2018-03-16T14:16:02.738744Z"
}
},
"outputs": [
{
"data": {
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\n",
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