{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "from shapely.geometry import asShape\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pycno\n", "import PseudoNetCDF as pnc\n", "from osgeo import ogr, osr\n", "import pandas as pd\n", "from collections import OrderedDict\n", "\n", "ogr.UseExceptions()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "shppath = '/work/ROMO/gis_rasters/NaturalEarth/shapefiles/ne_10m_admin_1_states_provinces.shp'\n", "grdpath = '/home/bhenders/GRIDDESC'\n", "gdnam = '12US2'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "gf = pnc.pncopen(grdpath, format='griddesc', GDNAM=gdnam)\n", "lons, lats = gf.ij2ll(*np.meshgrid(np.arange(gf.NCOLS), np.arange(gf.NROWS)))\n", "statef = ogr.Open('/work/ROMO/gis_rasters/NaturalEarth/shapefiles/ne_10m_admin_1_states_provinces.shp')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "+proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=2412000 +y_0=1620000 +a=6370000 +b=6370000 +units=m +no_defs \n", "+proj=longlat +datum=WGS84 +no_defs \n" ] } ], "source": [ "lcc_sref = osr.SpatialReference()\n", "proj4str = gf.getproj(withgrid=False, projformat='proj4')\n", "lcc_sref.ImportFromProj4(proj4str)\n", "print(lcc_sref.ExportToProj4())\n", "\n", "layer = statef.GetLayer(0)\n", "layer_sref = layer.GetSpatialRef()\n", "print(layer_sref.ExportToProj4())\n", "layer2lcc = osr.CoordinateTransformation(layer_sref, lcc_sref)\n", "\n", "nfeats = layer.GetFeatureCount()\n", "usstates = OrderedDict()\n", "\n", "for fi in range(nfeats):\n", " feat = layer.GetFeature(fi)\n", " code_hasc = feat['code_hasc']\n", " if code_hasc.startswith('US.') and code_hasc not in ('US.AK', 'US.HI'):\n", " geom = feat.GetGeometryRef()\n", " geom.Transform(layer2lcc)\n", " usstates[code_hasc] = feat\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(4594, 50)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nfeats, len(usstates)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "def distfromhasc(lons, lats, hasc):\n", " distances = lons * np.nan\n", " # statef = ogr.Open('/work/ROMO/gis_rasters/NaturalEarth/shapefiles/ne_10m_admin_1_states_provinces.shp')\n", " # sql = f\"SELECT code_hasc FROM ne_10m_admin_1_states_provinces WHERE code_hasc = '{hasc}'\"\n", " # layer = statef.ExecuteSQL(sql)\n", " # feat = layer.GetNextFeature()\n", " # geom = feat.GetGeometryRef()\n", " # feat['code_hasc']\n", " feat = usstates[hasc]\n", " geom = feat.GetGeometryRef()\n", " \n", " for j in np.arange(gf.NROWS):\n", " y = (j + 0.5) * gf.YCELL\n", " print(j, end='.', flush=True)\n", " for i in np.arange(gf.NCOLS):\n", " x = (i + 0.5) * gf.XCELL\n", " # x = lons[j, i]\n", " # y = lats[j, i]\n", " pt = ogr.Geometry(ogr.wkbPoint)\n", " pt.AddPoint(x, y)\n", " # pt.Transform(layer2lcc)\n", " distances[j, i] = pt.Distance(geom)\n", " return distances" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "hascs = sorted(list(usstates))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "distances = {}\n", "vals = {}" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", 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"US.SD:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.TN:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.TX:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.UT:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.VA:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.VT:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.WA:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.WI:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.WV:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245.\n", "US.WY:0.1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.31.32.33.34.35.36.37.38.39.40.41.42.43.44.45.46.47.48.49.50.51.52.53.54.55.56.57.58.59.60.61.62.63.64.65.66.67.68.69.70.71.72.73.74.75.76.77.78.79.80.81.82.83.84.85.86.87.88.89.90.91.92.93.94.95.96.97.98.99.100.101.102.103.104.105.106.107.108.109.110.111.112.113.114.115.116.117.118.119.120.121.122.123.124.125.126.127.128.129.130.131.132.133.134.135.136.137.138.139.140.141.142.143.144.145.146.147.148.149.150.151.152.153.154.155.156.157.158.159.160.161.162.163.164.165.166.167.168.169.170.171.172.173.174.175.176.177.178.179.180.181.182.183.184.185.186.187.188.189.190.191.192.193.194.195.196.197.198.199.200.201.202.203.204.205.206.207.208.209.210.211.212.213.214.215.216.217.218.219.220.221.222.223.224.225.226.227.228.229.230.231.232.233.234.235.236.237.238.239.240.241.242.243.244.245." ] } ], "source": [ "for hasc in hascs:\n", " print(f'\\n{hasc}', end=':', flush=True)\n", " if hasc not in distances:\n", " distances[hasc] = distfromhasc(lons, lats, hasc)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.pcolormesh(distances['US.AL'], vmax=20e3)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "outf = gf.subset([])\n", "delattr(outf, 'Conventions')\n", "del outf.dimensions['nv']\n", "for hasc in list(distances):\n", " outkey = hasc.replace('.', '_')\n", " outv = outf.copyVariable(gf.variables['DUMMY'], key=outkey)\n", " outv.units = 'm'\n", " outv.long_desc = f'{hasc}'\n", " outv.var_desc = f'Distance in m from HASC Code: {hasc} to cell center'\n", " outv[:] = distances[hasc]" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "delattr(outf, 'VAR-LIST')\n", "outf.SDATE = 1970001\n", "outf.TSTEP = 10000\n", "outf.updatemeta()\n", "outf.updatetflag(overwrite=True)\n", "outf.variables['TFLAG'][:, :, 0] = 0\n", "outf.SDATE = -635\n", "outf.TSTEP = 0\n", "outf.variables.move_to_end('TFLAG', last=False)\n", "outf.FILEDESC = \"\"\"Distance to US States based on Natural Earther 10e6:1 resolution shapefile\"\"\".ljust(4800)\n", "outf.HISTORY = \"Created using NaturalEarth_for_CMAQ_Distance.ipynb\".ljust(4800)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Adding dimensions\n", "Adding globals\n", "Adding variables\n", "Defining TFLAG\n", "Defining US_AL\n", "Defining US_AR\n", "Defining US_AZ\n", "Defining US_CA\n", "Defining US_CO\n", "Defining US_CT\n", "Defining US_DC\n", "Defining US_DE\n", "Defining US_FL\n", "Defining US_GA\n", "Defining US_IA\n", "Defining US_ID\n", "Defining US_IL\n", "Defining US_IN\n", "Defining US_KS\n", "Defining US_KY\n", "Defining US_LA\n", "Defining US_MA\n", "Defining US_MD\n", "Defining US_ME\n", "Defining US_MI\n", "Defining US_MN\n", "Defining US_MO\n", "Defining US_MS\n", "Defining US_MT\n", "Defining US_NC\n", "Defining US_ND\n", "Defining US_NE\n", "Defining US_NH\n", "Defining US_NJ\n", "Defining US_NM\n", "Defining US_NV\n", "Defining US_NY\n", "Defining US_OH\n", "Defining US_OK\n", "Defining US_OR\n", "Defining US_PA\n", "Defining US_RI\n", "Defining US_SC\n", "Defining US_SD\n", "Defining US_TN\n", "Defining US_TX\n", "Defining US_UT\n", "Defining US_VA\n", "Defining US_VT\n", "Defining US_WA\n", "Defining US_WI\n", "Defining US_WV\n", "Defining US_WY\n", "Populating TFLAG\n", "Populating US_AL\n", "Populating US_AR\n", "Populating US_AZ\n", "Populating US_CA\n", "Populating US_CO\n", "Populating US_CT\n", "Populating US_DC\n", "Populating US_DE\n", "Populating US_FL\n", "Populating US_GA\n", "Populating US_IA\n", "Populating US_ID\n", "Populating US_IL\n", "Populating US_IN\n", "Populating US_KS\n", "Populating US_KY\n", "Populating US_LA\n", "Populating US_MA\n", "Populating US_MD\n", "Populating US_ME\n", "Populating US_MI\n", "Populating US_MN\n", "Populating US_MO\n", "Populating US_MS\n", "Populating US_MT\n", "Populating US_NC\n", "Populating US_ND\n", "Populating US_NE\n", "Populating US_NH\n", "Populating US_NJ\n", "Populating US_NM\n", "Populating US_NV\n", "Populating US_NY\n", "Populating US_OH\n", "Populating US_OK\n", "Populating US_OR\n", "Populating US_PA\n", "Populating US_RI\n", "Populating US_SC\n", "Populating US_SD\n", "Populating US_TN\n", "Populating US_TX\n", "Populating US_UT\n", "Populating US_VA\n", "Populating US_VT\n", "Populating US_WA\n", "Populating US_WI\n", "Populating US_WV\n", "Populating US_WY\n" ] } ], "source": [ "outf.save(f'output/ne_10m_admin_1_states_provinces_distance_to_US_States.{gdnam}.nc', format='NETCDF3_CLASSIC').close()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "anaconda", "language": "python", "name": "anaconda" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 4 }