2. Data visualisation (Spatial attribution).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9aeb7119-1c25-4b92-9ac5-c185efa5f96d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# For tracking changes in data generated through script and GEE attribution dataset\n",
    "Dataset_version = 1\n",
    "GEE_data_version = 0\n",
    "Python_script_version = 1\n",
    "Year = '(2001-2022)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6304d3f5-5d1b-432b-a881-4ef8337eafb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2f54ab2e-a34d-40b6-b1eb-e425fc6be756",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "87f76604-6093-4cfa-a8ee-e7bea0416a24",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the feature collection needed to simulate aggregation\n",
    "df_geometry = pd.read_csv(\"/home/chandra/backup/Chalmers/GADM_Boundaries.csv\")\n",
    "\n",
    "# Sample dataframe\n",
    "# Groupby and count\n",
    "counts = df_geometry.groupby('COUNTRY').size().reset_index(name='count')\n",
    "\n",
    "# Resulting dataframe with distinct values and count of each value\n",
    "result = pd.DataFrame(counts[['COUNTRY', 'count']]).sort_values(by='COUNTRY')#, ascending=False)\n",
    "#result[0:20]\n",
    "#result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "908c9da1-862c-46fe-958b-b89824cf1678",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Afghanistan', 'Akrotiri and Dhekelia', 'Albania', 'Algeria',\n",
       "       'American Samoa', 'Andorra', 'Angola', 'Anguilla',\n",
       "       'Antigua and Barbuda', 'Argentina', 'Armenia', 'Aruba',\n",
       "       'Australia', 'Austria', 'Azerbaijan', 'Bahamas', 'Bahrain',\n",
       "       'Bangladesh', 'Barbados', 'Belarus', 'Belgium', 'Belize', 'Benin',\n",
       "       'Bermuda', 'Bhutan', 'Bolivia', 'Bonaire, Sint Eustatius and Saba',\n",
       "       'Bosnia and Herzegovina', 'Botswana', 'Bouvet Island', 'Brazil',\n",
       "       'British Indian Ocean Territory', 'British Virgin Islands',\n",
       "       'Brunei', 'Bulgaria', 'Burkina Faso', 'Burundi', 'Cabo Verde',\n",
       "       'Cambodia', 'Cameroon', 'Canada', 'Caspian Sea', 'Cayman Islands',\n",
       "       'Central African Republic', 'Chad', 'Chile', 'China',\n",
       "       'Christmas Island', 'Clipperton Island', 'Cocos Islands',\n",
       "       'Colombia', 'Comoros', 'Cook Islands', 'Costa Rica', 'Croatia',\n",
       "       'Cuba', 'Curaçao', 'Cyprus', 'Czechia', \"Côte d'Ivoire\",\n",
       "       'Democratic Republic of the Congo', 'Denmark', 'Djibouti',\n",
       "       'Dominica', 'Dominican Republic', 'Ecuador', 'Egypt',\n",
       "       'El Salvador', 'Equatorial Guinea', 'Eritrea', 'Estonia',\n",
       "       'Ethiopia', 'Falkland Islands', 'Faroe Islands', 'Fiji', 'Finland',\n",
       "       'France', 'French Guiana', 'French Polynesia',\n",
       "       'French Southern Territories', 'Gabon', 'Gambia', 'Georgia',\n",
       "       'Germany', 'Ghana', 'Gibraltar', 'Greece', 'Greenland', 'Grenada',\n",
       "       'Guadeloupe', 'Guam', 'Guatemala', 'Guernsey', 'Guinea',\n",
       "       'Guinea-Bissau', 'Guyana', 'Haiti',\n",
       "       'Heard Island and McDonald Island', 'Honduras', 'Hungary',\n",
       "       'Iceland', 'India', 'Indonesia', 'Iran', 'Iraq', 'Ireland',\n",
       "       'Isle of Man', 'Israel', 'Italy', 'Jamaica', 'Japan', 'Jersey',\n",
       "       'Jordan', 'Kazakhstan', 'Kenya', 'Kiribati', 'Kosovo', 'Kuwait',\n",
       "       'Kyrgyzstan', 'Laos', 'Latvia', 'Lebanon', 'Lesotho', 'Liberia',\n",
       "       'Libya', 'Liechtenstein', 'Lithuania', 'Luxembourg', 'Madagascar',\n",
       "       'Malawi', 'Malaysia', 'Maldives', 'Mali', 'Malta',\n",
       "       'Marshall Islands', 'Martinique', 'Mauritania', 'Mauritius',\n",
       "       'Mayotte', 'Micronesia', 'Moldova', 'Monaco', 'Mongolia',\n",
       "       'Montenegro', 'Montserrat', 'Morocco', 'Mozambique', 'Myanmar',\n",
       "       'México', 'Namibia', 'Nauru', 'Nepal', 'Netherlands',\n",
       "       'New Caledonia', 'New Zealand', 'Nicaragua', 'Niger', 'Nigeria',\n",
       "       'Niue', 'Norfolk Island', 'North Korea', 'North Macedonia',\n",
       "       'Northern Cyprus', 'Northern Mariana Islands', 'Norway', 'Oman',\n",
       "       'Pakistan', 'Palau', 'Palestine', 'Panama', 'Papua New Guinea',\n",
       "       'Paracel Islands', 'Paraguay', 'Peru', 'Philippines',\n",
       "       'Pitcairn Islands', 'Poland', 'Portugal', 'Puerto Rico', 'Qatar',\n",
       "       'Republic of the Congo', 'Romania', 'Russia', 'Rwanda', 'Réunion',\n",
       "       'Saint Helena, Ascension and Tris', 'Saint Kitts and Nevis',\n",
       "       'Saint Lucia', 'Saint Pierre and Miquelon',\n",
       "       'Saint Vincent and the Grenadines', 'Saint-Barthélemy',\n",
       "       'Saint-Martin', 'Samoa', 'San Marino', 'Saudi Arabia', 'Senegal',\n",
       "       'Serbia', 'Seychelles', 'Sierra Leone', 'Singapore',\n",
       "       'Sint Maarten', 'Slovakia', 'Slovenia', 'Solomon Islands',\n",
       "       'Somalia', 'South Africa', 'South Georgia and the South Sand',\n",
       "       'South Korea', 'South Sudan', 'Spain', 'Spratly Islands',\n",
       "       'Sri Lanka', 'Sudan', 'Suriname', 'Svalbard and Jan Mayen',\n",
       "       'Swaziland', 'Sweden', 'Switzerland', 'Syria',\n",
       "       'São Tomé and Príncipe', 'Taiwan', 'Tajikistan', 'Tanzania',\n",
       "       'Thailand', 'Timor-Leste', 'Togo', 'Tokelau', 'Tonga',\n",
       "       'Trinidad and Tobago', 'Tunisia', 'Turkey', 'Turkmenistan',\n",
       "       'Turks and Caicos Islands', 'Tuvalu', 'Uganda', 'Ukraine',\n",
       "       'United Arab Emirates', 'United Kingdom', 'United States',\n",
       "       'United States Minor Outlying Isl', 'Uruguay', 'Uzbekistan',\n",
       "       'Vanuatu', 'Vatican City', 'Venezuela', 'Vietnam',\n",
       "       'Virgin Islands, U.S.', 'Wallis and Futuna', 'Western Sahara',\n",
       "       'Yemen', 'Zambia', 'Zimbabwe', 'Åland'], dtype=object)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result['COUNTRY'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8830ec0b-0d26-4f3e-a11c-3cfa997c9908",
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_forest_loss_files(Country):\n",
    "    directory_path = '/home/chandra/backup/Chalmers/DeDuCE v'+str(Dataset_version)+'.'+str(GEE_data_version)+'.'+str(Python_script_version)+' ' + Year+'/DeDuCE_dataset_GEE'\n",
    "    \n",
    "    # Addressing special character in country names\n",
    "    if Country == 'Åland':\n",
    "        Country = 'Aland'\n",
    "    if Country =='Côte d\\'Ivoire':\n",
    "        Country = 'Cote dIvoire'\n",
    "    if Country == 'Curaçao':\n",
    "        Country = 'Curacao'\n",
    "    if Country == 'México':\n",
    "        Country = 'Mexico'\n",
    "    if Country == 'Réunion':\n",
    "        Country = 'Reunion'\n",
    "    if Country == 'Saint-Barthélemy':\n",
    "        Country = 'Saint-Barthelemy'\n",
    "    if Country == 'São Tomé and Príncipe':\n",
    "        Country = 'Sao Tome and Principe'\n",
    "\n",
    "    # Searches for forest loss files for the specified countries in the directory and merges the data across rows\n",
    "    classification_files = []    \n",
    "    classification_file_pattern = 'Forest_loss_to_CLASSIFICATION_' + str(Country) + '_'\n",
    "        \n",
    "    # Get a list of all the matching file paths\n",
    "    FLC_file_paths = [os.path.join(directory_path, f) for f in os.listdir(directory_path) if classification_file_pattern in f]\n",
    "\n",
    "    # The code will show an error when multiple files are read for the same category\n",
    "    if len(FLC_file_paths) > 1:\n",
    "        print('\\033[91m' + 'Multiple forest loss attribution files for the same country' + '\\033[0m')\n",
    "        \n",
    "    try:\n",
    "        classification_file = pd.read_csv(FLC_file_paths[0])\n",
    "    except pd.errors.EmptyDataError:    \n",
    "        return None\n",
    "    # Merge the data across rows\n",
    "    #merged_classification = pd.concat(classification_files, ignore_index=True)\n",
    "    #return classification and AGB/BGB files\n",
    "    return classification_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "573b0e3e-86d2-40b0-a6e9-2f6ce999507f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualise_attribution(Forest_loss_attributed, Country):\n",
    "    global df, color_values\n",
    "    df = (Forest_loss_attributed.groupby(['COUNTRY', 'Class']).sum().reset_index()[['COUNTRY', 'Class'] \\\n",
    "                            + [f'loss_{year}' for year in range(2001, 2023)]]).iloc[:,1:]\n",
    "    df.set_index('Class', inplace=True)\n",
    "    df = df.sort_index(ascending=False)\n",
    "\n",
    "    # Get the index values between -100 and 2100\n",
    "    custom_index = sorted(list(set(df.index).intersection(range(-2100, -1299))))\n",
    "\n",
    "    # Get the remaining index values\n",
    "    remaining_index = sorted(list(set(df.index).difference(custom_index)))\n",
    "    remaining_index.sort(reverse=True)\n",
    "    # Concatenate the two lists of index values\n",
    "    new_index = remaining_index+custom_index\n",
    "\n",
    "    # Reindex the dataframe using the new index\n",
    "    df = df.reindex(new_index)\n",
    "\n",
    "    color = pd.read_excel('/home/chandra/backup/Chalmers/DeDuCE v'+str(Dataset_version)+'.'+str(GEE_data_version)+'.'+str(Python_script_version)+' ' + \n",
    "                          Year+'/Supplementary_data-DeDuCE v1.xlsx', sheet_name = 'Color scheme')\n",
    "\n",
    "    color_values = []\n",
    "    #\"\"\"\n",
    "    for i in df.index:\n",
    "        #print(i, ':', color[color['Re-classification code'] == i]['Color'].values[0])\n",
    "        color_values.append(color[color['Re-classification code'] == i]['Color'].values[0])\n",
    "    \"\"\"\n",
    "    for i in df.index:\n",
    "        if i < 0:\n",
    "            color_values.append('#bdbdbd')\n",
    "        else:\n",
    "            color_values.append('#5ab4ac')\n",
    "    \"\"\"\n",
    "\n",
    "    import matplotlib.ticker as ticker\n",
    "\n",
    "    fig, ax1 = plt.subplots(figsize = (10,4), dpi = 300)\n",
    "\n",
    "    # List of colors for each bar\n",
    "    bottom = 0\n",
    "    # Create the plot\n",
    "    for i in range(len(df)):\n",
    "        if df.index[i] < 0:\n",
    "            opacity = 0.45\n",
    "            hatch = ''\n",
    "            if (df.index[i] <= -100) & (df.index[i] >= -2100):\n",
    "               hatch = '///'\n",
    "        else: \n",
    "            opacity = 0.9\n",
    "            hatch = ''\n",
    "        if i == 0:\n",
    "            ax1.bar(range(2001, 2000+len(df.iloc[i])+1), df.iloc[i], color = color_values[i], alpha = opacity, width = 0.80, hatch = hatch)\n",
    "            bottom = df.iloc[i]\n",
    "            continue\n",
    "        ax1.bar(range(2001, 2000+len(df.iloc[i])+1), df.iloc[i], bottom=bottom, color = color_values[i], alpha = opacity, width = 0.80, hatch = hatch)\n",
    "        bottom = bottom+df.iloc[i]\n",
    "\n",
    "    df_forest_loss = (Forest_loss_attributed.groupby(['COUNTRY']).sum().reset_index()[['COUNTRY'] + [f'loss_{year}' for year in range(2001, 2023)]]).iloc[:,1:] \n",
    "    ax1.bar(range(2001, 2000+len(df_forest_loss.iloc[0])+1), df_forest_loss.iloc[0], edgecolor=\"black\", linewidth=0.05, facecolor = 'None', width = 0.80)\n",
    "    ax1.step(range(2000, 2000+len(df_forest_loss.iloc[0])+2), np.append(np.append(df_forest_loss.iloc[0].values[0], df_forest_loss.iloc[0].values), \n",
    "                                                                        df_forest_loss.iloc[0].values[-1]), linewidth=1.5, color=\"k\",where=\"mid\", zorder = 10, ls = '--')\n",
    "\n",
    "    old_sum = (df[df.index >= 0].sum()).values\n",
    "    old_sum = np.append(np.append(old_sum[0], old_sum), old_sum[-1])\n",
    "\n",
    "    ax1.step(range(2000, 2000+len(df_forest_loss.iloc[0])+2), old_sum, linewidth=1.5, color=\"k\",where=\"mid\", zorder = 15)\n",
    "    ax1.legend(loc=\"upper left\", bbox_to_anchor=(1,1))\n",
    "\n",
    "    ax1.tick_params(axis='x', which='both', bottom=True, top=False, labelbottom=True)\n",
    "    ax1.tick_params(axis='both', which='major', labelsize=15, width=1.5, length=6)\n",
    "\n",
    "    ax1.spines['right'].set_visible(False)\n",
    "    ax1.spines['top'].set_visible(False)\n",
    "    ax1.set_xlim(2000.4,)\n",
    "\n",
    "    import matplotlib.patches as mpatches\n",
    "\n",
    "    patch = {}\n",
    "    patches = []\n",
    "    for i in range(len(color_values)):\n",
    "        patch[i] = mpatches.Patch(color=color_values[i], label=df.index[i])\n",
    "\n",
    "    for i in range(len(color_values)):\n",
    "        patches.append(patch[i])\n",
    "\n",
    "    # Define the formatting function\n",
    "    def millions_formatter(x, pos):\n",
    "        return '{:.0f}k ha'.format(x / 1000)\n",
    "\n",
    "    # Setting the number of ticks\n",
    "    ax1.set_xticks([2001, 2005, 2010, 2015, 2020])\n",
    "    ax1.yaxis.set_major_formatter(ticker.FuncFormatter(millions_formatter))\n",
    "\n",
    "    # change all spines\n",
    "    for axis in ['top','bottom','left','right']:\n",
    "        ax1.spines[axis].set_linewidth(1.5)\n",
    "    ax1.set_title(Country, fontsize = 15)\n",
    "    ax1.legend(handles=patches, loc=\"upper left\", bbox_to_anchor=(1,1), ncol=4, fontsize = '5')\n",
    "    ax1.set_ylabel('Deforestation', fontsize = 15)\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "ab9c1235-8715-4ff5-811c-0f5d868637c0",
   "metadata": {},
   "source": [
    "Significant changes in due to fire layer:\n",
    "1. Albania (relatively small)\n",
    "2. Bahamas (relatively small)\n",
    "3. Canada (large)\n",
    "4. Chile (large)\n",
    "5. Rusia (large)"
   ]
  },
  {
   "cell_type": "raw",
   "id": "73c16fd0-3f7a-4253-8c60-f62a9280a735",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "for Country in result['COUNTRY'].values:\n",
    "    #print(Country)\n",
    "    if Country in ['Greenland', 'Kiribati', 'United States', 'Canada']:\n",
    "        continue\n",
    "    Forest_loss_attributed = find_forest_loss_files(Country)\n",
    "    if Forest_loss_attributed.empty:\n",
    "        continue\n",
    "    visualise_attribution(Forest_loss_attributed, Country)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b6a89c12-81cd-45a7-89e3-10edd50d00f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 3000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for Country in ['United States', 'Canada']:\n",
    "    Forest_loss_attributed = find_forest_loss_files(Country)\n",
    "    if Forest_loss_attributed.empty:\n",
    "        continue\n",
    "    visualise_attribution(Forest_loss_attributed, Country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b84a17cc-a1bd-4565-a010-559d15304d88",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}