2_Data-visualization/2.4 پروجکشن نقشه.ipynb

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   "cell_type": "markdown",
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   "source": [
    "<h1 dir=\"rtl\">مقدمه‌ای درباره نگاشت نقشه</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br />\n",
    "\n",
    "<a href=\"https://www.youtube.com/watch?v=clgQisHl-Ms&list=PLY_JJbHwd6kftjlcbtChIKZfEPEfFRGcY&index=21&ab_channel=TheInternationalJournalists%27Network\">\n",
    "<img src=\"https://dotnet-talk.com/images/icfj/2_4.jpg\" width=\"50%\" alt=\"مقدمه ای بر نگاشت نقشه - ویدیو\" />\n",
    "</a>\n",
    "\n",
    "<br />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cCfZC8mHyxl1"
   },
   "source": [
    "<h3 dir=\"rtl\">نصب کتابخانه‌های مورد نیاز</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "mhm-x75egifC"
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   "source": [
    "# import the libraries we need to load data and create map projections\n",
    "\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aWrjtiC7zNI7"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "    کتابخانه <a href=\"https://geopandas.org/en/stable/docs/user_guide/io.html\">geopandas</a> برای پردازش و نمایش فایل‌های شکل (shapefile) استفاده می‌شود. فرمت shapefile حاوی داده‌های جغرافیایی است و با استفاده از GeoDataFrames (یک نوع داده‌فریم که فقط یک نوع \"هندسه\" را شامل می‌شود - بردار نقطه، خط یا چندضلعی) این فایل‌ها پردازش و نمایش داده می‌شوند.\n",
    "</div>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "    این اشکال در یک GeoDataFrame (یا اشکال هندسی) یک مجموعه از مختصات در یک فضا هستند. یک سامانه مرجع مختصات یا CRS، اطلاعات مربوط به نحوه تعامل این مجموعه‌های مختصات با مکان‌های واقعی روی زمین را به پایتون ارائه می‌دهد.\n",
    "</div>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "    یک نقشه‌بندی یا Map Projection یک سامانه مختصات \"پراجکت شده\" است، به عبارت دیگر یک روش خاص برای ترجمه عرض جغرافیایی و طول جغرافیایی به روی یک سطح است.\n",
    "</div>"
   ]
  },
  {
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   "metadata": {
    "id": "Z__qYy00w58b"
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   "source": [
    "<div dir=\"rtl\">\n",
    "    <h3>بارگیری فایل شکل</h3>\n",
    "</div>\n",
    "<div dir=\"rtl\">\n",
    "    <p>بیایید با یک فایل شکل سال 2015 از بخش‌های اداری درجه یک ایران یا استان‌های ایران کار کنیم. طبق توضیحات آن، مرزهای استان‌ها بر اساس سیستم مختصات WGS84 (World Geodetic System) نقشه‌برداری شده است.</p>\n",
    "    <p>برای دسترسی به این فایل شکل، <a href=\"https://geodata.lib.utexas.edu/catalog/stanford-dv126wm3595\">اینجا</a> را کلیک کنید.</p>\n",
    "</div>\n",
    "<div dir=\"rtl\">\n",
    "    <p>WGS84 مخفف سیستم جهانی ژئوتیک است. این سیستم شامل یک کره مرجع (یک <a href=\"https://mathworld.wolfram.com/Ellipsoid.html\">شکل کروی</a> یا شکلی مانند کره که به شدت شبیه به زمین است)، یک سیستم مختصات استاندارد (که در آن x، y و z (ارتفاع) فضای سه بعدی را نشان می‌دهند)، داده‌های ارتفاع (یا ارتفاع) و یک ژئو ای دی (که به تعریف سطح آب نیز کمک می‌کند). سیستم مرجع مختصات WGS84 از مرکز جرم زمین به عنوان مبدأ مختصات استفاده می‌کند.</p>\n",
    "</div>"
   ]
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   "execution_count": 2,
   "metadata": {
    "id": "R3w7jJ9cTsRj"
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   "source": [
    "# loading the shapefile with geopandas (gpd)\n",
    "\n",
    "raw_shp_file_path = \"../input/irn_adm_unhcr_20190514_shp/irn_admbnda_adm1_unhcr_20190514.shp\"\n",
    "iran_provinces = gpd.read_file(raw_shp_file_path)"
   ]
  },
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>ADM1_EN</th>\n",
       "      <th>ADM1_FA</th>\n",
       "      <th>ADM1_PCODE</th>\n",
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       "      <th>0</th>\n",
       "      <td>4.346753</td>\n",
       "      <td>0.523109</td>\n",
       "      <td>Alborz</td>\n",
       "      <td>البرز‎</td>\n",
       "      <td>IR001</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Iran (Islamic Republic of)</td>\n",
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       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
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       "      <td>POLYGON ((50.49594 36.34221, 50.50150 36.34166...</td>\n",
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       "      <th>1</th>\n",
       "      <td>10.218890</td>\n",
       "      <td>1.845273</td>\n",
       "      <td>Ardabil</td>\n",
       "      <td>اردبیل</td>\n",
       "      <td>IR002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((48.03206 39.69253, 48.09512 39.63819...</td>\n",
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       "      <th>2</th>\n",
       "      <td>16.019141</td>\n",
       "      <td>2.088545</td>\n",
       "      <td>Bushehr</td>\n",
       "      <td>بوشهر</td>\n",
       "      <td>IR003</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MULTIPOLYGON (((51.41462 27.90553, 51.41510 27...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.087819</td>\n",
       "      <td>1.555897</td>\n",
       "      <td>Chaharmahal and Bakhtiari</td>\n",
       "      <td>چهارمحال و بختیاری</td>\n",
       "      <td>IR004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((49.72980 32.80907, 49.73119 32.80851...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14.145806</td>\n",
       "      <td>4.646606</td>\n",
       "      <td>East Azerbaijan</td>\n",
       "      <td>آذربایجان شرقی</td>\n",
       "      <td>IR005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((47.36634 39.41979, 47.37967 39.40590...</td>\n",
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       "   Shape_Leng  Shape_Area                    ADM1_EN             ADM1_FA  \\\n",
       "0    4.346753    0.523109                     Alborz              البرز‎   \n",
       "1   10.218890    1.845273                    Ardabil              اردبیل   \n",
       "2   16.019141    2.088545                    Bushehr               بوشهر   \n",
       "3    7.087819    1.555897  Chaharmahal and Bakhtiari  چهارمحال و بختیاری   \n",
       "4   14.145806    4.646606            East Azerbaijan      آذربایجان شرقی   \n",
       "\n",
       "  ADM1_PCODE  ADM1_REF  ADM1ALT1EN  ADM1ALT2EN  ADM1ALT1FA  ADM1ALT2FA  \\\n",
       "0      IR001       NaN         NaN         NaN         NaN         NaN   \n",
       "1      IR002       NaN         NaN         NaN         NaN         NaN   \n",
       "2      IR003       NaN         NaN         NaN         NaN         NaN   \n",
       "3      IR004       NaN         NaN         NaN         NaN         NaN   \n",
       "4      IR005       NaN         NaN         NaN         NaN         NaN   \n",
       "\n",
       "                      ADM0_EN                ADM0_FA ADM0_PCODE        date  \\\n",
       "0  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "1  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "2  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "3  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "4  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "\n",
       "      validOn  validTo                                           geometry  \n",
       "0  2019-05-14      NaN  POLYGON ((50.49594 36.34221, 50.50150 36.34166...  \n",
       "1  2019-05-14      NaN  POLYGON ((48.03206 39.69253, 48.09512 39.63819...  \n",
       "2  2019-05-14      NaN  MULTIPOLYGON (((51.41462 27.90553, 51.41510 27...  \n",
       "3  2019-05-14      NaN  POLYGON ((49.72980 32.80907, 49.73119 32.80851...  \n",
       "4  2019-05-14      NaN  POLYGON ((47.36634 39.41979, 47.37967 39.40590...  "
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     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "# loading the first five rows of the GeoDataFrame (of the shapefile)\n",
    "\n",
    "iran_provinces.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yuy1Tj3WdQrW"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "    می‌توانیم تأیید کنیم که سیستم مرجع مختصات (CRS) این فایل شکل WGS84 است.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "HpqhptnCdVLo",
    "outputId": "81b83f8b-12e8-4deb-c3eb-ec70ac38c0ea"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Geographic 2D CRS: EPSG:4326>\n",
       "Name: WGS 84\n",
       "Axis Info [ellipsoidal]:\n",
       "- Lat[north]: Geodetic latitude (degree)\n",
       "- Lon[east]: Geodetic longitude (degree)\n",
       "Area of Use:\n",
       "- name: World.\n",
       "- bounds: (-180.0, -90.0, 180.0, 90.0)\n",
       "Datum: World Geodetic System 1984 ensemble\n",
       "- Ellipsoid: WGS 84\n",
       "- Prime Meridian: Greenwich"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iran_provinces.crs # It should output information about the 2-dimensional CRS, WGS84"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xH157aBTBhMf"
   },
   "source": [
    "<h3 dir=\"rtl\">کار با سیستم مرجع مختصات (CRS)</h3>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "بگذارید بگوییم میخواهیم مناطق استان‌های ایران را نقشه‌برداری کنیم، اما فایل شکلی که در حال حاضر داریم سیستم مرجع مختصات (CRS) نادرستی دارد.\n",
    "</div>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "اگر میخواستیم CRS را از WGS84 (پیش فرض) به عنوان مثال به یک <a href=\"https://pro.arcgis.com/en/pro-app/latest/help/mapping/properties/albers.htm\">پروژکشن البرز مساوی</a> - یک پروژکشن مخروطی و مساوی-مساحت که به طور معمول منجر به انحراف شکل‌ها، جهت‌ها، زوایا و فواصل می‌شود - میتوانیم با چند خط کد و داشتن اطلاعاتی در مورد کد EPSG که با پروژکشنی که میخواهید مختصات را روی آن نقشه‌برداری کنید تغییرات لازم را در CRS انجام دهیم.\n",
    "</div>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "<a href=\"https://www.earthdatascience.org/courses/use-data-open-source-python/intro-vector-data-python/spatial-data-vector-shapefiles/epsg-proj4-coordinate-reference-system-formats-python/\">کدهای EPSG</a> اعداد 4-5 رقمی هستند که نمایانگر سیستم‌های مرجع مختصات CRS هستند.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MubboA74fMal"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "در این حالت، کد EPSG که با یک نمایش تساوی منطقه آلبرز مطابقت دارد، <a href=\"https://epsg.io/9822-method\">EPSG:9822</a> است.\n",
    "</div>\n",
    "<br />\n",
    "<div dir=\"rtl\">\n",
    "ما می‌توانیم یک نسخه از داده‌های shapefile خود را بسازیم (که عملکرد خوبی است تا داده‌های خام را تغییر ندهیم) و سپس مختصات را تغییر دهیم.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "V-I8C6Cwfgw7"
   },
   "outputs": [],
   "source": [
    "# Copying our geographic data\n",
    "iran_provinces_copy = iran_provinces.copy()\n",
    "\n",
    "# Mapping our polygons/shape data to a new coordinate system with 'to_crs' \n",
    "iran_provinces_copy = iran_provinces_copy.to_crs(epsg=9822)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kr2W6x3Ef5qd"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "اکنون می‌توانیم نسخه‌ی خود از <span style=\"color: orange\">iran_provinces</span> را بارگیری کنیم که بایستی بر اساس پروژکشن <span style=\"color: orange\">Albers Equal Area</span> تصویربرداری شده باشد و مقایسه کنیم که چگونه هندسه‌های مرزهای استان‌ها تغییر کرده است.\n",
    "</div>"
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       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>ADM1_EN</th>\n",
       "      <th>ADM1_FA</th>\n",
       "      <th>ADM1_PCODE</th>\n",
       "      <th>ADM1_REF</th>\n",
       "      <th>ADM1ALT1EN</th>\n",
       "      <th>ADM1ALT2EN</th>\n",
       "      <th>ADM1ALT1FA</th>\n",
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       "      <th>ADM0_EN</th>\n",
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       "      <td>4.346753</td>\n",
       "      <td>0.523109</td>\n",
       "      <td>Alborz</td>\n",
       "      <td>البرز‎</td>\n",
       "      <td>IR001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((50.49594 36.34221, 50.50150 36.34166...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.218890</td>\n",
       "      <td>1.845273</td>\n",
       "      <td>Ardabil</td>\n",
       "      <td>اردبیل</td>\n",
       "      <td>IR002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((48.03206 39.69253, 48.09512 39.63819...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.019141</td>\n",
       "      <td>2.088545</td>\n",
       "      <td>Bushehr</td>\n",
       "      <td>بوشهر</td>\n",
       "      <td>IR003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MULTIPOLYGON (((51.41462 27.90553, 51.41510 27...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.087819</td>\n",
       "      <td>1.555897</td>\n",
       "      <td>Chaharmahal and Bakhtiari</td>\n",
       "      <td>چهارمحال و بختیاری</td>\n",
       "      <td>IR004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((49.72980 32.80907, 49.73119 32.80851...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14.145806</td>\n",
       "      <td>4.646606</td>\n",
       "      <td>East Azerbaijan</td>\n",
       "      <td>آذربایجان شرقی</td>\n",
       "      <td>IR005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((47.36634 39.41979, 47.37967 39.40590...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Shape_Leng  Shape_Area                    ADM1_EN             ADM1_FA  \\\n",
       "0    4.346753    0.523109                     Alborz              البرز‎   \n",
       "1   10.218890    1.845273                    Ardabil              اردبیل   \n",
       "2   16.019141    2.088545                    Bushehr               بوشهر   \n",
       "3    7.087819    1.555897  Chaharmahal and Bakhtiari  چهارمحال و بختیاری   \n",
       "4   14.145806    4.646606            East Azerbaijan      آذربایجان شرقی   \n",
       "\n",
       "  ADM1_PCODE  ADM1_REF  ADM1ALT1EN  ADM1ALT2EN  ADM1ALT1FA  ADM1ALT2FA  \\\n",
       "0      IR001       NaN         NaN         NaN         NaN         NaN   \n",
       "1      IR002       NaN         NaN         NaN         NaN         NaN   \n",
       "2      IR003       NaN         NaN         NaN         NaN         NaN   \n",
       "3      IR004       NaN         NaN         NaN         NaN         NaN   \n",
       "4      IR005       NaN         NaN         NaN         NaN         NaN   \n",
       "\n",
       "                      ADM0_EN                ADM0_FA ADM0_PCODE        date  \\\n",
       "0  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "1  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "2  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "3  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "4  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "\n",
       "      validOn  validTo                                           geometry  \n",
       "0  2019-05-14      NaN  POLYGON ((50.49594 36.34221, 50.50150 36.34166...  \n",
       "1  2019-05-14      NaN  POLYGON ((48.03206 39.69253, 48.09512 39.63819...  \n",
       "2  2019-05-14      NaN  MULTIPOLYGON (((51.41462 27.90553, 51.41510 27...  \n",
       "3  2019-05-14      NaN  POLYGON ((49.72980 32.80907, 49.73119 32.80851...  \n",
       "4  2019-05-14      NaN  POLYGON ((47.36634 39.41979, 47.37967 39.40590...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iran_provinces.head(5)"
   ]
  },
  {
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   "execution_count": 7,
   "metadata": {
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    },
    "id": "qh0Lk1u3gEdU",
    "outputId": "f2221629-826d-42d3-aeaf-04d4cec5826b"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>ADM1_EN</th>\n",
       "      <th>ADM1_FA</th>\n",
       "      <th>ADM1_PCODE</th>\n",
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       "      <th>0</th>\n",
       "      <td>4.346753</td>\n",
       "      <td>0.523109</td>\n",
       "      <td>Alborz</td>\n",
       "      <td>البرز‎</td>\n",
       "      <td>IR001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((5767361.246 1728858.391, 5767819.528...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.218890</td>\n",
       "      <td>1.845273</td>\n",
       "      <td>Ardabil</td>\n",
       "      <td>اردبیل</td>\n",
       "      <td>IR002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((5389668.272 1936948.187, 5397383.756...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.019141</td>\n",
       "      <td>2.088545</td>\n",
       "      <td>Bushehr</td>\n",
       "      <td>بوشهر</td>\n",
       "      <td>IR003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MULTIPOLYGON (((6346332.190 971070.497, 634637...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.087819</td>\n",
       "      <td>1.555897</td>\n",
       "      <td>Chaharmahal and Bakhtiari</td>\n",
       "      <td>چهارمحال و بختیاری</td>\n",
       "      <td>IR004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((5913566.761 1354981.091, 5913712.011...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14.145806</td>\n",
       "      <td>4.646606</td>\n",
       "      <td>East Azerbaijan</td>\n",
       "      <td>آذربایجان شرقی</td>\n",
       "      <td>IR005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>ایران (جمهوری اسلامی)</td>\n",
       "      <td>IR</td>\n",
       "      <td>2019-04-09</td>\n",
       "      <td>2019-05-14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POLYGON ((5355145.705 1882126.080, 5356908.989...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Shape_Leng  Shape_Area                    ADM1_EN             ADM1_FA  \\\n",
       "0    4.346753    0.523109                     Alborz              البرز‎   \n",
       "1   10.218890    1.845273                    Ardabil              اردبیل   \n",
       "2   16.019141    2.088545                    Bushehr               بوشهر   \n",
       "3    7.087819    1.555897  Chaharmahal and Bakhtiari  چهارمحال و بختیاری   \n",
       "4   14.145806    4.646606            East Azerbaijan      آذربایجان شرقی   \n",
       "\n",
       "  ADM1_PCODE  ADM1_REF  ADM1ALT1EN  ADM1ALT2EN  ADM1ALT1FA  ADM1ALT2FA  \\\n",
       "0      IR001       NaN         NaN         NaN         NaN         NaN   \n",
       "1      IR002       NaN         NaN         NaN         NaN         NaN   \n",
       "2      IR003       NaN         NaN         NaN         NaN         NaN   \n",
       "3      IR004       NaN         NaN         NaN         NaN         NaN   \n",
       "4      IR005       NaN         NaN         NaN         NaN         NaN   \n",
       "\n",
       "                      ADM0_EN                ADM0_FA ADM0_PCODE        date  \\\n",
       "0  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "1  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "2  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "3  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "4  Iran (Islamic Republic of)  ایران (جمهوری اسلامی)         IR  2019-04-09   \n",
       "\n",
       "      validOn  validTo                                           geometry  \n",
       "0  2019-05-14      NaN  POLYGON ((5767361.246 1728858.391, 5767819.528...  \n",
       "1  2019-05-14      NaN  POLYGON ((5389668.272 1936948.187, 5397383.756...  \n",
       "2  2019-05-14      NaN  MULTIPOLYGON (((6346332.190 971070.497, 634637...  \n",
       "3  2019-05-14      NaN  POLYGON ((5913566.761 1354981.091, 5913712.011...  \n",
       "4  2019-05-14      NaN  POLYGON ((5355145.705 1882126.080, 5356908.989...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iran_provinces_copy.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2JYH39V5gO0E"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "همچنین می‌توانیم این دو فایل شکل را نقشه‌برداری کنیم تا ببینیم چگونه تفاوت‌های ظاهری بین آنها وجود دارد. (به خاطر داشته باشید که هنگام استفاده از تابع <span style=\"color: orange\" dir=\"ltr\">`plot()`</span> در geopandas، محور x و y به ترتیب نمایانگر عرض جغرافیایی و طول جغرافیایی هستند.)\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 470
    },
    "id": "E84NmHhWgSEJ",
    "outputId": "beef1e4c-60a9-47e8-c612-fb50c86a7bd0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Iran's provinces: WGS84\")"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mapping the Iranian provinces with the WGS84 projection\n",
    "iran_provinces.plot()\n",
    "\n",
    "# Adding title for WGS84 projection\n",
    "plt.title(\"Iran's provinces: WGS84\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 394
    },
    "id": "LieRT3gZg7i7",
    "outputId": "8ab1dc5b-9779-4052-9cda-38855701520b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mapping the Iranian provinces with the Albers Equal Area projection\n",
    "iran_provinces_copy.plot();\n",
    "\n",
    "# Adding title for Albers Equal Area projection\n",
    "plt.title(\"Iran's provinces: Albers Equal Area\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "21ii2DsMiZzS"
   },
   "source": [
    "<div dir=\"rtl\">\n",
    "نگاه کردن به تصویری که با استفاده از پروژکشن البرز ایزومتریک به وجود آمده است، نشان می‌دهد که این پروژکشن به شدت متفاوت با پروژکشن استاندارد WGS84 است. به طور معمول نقشه‌ی پروژکشن البرز ایزومتریک به دور قطب شمال خمیده می‌شود و سایر قاره‌ها به اطراف آن قرار می‌گیرند. بنابراین، در این تصویر، ایران در واقع به طور معکوس و به شکل 90 درجه در جهت پادساعتگرد چرخیده است.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ez9RmqwCyhNZ"
   },
   "source": [
    "\n",
    "<div dir=\"rtl\">\n",
    "<h3>منابع بیشتر برای بررسی پروژکشن نقشه‌ها</h3>\n",
    "<ul>\n",
    "  <li><a href=\"https://automating-gis-processes.github.io/CSC18/lessons/L2/projections.html\">فصل پروژکشن نقشه‌ها</a> از مجموعه \"Intro to Python GIS\" یک راهنمای جامع‌تر در مورد پروژکشن نقشه‌هاست و این درس به آن استناد دارد.</li>\n",
    "  <li><a href=\"https://www.l3harrisgeospatial.com/Learn/Blogs/Blog-Details/ArtMID/10198/ArticleID/15597/Basics-of-Map-Coordinate-Systems\">مبانی سیستم‌های مختصات نقشه</a> (و توضیحات بیشتر درباره اصطلاحات مورد استفاده برای توصیف سیستم‌های مختلف مختصات مرجع، مانند WGS84)</li>\n",
    "</ul>\n",
    "</div>\n",
    "\n"
   ]
  }
 ],
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