assemble_ldf.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "import swisslandstats as sls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   "outputs": [],
   "source": [
    "vaud_ldf = sls.read_csv('data/vaud_lulc.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "autoscroll": false,
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    "ein.hycell": false,
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   },
   "outputs": [],
   "source": [
    "elevation_ser = pd.read_csv('data/vaud_elevation.csv', index_col=0, squeeze=True)\n",
    "prodreg_ser = pd.read_csv('data/vaud_prodreg.csv', index_col=0, squeeze=True)\n",
    "orgsoil_ser = pd.read_csv('data/vaud_orgsoil.csv', index_col=0, squeeze=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
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     "slide_type": "-"
    }
   },
   "source": [
    "## Reclassify (discretize) elevation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "autoscroll": false,
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   },
   "outputs": [],
   "source": [
    "def discretize_elevation(value):\n",
    "    if value < 601:\n",
    "        return 1 # '< 601'\n",
    "    elif value < 1201:\n",
    "        return 2 # '< 1201'\n",
    "    else:\n",
    "        return 3 # '>= 1201'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
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   },
   "outputs": [],
   "source": [
    "elevation_ser = elevation_ser.apply(discretize_elevation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "## Reclassify the prodreg regions into numeric codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
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   },
   "outputs": [],
   "source": [
    "prodreg_code_map = {'Jura': 1, 'Central Plateau': 2, 'Pre Alps': 3, 'Alps': 4, 'Southern Alps': 5}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
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    "ein.tags": "worksheet-0",
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   },
   "outputs": [],
   "source": [
    "prodreg_ser = prodreg_ser.map(prodreg_code_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "## Add columns to the ldf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
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    }
   },
   "outputs": [],
   "source": [
    "vaud_ldf['elevation'] = elevation_ser\n",
    "vaud_ldf['prodreg'] = prodreg_ser\n",
    "vaud_ldf['orgsoil'] = orgsoil_ser"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "## export ldf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "autoscroll": false,
    "collapsed": false,
    "ein.hycell": false,
    "ein.tags": "worksheet-0",
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "vaud_ldf.to_csv('data/vaud_ldf.csv')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (carbonseq_vaud)",
   "name": "carbonseq_vaud"
  },
  "name": "assemble_ldf.ipynb"
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}