{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Erosion: Here Today, Gone Tomorrow\n",
    "\n",
    "This Juptyer Notebooks will allow for the graphing of erosion data. We will use the [Discovery Science - Erosion: Here Today, gone Tomorrow Module](http://gtm-media.discoveryeducation.com/videos/DSC/externalApplications/accessible/virtual_labs-es/Erosion/index.html) to test soil erosion (Flash Player must be Enabled on the computer to run the Module). \n",
    "\n",
    "![](http://interactivesites.weebly.com/uploads/9/5/0/5/9505777/discovery.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-Lab Questions\n",
    "\n",
    "    1. What is erosion?  How is it different from weathering?\n",
    "    2. How does deposition relate to erosion and weathering?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using the Erosion Module\n",
    "\n",
    "The erosion module allows you to adjust and see how different variables impact soil erosion.  Variables you can adjust include <u>soil treatment</u>, <u>amount of water</u>, and <u>incline</u>. To start testing, make sure that you click on <b>Investigate</b>, type in your name, and select <b>Level 1</b>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1: Determining the Effect of Plants\n",
    "## Making a Bar Graph of the Data for Soil Erosion with No Treatment and Low Incline\n",
    "\n",
    "This graph will display the results for soil erosion with no soil treatment and low incline, testing the effects of 'low', 'medium' and 'high' water. To run the block of code and all of the code blocks below, you will hit Shift + Enter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#importing what we'll need to use our data.\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt; plt.rcdefaults()\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8/NSwYUMdPnw4k6oFAACeLlODzbVr1xQREaGPP/44xfnjx4/XpEmTNHXqVG3c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\nEELEDZnYCCGEECJu/AKqYO1YciDPgAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x154bc0b8128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects1 = ('Low Water', 'Medium Water', 'High Water')\n",
    "y_pos = np.arange(len(objects1))\n",
    "notreatment1 = [4,6,7]\n",
    " \n",
    "plt.bar(y_pos, notreatment1, align='center', alpha=0.5, color =\"b\")\n",
    "plt.xticks(y_pos, objects1)\n",
    "plt.ylim(0,11)\n",
    "plt.ylabel('Soil Runoff in Litres')\n",
    "plt.title('Soil Erosion with No Soil Treatment and Low Incline')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 1 Questions - Low Incline with No Treatment\n",
    "\n",
    "    3. What impact did increasing the water have on the soil erosion?\n",
    "    4. What was the erosion difference between the low water and high water?\n",
    "    5. How do you think adding plants will impact the amount of soil erosion?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making a Bar Graph of the Data for Soil Erosion with Plants and Low Incline\n",
    "\n",
    "Using the \"Eroison: Here Today, Gone Tomorrow\" Module run tests for soil erosion for the <b>PLANTS</b> soil treatment with <b>LOW INCLINE</b> for 'low', 'medium' and 'high' water.  Write down your results in a data table, then enter them in the code below where it says planterosion = [1,1,1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VUMHBwTpw4IBLiwMAAHCG08Hm9OnTqlSpUrr21NRU3bx50yVFAQAA5ITTwaZG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\nLGmfLlSokOrUqZPDdw0+Pj5q166dIiM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      "text/plain": [
       "<matplotlib.figure.Figure at 0x154bb68c630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects2 = ('Low Water', 'Medium Water', 'High Water')\n",
    "y_pos = np.arange(len(objects2))\n",
    "\n",
    "#Insert your data below.  Make sure that the data is entered in the correct order. \n",
    "#All the data is preset to 1 Litre. Order:\n",
    "# Low Water\n",
    "# Medium Water\n",
    "# High Water \n",
    "\n",
    "planterosion = [1,1,1]\n",
    " \n",
    "plt.bar(y_pos, planterosion, align='center', alpha=0.5, color =\"g\")\n",
    "plt.xticks(y_pos, objects2)\n",
    "plt.ylim(0,11)\n",
    "plt.ylabel('Soil Runoff in Litres')\n",
    "plt.title('Soil Erosion with Plants and Low Incline')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 1 Questions (cont) - Low Incline Erosion with Plants\n",
    "    6. Comparing this graph to the first one, what impact did the plants have on erosion? Can you quantify this impact?\n",
    "    7. What effect do plants have on the amount of erosion? What application might this serve in the real-world? "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2: Comparing Two Variables\n",
    "## Making a Bar Graph of the Data for Soil Erosion with No Treatment (Changing Water and Incline)\n",
    "\n",
    "This graph will display all results for soil erosion with no soil treatment including 'low', 'medium' and 'high' water and 'low', 'medium', and 'steep' incline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jqIeYmBjZ7XYdOHDA6XwdJ0+eVGpqaq5Hq5ghe5LpuXPnnLba/Pzzz47bs/n5+enuu+/W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uGGl1Olp6drZ2eHjo1h6NgAsLXfDXS+ZeJQpxNueDmZE7qePw2FDQBbezvQeXJyosHBQbW0tKis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\nGwAA4Bj/AKYksBZXUPQFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x154b8d60358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects3 = ('Low Water - Low Incline', 'Low Water - Medium Incline', 'Low Water - Steep Incline', 'Medium Water - Low Incline', 'Medium Water - Medium Incline','Medium Water - Steep Incline','High Water - Low Incline', 'High Water - Medium Incline','High Water - Steep Incline')\n",
    "y_pos = np.arange(len(objects3))\n",
    "notreatment2 = [4,5,6,6,7,8,7,8,10]\n",
    "\n",
    "plt.bar(y_pos, notreatment2, align='center', alpha=0.5, color =\"cry\")\n",
    "\n",
    "plt.xticks(y_pos, objects3, rotation=90)\n",
    "plt.ylim(0,11)\n",
    "plt.ylabel('Soil Runoff in Litres')\n",
    "plt.title('Soil Erosion with No Soil Treatment')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 2 Questions - Comparing Two Variables (Water and Incline) with No Soil Treatment\n",
    "    8. What impact do you think changing the incline will have on the amount of soil erosion?  How might this change how landscapers and architects build on a slope?\n",
    "    9. What variable do you think has the biggest impact, water or incline? Explain.\n",
    "    10. Why did we change only one variable for each test run?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making a Bar Graph of the Data for Soil Erosion with Plants (Changing Water and Incline)\n",
    "\n",
    "Using the \"Eroison: Here Today, Gone Tomorrow\" Module run tests for soil erosion for the <b>PLANTS</b> soil treatment with for 'low', 'medium' and 'high' water and 'low', 'medium', and 'steep' incline.  Write down your results in a data table, then enter them in the code below where it says planterosion2 = [1,1,1,1,1,1,1,1,1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GxQYAAFgGxQYAAFgGxQYAAFgGxQYAAFgGxQYAAFiG5c9jk52drSNHjqhYsWJeeVp0AACQ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\nLfH6olYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x154bbf82400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects4 = ('Low Water - Low Incline', 'Low Water - Medium Incline', 'Low Water - Steep Incline', 'Medium Water - Low Incline', 'Medium Water - Medium Incline','Medium Water - Steep Incline','High Water - Low Incline', 'High Water - Medium Incline','High Water - Steep Incline')\n",
    "y_pos = np.arange(len(objects4))\n",
    "\n",
    "#Insert your data below in the [ ].  Make sure that the data is entered in the correct order. \n",
    "#All the data is preset to 1 Litre. Order:\n",
    "# Low Water - Low Incline\n",
    "# Low Water - Medium Incline\n",
    "# Low Water - Steep Incline\n",
    "# Medium Water - Low Incline\n",
    "# Medium Water - Medium Incline\n",
    "# Medium Water - Steep Incline \n",
    "# High Water - Low Incline\n",
    "# High Water - Medium Incline\n",
    "# High Water - Steep Incline\n",
    "\n",
    "planterosion2 = [1,1,1,1,1,1,1,1,1]\n",
    "\n",
    "\n",
    "plt.bar(y_pos, planterosion2, align='center', alpha=0.5, color =\"gmk\")\n",
    "plt.xticks(y_pos, objects4, rotation=90)\n",
    "plt.ylim(0,11)\n",
    "plt.ylabel('Soil Runoff in Litres')\n",
    "plt.title('Soil Erosion with Plants')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Part 2 Questions (cont) -  Comparing Two Variables with Plants\n",
    "    11. Which 3 test runs have the same amount of runoff?\n",
    "    12. Why do you believe that the amount of runoff is the same for those 3 test runs?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Erosion Bonus Section - Changing the Type of Soil\n",
    "\n",
    "Open up [Eroison: Here Today, Gone Tomorrow](http://gtm-media.discoveryeducation.com/videos/DSC/externalApplications/accessible/virtual_labs-es/Erosion/index.html) again in a new tab. This time click on <b>Level 2</b>, which now allows you to also adjust the type of soil. Run run tests for soil erosion for the <u>PLANTS</u> soil treatment with <u>medium incline</u> for 'low', 'medium' and 'high' water and 'sand', 'silt', and 'Sand/Soil Mixture' Soil Types.  Write down your results in a data table, then enter them in the code below where it says level2 = [1,1,1,1,1,1,1,1,1]. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FHa2IPjYAAMsbMmSITp486bUr+xZE77zzjooWLZrlrR+shCM2AADAMjhiAwAA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\n3Fkt2AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x154bc47a860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objectsb = ('Medium Water - Low Incline - Sand', 'Medium Water - Low Incline - Silt', 'Medium Water - Low Incline - Sand/Silt Mix','Medium Water - Medium Incline - Sand', 'Medium Water - Medium Incline - Silt', 'Medium Water - Medium Incline - Sand/Silt Mix', 'Medium Water - Steep Incline - Sand', 'Medium Water - Steep Incline - Silt', 'Medium Water - Steep Incline - Sand/Silt Mix')\n",
    "y_pos = np.arange(len(objectsb))\n",
    "\n",
    "#Insert your data below in the [ ].  Make sure that the data is entered in the correct order. \n",
    "#All the data is preset to 1 Litre. Order:\n",
    "# Medium Water - Low Incline - Sand\n",
    "# Medium Water - Low Incline - Silt\n",
    "# Medium Water - Low Incline - Sand/Silt Mix\n",
    "# Medium Water - Medium Incline - Sand\n",
    "# Medium Water - Medium Incline - Silt\n",
    "# Medium Water - Medium Incline - Sand/Silt Mix\n",
    "# Medium Water - Steep Incline - Sand\n",
    "# Medium Water - Steep Incline - Silt\n",
    "# Medium Water - Steep Incline - Sand/Silt Mix\n",
    "\n",
    "level2 = [1,1,1,1,1,1,1,1,1]\n",
    "\n",
    "\n",
    "plt.bar(y_pos, level2, align='center', alpha=0.5, color =[\"#C5B358\", \"#782F40\", \"k\"])\n",
    "plt.xticks(y_pos, objectsb, rotation=90)\n",
    "plt.ylim(0,11)\n",
    "plt.ylabel('Soil Runoff in Litres')\n",
    "plt.title('Soil Erosion with Plants & Medium Water (Level 2)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Bonus Questions\n",
    "    13.\tWhat do you think would happen if we could also adjust the soil type to sand or silt?  Which soil type more accurately matches most of Florida’s?\n",
    "\n",
    "    14.\tWhat was the dependent variable in all of the scenarios?  How do you know?  What were the two independent variables that were tested in this activity?\n",
    "\n",
    "    15.\tWhat are some of the benefits of modeling erosion in the simulation and analyzing it with coding?  What were some of the limitations?   "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}