{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "_cell_guid": "198f0235-36d7-b838-e7dc-b16d6ef5d115"
      },
      "source": [
        "# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages\n",
        "# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats\n",
        "# For example, here's several helpful packages to load in \n",
        "\n",
        "library(ggplot2) # Data visualization\n",
        "library(readr) # CSV file I/O, e.g. the read_csv function\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
        "\n",
        "system(\"ls ../input\")\n",
        "\n",
        "# Any results you write to the current directory are saved as output."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_cell_guid": "2efd646f-2a8f-6e15-1fe9-e6f2110b4871"
      },
      "outputs": [],
      "source": [
        "library(raster)      # to read in from .tiff\n",
        "library(rgdal)       # to read in from wkt\n",
        "library(geojsonio)   # to read in from geojson\n",
        "\n",
        "library(data.table)  # fast csv read\n",
        "library(vec2dtransf)"
      ]
    }
  ],
  "metadata": {
    "_change_revision": 0,
    "_is_fork": false,
    "kernelspec": {
      "display_name": "R",
      "language": "R",
      "name": "ir"
    },
    "language_info": {
      "codemirror_mode": "r",
      "file_extension": ".r",
      "mimetype": "text/x-r-source",
      "name": "R",
      "pygments_lexer": "r",
      "version": "3.3.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}