replacement_barcharts.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m\u001b[1m  Activating\u001b[22m\u001b[39m project at `~/workspace/uni/spatial_temporal_data/spatio_temporal_data-rainforest_development`\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: replacing module Rainforestlib.\n"
     ]
    }
   ],
   "source": [
    "using Pkg\n",
    "Pkg.activate(\".\")\n",
    "\n",
    "include(\"src/rainforest_lib.jl\")\n",
    "using .Rainforestlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "YAXArray with the following dimensions\n",
       "lon                 Axis with 135 Elements from -56.998611111111096 to -54.02083333333332\n",
       "lat                 Axis with 180 Elements from -6.020833333333328 to -9.998611111111106\n",
       "time                Axis with 11 Elements from 2010-01-01T00:00:00 to 2020-01-01T00:00:00\n",
       "name: lccs_class\n",
       "Total size: 261.04 KB\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "using Zarr\n",
    "using YAXArrays\n",
    "\n",
    "lc = Rainforestlib.get_lcc_datacube()\n",
    "\n",
    "filtered_dc = Rainforestlib.rough_spatial_filter(lc; time_bounds = (Date(2010), Date(2021)))\n",
    "\n",
    "small_soy_region_dc = Rainforestlib.rough_spatial_filter(\n",
    "    lc;\n",
    "    lon_bounds = (-57, -54),\n",
    "    lat_bounds = (-10, -6), \n",
    "    time_bounds = (Date(2010), Date(2021))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Main.Rainforestlib.LCCSClasses.Category(\"all_forest\", Set([\"tree_needleleaved_evergreen_open\", \"tree_needleleaved_deciduous_closed\", \"tree_needleleaved_deciduous_open\", \"tree_needleleaved_deciduous_closed_to_open\", \"tree_broadleaved_deciduous_open\", \"tree_broadleaved_deciduous_closed\", \"tree_broadleaved_evergreen_closed_to_open\", \"tree_cover_flooded_saline_water\", \"tree_needleleaved_evergreen_closed\", \"tree_mixed\", \"tree_broadleaved_deciduous_closed_to_open\", \"tree_cover_flooded_fresh_or_brakish_water\", \"tree_needleleaved_evergreen_closed_to_open\"]), 0.15, Set(UInt8[0x3d, 0x51, 0x48, 0x47, 0x5a, 0x3c, 0xa0, 0x46, 0x32, 0xaa, 0x52, 0x3e, 0x50]))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set a set of accepted values\n",
    "rainforest_values = Set(Rainforestlib.LCCSClasses.categories[\"rainforest\"].lccs_classes)\n",
    "\n",
    "forest_values = Set(Rainforestlib.LCCSClasses.categories[\"forest\"].lccs_classes)\n",
    "\n",
    "all_forest_values = union(forest_values, rainforest_values)\n",
    "\n",
    "all_forest_category = Rainforestlib.LCCSClasses.merge_categories(\n",
    "    \"all_forest\",\n",
    "    0.15,\n",
    "    Set([Rainforestlib.LCCSClasses.categories[\"forest\"], Rainforestlib.LCCSClasses.categories[\"rainforest\"]])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Rainforestlib.build_replacement_figure(filtered_dc, Rainforestlib.LCCSClasses.categories[\"rainforest\"]; resolution = (3000, 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# now here with all forest values\n",
    "\n",
    "Rainforestlib.build_replacement_figure(filtered_dc, all_forest_category; resolution = (3000, 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this is the reverse, so it shows was there BEFORE it was turned into rainforest\n",
    "\n",
    "Rainforestlib.build_replacement_figure(filtered_dc, Rainforestlib.LCCSClasses.categories[\"rainforest\"]; resolution = (3000, 1000), reverse = true)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 1.9.1",
   "language": "julia",
   "name": "julia-1.9"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.9.1"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}