mics updates

Notebooks/Implementations/JUP_SURGP_GLO_B_D__LEI_Evaluation.ipynb

@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -45,22 +46,6 @@
     "from src.LEI import *\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "calculate_LEI?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -84,6 +69,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -131,6 +117,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -205,6 +192,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -252,6 +240,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -315,6 +304,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -400,49 +390,6 @@
    "source": [
     "summarize_LEI(in_file)"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# DEBUGGING"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "bad_files = []\n",
-    "\n",
-    "for root, dirs, files in os.walk('/home/wb411133/data/Projects/LEI/'):\n",
-    "    for f in files:\n",
-    "        if \"90_00.csv\" in f:\n",
-    "            bad_files.append(os.path.join(root, f))\n",
-    "            \n",
-    "bad_files"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import shutil\n",
-    "\n",
-    "for b in bad_files:\n",
-    "    new_file = b.replace(\"_90_00\", \"_90_0014\")\n",
-    "    shutil.move(b, new_file)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

Notebooks/Implementations/README.md

@@ -0,0 +1,2 @@
+# Implementations
+The primary role of the GOST team in the World Bank Group is to support operational teams in their exploitation of geospatial data. This happens in many different ways, and the notebooks herein present examples of the specific support the team has provided to various investigations of urbanization.

Notebooks/Implementations/URB_DECAT_B_ExploringGHSSMODcode.ipynb

@@ -1,14 +1,33 @@
 {
  "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Exploring DEGURBA\n",
+    "The Degree of Urbanization methodology developed by the European Commission provides a consistent definition of urban through application of population density and total population theresholds to gridded population data."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with 'geog' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: 'conda install -n geog ipykernel --update-deps --force-reinstall'"
+     ]
+    }
+   ],
    "source": [
-    "import sys, os, importlib, shutil\n",
-    "import requests\n",
-    "import rasterio, elevation, richdem\n",
+    "import sys, os, importlib\n",
+    "import rasterio\n",
     "import rasterio.warp\n",
     "\n",
     "import pandas as pd\n",
@@ -20,7 +39,7 @@
     "from shapely.geometry import MultiPolygon, Polygon\n",
     "\n",
     "#Import GOST urban functions\n",
-    "sys.path.append(\"../\")\n",
+    "sys.path.append(\"../GOST_Urban\")\n",
     "import src.UrbanRaster as urban\n",
     "import src.urban_helper as helper\n",
     "\n",
@@ -192,6 +211,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -211,15 +231,6 @@
     "import matplotlib.colors as colors"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ax.imshow?"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -254,6 +265,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -402,9 +414,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (geog)",
+   "display_name": "geog",
    "language": "python",
-   "name": "geog"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -416,7 +428,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,