update notebooks

GIScience · May 19, 2023 · c43c9cc · c43c9cc
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Showing 8 changed files with 52 additions and 51 deletions.
diff --git a/figures/comparison_osm_microsoft_map_with_diagrams_and_points.png b/figures/comparison_osm_microsoft_map_with_diagrams_and_points.png
diff --git a/figures/completeness_per_month_by_region_rf_adjusted_with_ci.png b/figures/completeness_per_month_by_region_rf_adjusted_with_ci.png
diff --git a/figures/local_morans_europe_and_africa.png b/figures/local_morans_europe_and_africa.png
diff --git a/notebooks/Figure 1 - temporal evolution of urban building completeness.ipynb b/notebooks/Figure 1 - temporal evolution of urban building completeness.ipynb
diff --git a/notebooks/Figure 3,4 - inequality measures of completeness.ipynb b/notebooks/Figure 3,4 - inequality measures of completeness.ipynb
@@ -12,7 +12,7 @@
      "text": [
       "/home/h9b/GIT_REPOS/global-urban-building-completeness-analysis/venv/lib/python3.10/site-packages/geopandas/_compat.py:123: UserWarning: The Shapely GEOS version (3.11.1-CAPI-1.17.1) is incompatible with the GEOS version PyGEOS was compiled with (3.10.4-CAPI-1.16.2). Conversions between both will be slow.\n",
       "  warnings.warn(\n",
-      "/tmp/ipykernel_43963/2472761831.py:5: UserWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas will still use PyGEOS by default for now. To force to use and test Shapely 2.0, you have to set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
+      "/tmp/ipykernel_26499/2472761831.py:5: UserWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas will still use PyGEOS by default for now. To force to use and test Shapely 2.0, you have to set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
       "\n",
       "import os\n",
       "os.environ['USE_PYGEOS'] = '0'\n",
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "3dc97cb0",
    "metadata": {},
    "outputs": [],
@@ -1531,7 +1531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "id": "9d2fd5a0",
    "metadata": {},
    "outputs": [
@@ -1763,7 +1763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "id": "ee735884",
    "metadata": {},
    "outputs": [
@@ -1910,7 +1910,7 @@
     "\n",
     "\n",
     "plt.savefig(\n",
-    "    f\"../figures/completeness_inequality_per_month_by_region_{model_name}.png\",\n",
+    "    f\"../figures/completeness_inequality_per_month_by_region_{model_name}.pdf\",\n",
     "    dpi=300,\n",
     "    bbox_inches = 'tight',\n",
     "    pad_inches = 0.25\n",

diff --git a/notebooks/Figure 5,6 and Table 10 - agglomerative clustering.ipynb b/notebooks/Figure 5,6 and Table 10 - agglomerative clustering.ipynb
diff --git a/notebooks/Figure 7 - temporal evolution per urban center.ipynb b/notebooks/Figure 7 - temporal evolution per urban center.ipynb
@@ -556,7 +556,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "cf8393b5",
    "metadata": {
     "scrolled": false
@@ -566,7 +566,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_48495/2895984109.py:52: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
+      "/tmp/ipykernel_26727/127198776.py:52: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
       "  ax = plt.subplot(gs1[i])\n"
      ]
     },
@@ -696,7 +696,7 @@
     "    ax.grid()\n",
     "\n",
     "plt.savefig(\n",
-    "    \"../figures/temporal_evolution_urban_completeness_clustering_plot.png\",\n",
+    "    \"../figures/temporal_evolution_urban_completeness_clustering_plot.pdf\",\n",
     "    dpi=300,\n",
     "    bbox_inches = 'tight',\n",
     "    pad_inches = 0.75\n",

diff --git a/notebooks/Figure 8 Table 4 - scatterplot of residuals.ipynb b/notebooks/Figure 8 Table 4 - scatterplot of residuals.ipynb