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worldbank · Nov 15, 2024 · 3eac6c2 · 3eac6c2
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diff --git a/docs/_config.yml b/docs/_config.yml
@@ -15,7 +15,7 @@ html:
   extra_navbar: ""
   use_edit_page_button: true
   use_repository_button: true
-  use_issues_button: true
+  use_issues_button: false
   baseurl: https://github.com/worldbank/DECAT_Space2Stats
   extra_footer: |
     <div>
@@ -34,8 +34,8 @@ execute:
 sphinx:
   config:
     html_show_copyright: false
-    html_last_updated_fmt: "%b %d, %Y"
-    apidoc_module_dir: ../space2stats_api/src
+    html_last_updated_fmt: "%Y-%m-%d"
+    apidoc_module_dir: space2stats_api/src
   extra_extensions:
   - 'sphinx.ext.autodoc'
   - sphinx.ext.napoleon

diff --git a/docs/_toc.yml b/docs/_toc.yml
@@ -11,7 +11,7 @@ parts:
     numbered: False
     chapters:
         - file: docs/sub_tasks/admin_bounds.md
-        - file: docs/sub_tasks/sub_national_poverty.md
+        - file: docs/sub_tasks/sub_national_welfare.md
         - file: docs/sub_tasks/geest.md
         - file: docs/sub_tasks/geo_enhancement.md
   - caption: S2S Examples

diff --git a/docs/annexA.md b/docs/annexA.md
@@ -1,31 +1,30 @@
 # Annex A: S2S Datasets
 |Phase|Category|Variable Name|Source|
 |:----|:----|:----|:----|
-|1|Access|Distance to airport  |Global Friction Surface 2019|
-|1|Access|Distance to market  |Global Friction Surface 2019|
-|1|Access|Distance to port  |Global Friction Surface 2019|
-|1|Climate|Precipitation  |TBD (see here)|
-|1|Climate|Temperature  |TBD (see here)|
 |1|Disaster|Flood|Fathom models|
-|1|Disaster|Severe storm|IBTRACS|
-|1|Economics|GDP (gridded)|UNEP and WB|
-|1|Economics|Ag-GDP|IFPRI and WB|
 |1|Economics|Nightlights  |Lights Every Night|
-|1|Environment|Deforestation  |Global forest watch|
-|1|Environment|Estimated biomass|Above ground biomass|
-|1|Environment|Reforestation  |Global forest watch|
-|1|Environment|Vegetation indices  |Sentinel/Landsat|
-|1|Environment|Terrestrial biodiversity indicators|WB|
-|1|Infrastructure|Road density/road length|OpenStreetMap|
-|1|Physical|Elevation|SRTM 30|
-|1|Physical|Slope  |SRTM 30|
-|1|Social|Conflict events|ACLED|
-|1|Social|Population  |GHS-Pop|
+|1|Social|Population  |WorldPop Demographics|
 |1|Social|Urbanization|GHS-SMOD|
-|2|Climate|XCO2 emissions|Dasgupta, S., S. Lall, D. Wheeler. 2021|
-|2|Climate|Methane emissions  |Sentinel 5P|
-|2|Climate|NO2 emissions  |Sentinel 5P|
-|2|Climate|Heat Waves|Benny's Method|
-|2|Infrastructure|Building statistics (orientation, size, alignment)|Digitize Africa/Google Buildings/Microsoft Buildings|
+|2|Access|Distance to airport  |Global Friction Surface 2019|
+|2|Access|Distance to market  |Global Friction Surface 2019|
+|2|Access|Distance to port  |Global Friction Surface 2019|
+|2|Climate|Precipitation  |TBD (see here)|
+|2|Climate|Temperature  |TBD (see here)|
+|2|Disaster|Severe storm|IBTRACS|
+|2|Environment|Deforestation  |Global forest watch|
+|2|Environment|Terrestrial biodiversity indicators|WB|
+|3|Economics|GDP (gridded)|UNEP and WB|
+|3|Economics|Ag-GDP|IFPRI and WB|
+|3|Environment|Estimated biomass|Above ground biomass|
+|3|Environment|Vegetation indices  |Sentinel/Landsat|
+|3|Infrastructure|Road density/road length|OpenStreetMap|
+|3|Physical|Elevation|SRTM 30|
+|3|Physical|Slope  |SRTM 30|
+|3|Social|Conflict events|ACLED|
+|3|Climate|XCO2 emissions|Dasgupta, S., S. Lall, D. Wheeler. 2021|
+|3|Climate|Methane emissions  |Sentinel 5P|
+|3|Climate|NO2 emissions  |Sentinel 5P|
+|3|Climate|Heat Waves|Benny's Method|
+|3|Infrastructure|Building statistics (orientation, size, alignment)|Digitize Africa/Google Buildings/Microsoft Buildings|
 |3|Climate|Climate change predictions  |WB CCKP|
 |3|Economics|Trade volumes (AIS)|AIS|
diff --git a/notebooks/user-docs/space2stats_api_demo.ipynb b/notebooks/user-docs/space2stats_api_demo.ipynb
@@ -150,31 +150,31 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>866a4a017ffffff</td>\n",
-       "      <td>POINT (36.40245 -0.10117)</td>\n",
+       "      <td>POINT (39.24507 3.70114)</td>\n",
        "      <td>676.912804</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>866a4a01fffffff</td>\n",
-       "      <td>POINT (36.29170 -0.39057)</td>\n",
+       "      <td>POINT (39.93747 -3.76871)</td>\n",
        "      <td>347.182722</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>866a4a04fffffff</td>\n",
-       "      <td>POINT (39.40696 -2.61300)</td>\n",
+       "      <td>POINT (33.78711 4.68286)</td>\n",
        "      <td>285.943490</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>866a4a057ffffff</td>\n",
-       "      <td>POINT (35.34318 -1.13463)</td>\n",
+       "      <td>POINT (37.55111 0.93272)</td>\n",
        "      <td>279.463912</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>866a4a05fffffff</td>\n",
-       "      <td>POINT (34.80333 2.72332)</td>\n",
+       "      <td>POINT (36.22409 -0.30845)</td>\n",
        "      <td>235.258474</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -186,31 +186,31 @@
        "    <tr>\n",
        "      <th>25801</th>\n",
        "      <td>86969ed97ffffff</td>\n",
-       "      <td>POINT (35.56103 -0.82817)</td>\n",
+       "      <td>POINT (41.34641 2.65004)</td>\n",
        "      <td>196.448391</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25802</th>\n",
        "      <td>86969ed9fffffff</td>\n",
-       "      <td>POINT (41.42538 3.56386)</td>\n",
+       "      <td>POINT (35.60463 3.91825)</td>\n",
        "      <td>296.740893</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25803</th>\n",
        "      <td>86969eda7ffffff</td>\n",
-       "      <td>POINT (37.98080 -3.00927)</td>\n",
+       "      <td>POINT (35.31237 4.08646)</td>\n",
        "      <td>154.818453</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25804</th>\n",
        "      <td>86969edafffffff</td>\n",
-       "      <td>POINT (39.24303 4.54271)</td>\n",
+       "      <td>POINT (36.64404 4.57332)</td>\n",
        "      <td>157.875350</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25805</th>\n",
        "      <td>86969edb7ffffff</td>\n",
-       "      <td>POINT (40.62723 -1.21057)</td>\n",
+       "      <td>POINT (37.12169 0.66374)</td>\n",
        "      <td>236.127331</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -220,17 +220,17 @@
       ],
       "text/plain": [
        "                hex_id                   geometry  sum_pop_2020\n",
-       "0      866a4a017ffffff  POINT (36.40245 -0.10117)    676.912804\n",
-       "1      866a4a01fffffff  POINT (36.29170 -0.39057)    347.182722\n",
-       "2      866a4a04fffffff  POINT (39.40696 -2.61300)    285.943490\n",
-       "3      866a4a057ffffff  POINT (35.34318 -1.13463)    279.463912\n",
-       "4      866a4a05fffffff   POINT (34.80333 2.72332)    235.258474\n",
+       "0      866a4a017ffffff   POINT (39.24507 3.70114)    676.912804\n",
+       "1      866a4a01fffffff  POINT (39.93747 -3.76871)    347.182722\n",
+       "2      866a4a04fffffff   POINT (33.78711 4.68286)    285.943490\n",
+       "3      866a4a057ffffff   POINT (37.55111 0.93272)    279.463912\n",
+       "4      866a4a05fffffff  POINT (36.22409 -0.30845)    235.258474\n",
        "...                ...                        ...           ...\n",
-       "25801  86969ed97ffffff  POINT (35.56103 -0.82817)    196.448391\n",
-       "25802  86969ed9fffffff   POINT (41.42538 3.56386)    296.740893\n",
-       "25803  86969eda7ffffff  POINT (37.98080 -3.00927)    154.818453\n",
-       "25804  86969edafffffff   POINT (39.24303 4.54271)    157.875350\n",
-       "25805  86969edb7ffffff  POINT (40.62723 -1.21057)    236.127331\n",
+       "25801  86969ed97ffffff   POINT (41.34641 2.65004)    196.448391\n",
+       "25802  86969ed9fffffff   POINT (35.60463 3.91825)    296.740893\n",
+       "25803  86969eda7ffffff   POINT (35.31237 4.08646)    154.818453\n",
+       "25804  86969edafffffff   POINT (36.64404 4.57332)    157.875350\n",
+       "25805  86969edb7ffffff   POINT (37.12169 0.66374)    236.127331\n",
        "\n",
        "[25806 rows x 3 columns]"
       ]
@@ -248,39 +248,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fc98ebd574fd4a989e4040baf6218300",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Map(layers=[ScatterplotLayer(get_fill_color=<pyarrow.lib.FixedSizeListArray object at 0x1681dd180>\n",
-       "[\n",
-       "  [\n",
-       "    2…"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Define custom breaks and corresponding RGBA colors\n",
-    "breaks = [0, 1, 1000, 10000, 50000, 100000, 200000, gdf[\"sum_pop_2020\"].max()]\n",
+    "breaks = [0, 1, 10, 100, 500, 1000, 5000, gdf[\"sum_pop_2020\"].max()]\n",
     "colors = np.array([\n",
-    "    [211, 211, 211, 255],  # Light gray for 0\n",
-    "    [255, 255, 0, 255],    # Yellow for 1-1000\n",
-    "    [255, 165, 0, 255],    # Orange for 1000-10000\n",
-    "    [255, 0, 0, 255],      # Red for 10000-50000\n",
-    "    [128, 0, 128, 255],    # Purple for 50000-100000\n",
-    "    [0, 0, 255, 255],      # Blue for 100000-200000\n",
-    "    [0, 0, 139, 255],      # Dark blue for 200000+\n",
+    "    [211, 211, 211, 255],  # Light gray \n",
+    "    [255, 255, 0, 255],    # Yellow  \n",
+    "    [255, 165, 0, 255],    # Orange  \n",
+    "    [255, 0, 0, 255],      # Red  \n",
+    "    [128, 0, 128, 255],    # Purple  \n",
+    "    [0, 0, 255, 255],      # Blue \n",
+    "    [0, 0, 139, 255],      # Dark blue \n",
     "])\n",
     "\n",
     "# Function to assign colors based on custom bins\n",
@@ -300,13 +281,29 @@
     "m = Map(layer)\n",
     "m"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "gn",
    "language": "python",
-   "name": "python3"
+   "name": "gn"
   },
   "language_info": {
    "codemirror_mode": {
@@ -318,7 +315,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,