Fixes and cleaning

Author: matamadio

docs/_toc.yml

@@ -30,6 +30,8 @@ parts:
           - file: docs/run_ci
       - file: docs/validation
       - file: docs/risk-poverty
+        sections:
+        - file: tools/code/merge_tiles/GUI_bivariate-maps.ipynb      
       - file: docs/presentation
       - file: docs/utility
         sections:

docs/risk-poverty.md

@@ -74,14 +74,11 @@ Poverty maps are combined with EAE/EAI maps to generate bi-variate maps. These m
 
 Classification of total exposure on an administrative unit is done both on the basis of absolute numbers or ratios. For instance, as severe fluvial flooding and landslides represent very localized threats, the classification is based on total counts. In comparison, heat waves, droughts and air pollution are more widespread across geographic units and therefore classified into groups based on proportions. 
 
-```{seealso}
 We offer a python GUI to create bi-variate maps starting from risk and poverty data.
-[**Bivariate Maps Script**](https://github.com/GFDRR/CCDR-tools/blob/main/tools/code/GUI_bivariate-maps.ipynb)
+Download the [**Bivariate Maps Script**](https://github.com/GFDRR/CCDR-tools/blob/main/tools/code/GUI_bivariate-maps.ipynb) or preview it on the next page.
 
     ```{figure} images/bivariate_GUI.png
     ---
     align: center
     ---
-    ```
-
-```
+    ```

home.md

@@ -5,7 +5,6 @@
         <span class="news-item"><strong>UPDATE:</strong> Climate Indices Tool released for CMIP6 indicators! </span>
         <span class="news-item"><strong>UPDATE:</strong> STORM v4 tropical cyclone global model analysis notebook</span>
         <span class="news-item"><strong>ANNOUNCEMENT:</strong> New CCDR dashboard released for interactive exploration of risk </span>
-        <span class="news-item"><strong>WEBINAR:</strong> Join our upcoming training session on disaster risk screening tools - April 30, 2025 </span>
     </div>
 </div>
 
@@ -43,7 +42,7 @@
     }
 </style>
 
-This documentation offers guidance on risk screening and provides pythons tools to quickly produce natual hazards' risk screening at the national or sub-national level. The tools have originally being created for the World Bank's [**Country Climate and Development Report**](https://www.worldbank.org/en/publication/country-climate-development-reports) risk screening activities (2022/2024) and then furtherly developed within the [**Risk Data Library project**](docs/rdl.md).
+This documentation offers guidance on risk screening and provides pythons tools to quickly produce natual hazards' risk screening at the national or sub-national level. The tools have originally being created for the World Bank's [**Country Climate and Development Report**](https://www.worldbank.org/en/publication/country-climate-development-reports) risk screening activities (2022/2025) and then furtherly developed within the [**Risk Data Library project**](docs/rdl.md).
 
 The CCDR toolkit allow to perform spatial analytics of disaster risk based on global datasets.
 Additionally, it offers open-source approaches and methods to: