Update documentation links

thinkhazard/templates/about_body.jinja2

@@ -9,7 +9,7 @@
 {{gettext('*ThinkHazard!* also provides recommendations and guidance on how to reduce the risk from each hazard within the project area, and provides links to additional resources such as country risk assessments, best practice guidance, additional websites. *ThinkHazard!* also highlights how each hazard may change in the future as a result of climate change.') | markdown}}
 </p>
 <p>
-{{gettext('The ThinkHazard! methodology is documented [here](%(link)s).', link='https://gfdrr.github.io/thinkhazardmethods') | markdown}}
+{{gettext('The ThinkHazard! methodology is documented [here](%(link)s).', link='https://gfdrr.github.io/thinkhazard') | markdown}}
 </p>
 
 <hr>

thinkhazard/templates/common.jinja2

@@ -33,7 +33,7 @@
             <a href="{{'data_map'|route_url}}?lang={{request.matchdict.get('lang')}}" class="modal-remote">{{gettext('Data Map')}}</a>
           </li> #}
           <li>
-            <a href="https://gfdrr.github.io/thinkhazardmethods" target="_blank">{{gettext('Documentation')}}</a>
+            <a href="https://gfdrr.github.io/thinkhazard" target="_blank">{{gettext('Documentation')}}</a>
           </li>
           <li>
             <a href="{{'about'|route_url}}" class="modal-remote">{{gettext('About')}}</a>

thinkhazard/templates/faq.jinja2

@@ -114,11 +114,11 @@ An equivalent way of expressing return period is as the chance of occurring each
 
 In some cases, we set a higher threshold for ‘High’ hazard level, than for lower levels, to differentiate the level of damage. We then consider whether the threshold is exceeded at three return periods, which differs for each hazard, reflecting the different frequency of events. If the intensity threshold is exceeded at the most frequent return period, the hazard is determined to be ‘High’. If the threshold is exceeded at the intermediate return period but not the most frequent, it is determined to be ‘Medium’. If the threshold is exceeded at the least frequent return period only, the hazard is determined to be ‘Low’. If there is hazard data present but the threshold is not exceeded at any return period, hazard is determined to be ‘Very Low’.
 
-For non-probabilistic data, such as landslide susceptibility index, we categorize the index into hazard levels using the original data values. The maximum hazard level in each administrative unit 2 (based on the FAO Global Administrative Unit Layers dataset) is deemed to be the hazard level of that unit. The hazard level of a state or province boundary is the maximum hazard level of all districts that it contains. For a full explanation of the methodology, please see the [documentation](%(link)s).', link='https://gfdrr.github.io/thinkhazardmethods')
+For non-probabilistic data, such as landslide susceptibility index, we categorize the index into hazard levels using the original data values. The maximum hazard level in each administrative unit 2 (based on the FAO Global Administrative Unit Layers dataset) is deemed to be the hazard level of that unit. The hazard level of a state or province boundary is the maximum hazard level of all districts that it contains. For a full explanation of the methodology, please see the [documentation](%(link)s).', link='https://gfdrr.github.io/thinkhazard')
         ),
         (
           gettext('Where can I find more information about the methods used in *ThinkHazard!*?'),
-          gettext('Please see the [documentation](%(link)s).', link='https://gfdrr.github.io/thinkhazardmethods')
+          gettext('Please see the [documentation](%(link)s).', link='https://gfdrr.github.io/thinkhazard')
         ),
         (
           gettext('What hazard data are used in *ThinkHazard!*, and can I download the data for use elsewhere?'),