updates

_includes/sidebar.html

@@ -13,7 +13,6 @@ <h1>
     <nav class="sidebar-nav">
 
       <a class="sidebar-nav-item{% if page.url == site.baseurl %} active{% endif %}" href="{{ site.baseurl }}">Home</a>
-        <a class="sidebar-nav-item {% if page.url == node.url %} active{% endif %}" href="{{ '/Introduction' | prepend: site.baseurl }}">Introduction</a>
       <a class="sidebar-nav-item {% if page.url == node.url %} active{% endif %}" href="{{ '/motivation' | prepend: site.baseurl }}">Motivation</a>
 
 

data_processing.md

@@ -23,9 +23,7 @@ Additional resources and tips for GIS processing have been compiled here.
 [Notes and examples](): For the Provisional Water Reuse Index, we imputed null values to 0. We converted all values to percentiles prior to performing a Principal Component Analysis. We dropped any water service areas with no associated geometry that could be mapped. 
 
 ## Assign Variables ("indicators") to Categories ("drivers")
-We knew that it was important to maintain the conceptual indicator/driver structure shown on the [Motivation](https://uwescience.github.io/WaterReuseDSSG2024/motivation/) within our final dataframe. We did this by creating a list mapping the drivers to the indicator values (columns) they are measured by. This impacts both how the index is calculated and the menu options that appear on the final website. 
-
-For other users who would like to follow our process, you can use the example in the [create_website.Rmd](https://github.com/uwescience/WaterReuseDSSG2024/blob/main/geo-ndxr/create_index.Rmd) file to understand how our list is structured.
+We knew that it was important to maintain the conceptual indicator/driver structure shown on the [Motivation](https://uwescience.github.io/WaterReuseDSSG2024/motivation/). We did this by creating a list mapping the drivers to the indicator values (columns) they are measured by. This impacts both how the index is calculated and the menu options that appear on the final website. This is detailed in following pages and in the [create_website.Rmd](https://github.com/uwescience/WaterReuseDSSG2024/blob/main/geo-ndxr/create_index.Rmd).
 
 
 ## Data Citations 

glossary.md

@@ -1,5 +1,3 @@
-# Glossary
-
 ## User Roles
 
 **Index Creator:** uses R functions provided in this repo to determine which variables are included in an index, pre-process them, calculate the default index, and generate an interactive website.

intro_geo_ndxr.md

@@ -1,11 +1,9 @@
-## geo-ndxr
+## GeoNdxR
 
-`geo-ndxr` is a low-code tool that enables R users to create custom-made, dynamic websites showcasing a geographic index.
+`geondxr` is a low-code tool (pipeline via a GitHub Repository) that enables R users to create custom-made, dynamic websites showcasing a geographic index.
 
-`geo-ndxr` helps R index creators pre-process the data they want to include in an index, calculate the index, and map it. From there, Creators can make their index website available to web users as an `.html` file that can be hosted on a service like Github pages. The index website includes a user interface that enables web users to tweak the default index generated by the creator based on variables they are interested in and to zoom in on their specific local area. 
-
-`geo-ndxr` uses [WebR](https://docs.r-wasm.org/webr/latest/) to deliver computation (like index re-calculation and interactive mapping based on user-selected variables) **directly in the web user's browser**, making it drastically easier for index creators to build and host a website containing their index. This ensures the longevity and affordability of the resulting dynamic websites (it's free!).
+`geondxr` helps R index creators pre-process the data they want to include in an index, calculate the index, and map it. From there, Creators can make their index website available to web users as an `.html` file that can be hosted on a service like Github pages. The index website includes a user interface that enables web users to tweak the default index generated by the creator based on variables they are interested in and to zoom in on their specific local area. 
 
+`geondxr` uses [WebR](https://docs.r-wasm.org/webr/latest/) to deliver computation (like index re-calculation and interactive mapping based on user-selected variables) **directly in the web user's browser**, making it drastically easier for index creators to build and host a website containing their index. This ensures the longevity and affordability of the resulting dynamic websites (it's free!).
  <img src="{{ site.url }}{{ site.baseurl }}/assets/img/process.png" alt="GeoNdxR Process Diagram">
-
 The above diagram illustrates the entire process of cleaning geospatial data at different scales, reducing redundancy across different indicators, and presenting the final index in a convincing and intuitive format. This process is streamlined via our R pipeline available on our GitHub repository. Users with basic R programming skills can download or clone our repository and use our tools themselves.