changed county cards in scrollytelling to socioeconomic svi data

stories/black-belt-climate-ej.stories.mdx

@@ -37,15 +37,15 @@ taxonomy:
       Mission: NASA Earth Action: A thriving world, driven by trusted, actionable Earth science
     </p>
     <p style={{ fontSize: '0.9em', fontStyle: 'italic' }}>
-      Disclaimer: This study demonstrates innovative and practical applications of NASA Earth science data to highlight existing environmental inequities. Please note that the results have not undergone peer review.
+      🚧 This Data Story presents work in progress and not peer-reviewed results! 🚧    
     </p>
   </Prose>
 </Block>
 
 <Block style={{justifyContent: 'center', alignItems: 'center', margin: '0 auto', width: '80%' }}>
   <Prose style={{ textAlign: 'justify', flex: 'auto', alignItems: 'center' }}>
     <p>
-     The Alabama Black Belt, a region integral to the Southern United States, derives its name from its dark, fertile soil. This rich land, ideal for agriculture, especially cotton, owes its fertility to a unique geological history. Millions of years ago, when the Gulf of Mexico extended further inland, plankton deposits formed soft limestone called Selma Chalk. Over time, this limestone weathered, creating the calcium-rich, chalky subsoil that characterizes the Black Belt, transforming it into an agricultural powerhouse.
+     The Alabama Black Belt, a region integral to the Southern United States, derives its name from its dark, fertile soil. This rich land, ideal for agriculture, especially cotton, owes its fertility to a unique geological history. In the distant past, when the Gulf of Mexico extended further inland, plankton deposits formed soft limestone called Selma Chalk. Over time, this limestone weathered, creating the calcium-rich, chalky subsoil that characterizes the Black Belt, transforming it into an agricultural powerhouse.
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   </Prose>
 
@@ -112,7 +112,7 @@ taxonomy:
    zoom={6.5}
    datasetId='svi-overall'
    layerId='social-vulnerability-index-overall'
-   datetime='2016-01-01' 
+   datetime='2018-01-01' 
   >
   ## Socioeconomic Stressors
       Analyzing Social Vulnerability Index (SVI) data from the CDC between 2000 and 2022 shows a concerning demographic shift: the younger generation, including those as young as 17, is increasingly moving out of the region, leaving behind an aging population, particularly those aged 65 and above. A linear trend is observed, with color coding representing the slope of this shift. This trend exacerbates the region's vulnerabilities, as the older population becomes more isolated and dependent. 
@@ -143,9 +143,9 @@ taxonomy:
   <Chapter
    center={[-88.547405, 32.022218]}
    zoom={9}
-   datasetId='svi-overall'
-   layerId='social-vulnerability-index-overall'
-   datetime='2016-01-01' 
+   datasetId='svi-socioeconomic'
+   layerId='social-vulnerability-index-socioeconomic'
+   datetime='2018-01-01' 
   >
     ## Choctaw County
     <Figure>
@@ -161,9 +161,9 @@ taxonomy:
   <Chapter
    center={[-86.910817,31.718222]}
    zoom={9.2}
-   datasetId='svi-overall'
-   layerId='social-vulnerability-index-overall'
-   datetime='2016-01-01' 
+   datasetId='svi-socioeconomic'
+   layerId='social-vulnerability-index-socioeconomic'
+   datetime='2018-01-01' 
   >
     ## Butler County
     <Figure>
@@ -179,9 +179,9 @@ taxonomy:
   <Chapter
    center={[-88.427908, 33.280585]}
    zoom={9}
-   datasetId='svi-overall'
-   layerId='social-vulnerability-index-overall'
-   datetime='2016-01-01' 
+   datasetId='svi-socioeconomic'
+   layerId='social-vulnerability-index-socioeconomic'
+   datetime='2018-01-01' 
   >
       ## Pickens County
     <Figure>
@@ -197,9 +197,9 @@ taxonomy:
   <Chapter
    center={[-88.195494,32.25595]}
    zoom={9}
-   datasetId='svi-overall'
-   layerId='social-vulnerability-index-overall'
-   datetime='2016-01-01' 
+   datasetId='svi-socioeconomic'
+   layerId='social-vulnerability-index-socioeconomic'
+   datetime='2018-01-01' 
   >
       ## Marengo County
     <Figure>
@@ -213,6 +213,8 @@ taxonomy:
   </Chapter>
 </ScrollytellingBlock>
 
+
+
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