chore: formatting

src/content/blog/2024-08-22-understanding-the-ugrc-api-for-address-locating.mdx

@@ -22,7 +22,7 @@ The road centerlines and address point data is regularly updated, with the "Big
 
 ## Road centerlines versus address points
 
-Road centerlines and address points are two different datasets that work together to provide the best address location match rates. By default, both datasets are used to provide the solution and address points have priority in the case of a tie. The UGRC API provides which dataset solved your request in the response and you are able to specify which data participates in the match using the `locator` optional input. [Read the documentation](https://api.mapserv.utah.gov/docs/v1/endpoints/geocoding/) for a more complete look at the options available to tune the results. This is important since the road centerlines are used to determine the location of an address along a road segment, while the address points are used to determine the exact location of an address. 
+Road centerlines and address points are two different datasets that work together to provide the best address location match rates. By default, both datasets are used to provide the solution and address points have priority in the case of a tie. The UGRC API provides which dataset solved your request in the response and you are able to specify which data participates in the match using the `locator` optional input. [Read the documentation](https://api.mapserv.utah.gov/docs/v1/endpoints/geocoding/) for a more complete look at the options available to tune the results. This is important since the road centerlines are used to determine the location of an address along a road segment, while the address points are used to determine the exact location of an address.
 
 By using both datasets together, you will get the best match rate the data can provide. But a match on the road centerlines has a different meaning than a match on the address points. But if you are zooming, routing, extracting data, or looking for a generalized location for analysis a match on the road centerlines is a great option.
 

src/data/staff.ts

@@ -5,7 +5,7 @@ export const staff = [
     phone: '801 550-7754',
     email: '[email protected]',
     x: '',
-    tags: ['vision', 'strategy', 'leadership', 'collaboration', 'new opportunities',],
+    tags: ['vision', 'strategy', 'leadership', 'collaboration', 'new opportunities'],
   },
   {
     name: 'Zach Beck',

src/pages/products/sgid/cadastre/parcels.astro

@@ -390,10 +390,9 @@ const countyMetadata = [
       The Land Information Records (LIR) work group organized by the Governor's Office of Management and Budget has
       facilitated a voluntary sharing of tax roll parcel data from County Assessors to support public safety, economic
       development, transportation, planning and the provisions of public services. In May of 2016, the Land Information
-      Records work group released its 
-     <a href={recommendationDocument}>Land Use Information Records Recommendations
-    </a> and 
-    <a href={download}>Expanded Parcel Data Sharing Implementation Guidelines</a>.
+      Records work group released its
+      <a href={recommendationDocument}>Land Use Information Records Recommendations </a> and
+      <a href={download}>Expanded Parcel Data Sharing Implementation Guidelines</a>.
     </p>
     <h4>Updates</h4>
     <p>