Update README.md

README.md

@@ -103,6 +103,19 @@ This dataset provides comprehensive information about urban trees within a speci
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+The `GS_TreeInventory.shp` file encompasses a range of attributes for each record:
+
+- **OBJECTID:** Unique identifier for each record.
+- **streetaddr:** Street address where the tree or planting site is located.
+- **city:** The city name, which is Durham.
+- **zipcode:** Postal code for the location.
+- **facilityid:** Identifier possibly linked to a facility or area associated with the tree.
+- **present:** Type of feature present, such as a tree or a planting site.
+- **genus:** Genus of the tree.
+- **species:** Species of the tree.
+- **commonname:** Common name of the tree.
+- **plantingda:** Date or year range when the tree was planted or the planting site was established.
+- ... 
 ### Objectives
 
 1. Combine Shapefile and CSV data into a comprehensive geospatial dataset using Python.