**Lab Summary: Digital Data**

In this lab, we delved into the realm of digital data manipulation, focusing on various techniques and tools within ArcGIS Pro. Here's a breakdown of the key activities we performed:

1. **National Map Cities Data**: We accessed and analyzed city data from the U.S. Government website, using shapefiles to represent cities and towns. We demonstrated how to download and decompress data files, visualize them in ArcGIS Pro, and select specific geographic features for further analysis.

2. **Census Data Analysis**: We explored census data for Minnesota/Wisconsin border regions, visualizing population density using graduated colors symbology. We utilized statistical tools to analyze the distribution of data values and optimized symbology for clearer representation.

3. **Selection by Location**: We learned how to select specific data points based on their spatial relationship with other features. By performing spatial queries, we isolated relevant data subsets for focused analysis.

4. **Table Manipulations**: We conducted basic table operations, such as adding new fields, sorting records, and calculating values based on predefined criteria. These operations allowed us to classify data and assign categorical labels for further analysis.

5. **Mapping and Visualization**: We created visually appealing maps by applying appropriate symbology, labeling features, and arranging map elements like legends, scale bars, and north arrows. These maps effectively conveyed geographical information and analysis results.

6. **Shaded-Relief Elevation Map**: We utilized elevation data to generate shaded-relief maps, enhancing terrain visualization. By adjusting symbology and transparency settings, we achieved a visually informative representation of elevation data overlaid with hydrologic features.

7. **NWI Data and Basic Table Manipulations**: Finally, we explored wetland data and performed basic table manipulations to classify wetland types based on area. Through manual selection and attribute assignment, we categorized wetlands into different size classes, facilitating further analysis and visualization.

Overall, this lab provided valuable hands-on experience in working with digital spatial data, conducting spatial analysis, and creating informative maps for diverse geographic applications.