Module 3 - Data Collection with ArcGIS Field Maps - Data Collection with ArcGIS Field Maps & Projections Labs

 This module was a nice change of pace as we had two labs to complete, one including going out from behind the computer and collecting our own data in the real world. 

Data Collection with ArcGIS Field Maps

This lab exercise was far & beyond my favorite so far. I found it so incredibly intriguing that with the use of your phone, in conjunction with ArcGIS, you can collect and display data you have collected in real time. In this exercise we learned how to set feature classes, domains, and conditions on a blank map in ArcGIS.  We then were able to link the project with the web version of ArcGIS. From there we could link it with the Field Maps app for mobile and collect data on selected public safety features in our neighborhood. I chose to collect data on stop signs as I knew they were the most abundant in my area. I learned how to export this data to the map I created previously for display. We also learned how to share this map in various ways depending on the user. Through the use of of KML files, I was able to create a shareable webmap in ArcGIS online and also a shareable map in Google Earth. 

Above is my final map created in Google Earth from a KML file of the my project in ArcGIS Pro. It displays my neighborhood of St. Nicholas in Jacksonville, FL with the point data being locations of stop signs in the area. Green points display for stop signs in excellent/like new stop signs. Yellow points display stop signs in fair condition. No signs in poor condition were found, they would display as red points.

Projections

In this exercise we looked at how to re-project data. We used a shapefile in Albers projection and looked at key differences between UTM 16 and State Plane projections.  

My final map was created by displaying all three maps in their respective projections together in a layout. Through the use of attribute tables I selected certain counties and created a new layer to display them using Symbology. The projections show differences visually, however within the attribute tables I created the differences are much more apparent quantitatively, as you can see in the area table provided below the maps. This is my most visually appealing map I have created thus far and am quite proud of it. I spent some quality time playing around with the software to utilize new techniques to make my  work stand out more.