This is the map place

  45 points fall within the 4.7 meter and the GPS is accurate to four meters. Horizontal accuracy is measured by how close to the point the data falls and precision is how close the multiple results are to each other.

 Unfortunately, I ran out of time on this lab and had to stop at analysis E. Something appears to have happened with the river polylines becoming a raster I suppose, all the steps afterward didn't appear right to me. You can see my results above.

For the above analysis, I performed the reclassifications listed in the lab instructions to get my layers prepped for the Weighted Overlay tool. These reclassification prepared them for easy mathematical computation and interpretation. The alternate map favored slope more highly, which is clear when looking at the results.  

 To do a damage assessment, a series of steps need to be accomplished beforehand. Assuming a real-world scenario, a designated area for the surveyors needs to be established and maps prepared for whatever data collection they method they'll be using. A feature layers for damaged structures needs to created and domains added to them to ensure consistency in data reporting. A mobile app would be best, as it allows them to collect images offline and upload them once they reestablish a connection, allowing you to do QC and editing from the safety and comfort of the office. Below, you can see the completed product before moving to online. The final results show that structures closer to the shoreline are more likely to be damaged by major storm events. Storms rapidly lose energy over land, so this follows logical sense.