Week 6 Lab: Georeferencing Rasters

This week I was asked to georeference image rasters to known values from that of a road/building shapefile. The process was fairly straightforward and did not provide many problems. For the first image the total RMS Error was 4.88349 and for the second it was calculated to be 1.36515

Data research lab

For this weeks lab I was asked to find required data online and input that data into a readable map. My main source of data was from palm beach county website where they had organized the data very well for the public. Finding the appropriately labeled data and then getting the data organized within ArcGIS was a time consuming task. A few times I had to extrapolate the data from each layer to the specific entities I wanted to isolate. Overall this was a very helpful lab in utilizing all the skills learned thus far but was also fairly difficult as well.

Lab: Projections

This week I was asked to complete the Projections Lab Assignment. Due to unforeseen circumstances I was unable to give the lab the time it needed. Once I got into the lab I had a very hard time as well. Using the project tool I kept getting error "data already exists." I attempted to rename the file and tried again to no avail. I deleted it then moved the file and again renamed it to no avail. I attempted to continue using the file it would allow me to continue with (_stateplanen_project) but then got the "fail to execute project" error. I was unable to continue from this point since I did not alot for the appropriate amount of time needed to complete this lab. I would like to complete the lab for a grade but I understand the rules regarding late assignments.

Haiti Participation Map

The source of the map is UNOSAT obtained through Reuters. The map displays population density of Haiti and The Dominican Republic. This map would be vital in rescue and recovery efforts for post-quake Haiti in that it shows the highest density of human population. This is important since highest population densities tend to have a higher need for support, using this map would allow rescuers to plan where they need to focus their efforts. This is a very detailed map which is good for obtaining information but it is also confusing to an extent because of the extent of information displayed on the map. This would be a good map for experts familiar with reading this type of map but for novices such as myself it is a little hard to read.

Week 3 Deliverables

This week I was asked to create three different maps using ArcGIS and ArcCatalog. Map 1 called for loading data from ArcCatalog and integrating into ArcGIS. I used the data to create a map following the instructions posted on e-learning. The first map proved to be challenging in several ways. First, my data did not allow me to change certain aspects that the guide prompted for nor did it show the tabs for a few of them which led to a lot of straying into other tabs to find what I needed to accomplish. Overrall, the map turned out ok but probably not exactly as required.

Map 2 called for starting with the map left off by map 1 which proved a little problematic since my map 1 did not turn out perfect. The biggest problem I had with this map was getting the inset map to its appropriate location. I would suggest starting with a perfect map to help avoid trouble compounding on itself through the exercises.

Map 3 turned out to be fairly straight forward. After loading data from Arc Catalog I was asked to compare a stretched and classified format to the elevation map. I toggled briefly between each view then finished the map with relative ease.