Explore various coordinate systems
Gain a deeper understanding of spatial data and coordinate system
Practice troubleshooting some problems regarding coordinate system
In this Lab, I Practiced repair some problems regarding spatial data and coordinate system using ArcMap 10.7.1.
In the first part, I conducted to display various coordinate systems of Greenland and calculated the area of Greenland depending on the change of the coordinate system.
In the second part, I repaired massed up spatial references of data in the state of Minnesota. To complete the task, I identified extent values, defined spatial references, and conducted a datum shift.
I used the countries' data and graticules data for Part 1. I selected Greenland using the attribute table and export data. Also, I applied 5 coordinate systems (Greenland 1996 UTM Zone 24N, Cylindrical Equal Area, WGS 1984 Web Mercator, Robinson, and WGS 1984 Costa Rica_TM90) to calculate the area depending on the change of coordinate system. In part 2, I used the Define Projection in the Data Management tool.
Part 1.
I could identify changing the area as well as the shape of the map depending on the different coordinate systems. I calculated the area using km2 and there is a big difference between the largest (1,3698,990km2) and smallest (35,348,000km2) area. According to the result of the changing coordinate system, ‘Greenland 1996 UTM Zone 24’ is likely to the actual area of Greenland.
Part 2.
I could be more comfortable to correct the spatial references by exploring extent values and defining projections. Notably, checking small values or large values of the extent values is helpful to handle the data in the real world. I could be more comfortable to correct the spatial references by exploring extent values and defining projections. Notably, checking small values or large values of the extent values is helpful to handle the data in the real world. Screen shot1 displays to the Mosquito larvae collection site in the state of Minnesota. Green dots represent the northern sample locations, blue dots represent the central sample locations, and red dots represent the southern sample locations. Screenshot 2 displays the samples on the east bank along a 10km stretch of the Minnesota River. Yellow points represent the sample locations along the river.
1) World (Data from diva-GIS. Org)
2) Minnesota (Data from SWBelmont)
3) Lab03 of WATS 6920 course, USU