Friday, January 19, 2024

LAB 5 Surface Interpolation

The use of interpolation for water quality in Tampa Bay is actually a excellent use of this kind of data. Interpolation is the creation of new data based one actual data points. For this particular scenario four different interpolation techniques were used on this data IDW, Thiessen, and Spline( Regularized and Tension). Each of the methods are unique in their approach in creating a layer suing the given points. For instance Spline creates data based off a line that curves through the points and uses that information to create the rest of the data with the regularized creating a smoother surfaces and the tension creating stiffer layer that are more constrained with the sample data (as seen above). While Thiessen creates polygons based on their proximity to the closest point and IDW runs off the assumption that proximity means there more things in common which is similar to dispersion. 




   

  


Thursday, January 4, 2024

LAB 3 Data Quality - Assessment


The goal of the accuracy assessment is to determine the completeness of the roads compared to each other in each gridcode in the study area. Specifically how different the Centerline shapefile is from the Tiger shapefile in the grided area. In order tot do this I had to clip the two shapefiles by the grid to only calculate the roads in that area. Then I used the intersect tool between the grid layer with each of the road layers. Then after that I used the percent difference formula in excel with the centerline as the base line to calculate the difference in length within each grid between the two road shapefiles.




LAB 6 Scale Effect and Spatial Data Aggregation

In regards to the effects of scale on vector data I learned that as the larger the scale the larger the units that are measured come out to ...