Module 3.1 Scale Effect and Spatial Data Aggregation
Here we are at the finish line in Special Topics in Geographic Science with the last module! For this week's lab we covered several topics such as scale effects, basic resolution, and gerrymandering, with two main objectives: To examine the effects of scale and resolution on the properties of spatial data and become familiar with the Modifiable Area Unit Problem (MAUP). Some of the learning outcomes for this week were being able to understand of the effect of the Modifiable Area Unit Problem (MAUP) using OLS analysis. Understanding the effects of scale on vector data and being able to explain the effects of resolution on raster data. As well as knowing how to Identify multipart features and how to measure compactness. Vector data points, lines, and polygons are highly sensitive to scale. At smaller scales (zoomed out), features are generalized to reduce complexity and improve performance. This can lead to simplification of boundaries, omission of minor features, and distortion...
