Description
Read the posted slides of Chapters 5 and 6 of the optional textbook – Interactive Data Visualization: Foundations, Techniques, and Applications: of Chapter 5 Visualization Techniques for Spatial Data of Chapter 6 Visualization Techniques for Geospatial Data ? Identify two geospatial datasets (the two datasets should use different geographic maps in visualization. For example, one dataset uses a city map, and the other dataset uses a country map) and one spatial dataset (e.g., medical imaging, flow data, point cloud, or other scientific computational simulation or modeling data). ? Use Python or R to visualize data in each dataset and explore trends/patterns. When you do visualization of your datasets, try different spatial/geospatial data visualization techniques for different datasets. Your work will be graded based on the variety and quality of the generated visualization. Prepare a report (in Word or PDF format) in which you describe the identified datasets. For each data dataset, 1. Explain the dataset type (whether the dataset is in the form of a table, network, tree, field, geometry, cluster, set, or list see textbook Section 2.4, Page 24). 2. Explain data types (whether the data in the dataset is in the form of items, attributes, links, positions, or grids see textbook Section 2.3, Page 23). 3. Explain the number of attributes/dimensions, the attribute types and semantics of the data (i.e., the real-world meaning of the data, see textbook Sections 2.5-2.6, Page 31).4. Include into the report the visualization figures of the data and your best explanation of trends/patterns/outliers discovered through data visualization.
