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In this course, you will learn:
- How to use morphological traits and performance indicators to evaluate different spatial layouts.
- Use abstraction to expose only the parameters that are most relevant to the subject under investigation.
- Encapsulation can be used to manage problem complexity.
- Using morphological and raytracing analysis to analyze performance indicators
- Understanding morphological analysis concepts such as plot ratio, capacity ratio, and passive zone proportion, among others.
- raytracing analysis: sky view factor, sun exposure factor, viewsheds, and so on.
- Alternative spatial layouts are being assessed based on a variety of performance measures.
- Using a variety of performance indicators to evaluate different spatial arrangements.
- Weighted performance measures can be used to support decision-making.
- Integrating non-spatial data types into procedures for spatial data modeling.
- Data visualization strategies.
- Knowing how to break down complex procedures into a series of smaller functions.
- Understanding how to document functions in a way that allows them to be reused.
- Understanding how to construct and share reusable function libraries is essential.
- There is a distinction between local and global functions.
- Creating flowcharts with the ability to be imported as global functions.
- Implementation strategies for global functions.
- Using the Geographical Viewer.
