It was another busy lab this week which covered some basic information with using vector data, file geodatabases, and feature classes. It also presented the iterative spatial analysis process:
- Define the problem
- Define the criteria
- Identify the data you need
- Plan the analysis
- Prepare the data for analysis
- Execute the analysis
- Examine and present the result
The first lab provided step by step instructions on setting up a file geodatabase, creating feature classes and querying data, both spatial and non-spatial. The second lab assignment offered a semi-guided walk through the spatial analysis process.
In that lab it was necessary to import the correct features and generated various types of buffers. Some fixed, variable, and multi-ringed buffers where created, overlaid, union, or intersects. Although described it demonstrated a data engineering/machine learning technician called one-hot encoding. It was a very simple example but shows how a simple one or zero can be used to identify distinct classification of data.
To no end here is a map showing the results of suitable campsites which meets the lab's criteria.
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