Skill Drill: Creating A Density Surface Model Based on Your Criteria
In this step, you will choose a different crime category from the Los Angeles crime data. Use an attribute selection to create a new layer based on your chosen category. Determine the average distance between data points to determine your initial search neighborhood.
You may alter the search neighborhood to find more meaningful patterns in the data based on your judgment. When making alterations to the search neighborhood, consider the following questions:
- Does the average distance between data points make the most sense?
- Should I visually look for clusters of data points and use those areas to define the search neighborhood?
- Am I looking for general patterns on a city-wide scale?
- What scale would be most useful to the Los Angeles Sheriff’s Department for allocating resources?
Choose either the Simple Method or Kernel Method for creating your density surface model.