Table of Contents
- Exploring Patterns of Crime In Los Angeles County Using A Density Surface Model
- Setting up Your Workspace
- Preparing the Data
- Skill Drill: Clipping the LA City Boundaries to the Census LA County Boundary
- Skill Drill: Adding XY Data
- Skill Drill: Clipping the Crime Data to the Census LA County Boundary
- Skill Drill: Creating a Subset of the Data Based on Crime Category
- Changing Global Environment Settings for Raster Processing
- Creating a Density Surface Model Using the Simple Method
- Creating a Density Surface Model Using the Kernel Method
- Skill Drill: Creating A Density Surface Model Based on Your Criteria
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.