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Finding the Ideal Retirement Locations for Mom and Dad: A Suitability Analysis

This project aims to create a suitability map that identifies the best places for retirement based on key factors such as summer and winter temperatures, humidity levels, demographics, and natural disaster risks. Using ArcGIS ModelBuilder, we will develop a dynamic model that allows for adjustments to input variables and their rankings. By assessing the areas in relation to hurricanes, crime rates, taxes, and proximity to urban centers, we will provide a comprehensive guide for optimal retirement locations tailored to specific needs.

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Finding the Ideal Retirement Locations for Mom and Dad: A Suitability Analysis

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  1. Retirement Location Suitability Where should Mom and Dad spend their golden years?

  2. Goals • To create a suitability map to determine the ‘best places’ to retire based on certain factors • Utilize ArcGIS ModelBuilder to create a model that can be used to vary input factors as well as importance and rankings Use Weighted Overlay tool

  3. Objectives • Determine factors and preferences • Gather, clean, manipulate data • Build model • Evaluate model and results Iterate as necessary

  4. Input Factors • Summer Relative Humidity • Summer Temperature • Winter Relative Humidity • Winter Temperature • Asian population • Earthquake events

  5. Vector Raster

  6. Earthquakes?

  7. Input Raster 1 Input Raster 2 Output Raster Weighted Overlay Example 2*0.75 + 3*0.25 = 1.50 + 0.75 = 2.25 (rounded to 2) source: ESRI ArcGIS website

  8. Classified Rasters

  9. And the winners are…

  10. Future Considerations • Hurricanes • Crime rate • Distance to city with population > 50,000 (city limits) must be < 50 miles • Property tax • Sales tax

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