ENVS363 - A Computational Analysis of GIS and Spatial Data Insights Assignment

Assignment Task

Task

1. Create a geodemographic classification and interpret the results. In the process, answer the following questions:

• What are the main types of neighbourhoods you identify?

• Which characteristics help you delineate this typology?

• If you had to use this classification to target areas in most need, how would you use it? why?

2. Create a regionalisation and interpret the results. In the process, answer at least the following questions:

• How is the city partitioned by your data?

• What do you learn about the geography of the city from the regionalisation?

• What would one useful application of this regionalisation in the context of urban policy?

3. Use the OpenStreetMap package to osmdata download Point of Interest (POIs) Data for the Bay Area or San Francisco. Using this this data, complete the following tasks:

• Visualise the dataset appropriately and discuss why you have taken your specific approach

• Use DBSCAN to identify areas of the city with high density of POIs, which we will call areas of interest (AOI). In completing this, answer the following questions:

  • What parameters have you used to run DBSCAN? Why?

  • What do the clusters help you learn about areas of interest in the city?

  • Name one example of how these AOIs can be of use for the city. You can take the perspective of an urban planner, a policy maker, an operational practitioner (e.g. police, trash collection), an urban entrepreneur, or any other role you envision.

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