Spatial Analysis of Berlin Rent Prices and Landlord Premiums

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Spatial Analysis of Berlin Rent Prices and Landlord Premiums

This is a project whose goal was to make an attempt of creating a viable benchmark for Berlin rent prices based on spatial data and statistical regression models. The idea of Landlord premiums is also brought up and researched.

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  • 10 Students Enrolled
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Tags:
Spatial Real estate Berlin



Courselet Content

2 components

Requirements

  • R, Statistics

General Overview

Description

This project is trying to:

  1. Developing a spatial framework to work with infrastructural spatial data in the city of Berlin;
  2. Model the rent prices based on previously scraped real data;
  3. Geocode addresses to lat. lon. formats;
  4. Use distance measurements and normalization techniques to create a scoring system for evaluating the different areas of Berlin in connection with real estate location;
  5. Explore the idea of landlord premiums as an over-under-evaluation factor for real rent prices.

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Meet the instructors !

instructor
About the Instructor

Hi I'm Ivan

Product Analytics at Forto and a Master's student at the Humboldt University of Berlin studying Quantitative Methods.