Skip to main content
Dataset

Learn About Geographically Weighted Models in Python Using Airbnb Data in Berlin Residential Districts (2018)

By: Levi John Wolf Published: 2019 | Product: SAGE Research Methods Datasets Part 2

This dataset teaches readers how to estimate and interpret a geographically weighted regression in Python. This dataset contains data related to nightly Airbnb prices in Berlin, Germany. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.

Data Type:
Software Guide:
+- LessMore information

You can preview and download the dataset from this tab. The dataset is designed to be used in the GeoJSON format. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

Looks like you do not have access to this content.

Methods Map

Dependent variables

Please log in from an authenticated institution or log into your member profile to access the email feature.

Embed code:
Link to this page directly with a permalink:
Preview example:

Copy and paste the following HTML into your website