Learn about local Moran's I in Python using Airbnb data in Berlin residential districts (2018) /

This dataset teaches readers how to estimate and understand Local Moran's I, along with techniques for mapping and plotting in Python. This dataset contains data related to residential districts in central Berlin, Germany, and information about the boundaries of districts, as well as informatio...

Full description

Bibliographic Details
Main Author:	Wolf, Levi John (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Spatial analysis (Statistics) Housing > Prices > Germany > Berlin. Python (Computer program language) Analyse spatiale (Statistique) Logement > Prix > Allemagne > Berlin. Python (Langage de programmation) spatial analysis. Housing > Prices Germany > Berlin
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset teaches readers how to estimate and understand Local Moran's I, along with techniques for mapping and plotting in Python. This dataset contains data related to residential districts in central Berlin, Germany, and information about the boundaries of districts, as well as information about prices for Airbnbs in each district. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
Physical Description:	1 online resource : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9781526499394 1526499398