Introduction to spatial autocorrelation

In course

Consequat enim laborum mollit cillum nulla officia laborum dolor ex. Do sit proident incididunt sit ullamco culpa eiusmod elit culpa reprehenderit commodo esse aliqua culpa. Cillum velit sit culpa proident ipsum labore amet est et qui consectetur proident. Cillum ut consectetur consequat sit culpa minim occaecat officia nulla anim et. Amet in voluptate laboris irure do velit mollit pariatur laboris adipisicing sunt. Qui consectetur proident deserunt fugiat fugiat sunt.

Description

This lecture introduces the concept of spatial autocorrelation, focusing on the measurement of a spatial weights matrix to assess the intensity of geographic relationships between observations in a neighborhood. It covers classic spatial autocorrelation statistics that compare spatial weights to covariance relationships at pairs of locations, along with practical applications in spatial weighting schemes and the use of Moran's I as a regression coefficient.

Official source

https://mediaspace.epfl.ch/media/0_k06koc17

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (33)