Lecture

Spatial Analysis: Spatial Statistics and Analysis

Description

This lecture covers spatial statistics and analysis, focusing on topics such as digital elevation models, plan curvature algorithms, hydrological characteristics estimation, land cover statistics, Moran's I, and geographically weighted regression. It also delves into the concepts of spatial autocorrelation, kernel functions, and global Moran's I. The instructor discusses the importance of understanding spatial relationships and the application of various statistical tests in spatial analysis.

Instructors (2)

velit minim aliquip sunt

Mollit Lorem laborum exercitation anim veniam. Eu pariatur ex magna aliqua velit ex sunt ex ea. Consectetur ea occaecat ad ex dolor elit consectetur.

mollit est excepteur

Ipsum cillum velit occaecat laborum id irure commodo. Incididunt elit aliqua fugiat minim reprehenderit minim commodo incididunt minim amet enim. Consectetur labore exercitation anim eu aliquip. Ex nisi id sunt est minim do amet ullamco cupidatat sunt non. Dolor irure non qui commodo ea sint enim do esse. Dolore commodo sint non esse tempor reprehenderit mollit nostrud reprehenderit ut culpa.

Official source

https://mediaspace.epfl.ch/media/0_ea5rznw4

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.

Ontological neighbourhood

Computer engineering

Computer graphics: 2D computer graphics

Industrial and production engineering

Industrial processes: Machine tool

Earth science

Technical geography: Geographic information systems

Related lectures (61)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.