Lecture
Geospatial Data Analysis: GeoDa Software
Description
This lecture covers the main functions of the GeoDa software for exploratory analysis of vector data attributes. Students learn to create thematic maps, histograms, box plots, scatter plots, and perform spatial autocorrelation and regression calculations. The unique feature of GeoDa is its dynamic interaction, known as brushing, which allows combining different representation tools during analysis.
In MOOCs (2)
Introduction to Geographic Information Systems (part 2)
Ce cours constitue la seconde partie d'un enseignement consacré aux bases théoriques et pratiques des systèmes d’information géographique. Il propose une introduction aux systèmes d’information géogra
Introduction to Geographic Information Systems (part 2)
Ce cours constitue la seconde partie d'un enseignement consacré aux bases théoriques et pratiques des systèmes d’information géographique. Il propose une introduction aux systèmes d’information géogra
Instructor
labore sint
Aliqua est irure dolor tempor laborum aute officia sit officia nostrud voluptate aute. Deserunt proident ad aute pariatur fugiat consectetur duis do esse ad dolore excepteur nulla veniam. Sint reprehenderit magna cupidatat aliqua nostrud ea aliquip mollit amet velit deserunt. Magna fugiat laboris minim duis qui do duis eiusmod incididunt labore dolor ut voluptate. Dolor consectetur esse incididunt voluptate culpa magna commodo aute qui. Ea non nisi fugiat nulla veniam veniam incididunt commodo anim. Laboris eu sint velit cupidatat sunt non consectetur excepteur aliqua.
Official source
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)
Geoda Software: Geospatial Data Analysis
Covers the GeoDa software for geospatial data analysis and thematic mapping.
Analysis of Geographic Information: GeoDaMOOC: Geographical Information Systems 2
Covers the main functions of the GeoDa software for exploratory analysis.
Thematic Attributes and Classification
Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.
Structuring exploratory spatial data analysis
Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.
Introduction: ESDA in environmental health
Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.