Thematic attributes and classification

Description

This lecture introduces statistical thematic mapping, different types of thematic maps, and discretization methods. It covers attribute tables, data types, absolute and relative quantitative data, and proportional symbols. The lecture also discusses spatial constraints, value-area ratio, and color ranges in thematic maps.

In MOOCs (2)

Instructor

et dolore

Nostrud officia labore Lorem deserunt incididunt exercitation do ea. Aliqua deserunt mollit consectetur quis eu quis fugiat cupidatat minim. Eu commodo amet est irure et esse eiusmod exercitation irure anim velit consectetur exercitation. Labore sunt eiusmod aute ut pariatur id eiusmod ex ea excepteur aliquip incididunt culpa laboris. Labore labore fugiat qui et mollit laboris dolore duis laborum do consectetur pariatur officia. Mollit veniam est ipsum eiusmod culpa nisi pariatur in aliquip. Commodo dolore sunt aute culpa deserunt magna cupidatat.

Official source

https://mediaspace.epfl.ch/media/0_6y619qzy

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

Earth science

Technical geography: Geographic information systems

Statistics

Statistical inference: Mathematical statistics

Geography

Regional geography: Geography of North America

Related lectures (119)