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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
The development of such an application will involve:
— transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ;
— then, making images from this information by using spatial and linear interpolation techniques ;
— finally, implementing how the user interface will react to users’ actions.
Course 5 of 5 in the Functional Programming in Scala Specialization
Syllabus
WEEK 1
Project overview
Get an overview of the project and all the information to get started. Transform data provided by weather stations into meaningful information.
WEEK 2
Raw data display
Transform temperature data into images, using various interpolation techniques.
WEEK 3
Interactive visualization
Generate images compatible with most Web-based mapping libraries.
WEEK 4
Data manipulation
Get more meaning from your data: compute temperature deviations compared to normals.
WEEK 5
Value-added information visualization
Generate images using bilinear interpolation.
WEEK 6
Interactive user interface
Implement how the user interface will react to users’ actions
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.