Weather data are huge. Traditional visualization techniques are limited to show temperature trends. Pixel-based approaches could be used to visualize the huge amount of weather data and in process show the temperature trends. A prototype using this approach is built to make temperature data more understandable in changing trends. It is implemented using a 2D representation and many popular interaction techniques. It is a lightweight and reusable tool to visualize temperatures.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-20969 |
Date | January 2012 |
Creators | Liu, Jiayi |
Publisher | Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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