Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization)

The many colour illustrations in the book are one of its neatest features. They help greatly in conveying what can be done with good visualisation ideas. You might usefully combine reading this book with another recent text from Springer - "Visualising the Semantic Web" by Geroimenko and Chen. The latter book has more emphasis on XML encoded data that is geared towards the Semantic Web. Whereas this book takes a more general approach towards the data being researched. But the combination of both books may give insight into your visualisation issues.The book covers a wide range of subjects. One section deals with volume visualisation in the medical field. Typically, there is medical data that comes from or maps to a 3 dimensional volume inside a body. How then to usefully display this? While another section involves displaying vector fields. There is even a chapter delving into grid computing and how to handle the massive amounts of data generated.