The list author says: "Technical illustration presents special demands. The information is clear, hard, factual, commonly very complex. Scientific datasets routinely include high dimensionality and huge volumes of data. Here are a few places to look for ideas on presenting huge amounts of information in ways that are easy to grasp.
BTW, I no longer see Science magazine, from the AAAS, in Amazon's catalog. One of the world's two premier general-science periodicals, every issue includes some of the very finest in data presentation. Study its charts and diagrams; learn from the best."
"Buddhists have a word for people like Felice Frankel, highly advanced beings who choose to share their knowledge for the betterment of us mortals. This photographer uses her visual artistry to make powerful contributions to research on the cutting edge. She not only presents knowledge, she creates it."
"Combining data with location on the earth's surface - a rich and expanding field. Unfortunately, this book predates mashups based on Google Maps. Despite its recent publication, it's already at least one revolution out of date."
"Sometimes, if your production budget allows, pull-tabs, spinner wheels, or other paper gadgets convey complex ideas even better than flat, static print by itself. Use this book as a starting point for inspiration."
"The newest in Tufte's series. If this book has one message, it is to unite your text and imagery. Lots of examples, both good and bad - makes you wish for page layout and graphic software that can rise to the level that Tufte demands."
"A very weak book, nominally of the "what not to do" sort. Its real value is in providing unwittingly bad examples on just about every page. (I haven't seen the second edition, which seems to have been improved.)"
"Interesting, but largely as a bad example. Visual notation works well for capturing the gestalt; textual representation gives the high density needed for mathematical (or mathematic-logical) notation. This shows why diagrams can't replace text for density of detail. Lots of visual notations work well, just not this one."
"Mixed feelings about this as a visual representation. Sort of like flowcharts, if a million years of could evolution break it up into a dozen species with different purposes. The reader must adapt to the notation, but in my world the notation adapts . Still, it's widely used for software and system architecture. Tool of choice within its realm – a very limited realm."