Skip to main content

Spacecam – Terry Hope ****

I love a good book of space pictures, but it’s a difficult balance. For a book to be readable it can’t be too big – yet you want the pictures to be as large as possible. Spacecam comes in at the bottom end of the compromise. It’s about the size of a trade paperback, but in landscape format, which helps with the pictures. I’d really like it to be a little bigger to get the full glory of these images, but it’s big enough that the shots can be quite stunning, while at the same time it is a manageable size.
Having said that it is surprisingly heavy as it packs in 256 glossy pages – a lot for a book like this. After a couple of pages of introduction, this is a picture book with captions, rather than a flowing text, which I don’t generally like, but the quality of the images and quite informative captions (packing a lot in at the price of pretty small text) make the best of the format.
There’s a good mix here. Lovely colour shots from the Apollo missions, excellent Hubble space shots, a good range of photos from planetary missions and a wide range of satellite shots of the Earth – because we shouldn’t forget that arguably the great successes of the space missions have been those that look back on our planet.
It’s always a difficult choice when doing this kind of book to decide on the design of the pages. I personally find the black backgrounds of many space photography books, including this one, a little oppressive – I prefer the crisp contrast of a light coloured page – but it’s bearable.
Whether we’re looking at collapsing ice-sheets, the scarily Lord of the Rings-like Cat’s Eye nebula or an Apollo astronaut collecting lunar samples, there’s a lot to enjoy here. I think inevitably this may work best as a dip-in book, the sort of thing you might keep in the loo, but having said that, I found it intriguing enough to go through it beginning to end on a train journey. All in all, a very good attempt at what is inevitably a difficult type of book to pull off.

Paperback 

Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on