Spatial Computing (Essential Knowledge) - Shashi Shekhar and Pamela Vold ***

A part of the increasingly interesting MIT Press Essential Knowledge series, the topic of this book may at first glance be puzzling - but it's about something many of us use every day - information technology that makes use of spatial information, such as the GPS sat nav system.

One oddity of this series is that it is very inconsistent in the level the books are pitched at. Some are way too technical for the general reader. This one, though, is a straightforward descriptive text with very limited technical detail. There's nothing here that is likely to baffle someone from outside the field and lots of information on where the various technologies have come from (including John Snow's famous map-based identification of the source of a Victorian London cholera outbreak), the basics of how they work and where they are likely to go from here.

If you actually have a need to know this stuff, it's an ideal primer. My only real concern about the book is that I'm not sure I did need to know - it felt a bit too much like doing homework. In their preface, the authors say 'How could a technology used by billions of people around the world not have an accessible guide to describe it to a broad audience?' I think, for me, the answer is 'Because it's not very interesting.' I love using this stuff, but I didn't find reading about it particularly inspiring.

That's not to say that the book won't be useful, whether you've been set an assignment on remote sensing, positioning systems or geographic information systems or you work in a field that makes use of such technology - but as a daily user of GPS, I've already got the basics and I really didn't need to detail.

For those with an interest in the field but limited knowledge, though, it's an excellent, pocket-sized introduction.

Paperback:

Kindle:

Using these links earns us commission at no cost to you

Review by Brian Clegg

Comments

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

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

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

Search This Blog