Statistics of the Administrative County of London ... together with certain statistics of the adjacent districts.

The British Cartographic Society WINNER The BCS Award 2015 WINNER The Stanfords Award for Printed Mapping 2015 WINNER John C Bartholomew Award for Thematic Mapping 2015 In London: The Information Capital, geographer James Cheshire and designer Oliver Uberti join forces to bring you a series of new maps and graphics charting life in London like never before When do police helicopters catch criminals? Which borough of London is the happiest? Is 'czesc' becoming a more common greeting than 'salaam'? James Cheshire and Oliver Uberti could tell you, but they'd rather show you. By combining millions of data points with stunning design, they investigate how flights stack over Heathrow, who lives longest, and where Londoners love to tweet. The result? One hundred portraits of an old city in a very new way. Dr James Cheshire is a geographer with a passion for London and its data. His award-winning maps draw from his research as a lecturer at University College London and have appeared in the Guardian and the Financial Times, as well as on his popular blog, mappinglondon.co.uk. He is a Fellow of the Royal Geographical Society. Oliver Uberti is a visual journalist, designer, and the recipient of many awards for his information graphics and art direction. From 2003 to 2012, he worked in the design department of National Geographic, most recently as Senior Design Editor. He has a design studio in Ann Arbor, Michigan.

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).