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Fascinating insects from around the world, including some newly discovered species. Insects account for more than half of the approximately 1.7 million named species ...
From carpet pythons in the rafters to skinks climbing up the walls, this eye-catching, entertaining and informative book is both a guide book and a ...
We live in an age of artificial intelligence. Machines think and act in ever more complex ways, making suggestions and decisions on our behalf. While ...
Ever wondered what those "foreign" plant names mean? In this book, all the known wildflowers and weeds int the state - 12,800 of them - are ...
From 1937 to 2009 the Australian Federal, State and Territory Governments, jointly, stationed a succession of botanists at the Royal Botanic Gardens, Kew. Their role ...
This book features a selection of all new material from the online Wilderness Journal, a celebration of nature, science, culture and art. Through rivers, deserts ...
An internationally recognized scientist shows that Earth's separate continents, once together in Pangea, are again on a collision course.
You've heard of Pangea ...
Everything you need to crush chemistry with confidence
Chemistry All-in-One For Dummies arms you with all the no-nonsense, how-to content you'll need to pass ...
The Field Description of Metamorphic Rocks The Field Description of Metamorphic Rocks, Second Edition
This pocket-sized field guide describes how metamorphic rocks and rock masses ...
A comprehensive and practical handbook that identifies fishes commonly seen in Australian waters. The species entries are grouped in families in the internationally accepted scientific ...
With over 4,000 entries, this informative A to Z provides clear, jargon-free definitions on a wide variety of mathematical terms. Its entries cover both ...
Get started with QGIS with this introduction covering everything needed to get you going.
This tutorial, based on the 3.16 LTR version, introduces you ...
This book contains a collection of 32 short stories by 26 geologists and a mining engineer who have given some, and often much, of their ...
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are ...