The geography of Planet Earth is incredible. From lava lakes, rainbow mountains, auroras, lost world mountains, glowing bioluminescent waters, blood falls, mud volcanoes and blue holes in the ocean. An exploration of 36 extraordinary geographic. These geographic subjects remain little-known and little-documented in other works. Incredible Earth ......
Local Safari offers over seventy easy, safe and ethical ways to discover the nature of your local area. Created in partnership with Jane Goodall’s Roots & Shoots youth groups, this 160-page book encourages young naturalists to have their own local safari adventures! With a foreword by Jane, the book explores and ‘what lives in my local area’ ......
100 Classic Summit Routes to Washington's Cascade and Olympic Mountains
This select guide includes detailed, easy to follow directions to climbing 100 of Washington's most visible, historically significant, and interesting mountains with summits over 5,000 feet. From introductory level off-trail summit hikes and scrambles to multi-pitch alpine rock and high volcano climbs, this guide is suitable for beginning ......
Historical geography is an active, theoretically-informed and vibrant field of scholarly work within modern geography, with strong and constantly evolving connections with disciplines across the humanities and social sciences. Across two volumes, The SAGE Handbook of Historical Geography provides you with an an international and cross-disciplinary overview of the field, presenting chapters that examine the history, present condition and future potential of the discipline in relation to recent developments and research.
This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also: * Equips you with the tools to both interpret and apply spatial statistical methods * Engages with the unique considerations that apply when working with geographic data * Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.
This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also: * Equips you with the tools to both interpret and apply spatial statistical methods * Engages with the unique considerations that apply when working with geographic data * Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.
Authoritative yet accessible, the definitive undergraduate text on Russian geography and culture has now been thoroughly revised with the latest data and hot topics, such as the political crisis in Ukraine and the annexation of Crimea and Sevastopol. Thematic chapters provide up-to-date coverage of Russia's physical, political, cultural, and ......
We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges. Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a 'learning by doing' textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.
