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Geographic Information Sciences

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Geographic Information Science and Systems

Effective use of today?s powerful GIS technology requiresan understanding of the science of problem-solving that underpinsit. Since the first edition published over a decade ago, this bookhas led the way, with its focus on the scientific principles thatsupport GIS usage. It has also provided thorough, upto- datecoverage of GIS procedures, techniques and public policyapplications. This unique combination of science, technology andpractical problem solving has made this book a best-seller across abroad spectrum of disciplines. This fully updated 4th editioncontinues to deliver on these strengths.

The Da Vinci globe

A chance discovery at a distinguished London map fair in 2012 by a Belgian globe collector produced the most unique of finds: a distinct globe with mysterious images, such as old ships, sailors, a volcano, a hybrid monster, pentimenti, waving patterns, conic individualised mountains, curving rivers, vigorous coastal lines, chiaroscuro and an unresolved triangular anagram, which remains an enigma.
The globe is hand-engraved in great detail on ostrich egg shells from Pavia by a left-handed Renaissance genius of unquestionable quality. It shows secret knowledge of the map world from the time of Columbus, Cabral, Amerigo Vespucci and Leonardo da Vinci. Central and North America are covered by a vast ocean. The da Vinci globe originates from Florence and dates from 1504. It marks the first time ever that the names of countries such as Brazil, Germania, Arabia and Judea have appeared on a globe.
A Leonardo drawing for this globe, showing the coast of the New World and Africa has been discovered in the British Library.
This book brings the reader through a fabulous journey of scholars, maps, riddles, rebuses, iconographic symbols and enigmatic phrases such as HIC SVNT DRACONES to illuminate the da Vinci globe. It details 500 years of mystery, fine scholarship and expert forensic testing at numerous material science laboratories the world over.
The da Vinci globe now takes its rightful place, surpassing the Lenox globe, its copper-cast identical twin, as the most mysterious globe of our time. As such, this monograph is an essential text in Leonardo studies and in the history of cartography.

GIS Tutorial for ArcGIS Pro 2. 8

Learn the latest ArcGIS® Pro tools and workflows with this popular book! Updated for the latest version of ArcGIS Pro, GIS Tutorial for ArcGIS Pro 2.8 is the book of choice for classrooms and self-learners seeking to begin or grow their expertise using Esri's premier desktop geographic information system (GIS) technology. This fourth edition features newly revised geocoding workflows. Students will find simplified steps and figures that match the 2.8 interface. When finished, readers will have learned how to make maps; find, create and analyze data; and manage operational systems while using ArcGIS Pro, ArcGIS Online, ArcGIS StoryMapsâ„ , ArcGIS Dashboards, ArcGIS Collector, and more. Free downloadable video lectures and lecture slides boost learning outcomes. Additional instructor resources augment instruction. Since 2005, Carnegie Mellon educators Kristen Kurland and Wil Gorr have been sharing what works in their own teaching experiences. Their other titles include, GIS Tutorial for Crime Analysis, GIS Tutorial for Health, and GIS Jumpstart for Health Professionals.

Geographical Data Science and Spatial Data Analysis

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.