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American Geography and Geographers
The rise of American geography as a distinctive science in the United States straddles the 19th and 20th centuries, extending from the post-Civil war period to 1970. American Geography and Geographers: Toward Geographic Science is the first book to thoroughly and richly explicate this history. Its author, Geoffrey J. Martin, the foremost historian on the subject and official archivist of the Association of American Geographers, amassed a wealth of primary sources from archives worldwide, which enable him to chart the evolution of American geography with unprecedented detail and context. From the initial influence of the German school to the emergence of Geography as a unique discipline in Am...
All Possible Worlds
'All Possible Worlds' provides a history of geographical thought, covering both classical & modern periods.
Another Mouthful of Dust
This book contains twenty-nine articles presented to Geoffrey Martin by his friends and colleagues in celebration of the long and distinguished career of this eminent Egyptologist. The main areas of Professor Martin's scholarly interests are well represented with a wide range of studies on Early Dynastic Egypt and on the history and chronology, art and archaeology of the New Kingdom, often related to his excavations at Saqqara, Amarna, and in the Valley of the Kings. Other essays deal with Old Kingdom mastabas at Giza, Saqqara and Abusir and with the history of Egyptology and early excavators in Egypt. To reflect the recipient's broad Egyptological interests there are also studies on fragments of a shrine of Mentuhotep II from Gebelein and its geographical implications, a Middle Kingdom wooden statue from Asyut, a Twenty-second Dynasty mummy-cartonnage in the Gayer-Anderson Museum, and Thirtieth Dynasty reliefs from the Theban Precinct of Mut. A full bibliography of Geoffrey Martin's publications is also included.
Geographers
An annual collection of studies on major contributors to the development of geography and gepgraphical thought, Patrick H. Armstrong is Adjunct Associate Professor, Edith Cowan University, Western Australia. Geoffrey Martin is Distinguished Professor Emeritus (Geography)at Southern Connecticut State University in New Haven, and Archivist of the Association of American Geographers.
Geographical Thought
Geographical Thought provides a clear and accessible introduction to the key ideas and figures in human geography. The book provides an essential introduction to the theories that have shaped the study of societies and space. Opening with an exploration of the founding concepts of human geography in the nineteenth century academy, the authors examine the range of theoretical perspectives that have emerged within human geography over the last century from feminist and marxist scholarship, through to post-colonial and non-representational theories. Each chapter contains insightful lines of argument that encourage readers towards independent thinking and critical evaluation. Supporting materials include a glossary, visual images, further reading suggestions and dialogue boxes.
Navegator
Vasco Valseca is a scientific genius who has created Navegator, a unique software program that can pinpoint the exact geographical location of any internet activity - email, virus or hacking. But Valseca is unaware that his precious invention is the focus of furious international activity.
Unsupervised Learning
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
