Download or read book Political Violence and Terror written by Peter H. Merkl and published by Univ of California Press. This book was released on 2023-04-28 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1986.

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Download or read book Elections in Pennsylvania written by Jack M. Treadway and published by Penn State Press. This book was released on 2015-10-20 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most comprehensive state election study ever undertaken, Elections in Pennsylvania provides data and analysis for more than 13,000 general elections and more than 6,000 primary elections held in the state between 1900 and 1998, with a postscript examining in less detail the elections of 2000 and 2002. Included are all elections for president, governor, U.S. senators and representatives, statewide offices, and members of the General Assembly. The extensive period of time covered allows the author to provide an important historical perspective on electoral trends, distinguishing what are genuinely new developments in electoral dynamics and voting behavior in recent decades from what are continuations of patterns earlier in the century.

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Download or read book State and Local Government Special Studies written by and published by . This book was released on 1980 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Geographic Data Science with Python written by Sergio Rey and published by CRC Press. This book was released on 2023-06-14 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data. Key Features: ● Showcases the excellent data science environment in Python. ● Provides examples for readers to replicate, adapt, extend, and improve. ● Covers the crucial knowledge needed by geographic data scientists. It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts. Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.