Thinking Big Data in Geography

This book PDF is perfect for those who love Science genre, written by Jim Thatcher and published by U of Nebraska Press which was released on 27 May 2024 with total hardcover pages 318. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Thinking Big Data in Geography books below.

Thinking Big Data in Geography
Author : Jim Thatcher
File Size : 41,8 Mb
Publisher : U of Nebraska Press
Language : English
Release Date : 27 May 2024
ISBN : 9781496205353
Pages : 318 pages
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Thinking Big Data in Geography by Jim Thatcher Book PDF Summary

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography's major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.

Thinking Big Data in Geography

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets

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Thinking Big Data in Geography

Intro -- Title Page -- Copyright Page -- Contents -- List of Illustrations -- List of Tables -- Introduction -- Part 1 -- 1. Toward Critical Data Studies -- 2. Big Data ... Why (Oh Why?) This Computational Social Science? -- Part 2 -- 3. Smaller and Slower Data in an Era of Big Data -- 4.

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