Using geodata and geolocation in the social sciences : mapping our connected world / David AbernathyMaterial type: Book; Format: print Publisher: Los Angeles [etc.] : SAGE, 2017Edition: 1st ed.Description: XIV, 327 p. : illustrations en couleur, cartes en couleur ; 25 cm.ISBN: 978-1-4739-0818-5 (pbk.).Subject(s): Géographie -- Méthodes statistiques -- Informatique | Ciencias sociales -- Sistemas de información geográfica | Cartografia digital | Ciencias sociales -- Metodología
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Introduction: The Power of WhereA Brief History of the Geoweb"Big Geodata": Managing Spatial Data in a Connected AgeCitizen Cartographers: Neogeography, VGI and the Democratization of Data ProductionChallenges of the Geoweb: Data Accuracy, Privacy, and SurveillanceIntroduction to Geodata: Types of Geodata; [see p. 9] How do we Identify and Gather Location-Based Data?Capturing Absolute Location with the Global Positioning SystemGeocoding, Geotagging & GeoparsingSocial Media Geodata: Capturing Location-Based Twitter DataMapping the Emerging Internet of ThingsVisualizing Data in Geographic Information Systems with QGISWorking with Geodata in GRASSWorking with Geodata in RWeb MappingEpilogue: Weaving the Geoweb
"Abernathy provides a truly accessible and interdisciplinary introduction to geodata and geolocation covering both the conceptual and the practical. It is a must read for students or researchers looking to make the most of the spatial elements of their data" - Luke Sloan, Senior Lecturer in Quantitative Methods, Cardiff University. Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: capturing Geodata from sources including GPS, sensor networks and Twitter and visualizing Geodata using programmes including QGIS, GRASS and R. Featuring colour images, practical exercises walking you through using data sources, and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.