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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Dezember 2020
Genre:	Naturwissensch., Medizin, Technik
	AggregateCulturalTolerance / BigSocioeconomicDataAnalysis / CarbonEmissioninChina / Cave-dwellingVillage / ChineseHistoryResearch / ClassicChineseLiterature / computationalsocialscience / Datenbanken / Datenmanagement / DigitalHumanities / EnergyEfficientHomeImprovementProgram / Geographische Informationssysteme (GIS) und Fernerkundung / GISGeographicalInformati / High-paidEnterprises / High-speedTransportationSystems / Interdisziplinäre Studien / IntergenerationalEducationMobility / spatialanalysis / SpatialDemography / SpoofinginGeography / UrbanInformatics / UrbanizationinChina / YangtzeRiverDelta / YellowRiver mehr...
ISBN:	9783030527334
EAN-Code:	9783030527334
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 31 mm
Gewicht:	869 gr
Seiten:	472
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals¿ economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.