Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2017
Genre:	Naturwissensch., Medizin, Technik
	Big Data / Big Data/Analytics / biotechnology / Business mathematics & systems / C / Computer modelling & simulation / computer science / Computer simulation / Earth and Environmental Science / Emigration and immigration / Environment / Environment Studies / Environmental Sciences / Geographical Information System / Geographical information systems / Geographical Information Systems/Cartography / Human Geography / IT in Business / Migration / Migration, immigration & emigration / Simulation and Modeling / Society & social sciences / The environment mehr...
ISBN:	9783319612966
EAN-Code:	9783319612966
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	Lecture Notes in Geoinformation and Cartography
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	7804 gr
Seiten:	424
Illustration:	XIII, 424 p. 173 illus., 121 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is intended for researchers, practitioners and students who are interested in the current trends and want to make their GI applications and research dynamic. Time is the key element of contemporary GIS: mobile and wearable electronics, sensor networks, UAVs and other mobile snoopers, the IoT and many other resources produce a massive amount of data every minute, which is naturally located in space as well as in time. Time series data is transformed into almost (from the human perspective) continuous data streams, which require changes to the concept of spatial data recording, storage and manipulation. This book collects the latest innovative research presented at the GIS Ostrava 2017 conference held in 2017 in Ostrava, Czech Republic, under the auspices of EuroSDR and EuroGEO. The accepted papers cover various aspects of dynamics in GIscience, including spatiotemporal data analysis and modelling; spatial mobility data and trajectories; real-time geodata and real-time applications; dynamics in land use, land cover and urban development; visualisation of dynamics; open spatiotemporal data; crowdsourcing for spatiotemporal data and big spatiotemporal data.