Fr. 236.00

Dynamics in GIscience

English · Hardback

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Description

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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.

List of contents

Comparison with the Reference Value on the Example of GIS-Based Applications.- Representing Buildings for Visibility Analyses in Urban Spaces.- Comparison of Fuzzy Ahp Algorithms for Land Suitability Assessment.- Configuration of Wireless Sensor Network in Olomouc.- Geo-Dynamic Decision Support System for Urban Traffic Management.- Probabilistic Map-Matching for Low-Frequency GPS Trajectories.- Applications of GIS in Analysis of Mars.- Dynamical Flash Flood Risk Forecast.- Interpolation Tecniques for Predicting the Movement of Cyclists.- New Approach to Import 3D Geodata for Remcom Wireless Insite.- Floreon+: A Web-Based Platform for Flood Prediction, Hydrologic Modelling and Dynamic Data Analysis.

Summary

Includes papers summarizing the latest research achievements in the area of geoinformatics Focuses on multidisciplinary papers analyzing spatiotemporal data Presents a combination of theoretical papers and applications Written by leading international experts 

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