Dynamics in GIscience

Dynamics in GIscience

Author: Igor Ivan

Publisher: Springer

Published: 2017-08-23

Total Pages: 420

ISBN-13: 3319612972

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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.


Advances in Data-driven Computing and Intelligent Systems

Advances in Data-driven Computing and Intelligent Systems

Author: Swagatam Das

Publisher: Springer Nature

Published: 2023-06-21

Total Pages: 892

ISBN-13: 9819909813

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The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.


WRRSP

WRRSP

Author: Khaled Ksaibati

Publisher:

Published: 2009

Total Pages: 266

ISBN-13:

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SAFETEA-LU contains language indicating that state department of transportation (DOTs) will be required to address safety on local and rural roads. It is important for state, county, and city officials to cooperate in producing a comprehensive safety plan to improve their statewide safety. This legislation provides an opportunity to implement a more cohesive and comprehensive approach to local road safety in Wyoming. The Wyoming Local Technical Assistant Program (LTAP) coordinated an effort in cooperation with the Wyoming Department of Transportation (WYDOT) as well as Wyoming counties and cities to identify low cost safety improvements on righ risk rural roads in Wyoming. In this project, safety techniques and methodologies were developed to identify and then rank high risk locations on rural roadways in Wyoming. What makes this project unique is the high percentage of gravel roads at the local level in Wyoming. The evaluation procedure developed is based on historical crash records and field evaluations. The main objective of this research was to develop and evaluate transportation safety techniques that can help Wyoming agencies in reducing crashes and fatalities on rural roads statewide. Three Wyoming counties were included in the pilot study. The statewide implementation began in 2009. This report describes the findings and recommendations of this research study, which would be very beneficial not only in Wyoming but also to those states interested in implementing a High Risk Rural Road (HRRR) Program.


Emerging Technologies in Data Mining and Information Security

Emerging Technologies in Data Mining and Information Security

Author: Ajith Abraham

Publisher: Springer

Published: 2018-09-01

Total Pages: 864

ISBN-13: 9811314985

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The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.