Geospatial big data handling theory and methods: A review and research challenges

S Li, S Dragicevic, FA Castro, M Sester, S Winter… - ISPRS journal of …, 2016 - Elsevier
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …

Planning support systems for smart cities

C Pettit, A Bakelmun, SN Lieske, S Glackin… - City, culture and …, 2018 - Elsevier
In an era of smart cities, planning support systems (PSS) offer the potential to harness the
power of urban big data and support land-use and transport planning. PSS encapsulate …

The Propensity to Cycle Tool: An open source online system for sustainable transport planning

R Lovelace, A Goodman, R Aldred, N Berkoff… - Journal of transport and …, 2017 - JSTOR
Getting people cycling is an increasingly common objective in transport planning institutions
worldwide. A growing evidence base indicates that high quality infrastructure can boost local …

Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka

AN Toosi, RO Sinnott, R Buyya - Future Generation Computer Systems, 2018 - Elsevier
Cloud computing has emerged as a mainstream paradigm for hosting various types of
applications by supporting easy-to-use computing services. Among the many different forms …

[PDF][PDF] Geospatial information visualization and extended reality displays

A Çöltekin, AL Griffin, A Slingsby… - Manual of digital …, 2020 - library.oapen.org
In this chapter, we review and summarize the current state of the art in geovisualization and
extended reality (ie, virtual, augmented and mixed reality), covering a wide range of …

Breaking down the silos through geodesign–Envisioning Sydney's urban future

CJ Pettit, S Hawken, C Ticzon… - … and Planning B …, 2019 - journals.sagepub.com
One of the challenges in creating plans for sustainable urban futures is the ability to work
across government agencies and to break down traditional barriers to truly collaborative …

Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice

K Clark, M Duckham, M Guillemin, A Hunter… - Ethics and Information …, 2019 - Springer
The proliferation of digital data and internet-based research technologies is transforming the
research landscape, and researchers and research ethics communities are struggling to …

Prediction of air pollution through machine learning approaches on the cloud

RO Sinnott, Z Guan - … /ACM 5th International Conference on Big …, 2018 - ieeexplore.ieee.org
Prediction of pollution is an increasingly important problem. It can impact individuals and
their health, eg asthma patients can be greatly affected by air pollution. Traditional air …

An ontology-based spatial data harmonisation for urban analytics

Y Chen, S Sabri, A Rajabifard… - … , Environment and Urban …, 2018 - Elsevier
Data heterogeneity is one of the most challenging problems in urban data analytics. When
obtained from various providers or custodians, datasets for the same domain themes may …

The online what if? Planning support system: A land suitability application in Western Australia

CJ Pettit, RE Klosterman, P Delaney… - Applied Spatial Analysis …, 2015 - Springer
Recent advances in cloud computing and the ability to more easily deliver online tools and
services provide exciting opportunities for the development and application of online …