Citation

Arsanjani JJ. Int. J. Environ. Res. Public Health 2017; 14(4): e14040405.

Affiliation

Geoinformatics Research Group, Department of Planning, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark. jja@plan.aau.dk.

Copyright

(Copyright © 2017, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph14040405

PMID

28398268

Abstract

Remote sensing, as well as the recent advancements of crowd sensing, along with novel and recent geospatial technologies, have great potential to explore and understand the relationships between our surroundings—in particular our urban and rural environments and natural spaces—and public health through environmental factors [1,2]. Emerging phenomena including climate change, extreme weather conditions, dynamic and mega cities, air pollution, and dust storms, among others, have significant impacts on human and environmental health [3]. On the one hand, the rising volume of Earth observatories and citizen observatories has provided research scholars with a tremendous amount of data streams in space and time, which are novel, unique, and even freely available; therefore, new research agendas are to be designed to exploit the power of these data [4,5]. On the other hand, recent geospatial technologies, such as novel geocomputational techniques, clustering algorithms, visual analytics, data/information mining approaches, Web 2.0, and collaborative sensing techniques, among others, have presented a wide variety of techniques for exploring these data and discovering latent information about public health [6]...

Language: en