“IoT FOR ENVIRONMENTAL VARIABLES IN URBAN AREAS”

Environmental Modelling in Urban Areas with GIS

More accurate spatio-temporal predictions of urban environment are needed as a basis for assessing exposures as a part of environmental studies, and to inform urban protection policy and management. This paper is focused on modelling in the GIS to estimate air, water and soil pollution in urban areas. The basic environmental components are complemented by bio-monitoring, waste management and no...

Mapping of Environmental Pollution in Urban Areas with Gis

Environmental pollution in urban areas has resulted in the design of monitoring and decision-making systems. These systems are supported by the information systems that can manage spatial dynamics of pollution processes. Due to a wide range of data, which are necessary for modeling of spatio-temporal phenomena, new methods of data collection and management have to be created. This paper describ...

Metropolitan Intelligent Surveillance Systems for Urban Areas by Harnessing IoT and Edge Computing Paradigms

Funding information Recent technological advances led to the rapid and uncontrolled proliferation of Intelligent Surveillance Systems (ISS), serving to supervise urban areas. Driven by pressing public safety and security requirements, modern cities are transformed into tangled cyber-physical environments, consisting of numerous heterogeneous ISS under different administrative domains with low o...

Modeling Housing Demand for New Residential Buildings in Urban Areas

T his study investigates the factors affecting the demand for new residential buildings in urban areas of Iran during 1976-2010. The demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the Bounds testing of the Autoregressive Distributed Lag Co-integration procedure. The t...

GIS Approach for Collaborative Monitoring and Prediction of Environmental Noise in Urban areas