Knowledge of spatial and temporal trends in the environmental exposure to radiofrequency electromagnetic fields (RF-EMF) is a key prerequisite for RF-EMF risk assessment studies attempting to establish a link between RF-EMF and potential effects on human health as well as on fauna and flora. In this paper, we determined the validity of RF exposure modelling based on inner-area kriging interpolation of measurements on the surrounding streets. The results vary depending on area size and shape and structural factors; a Spearman coefficient of 0.8 and a relative error of less than 3.5 dB are achieved on a data set featuring a closed measurement ring around a decently sized area (1 km2, with an average minimum distance of the encircled area to t...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
INTRODUCTION: Geospatial models have been demonstrated to reliably and efficiently estimate RF-EMF e...
Human exposure to background radiofrequency electromagnetic fields (RF-EMF) has been in-creasing wit...
One of the key challenges in environmental epidemiology is the exposure assessment of large populati...
We present a geospatial model to predict the radiofrequency electromagnetic field from fixed site tr...
Radio frequency electromagnetic fields (RF-EMF) from mobile phone base stations can be reliably mode...
Background: Spatial and temporal distribution of radiofrequency electromagnetic field (RF-EMF) level...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Radio frequency electromagnetic fields (RF-EMF) in our daily life are caused by numerous sources suc...
The aim of this study was to quantify RF-EMF exposure applying a tested protocol of RF-EMF exposure ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
INTRODUCTION: Geospatial models have been demonstrated to reliably and efficiently estimate RF-EMF e...
Human exposure to background radiofrequency electromagnetic fields (RF-EMF) has been in-creasing wit...
One of the key challenges in environmental epidemiology is the exposure assessment of large populati...
We present a geospatial model to predict the radiofrequency electromagnetic field from fixed site tr...
Radio frequency electromagnetic fields (RF-EMF) from mobile phone base stations can be reliably mode...
Background: Spatial and temporal distribution of radiofrequency electromagnetic field (RF-EMF) level...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Radio frequency electromagnetic fields (RF-EMF) in our daily life are caused by numerous sources suc...
The aim of this study was to quantify RF-EMF exposure applying a tested protocol of RF-EMF exposure ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
Background: With the increased availability of spatial data and computing power, spatial prediction ...
INTRODUCTION: Geospatial models have been demonstrated to reliably and efficiently estimate RF-EMF e...