Land Use Regression mode (LUR), were used to simulate PM10 concentrations at very high resolution (100m) built using pollutant concentrations for 2010 from monitoring sites as dependent variable, and several parameters (independent variables) defined within a Geographic Information System (GIS). The LUR model was developed using Random Forest regression techniques (Breiman, 2001) and was used to predict evolution of concentrations of pollutants from 2010 to 2050, according to predicted changes in land use and population density data taken from the LUISA outputs (Baranzelli et al, 2015). The modelling did not consider for the prediction of future concentrations specific measures or policies implemented in order to reduce emissions.
Build on reliable and scalable technology
FAQ
Frequently Asked Questions
Some basic informations about API Store ®.
Operation and development of APIs are currently fully funded by company Apitalks and its usage is for free.
Yes, you can.
All important information such as time of last update, license and other information are in response of each API call.
In case of major update that would not be compatible with previous version of API, we keep for 30 days both versions so you will have enough time to transfer to new version. We will inform you about the changes in advance by e-mail.