Creating a GWT web application for the SOS standard enhanced profile

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Sensor Networks have become very popular in recent years. With the proliferation of the use of these networks for very different purposes, it has appeared also the necessity of developing one standard to unify all these types of networks and make them interoperable. This standard is Sensor Observation Service (SOS) and was developed by the Open Geospatial Consortium (OGC) in 2007 as part of the Sensor Web Enablement (SWE) activities. The access to the information provided by sensor networks can be done using PC, laptops on mobile devices such as mobile phones, and that’s why in this project, it has been developed a thin client in Google Web Toolkit (GWT), which follows the SOS standard to access to all information contained in the server without overloading the device

ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning

Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.This research was funded by European Commission, grant number 691883

ENER-BI: Integrating Energy and Spatial Data for Cities’ Decarbonisation Planning

Given the current climate emergency, our planet is suffering. Mitigation measures must be urgently deployed in urban environments, which are responsible for more than 70% of global CO2 emissions. In this sense, a deeper integration between energy and urban planning disciplines is a key factor for effective decarbonisation in urban environments. This is addressed in the Cities4ZERO decarbonisation methodology. This method specifically points out the need for technology-based solutions able to support that integration among both disciplines at a local level, enriching decision-making in urban decarbonisation policy-making, diagnosis, planning, and follow-up tasks, incorporating the spatial dimension to the whole process (GIS-based), as well as the possibilities of the digital era. Accordingly, this paper explores the demands of both integrated urban energy planning and European/Basque energy directives, to set the main requisites and functionalities that Decision Support Systems (DSSs) must fulfil to effectively support city managers and the urban decarbonisation process.This research was funded by European Commission, grant number 691883