Spatial Data Tech Group
Data is useless if can’t be transformed into information and ultimately an effective decision. The principal outcomes of Theme 3 are to facilitate this by providing processes and services that enhance the quality of information and decision that is being made from the sensor data. The key activities for the theme team members are to a) ensure that the data is correctly processed in a manner that can be utilized within a spatial decision support system (SDSS), b) develop a SDSS that is able respond to the individuality inherent in each production systems and, c) effectively communicate information and decisions to the end-users via web-based technologies. The work will be carried out in collaboration with the other themes and primarily be done by the PhD candidates.
Sr. Lecturer in GIS
- The internet of things – specifically geosensors and embedded sensors and their incorporation into the geo-information stream
- Next generation analytics – the application of real-time data and spatial data to facilitate near real-time processing, modelling, simulation and prediction
- Spatial data management in traditional relational systems and NoSQL type structures
Philip works closely with Civil Engineers in Transport and Water Resources on a range of Earth Systems Engineering Problems focusing on the development of software and systems using spatial data.
In addition Philip heads up the Geoinformatics Group as part of the Digital Research Institute and represents the School on the University IT Experts Group. He is interested in all aspects of geospatial data management, processing and deployment, as well as in developing systems and software with a spatial component to support decision making across a wide range of applications. It is this experience and expertise that makes Philip an as set to the Spatial Data Technology Group.
Claudio Piccinini is a GIS professional and currently Ph.D. candidate at Newcastle University (UK).
After his studies in natural sciences and biodiversity conservation he worked in Italy for several years as a GIS analyst producing and analysing maps for many environmental projects. In 2012 he was the lead developer on “The Physical Landscape of Britain and Northern Ireland” project which involved database design and web application development (Kingston University, University of Liverpool, British society for Geomorphology). Before joining Newcastle University he was a lecturer at Geo-information Processing department (GIP-ITC, University of Twente, Netherlands) teaching Python programming applied to geosciences, cartography, geovisualization, web mapping development, GIS servers, and analysis of spatio-temporal datasets.
On this project Claudio will define correct protocols using geo-statistical methods to convert the raw agricultural spatial data into correct information layers. He will apply the latest web and mobile technologies to encode these protocols into web-based tools that will allow any end user to upload data and have properly transformed spatial information returned. Also, methodologies to combine fruit yield and vine size information layers into crop-load maps will be developed and encoded into the web-platform as an extension. Error propagation analysis and estimates of uncertainty to assist in risk assessment will be included in this crop load methodology.