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Andrea Baggio

Staff picture: Andrea Baggio
Information and Computational Sciences
Information and Computational Sciences
Research Assistant GIS/Spatial Analyst
andrea.baggio@hutton.ac.uk
+44 (0)344 928 5428 (*)

The James Hutton Institute
Craigiebuckler
Aberdeen AB15 8QH
Scotland UK

 

Andrea is a GIS / Spatial Analyst within the Information and Computational Sciences Group in Aberdeen.

He has been employed at the James Hutton Institute since 2012 and been involved in a wide range of national and local research projects for the Scottish Government such as RESAS (Scottish Strategic Research programme), LUSP (Aberdeenshire Strategy Pilot), NT-LSM (Land Sustainable Management), Potential development for Wind Farm (Perth & Kinross). He is using multi-criteria analysis and modelling to manipulate the land use data and analyse the impact of this change on the Ecosystem Services.

Andrea has a background in geology and hydrogeology. His research interests are in Ecosystem Service modelling and spatial planning. His work focuses on developing tools to investigate the implication of future land use change on the ES through the use of scenarios prediction. The use of these tools and how they can sustain the decision-making process at national and international policy level, as well as the multi-functional aspect of the landscape variability are also part of his interests.

Bibliography

  • Hewitt, R.J.; Bradley, N.; Baggio Compagnucci, A.; Barlagne, C.; Ceglarz, A.; Cremades, R.; McKeen, M.; Otto, I.M.; Slee, B. (2019) Social innovation in community energy in Europe: a review of the evidence., Frontiers in Energy Research: Energy Systems and Policy, 7, Article No. 31.
  • Gimona, A.; Baggio Compagnucci, A. (2019) Predicting the quality status of biological elements (Water Framework Directive) for surface water in Scotland using the output of InVEST models., Report for RESAS Objective 1.4.2cii, The James Hutton Institute, Aberdeen, 13pp.
  • Gimona, A.; Baggio Compagnucci, A.; Hewitt, R.; Castellazzi, M.; Poggio, L. (2018) Simulating the effect of linear features on nutrient and sediment export at the catchment scale., Report.
  • Gimona, A.; Poggio, L.; Baggio Compagnucci, A.; Castellazzi, M. (2018) Unsupervised habitat classification using Sentinel 1 and 2 data and legacy habitat data: a pilot project., Report to Scottish Government, 11pp.
  • Poggio, L.; Baggio Compagnucci, A.; Gimona, A. (2017) Remote sensing data to support the Natural Asset Register: a report on methodology., Internal Research Report, James Hutton Institute.
  • Verhagen, W.; Van Teeffelen, A.J.A.; Compagnucci, A.B.; Poggio, L.; Gimona, A.; Verburg, P.H. (2016) Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland., Landscape Ecology, 31, 1457-1479.
  • Akoumianaki, I.; Potts, J.; Baggio, A.; Gimona, A.; Spezia, L.; Sample, J.; Vinten, A.J.A.; MacDonald, J. (2016) Developing a method to monitor the rural diffuse pollution plan: Providing a framework for interpreting catchment data., CREW Report, CRW2014/13.
  • Gimona, A.; Baggio Compagnucci, A.; Donnelly, D.; Irvine, R.J. (2016) Aberdeenshire Regional Land Use Pilot: A web-based spatial tool to support land use decision making., In: Brooker, R., Hester, A. & Pakeman, R. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp16-17.
  • Gimona, A.; Baggio Compagnucci, A.; Poggio, L.; Castellazzi, M.; Brooker, R.; Pakeman, R.J. (2016) Modelling and mapping key ecosystem services., In: Brooker, R., Hester, A. & Pakeman, R.J. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp8-9.

  • Gimona, A.; Baggio Compagnucci, A.; Donnelly, D.; Irvine, R.J. (2016) Aberdeenshire Regional Land Use Pilot: A web-based spatial tool to support land use decision making., In: Brooker, R., Hester, A. & Pakeman, R. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp16-17.
  • Gimona, A.; Baggio Compagnucci, A.; Poggio, L.; Castellazzi, M.; Brooker, R.; Pakeman, R.J. (2016) Modelling and mapping key ecosystem services., In: Brooker, R., Hester, A. & Pakeman, R.J. (eds.). Ecosystem Services. The James Hutton Institute, Craigiebuckler, Aberdeen, pp8-9.

  • Gimona, A.; Baggio Compagnucci, A. (2019) Predicting the quality status of biological elements (Water Framework Directive) for surface water in Scotland using the output of InVEST models., Report for RESAS Objective 1.4.2cii, The James Hutton Institute, Aberdeen, 13pp.
  • Gimona, A.; Baggio Compagnucci, A.; Hewitt, R.; Castellazzi, M.; Poggio, L. (2018) Simulating the effect of linear features on nutrient and sediment export at the catchment scale., Report.
  • Gimona, A.; Poggio, L.; Baggio Compagnucci, A.; Castellazzi, M. (2018) Unsupervised habitat classification using Sentinel 1 and 2 data and legacy habitat data: a pilot project., Report to Scottish Government, 11pp.
  • Poggio, L.; Baggio Compagnucci, A.; Gimona, A. (2017) Remote sensing data to support the Natural Asset Register: a report on methodology., Internal Research Report, James Hutton Institute.
  • Akoumianaki, I.; Potts, J.; Baggio, A.; Gimona, A.; Spezia, L.; Sample, J.; Vinten, A.J.A.; MacDonald, J. (2016) Developing a method to monitor the rural diffuse pollution plan: Providing a framework for interpreting catchment data., CREW Report, CRW2014/13.

Printed from /staff/andrea-baggio on 18/07/19 04:32:52 PM

The James Hutton Research Institute is the result of the merger in April 2011 of MLURI and SCRI. This merger formed a new powerhouse for research into food, land use, and climate change.