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Andrea Baggio

Staff picture: Andrea Baggio
Information and Computational Sciences
Information and Computational Sciences
Honorary Associate
+44 (0)344 928 5428 (*)

The James Hutton Institute
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.


  • 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.

  • Castellazzi, M.; Baggio, A.; Gimona, A. (2021) Climate-friendly (inspired by NetZero) land use scenario for multi-benefits: assessing broadleaves connectivity with the Lemmings tool., Part of RESAS O1.4.2ciiD29: Connectivity Analysis for Forests and Heather Habitats. (PowerPoint Summary).
  • 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.
  • Hewitt, R. J.; Castellazzi, M.; Baggio Compagnucci, A.; Gimona, A. (2019) Development of a land use model for scenarios of future land use and ecosystem services in Scotland: First interim report., Technical Report.
  • Gimona, A.; Baggio Compagnucci, A.; Castellazzi, M.; Hewitt, R. J. (2019) Modelling scenarios of land use change and assessing their consequences: the case of forest expansion., Interim technical report.
  • Aitkenhead, M.; Waylen, K.A.; Compagnucci, A.; Rivington, M.; Gimona, A. (2019) Extreme climate change scenarios for Scotland: Workshop report., Report for SEFARI Gateway, 20pp.
  • Hewitt, R.J.; Macleod, C.J.A.; Baggio Compagnucci, A.; Castellazzi, M.; Miller, D.G.; Gimona, A. (2018) Maps of land use data and ecosystem services for catchment level case studies in Scotland: examples applied to the National Parks and Aberdeenshire River Dee., Report to RESAS, 1.4.3 Objective D Deliverable D3.
  • 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, 49pp.

  • Wilkinson, M.E.; Baggio, A.; Quinn, P.F.; Bourke, M.; Stutter, M.I. (2019) A margin of error? Assessing effectiveness and placement of grassed and raisedfield margins to enhance multiple benefits., Catchment Science Conference, Clayton Whites Hotel, Wexford, Ireland, 5-7 November 2019.
  • Aalders, I.H.; Gimona, A.; Baggio Compagnucci, A.; Atrtell, J.; Wolff, A.; Vlahos, G.; Balalzs, K. (2015) How to evaluate the impact of RDPs on water and soil quality - methodological challenges in multi-scale and multilevel context with data gaps., Association of American Geographers, AAG Annual Meeting, Chicago, Illinois, 21-25 April 2015.

Printed from /staff/andrea-baggio on 17/04/24 03:58:02 AM

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.