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SUMMARY:GIS-ANN scenario building model of alternative futures. A contribu
 tion for a spatial decision support system - Dr Paulo Morgado Sousa\, Univ
 ersity of Lisbon
DTSTART:20181010T150000Z
DTEND:20181010T160000Z
UID:TALK111523@talks.cam.ac.uk
CONTACT:Ingrid Cizaite
DESCRIPTION:Cities in general and more particular urban coastal areas are 
 nowadays\, a conflict prone-habitat of competing visions and contrasting i
 nterests. Local governments and citizens of such areas are permanently tem
 pted to break under the pressure of different stakeholders. More and bette
 r information are the key to a sustainable and successful decision making.
  Geospatial technologies\, geocomputation and geographical modelling advan
 ces and widespread brought power for those who must govern\, decide and li
 ve on those areas. The empowerment of people passes by given them access t
 o information and knowledge. The knowledge of knowing what’s going on an
 d more important a glimpse of how future (a part of it\, at least) could b
 e based on competing visions\, so people can compare them and be in advant
 age to negotiate trade-offs. The underlying rationale of this communicatio
 n is to show and demonstrate\, based on real case study of a Portuguese fr
 agile ecosystem coastal urban area (Trafaria at Lisbon metropolitan area)\
 , the potentialities of Geographic Information Systems (GIS) and Artificia
 l Neural Networks (ANN) as powerful support tools for decision-makers and 
 citizens has the provide answers for assuring a balanced management of the
  coastal area on the one hand and to solve existent land cover conflicts a
 nd avoid future discord\, on the other. Our GIS-ANN model it allows people
  to identify the driving forces of changes and their relative importance a
 s well it can spatialize/mapping alternative futures of a multitude of sce
 narios so we can understand how they are distributed\, clustered or spread
  over territory.\n\n \n\nPaulo Morgado is a Geographer and GIScientist. He
  holds a PhD in Geocomputation applied to Regional and Urban Planning. He 
 is currently an Assistant Professor at the University of Lisbon where he l
 ectures and coordinates the subjects of: Geographical Modeling\, GIS Proje
 ct\, Geographic Modeling and Complex Urban Systems. Paulo is also coordina
 tor of the GeoModLab (Laboratory of Remote Sensing\, analysis and geograph
 ical modeling)\, a member of the Scientific Committee of Institute of Geog
 raphy and Spatial Planning of the University of Lisbon\, and reviewer for 
 several international journals. He’s also coordinated the Geographical m
 odelling tasks of several scientific projects\, both national and internat
 ional\, and he’s provided advisory services to public and private compan
 ies\, on spatial data analysis and data management. His research areas are
  centered to Theoretical and Quantitative Geography\, e.g GISc\, Geocomput
 ation\, Complex Networks and Graph Theory\, Artificial Neural Networks\, C
 ellular Automata and Multi-Agent Systems. More recently\, he’s focused o
 n Smart Cities\, Smart Grown and Sustainable Cities. You can follow Paulo
 ’s work here: Http://orcid.org/0000-0002-3220-4943.
LOCATION:Mill Lane Lecture Room 4
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