Advertisement

A Short Presentation of Dinamica EGO

  • H. RodriguesEmail author
  • B. Soares-Filho
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Dinamica EGO is a flexible software that allows the construction of many different types of environmental simulation models, including complex spatial dynamic ones. By using an intuitive, friendly and yet very powerful graphical interface, modelers can freely employ a combination of map algebra, cellular automata techniques, and table data manipulation to represent complex socio-economic and environmental systems, not being limited to the use of only predefined models.

Keywords

Environmental simulation Land use and change 

References

  1. Almeida C, Monteiro M, Camara G, Soares-Filho BS, Cerqueira G, Pennachin CL (2005) GIS and remote sensing as tools for the simulation of Urban land use change. Int J Remote Sens 26:759–774Google Scholar
  2. Almeida C, Gleriani JM, Castejon EF, Soares-Filho BS (2008) Using neural networks and cellular automata for modeling intra-urban land-use dynamics. Int J Geogr Inf Sci 22:943–963Google Scholar
  3. Bonham-Carter G (1994) Geographic information systems for geoscientists: modelling with GIS. Pergamon, Oxford, UKGoogle Scholar
  4. Bowman MS, Soares-Filho BS, Merry FD, Nepstad DC, Rodrigues HO, Almeida OT (2012) Persistence of cattle ranching in the Brazilian Amazon: a spatial analysis of the rationale for beef production. Land Use Policy 29:558–568Google Scholar
  5. Godoy MMG, Soares-Filho BS (2008) Modelling intra-urban dynamics in the Savassineigh-bourhood, Belo Horizonte city, Brazil. In: Paegelow M, Camacho Olmedo MT (eds) Modelling environmental dynamics. Springer, Berlin, pp 319–338Google Scholar
  6. Gouvello C, Soares-Filho BS, Nassar A, Schaeffer R, Jorge F, Nogueira W (2010) Brazil Low-carbon country case study. World Bank ReportGoogle Scholar
  7. Lapola DM, Schaldach R, Alcamo J, Bondeau A, Msangi S, Priess JA, Silvestrini R, Soares BS (2011) Impacts of climate change and the end of deforestation on land use in the Braziolian Legal Amazon. Earth Interact 15Google Scholar
  8. Maeda EE, Clark BJF, Pellikka P, Siljander M (2010) Modelling agricultural expansion in Kenya’s Eastern Arc Mountains biodiversity hotspot. Agric Syst 103:609–620Google Scholar
  9. Merry F, Soares-Filho BS, Nepstad D, Aamacher G, Rodrigues H (2009) Balancing conservation and economic sustainability: The Future of the Amazon Timber Industry. Environ Manage 44:395–407Google Scholar
  10. Nepstad D, Soares-Filho BS, Merry F, Lima A, Moutinho P, Carter J, Bowman M, Cattaneo A, Rodrigues H, Schwartzman S, Mcgrath D, Stickler C, Lubowski PP, Rivero S, Alencar A, Almeida O, Stella O (2009) The end of deforestation in the Brazilian Amazon. Science 326:1350–1351Google Scholar
  11. Silvestrini RA, Soares-Filho BS, Nepstad D, Coe M, Rodrigues HO, Assunção R (2011) Simulating fire regimes in the Amazon in response to climate change and deforestation. Ecol Appl 21:1573–1590Google Scholar
  12. Soares B, Rodrigues H, Follador M (2013) A hybrid analytical-heuristic method for calibrating land-use change models. Environ Model Softw 43:80–87Google Scholar
  13. Soares-Filho BS, Assunção RM, Pantuzo A (2001) Modeling the spatial transition probabilities of landscape changes in an Amazonian Colonization frontier. Bioscience 51:1039–1046Google Scholar
  14. Soares-Filho BS, Coutinho Cerqueira G, Lopes Pennachin C (2002) Dinamica–a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecol Model 154:217–235Google Scholar
  15. Soares-Filho BS, Alencar A, Nepstad D, Cerqueira G, Vera Diaz M, Rivero S, Solorzano L, Voll E (2004) Simulating the response of land-cover changes to road paving and governance along a major Amazon highway: the Santarém-Cuiabá corridor. Glob Chang Biol 10:745–764Google Scholar
  16. Soares-Filho BS, Nepstad D, Curran L, Voll E, Cerqueira G, Garcia RA, Ramos CA, Mcdonald A, Lefebvre P, Schlesdinger P (2006) Modeling conservation in the Amazon basin. Nature 440:520–523Google Scholar
  17. Soares-Filho BS, Rodrigues H, Costa WLS (2009) Modeling environmental dynamics with Dinamica EGO. www.csr.ufmg.br/dinamica
  18. Soares-Filho BS, Moutinho P, Nepstad D, Anderson A, Rodrigues H, Garcia R, Dietschi L, Merry F, Bowman M, Hissa L, Silvestrini R, Maretti C (2010) Role of Brazilian Amazon protected areas in climate change mitigation. Proc Natl Acad Sci 107:10821–10826Google Scholar
  19. Stickler C, Nepstad D, Coe M, Macgrrath D, Rodrigues H, Dabidson E, Soares-Filho B (2009) The potential ecological costs and co-benefits of REDD: a critical review and case study from the Amazon region. Glob Chang Biol 15:2803–2824Google Scholar
  20. Teixeira AM, Soares-Filho BS, Freitas S, Metzger JPW (2009) Modeling landscape dynamics in the Atlantic rainforest domain: implications for conservation. For Ecol Manage 257:1219–1230Google Scholar
  21. Walker WS, Stickler CM, Dellndorfer JM, Kirsch KM, Nepstad DC (2010) Large-area classification and mapping of forest and land cover in the Brazilian Amazon: a comparative analysis of ALOS/PALSAR and landsat data sources, vol. 3. Woods Hole Research Center, pp 594–604Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Centro de Sensoriamento RemotoUniversidade Federal de Minas Gerais (UFMG)Belo HorizonteBrazil

Personalised recommendations