@InCollection{XimenesAlmAmaEscAgu:2011:SpDyMo,
               author = "Ximenes, Arimat{\'e}a de Carvalho and Almeida, Cl{\'a}udia Maria 
                         de and Amaral, Silvana and Escada, Maria Isabel Sobral and Aguiar, 
                         Ana Paula Dutra de",
                title = "Spatial Dynamic Modeling of Deforestation in the Amazon",
            booktitle = "Cellular Automata - Simplicity Behind Complexity",
            publisher = "InTech",
                 year = "2011",
               editor = "Salcido, Alejandro",
                pages = "xx",
              address = "Vienna",
             keywords = "Behind Complexity.",
             abstract = "New GIS technologies have been employed to support public policies 
                         and actions towards environmental conservation, aiming to preserve 
                         biodiversity and mitigate the undesirable side-effects of human 
                         activities. The spatio-temporal simulation of systems dynamics is 
                         an example of such new technologies and helps scientists and 
                         decision-makers to understand the driving forces lying behind 
                         processes of change in environmental systems. In assessing how 
                         systems evolve, it is possible to figure out different scenarios, 
                         given by diverse socioeconomical, political and environmental 
                         conditions (Soares-Filho et al., 2001), and hence, anticipate the 
                         occurrence of certain events, like land cover and land use change, 
                         including deforestation. According to Openshaw (2000), computer 
                         simulation models provide qualitative and quantitative information 
                         on complex natural phenomena. In this sense, spatial dynamic 
                         models may be defined as mathematical representations of 
                         real-world processes or phenomena, in which the state of a given 
                         place on the Earth surface changes in response to changes in its 
                         driving forces (Burrough, 1998). Spatial dynamic models are 
                         commonly founded on the paradigm of cellular automata (CA). 
                         Wolfram (1983) defines CA as [] mathematical idealisations of 
                         physical systems in which space and time are discrete, and 
                         physical quantities take on a finite set of discrete values. A 
                         cellular automaton consists of a regular uniform lattice (or 
                         array), usually infinite in extent, with a discrete variable at 
                         each site (cell). [] A cellular automaton evolves in discrete time 
                         steps, with the value of the variable at the site being affected 
                         by the values of variables at sites in its neighbourhood on the 
                         previous time step. The neighbourhood of a site is typically taken 
                         to be the site itself and all immediately adjacent sites. The 
                         variables at each site are updated simultaneously (synchronously), 
                         based on the values of the variables in their neighbourhood at the 
                         preceding time step, and according to a definite set of local 
                         rules. (Wolfram, 1983, p. 603). This work applies a CA model 
                         Dinamica EGO to simulate deforestation processes in a region 
                         called S{\~a}o F{\'e}lix do Xingu, located in east-central 
                         Amazon. EGO consists in an environment that embodies 
                         neighbourhood-based transition algorithms and spatial feedback 
                         approaches in a stochastic multi-step simulation framework. 
                         Biophysical variables drove the simulation model of the present 
                         work, and statistical validation tests were then conducted for the 
                         generated simulations (from 1997 to 2000), by means of multiple 
                         resolution fitting methods. This modelling experiment demonstrated 
                         the suitability of the adopted model to simulate processes of 
                         forest conversion, unravelling the relationships between site 
                         attributes and deforestation in the area under analysis.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                 isbn = "978-953-307-230-2",
                label = "lattes: 7327236294706424 1 XimenesAlmAmaEscAgu:2011:SpDyMo",
             language = "en",
           targetfile = "
                         
                         InTech-Spatial_dynamic_modelling_of_deforestation_in_the_amazon.pdf",
                  url = "http://www.intechopen.com/articles/show/title/spatial-dynamic-modelling-of-deforestation-in-the-amazon",
        urlaccessdate = "20 maio 2024"
}