@Article{FreitasSantAlve:2013:LiEnSo,
               author = "Freitas, Marcos Wellausen Dias de and Santos, Joao Roberto dos and 
                         Alves, Diogenes Salas",
          affiliation = "Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos, SP, 
                         Brazil. and Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos 
                         Campos, SP, Brazil. and Natl Inst Space Res INPE, BR-12227010 Sao 
                         Jose Dos Campos, SP, Brazil.",
                title = "Land-use and land-cover change processes in the upper Uruguay 
                         Basin: linking environmental and socioeconomic variables",
              journal = "Landscape Ecology",
                 year = "2013",
               volume = "28",
               number = "2",
                pages = "311--327",
                month = "Feb.",
             keywords = "land use and cover change, geographically weighted regression, 
                         canonical correspondence analysis, spatial clustering, landscape 
                         structure, nature and society.",
             abstract = "Land-use and land-cover change affects both ecological and 
                         socioeconomic processes, motivating the integration of 
                         environmental and socioeconomic data to help understand this 
                         change. In this study, we propose a method for the 
                         characterisation and spatial analysis of land use and cover change 
                         in the Upper Uruguay River Basin (Brazil) based on (i) the 
                         characterisation of six LUCC processes-degradation, regeneration, 
                         intensification, extensification, silviculture expansion and 
                         urbanisation-by the combination of 2002 and 2008 land-use and 
                         land-cover classifications of Landsat/TM imagery and on (ii) the 
                         investigation of the relationships between the LUCC processes and 
                         environmental and socioeconomic variables via the combination of 
                         canonical correspondence analysis, linear and local spatial 
                         regression models (OLS and GWR) and spatial clustering procedures 
                         (SKATER), using environmental data, including geomorphometric 
                         data, landscape metrics and census socioeconomic statistics. The 
                         LUCC processes could be explained in terms of the associations 
                         between the selected physical, ecological and social variables 
                         that allowed the terrain, landscape fragmentation and 
                         socioeconomic characteristics to be related to various LUCC 
                         processes.",
                  doi = "10.1007/s10980-012-9838-9",
                  url = "http://dx.doi.org/10.1007/s10980-012-9838-9",
                 issn = "0921-2973",
                label = "isi",
             language = "en",
           targetfile = "10.1007_s10980-012-9838-9.pdf",
        urlaccessdate = "12 maio 2024"
}