@InProceedings{HiryeMcPhFilaAlve:2018:MeHiUr,
               author = "Hirye, Mayumi Cursino de Moura and McPhearson, Timon and Filardo, 
                         Angelo Salvador and Alves, Di{\'o}genes Salas",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Eugene Lang 
                         College, The New School and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Demographic, economic and physical data integration: measuring 
                         Hillside’s urban occupation in metropolitan region of S{\~a}o 
                         Paulo (Brazil)",
                 year = "2018",
         organization = "AGU Fall Meeting",
             abstract = "Geospatial data are crucial to urban science research and to 
                         support policy and decision making. However, analysis of urban 
                         geospatial datasets must overcome differences due to measurement, 
                         spatial unit and resolution. Concerning the demographic data, the 
                         smallest area of data recollection - census tract is often 
                         delimited based on operational criteria. Temporal comparison is 
                         affected by differences in tracts limits that may vary between 
                         decennial censuses. This configures a Modifiable Areal Unit 
                         Problem (MAUP), in which conclusions may not possess any validity 
                         independent of the units which are being studied. On the other 
                         hand, physical variables have their own representation, depending 
                         on the way they are measured. This work proposes to overcome MAUP 
                         and different spatial representations with the usage of a cellular 
                         space, defined as a regular lattice of two dimensions. The 
                         Metropolitan Region of S{\~a}o Paulo (MRSP) is presented as a 
                         study case. In a cellular space, we represent population, income 
                         data and slopes to analyze urban occupation in hillsides, from 
                         1990 to 2010. Population and income information were distributed 
                         using, as auxiliary data, a land cover map obtained from Landsat 
                         imagery. Slope, calculated from topographic maps, was also 
                         distributed in cellular space. Two different lattice resolutions 
                         were used: 1km x 1km, as a final resolution to visualize and 
                         analyze hillsides occupation, and 30m x 30m, a higher resolution, 
                         to perform calculations and data integration, preventing 
                         inaccurate conclusions. Results showed the preponderance of steep 
                         slopes in the north of MRSP, while population have grown in all 
                         directions from downtown. Integrated analyses revealed an intense 
                         process of low income hillsides occupation in southeast and 
                         northwest of MRSP. With less intensity, northern hillsides are 
                         occupied by high income population. This methods enables to 
                         measure and characterize urban occupation in hillsides, 
                         contributing to understand risks and support sustainable 
                         occupation.",
  conference-location = "Washington, D. C.",
      conference-year = "10-14 dec.",
             language = "en",
           targetfile = "hirye_demographic.pdf",
        urlaccessdate = "05 maio 2024"
}