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Shellito, B.A. and Pijanowski, B.C. (2003) Using Neural Nets to Model the Spatial Distributions of Geographic Information Society. Cartography and Geographic Information Science, 30, 281-290.
https://doi.org/10.1559/152304003100011207

has been cited by the following article:

• TITLE: Eutrophication Process of Soil nearby a Sanitary Landfill and Its Influence on Brazilian Savanna Vegetation

  AUTHORS: Otacílio Antunes Santana, José Imaña-Encinas

  KEYWORDS: Native Tree Species, Savanna, Network Neural Model, Nutrients

  JOURNAL NAME: Journal of Environmental Protection, Vol.13 No.5, May 31, 2022

  ABSTRACT: This work aimed to demonstrate if exists a relation between eutrophic processes of soil (N, P, K, pH, and organic matter) with phytosociology mosaic of native tree species in Brazilian adjacent sanitary landfill areas of the savanna. One of the study area is located in Brasilia, Federal District, and the other one in Goiania, State of Goiás, 210 km far each other. The methodology consisted in techniques, procedures and specific software applied to this kind of data. There were used plots and subplots for each area and for the vegetation and soil survey. Statistical significance showed that there exists a relationship between eutrophic processes of soil with phytosociology mosaic of native savanna tree species.