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© Springer-Verlag Berlin Heidelberg 2013. The most important function of GIS is the analysis of spatial data and their attributes for purposes of decision support. Indeed, spatial analysis is the very crux of GIS. It is the means of adding value to geographic data that allows the conversion of data into useful information and knowledge. As a data mining procedure, spatial analysis helps the GIS user to reveal inherent anomalies, patterns and relationships in GIS data sets that might not be otherwise apparent. This gives more insight into a place and helps in focusing and prioritizing actions or decisions. Strictly speaking, and at a higher level, one may distinguish between analysis and modeling as shown in Table 17.1. However, for purposes of the discussion here-under, the generic terminology analysis is used.
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Fractals and fuzzy sets for modelling the heterogenity and spatial complexity of urban landscapes using multiscale remote sensing dataIslam, Zahurul (2004)This research presents models for the analysis of textural and contextual information content of multiscale remote sensing to select an appropriate scale for the correct interpretation and mapping of heterogeneous urban ...
Wright, Graeme L. (2000)The objective of this study was to investigate the application of multiscale satellite remote sensing data for assessment of land cover change in the rural-urban fringe. Inherent in this assessment process was the ...
Cepuritis, Peter M. (2010)In order to develop an appropriate mine design, a thorough understanding of the rock mass conditions and its potential response to mining is required. Rock mass characterisation is a key component in developing models of ...