Course Outline: Introduction to spatial data type, Potentials of spatial
data, Spatial Analysis, Point pattern analysis, Lines and networks, Area
objects and spatial autocorrelation, types of area objects, Geometric
properties of areas, Boundary Analysis, Buffering and neighbourhood
function, Proximity Analysis, Neighbourhood Function/Analysis, Modelling
and storing field data, Spatial interpolation, type, Methods / algorithms,
Derived measures on surfaces, Map overlay, Vector and raster overlay
operations, Problems in simple Boolean polygon overlay, Multivariate data,
multidimensional space, Multivariate data and multidimensional space,
Distance, difference and similarity, Cluster analysis, PCA, New
approaches to spatial analysis, Interpolation techniques, surface
modelling, DTM/DEM, Multi-criteria and Multi-attribute Modelling,
Uncertainties in spatial modelling.
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