In this theoretical study, the relevance of synthetic analysis to the study of population geography is considered. The author suggests that neural networks, like those involved in brain simulation, could be used to further develop the usefulness of synthetic analysis in population geography. Two approaches are considered. The author concludes that synthetic analysis alone can be used to solve practical problems in population geography. Instead, synthetic analysis involving the interconnecting concepts of neural networks is suitable for tackling more complicated problems.
"The paper deals with...urban growth in India in general with relevance to urban agglomerations of major significance on the basis of [the] Census of 1991. In addition the urban growth during 1981-91 is viewed in accordance with the projected population and the actual count as undertaken in the 1991 Census operations. Some of the questions arising out of the contemporary trends in these areas...may be of concern for academic and planning processes. More elaborate synthesis is obviously required when the detailed tables on socio-economic parameters are given by the Census in due course to cross-classify and examine more aspects of population at various levels."
