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In part I of this book a dynamic migratory model connecting the
microlevel of individual migration trends with the macrolevel of
interregional migration is developed. Its derivation makes use of
the master equation method. Applying a ranking regression analysis,
the trend parameters of the model are correlated to regional
socio-economic key factors. In part II the model is applied to
interregional migration within the countries Federal Republic of
Germany, Canada, France, Israel, Italy and Sweden. In part III a
comparative analysis of the results is given. In part IV a
selfcontained derivation of the master equation and of solutions
relevant for the migratory system is given, the ranking regression
analysis is exemplified and a computer program for the estimation
of trendparameters is added.
The modeling of cities and territories has progressed greatly in
the last 20 years. This is firstly due to geographic information
systems, followed by the availability of large amounts of
georeferenced data - both on the Internet and through the use of
connected objects. In addition, the rise in performance of
computational methods for the simulation and exploration of dynamic
models has facilitated advancement. Geographical Modeling presents
previously unpublished information on the main advances achieved by
these new approaches. Each of the six chapters builds a
bibliographic review and precisely describes the methods used,
highlighting their advantages and discussing their interpretations.
They are all illustrated by many examples. The book also explains
with clarity the theoretical foundations of geographical analysis,
the delicate operations of model selection, and the applications of
fractals and scaling laws. These applications include gaining
knowledge of the morphology of cities and the organization of urban
transport, and finding new methods of building and exploring
simulation models and visualizations of data and results.
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Michael Ball & Alfie Boe
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R59
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