By Yves Guermond
ISBN-10: 0470611723
ISBN-13: 9780470611722
ISBN-10: 1848210876
ISBN-13: 9781848210875
This identify makes a speciality of the evolution of the modeling method and on new learn views in theoretical and utilized geography, in addition to spatial making plans. within the final 50 years, the achievements of spatial research versions opened find out how to a brand new realizing of the connection among society and geographical house. during this ebook, those versions are faced via the true stipulations of territorial prospect, nearby dynamism, cultural coverage, HMO, and spatial segregation. This disagreement takes under consideration the instability of social habit and the permanence of partial determinist trajectories.Content:
Chapter 1 where of either the version and Modeling in HSS (pages 1–14): Patrice Langlois and Daniel Reguer
Chapter 2 From vintage types to Incremental versions (pages 15–37): Yves Guermond
Chapter three The Formalization of data in a truth Simplifying process (pages 39–70): Francoise Lucchini
Chapter four Modeling and Territorial Forecasting: matters at Stake within the Modeling of Reunion's Spatial approach (pages 71–99): Gilles Lajoie
Chapter five One version may perhaps cover one other: types of healthiness Geographies (pages 101–112): Alain Vaguet
Chapter 6 Operational versions in HMO (pages 113–135): Jean?Francois Mary and Jean?Manuel Toussaint
Chapter 7 Modeling Spatial Logics of person Behaviors: From Methodological Environmentalism to the person Resident Strategist (pages 137–160): Michel Bussi
Chapter eight Temporalities and Modeling of local Dynamics: The Case of the ecu Union (pages 161–189): Bernard Elissalde
Chapter nine Modeling the Watershed as a fancy Spatial procedure: A evaluation (pages 191–215): Daniel Delahaye
Chapter 10 knowing to degree… or Measuring to appreciate? HBDS: in the direction of a Conceptual procedure for the Geographic Modeling of the true international (pages 217–254): Thierry Saint?Gerand
Chapter eleven Complexity and Spatial structures (pages 255–276): Patrice Langlois
Chapter 12 mobile Automata for Modeling Spatial platforms (pages 277–307): Patrice Langlois
Chapter thirteen Multi?Agent structures for Simulation in Geography: relocating in the direction of a synthetic Geography (pages 309–334): Eric Daude
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Additional info for The Modeling Process in Geography: From Determinism to Complexity
Sample text
It can be seen how this modeling approach can facilitate the debate with the concerned populations and lead to a certain formalization of arguments exchanged during a discussion, even when these arguments are not quantified. 24 The Modeling Process in Geography The main deficiency in this type of model has been for a long time their nongeographic nature, as the spatial interactions have not been taken into account initially. Each regional evolution is analyzed separately and the influences of the neighboring regions, depending on the closeness of their proximity, could not be integrated.
The construction of the hypotheses is a matter of thought, representations, perception, opinions and values that mankind produces at a time in the history of humanity, at a place on Earth (and now outside it), in the social position that characterizes it. “What is stated as the knowledge object… is largely imposed by the instance that holds the cultural codes” [VAL 96]. Although we can establish laws of probability, we cannot exactly predict a particular random event that would be submitted to that law of probability.
The HSS phenomena are “multi-determined”. The instability, inherent to the complex systems, offers, at certain times, degrees of freedom between these determinisms with the possibility for mankind not only to change its behavior but also to influence these determinisms. A phenomenon in HSS is thus defined as “a succession of choices to make in situations of tension balance joined by portions of determinist trajectories”. Already, the phenomenon of the living individual (that also produces social issues as much as it is produced by them) bears the unique capacity of autoreproduction, not identical reproduction but with the possibility of mutation, which is generating a Darwinist evolution, by growing complexity.