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By Robert J. Abrahart, Linda M. See

Geocomputation is largely the follow-on revolution from Geographic details technology and is anticipated to assemble pace and momentum within the first decade of the twenty first century. It comes into use as soon as a GIS database has been organize, with a electronic info library, and improved and associated with an international geographical or 3 dimensional co-ordinate method. It exploits advancements in IT and new info amassing and earth looking at applied sciences, and takes the inspiration of GIS past info and in the direction of its research, modelling, and use in challenge fixing. This booklet offers tips on tips to harness those applied sciences in tandem and within the context of a number of diverse topics and troublesome areas. It seeks to set up the rules and set the principles for next growth.L

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In more sophisticated types of exploratory analysis, interaction with the data being mapped is possible which is where GIS and exploratory graphics packages become useful (see below). The other debate to which GC contributes is that which includes, on the one hand, those who support deductive reasoning and those, on the other, who believe in inductive techniques. Most quantitative geographers probably find a mixture of the two the most fruitful means of uncovering knowledge. GeoComputation techniques have a potential role to play in deductive reasoning by providing alternative means of model calibration (see, for example, the chapter on neurocomputing) and significance testing (an example being the development of experimental significance tests described above) which do not need to rely on untestable assumptions about the data.

Couclelis writes ‘…geocomputation has the potential to influence a number of other spatial sciences, disciplines and application areas with a spatial component, but also to be noticed beyond the walls of universities and research centres. This potential is based on the fact that geocomputation blends well with several major trends in contemporary society. It is obviously in tune with the computer revolution, and capitalizes on the continuing dramatic expansion in computing power and the ubiquity of userfriendly, versatile machines.

None of which affect a workstation or slow it down to anything like the same extent. So maybe a workstation is able to do the run not in 10 days but in two to four days. Now, on a busy HPC platform you may easily wait a few weeks for your hour! A further possibility is to organize a set of unix workstations or PCs running NT into a local processor farm. Most workstations are idle, probably most of the time! If the parallelism in an application is sufficiently coarsely grained and the parallelism exploited using MPI (or PVM) message passing software (see Chapter 3) then the same code can be run on one or multiple local processors with the processors connected by a LAN.

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