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As stated in the last chapter, the main objective of this series of experiments is to reproduce the functionality of the front end currently being used in the Oracle-based system by creating a new one based on JSP and servlets The new front end will continue to call the stored procedures that exist on the current system and the database structure remains the same From the business standpoint, the intent is that this new front end will only be used by the operators of Pizza2Go As all this technology is quite new for Mrs Chief Architect and Mr Senior Developer, they are not quite sure which architecture to adopt The Model 1 architecture seems to be simpler and more efficient, however, having the Java code intermixed with HTML promises maintenance problems, and doesn't play to the team's strengths The Model 2 architecture solves the maintenance problems by separating the HTML and the Java code, but it tends to consume more memory Armed with this information, they decide to use both architectures - Model 1 when addressing simple pages and Model 2 when the processing is more complex They will also combine both models when it makes sense and turns out to be easier for the developers

REPLICATION OF AGROECOLOGICAL MODELS ON MAP GRIDS 7-15 A Geographical Information System The SAMT (Spatial Analysis and Modeling Tool) program package developed by R Wieland [10,11] is a simple geographical information system for description and manipulation of ecological data SAMT declares and stores arrays of numerical landscape-feature values for a specified grid of geographical locations Examples of landscape features are geographical coordinates for each grid point (x, y, altitude) physical data such as temperature, soil moisture, and species counts at each grid point SAMT can assign and calculate functions that relate different landscape features at any one grid point, say

We'll return to these front-end architecture models at ihe end of the chapter, once we have some code to illustrate the workings with For now, here's a summary flow diagram of the organization of the Pizza2Go Intranet web site:

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q1 = q2 + q3 q1= cos(q2) q1 = calc(q2, q3, )

The code used in this book is available from the Wrox web site (http://wwwwroxcom) After installation (see 2) the source code is located in the directory c: \wlsbook\src and is organized by chapters The executables and related files for execution are deployed in the directory c: \wlsbook\srv, also organized by chapters This organization allows two things: Q Q Having different and independent applications by chapters The separation between the source code and its compiled code (under the directory src) from the complete application (under the directory srv)

For example, the code for this chapter is under c: \wlsbook\src\c03 The two types of source code, Java classes andJSP/HTML, are kept in the directories Java and jsp respectively The Java binary files are kept under the directories serverclasses and servletclasses It is necessary to 'deploy' the application, that is, copy the application from the src to the srv directory To make the compilation and deployment processes easier, a makefile (GNUmakef ile) is included with the following targets: all, common, servlets, deploy, deployJSP, redeploy, javadoc, and clean The syntax of this file is compatible with the GNU make utility All the Java code has the package name j sw, which stands for Java Solutions with WebLogic, and a further sub-package name corresponding with the chapter to which it belongs The Java code for 3 is in the package j sw c03 There is also the javadoc documentation for all the Java code under the directory

Functions such as calc(q2, q3, ) are either numerical expressions or regression functions previously created by simple neural-network or fuzzy-set models [11] SAMT can also assign and store grid-point data values that depend on data at other grid points, such as the distance of the current grid point from another grid point, say, from a city or from a bird s nest; or the shortest distance to a river or road SAMT can, moreover, accumulate statistics such as averages and statistical relative frequencies for an entire set of grid points Last but not least, SAMT can draw maps showing grid-point data values in different colors, or showing contour lines for different landscape features (Fig 7-10) 7-16 Modeling the Evolution of Landscape Features The original SAMT database described a landscape at coarsely spaced sampling times t (eg, once per day, per month, and per year), but the program did not relate landscape features at different sampling times In contrast, DESIRE uses small time steps DT to simulate continuous changes A combination of SAMT and DESIRE can model changes of landscape features at each separate grid point with differential equations and/or difference equations SAMT/DESIRE runs under both Linux and Windows (Figs 7-11 and 7-12)

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