Powersim

Powersim Studio Express 7.00.4226.6  

Posted by MEMEK at Nov. 30, 2008
Powersim Studio Express 7.00.4226.6

Powersim Studio Express v7.00.4226.6 | 23.98 MB

Powersim Software's Studio is an integrated environment for building and running business simulation models in the Microsoft Windows Platform. StudioÆs graphical modelling language makes models easy to follow and explain to others. The explicit and transparent structure is one of the great advantages of the Powersim Software product family.

Powersim Studio 2005 Express  Software

Posted by ruknongae at June 28, 2006
Powersim Studio 2005 Express

Powersim Studio 2005 Express | 21,5 Mb
Robert Costanza (Editor), «Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach»

Robert Costanza (Editor), «Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach»
Springer | ISBN 0387008357 | 2003 Year | PDF | 22 Mb | 330 Pages

When managers and ecologists need to make decisions about the environment, they use models to simulate the dynamic systems that interest them. All management decisions affect certain landscapes over time, and those landscapes are composed of intricate webs of dynamic processes that need to be considered in relation to each other. With widespread use of Geographic Information Systems (GIS), there is a growing need for complex models ncorporating an increasing amount of data. The open-source Spatial Modeling Environment (SME) was developed to build upon common modeling software, such as STELLA (R), and Powersim (R), among others, to create, run, analyze, and present spatial models of ecosystems, watersheds, populations, and landscapes. In this book, the creators of the Spatial Modeling Environment discuss and illustrate the uses of SME as a modeling tool for all kinds of complex spatial systems. The authors demonstrate the entire process of spatial modeling, beginning with the conceptual design, continuing through formal implementation and analysis, and finally with the interpretation and presentation of the results. A variety of applications and case studies address particular types of ecological and management problems and help to identify potential problems for modelers. Researchers and students interested in spatial modeling will learn how to simulate the complex dynamics of landscapes. Managers and decision makers will acquire tools for predicting changes in landscapes while learning about both the possibilities and the limitations of simulation models.
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Robert Costanza (Editor), Alexey Voinov (Editor), «Landscape Simulation Modeling: A Spatially Explicit, Dynamic Approach»
Springer | ISBN 0387008357 | 2003 Year | PDF | 22 Mb | 330 Pages

When managers and ecologists need to make decisions about the environment, they use models to simulate the dynamic systems that interest them. All management decisions affect certain landscapes over time, and those landscapes are composed of intricate webs of dynamic processes that need to be considered in relation to each other. With widespread use of Geographic Information Systems (GIS), there is a growing need for complex models ncorporating an increasing amount of data. The open-source Spatial Modeling Environment (SME) was developed to build upon common modeling software, such as STELLA (R), and Powersim (R), among others, to create, run, analyze, and present spatial models of ecosystems, watersheds, populations, and landscapes. In this book, the creators of the Spatial Modeling Environment discuss and illustrate the uses of SME as a modeling tool for all kinds of complex spatial systems. The authors demonstrate the entire process of spatial modeling, beginning with the conceptual design, continuing through formal implementation and analysis, and finally with the interpretation and presentation of the results. A variety of applications and case studies address particular types of ecological and management problems and help to identify potential problems for modelers. Researchers and students interested in spatial modeling will learn how to simulate the complex dynamics of landscapes. Managers and decision makers will acquire tools for predicting changes in landscapes while learning about both the possibilities and the limitations of simulation models.