spatial evolutionary modeling spatial information systems

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Spatial Evolutionary Modeling

Author : Roman M. Krzanowski
ISBN : 0198031017
Genre : Science
File Size : 33. 7 MB
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Evolutionary models (e.g., genetic algorithms, artificial life), explored in other fields for the past two decades, are now emerging as an important new tool in GIS for a number of reasons. First, they are highly appropriate for modeling geographic phenomena. Secondly, geographical problems are often spatially separate (broken down into local or regional problems) and evolutionary algorithms can exploit this structure. Finally, the ability to store, manipulate, and visualize spatial data has increased to the point that space-time-attribute databases can be easily handled.

Advanced Spatial Analysis

Author : Paul Longley
ISBN : 1589480732
Genre : Science
File Size : 62. 23 MB
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"Describing the latest developments in GIS applications at the Centre for Advanced Spatial Analysis (CASA) at the University College, London, this book demonstrates how CASA is advancing spatial decision systems and spatial analysis, which are essential to solving problems and better understanding how people live. How these systems and analyses are drawn from archaeology, architecture, cartography, computer science, environmental science, geography, planning, remote sensing, geomatic engineering, and transport studies is explained. Highlighted are projects such as Digital Egypt, which describes virtual reality reconstructions for Egyptian archaeological finds, and Virtual cities, which explores the concepts and nature of virtual cities, from early CAD models to the newly emerging data-rich cities that merge GIS with three-dimensional visualization."

Emerging Spatial Information Systems And Applications

Author : Hilton, Brian
ISBN : 1599040778
Genre : Computers
File Size : 88. 73 MB
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Several emerging phenomena and technologies, such as the increasing availability of open source software and the continuing evolution of distributed computing, are introducing a new dynamic into information system development. Emerging Spatial Information Systems and Applications presents innovative spatial information systems that have been developed for a specific problem or decision-making situation and discusses key concepts and theories underlying current spatial information systems, as well as technology trends and emerging concepts that may impact spatial information system development and applications.

Innovations In Gis 5

Author : Steve Carver
ISBN : 9780203478776
Genre : Technology & Engineering
File Size : 52. 63 MB
Format : PDF
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This text reflects the interdisciplinary nature of GIS research and includes coverage of such themes as: virtual GIS; spatial analysis; artificial intelligence; spatial agents and fuzzy systems; and space-time GIS and GIS applications.

Integrating Geographic Information Systems And Agent Based Modeling Techniques For Simulating Social And Ecological Processes

Author : H. Randy Gimblett
ISBN : 0198032749
Genre : Social Science
File Size : 88. 47 MB
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This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation andanalytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors, and successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.

Natural Hazard Zonation Of Bihar India Using Geoinformatics

Author : Tuhin Ghosh
ISBN : 9783319044385
Genre : Nature
File Size : 85. 69 MB
Format : PDF
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With increased climate variability, aggravated natural hazards in the form of extreme events are affecting the lives and livelihoods of many people. This work serves as a basis for formulating a ‘preparedness plan’ to ensure the effective policy formulation for planned development. Increased demand and competition with a high degree of variability have forced people to struggle in order to prosper. Good governance and innovative policy formulation are necessary to create a resilient society. This may promote a paradigm shift in the mindset on and perceptions of natural hazards and their impacts on development and growth. This new perspective will make people more concerned about minimizing the loss of life, property, and environmental damage and directly safeguard the development process. This book presents a detailed methodological approach to monitoring meteorological, hydrological, and climate change aspects to help resolve issues related to our environment, resources, and economies in the changing climate situation.

Quantitative Geography

Author : A Stewart Fotheringham
ISBN : 0761959483
Genre : Science
File Size : 57. 43 MB
Format : PDF
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The Economics Of Complex Spatial Systems

Author : A. Reggiani
ISBN : 9780444600875
Genre : Business & Economics
File Size : 24. 76 MB
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This book argues that complexity theory offers new departures for (spatial-) economic modelling. It offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. The empirical limitations - inherent in the use of non-linear dynamic systems approaches - are also addressed. Next, the application potential of biocomputing (in particular, neural networks and evolutionary algorithms) is stressed, while various empirical model results are presented. The book concludes with an agenda for further research.

Dynamic Knowledge Representation In Scientific Domains

Author : Pshenichny, Cyril
ISBN : 9781522552628
Genre : Science
File Size : 65. 70 MB
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The main approach to understanding and creating knowledge engineering concepts is static knowledge. Currently, there is a need to approach knowledge through a dynamic lens and address changing relations on an elaborated syntactic and semantic basis. Dynamic Knowledge Representation in Scientific Domains provides emerging research on the internal and external changes in knowledge within various subject areas and their visual representations. While highlighting topics such as behavior diagrams, distribution analysis, and qualitative modeling, this publication explores the structural development and assessment of knowledge models. This book is an important resource for academicians, researchers, students, and practitioners seeking current research on information visualization in order to foster research and collaboration.

Methods For Handling Imperfect Spatial Information

Author : Robert Jeansoulin
ISBN : 9783642147548
Genre : Mathematics
File Size : 30. 66 MB
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Spatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect interpretation of remote sensing images, while people attach ill-defined or ambiguous labels to places and their properties. As another example, medical images are often the result of measurements by imprecise sensors (e.g. MRI scans). Moreover, by processing spatial information in real-world applications, additional uncertainty is introduced, e.g. due to the use of interpolation/extrapolation techniques or to conflicts that are detected in an information fusion step. To the best of our knowledge, this book presents the first overview of spatial uncertainty which goes beyond the setting of geographical information systems. Uncertainty issues are especially addressed from a representation and reasoning point of view. In particular, the book consists of 14 chapters, which are clustered around three central topics. The first of these topics is about the uncertainty in meaning of linguistic descriptions of spatial scenes. Second, the issue of reasoning about spatial relations and dealing with inconsistency in information merging is studied. Finally, interpolation and prediction of spatial phenomena are investigated, both at the methodological level and from an application-oriented perspective. The concept of uncertainty by itself is understood in a broad sense, including both quantitative and more qualitative approaches, dealing with variability, epistemic uncertainty, as well as with vagueness of terms.

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