Sensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems

InTech eBooks, Год журнала: 2011, Номер unknown

Опубликована: Сен. 6, 2011

Natural hazards and man-made disasters are victimizing large numbers of people causing significant social economical losses. By developing efficient Spatial Decision Support Systems (SDSS), managers will be efficiently assisted in identifying managing impending hazards. This goal could not reached without addressing challenges, including data collection, management, discovery, translation, integration, visualization, communication. As an emergent technology, sensor networks have proven efficiency providing geoinformation for any decision support system particularly those aiming to manage hazardous events. Thanks their spatially distributed nature, these largely deployed collect, analyze, communicate valuable in-situ spatial information a timely fashion. Since some decisions expected taken onthe-fly, the right must collected by set sensors at time. In addition saving limited resources networks, this speed up usability especially if is provided format. order boost process, thorough understanding use semantics available heterogeneous obviously help determine what how confident one can results ultimately. An appropriate representation should enhance process. Data often associated with information, which makes it voluminous difficult assimilate human being. critical situations, hazard manager has work under pressure. Coping such demanding task may increase risk error. context, Geosimulation emerges as tool. Indeed, mapping into simulated environment takes account dimension dramatically easily visualize correlation between geospatial constraints. chapter, we first present fundamental concepts SDSS most important challenges related development. Second, outline network technology tool leveraging SDSS. Third, approach another keystone part, summarize current opportunities, research potential benefits technique Finally, better efficiency, propose encoding that emphasizes

Язык: Английский

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Spatial model of industrial area suitability using spatial multi criteria evaluation: A case study in Kendari City

Sustinere Journal of Environment and Sustainability, Год журнала: 2023, Номер 6(3), С. 214 - 226

Опубликована: Март 28, 2023

Designing an industrial location must be based on consideration of factors that will influence it such as natural, environmental and ecological conditions. One the spatial-based determination methods is Spatial Multi-Criteria Evaluation (SMCE). This study aims to determine suitable areas compare locations have been determined Regional Plan (RTRW) for 2010-2030 in Kendari City. Industrial flood-free, located a relatively flat area, far from settlements, good access not interfere with river’s natural function. Therefore, aspects access, hydrology, physiography convenience were all taken into account this study. The area Scenario A was retested B C get variety different perspectives. City’s appropriate 2.462.36 ha Puuwatu Sub-District, which directly connected Mandonga Sub-District (scenario 2.C). RTRW map model shows mismatch proposed placement. results can used alternative decision-makers.

Язык: Английский

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Implementación de sistemas de soporte de decisiones multipropósito a escalas urbana y rural

Опубликована: Янв. 1, 2008

En Argentina, en la gran mayoría de los estamentos gubernamentales, tanto a escala urbana como rural, se desconoce qué manera varían espacialmente diferentes parámetros ambientales y, aquellos casos que tienen algunos esbozos cómo distribuyen ciertas variables, no dispone mecanismos posibiliten su consideración simultánea para toma decisiones, por ejemplo, el área del ordenamiento territorial o planificación uso tierra teniendo cuenta fortalezas y debilidades región. Pero además las típicas cuestiones localización óptima (de barrios residenciales, industrias, cementerios, basureros, etc.) verían notoriamente mejoradas caso contar con bases datos digitales organizadas mapas variación espacial, hay otros aspectos vida cotidiana menos importantes citados, también podrían verse favorecidos concretarse tal situación. Justamente, situación problemática observada este caso, fue determinación valor libre mejoras, escalas rural cada partido provincia Buenos Aires, llevan adelante Comisiones Asesoras participan Revalúo Fiscal. Los integrantes dichas comisiones eligen, describen examinan variables consideran relevantes dicho objetivo luego, intentando tener simultáneamente mente proponen valores unidad análisis. Ante esta realidad surge pregunta: ¿no habrá una subjetiva automática determinar tierra? Un Sistema Soporte Decisiones (SSD) es herramienta asistida computadora posee características interactivas, gráficas modelación analizar buscar solución problemas específicos asistir individuos estudio búsqueda soluciones sus gestión. Esto posibilita tomadores decisiones combinar criterio personal salida interfase usuario-máquina permite producir información calidad subsidiar un proceso decisiones. Esta investigación pretende realizar aporte implementación SSD, esto es, aplicar integración entre todos componentes: base datos, herramientas evaluación aplicación modelos. Por otro lado, intentará demostrar metodología muy diversas: (tomando ciudad Azul) cuenca arroyo Azul). Todo fin proveer sean útiles al momento tengan proponer alternativas gestión administración recursos naturales zona estudio. Pero, precisamente, esas hagan sobre fehaciente e integral conocimiento ambiente; eso propuesta evaluar considerar diversidad conjuntamente mismas. SSD ofrecen capacidad elaborar decisión partir alfanumérica geográficos, así modelar procesos análisis espaciales generar nueva.

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Knowledge Representation and Validation in a Decision Support System: Introducing a Variability Modelling Technique

InTech eBooks, Год журнала: 2011, Номер unknown

Опубликована: Сен. 9, 2011

Balasubramanie [18] used traditional knowledge-based tool to define DSS.Williams [28] described the benefits of using Ontologies and Argumentation for DSS.Suh in [25] applied Database Management System (DBMS) two-phased decision support system resource allocation.To best our knowledge, there is no one particular or specific method handling variability as a knowledge representation technique DSS.In addition representation, proposed could be u s e d t o l w i h m n c g such as: constraint dependency rules, explanation, propagation delete-cascade, logic inconsistency detection dead detection.Table 1 summarized previous works validation regarding DSS.The columns are denoted following: KR Knowledge Representation, CDR Constraint Dependency Rules, Expl Explanation, Pro DC Propagation LID Logic Inconsistency Detection DDD Dead Decision Detection.

Язык: Английский

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Evaluating Community Engagement through Argumentation Maps : A Public Participation GIS Case Study

Опубликована: Июль 28, 2021

Significant advances in public participation geographic information systems technology and online mapping platforms have not translated into enhanced citizen democratic planning processes. This study contributes to addressing this gap by evaluating the engagement of members an urban community sustainable neighbourhood through argumentation mapping. The provided discussion forum, together with a map which participants could link their contributions. On basis statistics, contents contributions, responses survey, we discuss participants’ technical experiences. sixteen registered lived within or near ‘Queen West Triangle’ downtown Toronto, Canada. They rated themselves as experienced computer users consequently found forum be easy. contributions showed great degree interest knowledge issues development. However, while majority also comfortable reading, they handling difficult did use option comments map.

Язык: Английский

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The Spatial Dimensions of Multi-Criteria Evaluation – Case Study of a Home Buyer’s Spatial Decision Support System

Опубликована: Сен. 23, 2022

<p>This paper explores the spatial aspects of GIS-based multi-criteria evaluation. We provide a systematic account geographically defined decision criteria based on three classes relations: location, proximity, and direction. also discuss whether evaluation score alternative should be directly influenced by neighbouring scores outline methodology for distance-based adjustment scores. A home buyer case study is employed to demonstrate how can included in support system investigate effect adjusting alternatives. The demonstrates presented decision-makers their effects observed outcome. Further, using performance properties smoothes distribution across area allows consider location’s environment. Keywords: Multi-Criteria Evaluation, Residential Real-Estate Choice, Spatial Decision Support Systems, Relations. </p>

Язык: Английский

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Evaluating Community Engagement through Argumentation Maps : A Public Participation GIS Case Study

Опубликована: Июль 28, 2021

Significant advances in public participation geographic information systems technology and online mapping platforms have not translated into enhanced citizen democratic planning processes. This study contributes to addressing this gap by evaluating the engagement of members an urban community sustainable neighbourhood through argumentation mapping. The provided discussion forum, together with a map which participants could link their contributions. On basis statistics, contents contributions, responses survey, we discuss participants’ technical experiences. sixteen registered lived within or near ‘Queen West Triangle’ downtown Toronto, Canada. They rated themselves as experienced computer users consequently found forum be easy. contributions showed great degree interest knowledge issues development. However, while majority also comfortable reading, they handling difficult did use option comments map.

Язык: Английский

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Design of a view-based DSS for location planning

International Journal of Geographical Information Systems, Год журнала: 1996, Номер 10(2), С. 219 - 236

Опубликована: Март 1, 1996

The traditional approach in DSS falls short of providing a highly interactive problem solving environment for planning.Often, cumbersome procedures are required to implement optional plans and obtain feedback information.In dynamic graphic systems, the user is able view di erent linked representations (e.g., spatial or statistical graphs) data interact selecting items) with these graphics.In this paper we describe design planning facility locations, which uses principles graphics achieve environment.As interacts through active views.However, where views given dataset, structures describing system be planned from perspectives.The declarative procedural forms knowledge involved identi® ed by logical analysis problems.A frame-based formalism proposed represent contained views.The main advantage view-based that it o ers ¯exible performing `what-if ' analyses.

Язык: Английский

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Open Source Foundations for Spatial Decision Support Systems

GI_Forum, Год журнала: 2018, Номер 1, С. 227 - 239

Опубликована: Янв. 1, 2018

Spatial Decision Support Systems (SDSS) were a hot topic in the 1990s, when researchers tried to imbue GIS with additional decision support features. Successful practical developments such as HAZUS or CommunityViz have since been built, based on commercial desktop software and without much heed for theory other than what underlies their process models. Others, like UrbanSim, completely overhauled twice but external scrutiny. Both theoretical foundations of systems developed considerably over past 20 years. This article presents an overview these then looks at corresponding tools by open source communities. In stark contrast abundance OpenGeo software, there is dearth SDSS. The core discussion different approaches that lend themselves platforms develop framework build variety

Язык: Английский

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Aplikasi Decision Support System Dalam Pembangunan Wilayah

Опубликована: Авг. 19, 2018

Buku Aplikasi DSS dalam PW ini sebagai implementasi dari teori/konsep yang sekaligus pelengkap untuk memahami substansi-substansi materi umum secara lebih mendalam. Penulisan buku salah satu produk diharapkan dapat berkontribusi pengembangan keilmuan, peningkatan mutu dan kualitas sumberdaya manusia baik mahasiswa, akademisi maupun masyarakat umum.

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