Design of an Integrated Spatial Information System for Multiobjective Land-Use Planning

Diamond, James T.; Wright, Jeff R.

doi:10.1068/b150205

Cited by 75 publications

(31 citation statements)

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“…The basic difference among the methods lies in how they make the transformation from a multi-to single-objective model (Cohon 1978). The most often used methods for tackling spatial multiobjective problems are the weighting and constraint methods (Diamond and Wright 1988;Malczewski and Ogryczak 1995;Church et al 1992;Maliszewski et al 2012). …”

Section: Weighting and Constraint Methodsmentioning

confidence: 99%

Multiobjective Optimization Methods

Malczewski

Rinner

2015

Advances in Geographic Information Science

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Section: Weighting and Constraint Methodsmentioning

confidence: 99%

Multiobjective Optimization Methods

Malczewski

Rinner

2015

Advances in Geographic Information Science

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“…Major applications include site selection (Brookes 1997, Cova andChurch 2000), land-use allocation (Wright et al 1983, Gilbert et al 1985, Diamond and Wright 1988, Tomlin and Johnston 1990, Eastman et al 1998, Aerts and Heuvelink 2002, Aerts et al 2003, Ligmann-Zielinska et al 2008, and conservation reserve design (McDonnell et al 2002, Church et al 2003, Nalle et al 2003, Cerdeira et al 2005, Ö nal and Briers 2005, Ö nal and Wang 2008. Solution of these problems generally requires two kinds of tasks: evaluation and allocation of space.…”

Section: Introductionmentioning

confidence: 98%

A heuristic for the maximum value region problem in raster space

Shirabe

2011

International Journal of Geographical Information Science

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From a single-attribute raster layer in which each cell is assigned a numerical value, a connected set of a specified number of cells that has the maximum (or minimum) total value is selected. This is a highly common decision problem in the context of raster-based geographic information systems (GIS) and seems general enough to deserve inclusion in the standard functionality of such systems. Yet it is a computationally difficult optimization problem, for which no efficient exact solution method has been found. This article presents a new dynamic programming-based heuristic method for the problem. Its performance is tested with randomly generated raster layers with various degrees of spatial autocorrelation. Results suggest that the proposed heuristic is a promising alternative to the existing integer programming-based exact method, as it can handle significantly larger raster data with fair accuracy.

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“…It is known that the geotechnical mapping, including Multi evaluation of load-carrying capacity of the soil, was the subject of a lot of research scientific work, including: [1][2][3][4][5][6][7].…”

Section: Methodsmentioning

confidence: 99%

Using a GIS to Assessment the Load-Carrying Capacity of Soil Case of Berhoum Area, Hodna Basin, (Eastern Algeria)

Guettouche¹,

Kaoua²

2013

JGIS

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The concept of load-carrying capacity of the soil can be evaluated by two main components: permissible stress and permissible depth; and therefore, running it begins its assessment that allows an outline of exploitation. Nevertheless, the assessment of the load-carrying capacity made the object of several works of research and many models, based on the multi-criteria analysis, have been established. This work examines the contribution of GIS approach to assessment load-carrying capacity of the soil. This one has been finished in two practicums: 1) Assessment of the capacity of soil by a multi-criteria approach, using the Weighted Sum Model (WSM); 2) It brought to use the GIS approach to evaluate and spatialize degree of soil bearing stresses resulting from the buildings, as well as load distribution. The method has been applied to the Berhoum area of Hodna Basin, in eastern Algeria, where each is characterized by its various natural properties and density of equipment. Final results are better in the classification of the degree of load-carrying capacity possible in each site. This results in allowing exploiters to program their optimal designs for the rational management of the area.

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Design of an Integrated Spatial Information System for Multiobjective Land-Use Planning

Cited by 75 publications

References 0 publications

Multiobjective Optimization Methods

Multiobjective Optimization Methods

A heuristic for the maximum value region problem in raster space

Using a GIS to Assessment the Load-Carrying Capacity of Soil Case of Berhoum Area, Hodna Basin, (Eastern Algeria)

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