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A land evaluation project in Greece using GIS and based on Boolean and fuzzy set methodologies

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TLDR
A project in Greece which investigated the usefulness of GIS as an aid to land evaluation and highlighted the advantages of the latter, although critical decisions are required on choice of membership functions and weights which have a major effect on the results.
Abstract
In Mediterranean regions there is little experience in using GIS as an aid to land evaluation. This paper reports a project in Greece which investigated the usefulness of such technology, Particular emphasis was also given to comparing the results of land evaluation using Boolean and fuzzy set methodologies. The need was to produce the results as quickly and efficiently as possible to aid agricultural planning. By using a GIS, a series of single factor and land evaluation maps was produced for a range of crops; a land suitability map for receipt of sewage was also derived. A comparison of results from using Boolean and fuzzy set methodologies highlighted the advantages of the latter, although critical decisions are required on choice of membership functions and weights which have a major effect on the results.

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Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation

TL;DR: A novel approach of examining multi-criteria weight sensitivity of a GIS-based MCDM model explores the dependency of model output on the weights of input parameters, identifying criteria that are especially sensitive to weight changes and to show the impacts of changing criteria weights on the model outcomes in spatial dimension.
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Expert systems and GIS: an application of land suitability evaluation

TL;DR: In this paper, the authors combined expert systems and geographical information systems technologies to help with an implementation of a land suitability evaluation model. The result is the LEIGIS software, which allows empirical work within the framework of this paper.
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Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS

TL;DR: In this article, a GIS-based multi-criteria decision-making land suitability analysis was performed, in which several suitability factors including soils, climatic conditions, and water availability were evaluated, based on expert knowledge from stakeholders at various levels.
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A land evaluation decision support system (MicroLEIS DSS) for agricultural soil protection: With special reference to the Mediterranean region

TL;DR: The new, re-designed MicroLEIS DSS will provide considerable opportunities for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems of soil protection.
Journal ArticleDOI

Sorites paradox and vague geographies

TL;DR: It is argued here that very many geographical phenomena can be shown to be sorites susceptible, and so vague, both generically and genetically.
References
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A framework for land evaluation

R. Brink, +1 more
TL;DR: All rights reserved No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying or otherwise, without the prior permission of the copyright owner.
Journal ArticleDOI

Fuzzy mathematical methods for soil survey and land evaluation

TL;DR: Fuzzy set theory, which is a generalization of Boolean algebra to situations where data are modelled by entities whose attributes have zones of gradual transition, rather than sharp boundaries, offers a useful alternative to existing methodology.
Journal ArticleDOI

Fuzzy classification methods for determining land suitability from soil profile observations and topography

TL;DR: In this article, the authors used fuzzy classification to determine land suitability from multivariate point observations of soil attributes, topographically controlled site drainage conditions, and minimum contiguous areas, and compared the results obtained with conventional Boolean methods.
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On Variation, Uncertainty and Informatics in Environmental Soil Management

Alex B. McBratney
- 01 Jan 1992 - 
TL;DR: In this article, the authors consider three types of uncertainty in soil information: stochastic, deterministic and semantic, and present a simple example of an optimal preservation strategy based on pedodiversity.
Journal ArticleDOI

Fuzzy information representation and processing in conventional GIS software: database design and application

TL;DR: The inadequacy imposed upon geographical information representation by classical set theory is explored and a fuzzy relational data model is defined which is more representative for geographical information.