Multiple criteria land use analysis
Identifieur interne : 000D70 ( Istex/Corpus ); précédent : 000D69; suivant : 000D71Multiple criteria land use analysis
Auteurs : Jacques Antoine ; Günther Fischer ; Marek MakowskiSource :
- Applied Mathematics and Computation [ 0096-3003 ] ; 1997.
Abstract
Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.
Url:
DOI: 10.1016/S0096-3003(96)00190-7
Links to Exploration step
ISTEX:267B3DA232E491FDC10986305AE981A55017F093Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Multiple criteria land use analysis</title>
<author><name sortKey="Antoine, Jacques" sort="Antoine, Jacques" uniqKey="Antoine J" first="Jacques" last="Antoine">Jacques Antoine</name>
<affiliation><mods:affiliation>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Fischer, Gunther" sort="Fischer, Gunther" uniqKey="Fischer G" first="Günther" last="Fischer">Günther Fischer</name>
<affiliation><mods:affiliation>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Makowski, Marek" sort="Makowski, Marek" uniqKey="Makowski M" first="Marek" last="Makowski">Marek Makowski</name>
<affiliation><mods:affiliation>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</mods:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:267B3DA232E491FDC10986305AE981A55017F093</idno>
<date when="1997" year="1997">1997</date>
<idno type="doi">10.1016/S0096-3003(96)00190-7</idno>
<idno type="url">https://api.istex.fr/document/267B3DA232E491FDC10986305AE981A55017F093/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000D70</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000D70</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Multiple criteria land use analysis</title>
<author><name sortKey="Antoine, Jacques" sort="Antoine, Jacques" uniqKey="Antoine J" first="Jacques" last="Antoine">Jacques Antoine</name>
<affiliation><mods:affiliation>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Fischer, Gunther" sort="Fischer, Gunther" uniqKey="Fischer G" first="Günther" last="Fischer">Günther Fischer</name>
<affiliation><mods:affiliation>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</mods:affiliation>
</affiliation>
</author>
<author><name sortKey="Makowski, Marek" sort="Makowski, Marek" uniqKey="Makowski M" first="Marek" last="Makowski">Marek Makowski</name>
<affiliation><mods:affiliation>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</mods:affiliation>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Applied Mathematics and Computation</title>
<title level="j" type="abbrev">AMC</title>
<idno type="ISSN">0096-3003</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1997">1997</date>
<biblScope unit="volume">83</biblScope>
<biblScope unit="issue">2–3</biblScope>
<biblScope unit="page" from="195">195</biblScope>
<biblScope unit="page" to="215">215</biblScope>
</imprint>
<idno type="ISSN">0096-3003</idno>
</series>
<idno type="istex">267B3DA232E491FDC10986305AE981A55017F093</idno>
<idno type="DOI">10.1016/S0096-3003(96)00190-7</idno>
<idno type="PII">S0096-3003(96)00190-7</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0096-3003</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.</div>
</front>
</TEI>
<istex><corpusName>elsevier</corpusName>
<author><json:item><name>Jacques Antoine</name>
<affiliations><json:string>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</json:string>
</affiliations>
</json:item>
<json:item><name>Günther Fischer</name>
<affiliations><json:string>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</json:string>
</affiliations>
</json:item>
<json:item><name>Marek Makowski</name>
<affiliations><json:string>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</json:string>
</affiliations>
</json:item>
</author>
<language><json:string>eng</json:string>
</language>
<originalGenre><json:string>Full-length article</json:string>
</originalGenre>
<abstract>Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.</abstract>
<qualityIndicators><score>7.952</score>
<pdfVersion>1.2</pdfVersion>
<pdfPageSize>432 x 648 pts</pdfPageSize>
<refBibsNative>true</refBibsNative>
<keywordCount>0</keywordCount>
<abstractCharCount>1839</abstractCharCount>
<pdfWordCount>6506</pdfWordCount>
<pdfCharCount>38907</pdfCharCount>
<pdfPageCount>21</pdfPageCount>
<abstractWordCount>246</abstractWordCount>
</qualityIndicators>
<title>Multiple criteria land use analysis</title>
<pii><json:string>S0096-3003(96)00190-7</json:string>
</pii>
<genre><json:string>research-article</json:string>
</genre>
<serie><language><json:string>unknown</json:string>
</language>
<title>Working Paper WP-94-102</title>
</serie>
<host><volume>83</volume>
<pii><json:string>S0096-3003(00)X0031-8</json:string>
</pii>
<pages><last>215</last>
<first>195</first>
</pages>
<issn><json:string>0096-3003</json:string>
</issn>
<issue>2–3</issue>
<genre><json:string>journal</json:string>
</genre>
<language><json:string>unknown</json:string>
</language>
<title>Applied Mathematics and Computation</title>
<publicationDate>1997</publicationDate>
</host>
<categories><wos><json:string>science</json:string>
<json:string>mathematics, applied</json:string>
</wos>
<scienceMetrix><json:string>natural sciences</json:string>
<json:string>mathematics & statistics</json:string>
<json:string>numerical & computational mathematics</json:string>
</scienceMetrix>
</categories>
<publicationDate>1997</publicationDate>
<copyrightDate>1997</copyrightDate>
<doi><json:string>10.1016/S0096-3003(96)00190-7</json:string>
</doi>
<id>267B3DA232E491FDC10986305AE981A55017F093</id>
<score>0.038707502</score>
<fulltext><json:item><extension>pdf</extension>
<original>true</original>
<mimetype>application/pdf</mimetype>
<uri>https://api.istex.fr/document/267B3DA232E491FDC10986305AE981A55017F093/fulltext/pdf</uri>
</json:item>
<json:item><extension>zip</extension>
<original>false</original>
<mimetype>application/zip</mimetype>
<uri>https://api.istex.fr/document/267B3DA232E491FDC10986305AE981A55017F093/fulltext/zip</uri>
</json:item>
<istex:fulltextTEI uri="https://api.istex.fr/document/267B3DA232E491FDC10986305AE981A55017F093/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Multiple criteria land use analysis</title>
</titleStmt>
<publicationStmt><authority>ISTEX</authority>
<publisher>ELSEVIER</publisher>
<availability><p>ELSEVIER</p>
</availability>
<date>1997</date>
</publicationStmt>
<sourceDesc><biblStruct type="inbook"><analytic><title level="a">Multiple criteria land use analysis</title>
<author xml:id="author-1"><persName><forename type="first">Jacques</forename>
<surname>Antoine</surname>
</persName>
<affiliation>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</affiliation>
</author>
<author xml:id="author-2"><persName><forename type="first">Günther</forename>
<surname>Fischer</surname>
</persName>
<affiliation>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</affiliation>
</author>
<author xml:id="author-3"><persName><forename type="first">Marek</forename>
<surname>Makowski</surname>
</persName>
<affiliation>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</affiliation>
</author>
</analytic>
<monogr><title level="j">Applied Mathematics and Computation</title>
<title level="j" type="abbrev">AMC</title>
<idno type="pISSN">0096-3003</idno>
<idno type="PII">S0096-3003(00)X0031-8</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1997"></date>
<biblScope unit="volume">83</biblScope>
<biblScope unit="issue">2–3</biblScope>
<biblScope unit="page" from="195">195</biblScope>
<biblScope unit="page" to="215">215</biblScope>
</imprint>
</monogr>
<idno type="istex">267B3DA232E491FDC10986305AE981A55017F093</idno>
<idno type="DOI">10.1016/S0096-3003(96)00190-7</idno>
<idno type="PII">S0096-3003(96)00190-7</idno>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><creation><date>1997</date>
</creation>
<langUsage><language ident="en">en</language>
</langUsage>
<abstract xml:lang="en"><p>Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.</p>
</abstract>
</profileDesc>
<revisionDesc><change when="1997">Published</change>
</revisionDesc>
</teiHeader>
</istex:fulltextTEI>
<json:item><extension>txt</extension>
<original>false</original>
<mimetype>text/plain</mimetype>
<uri>https://api.istex.fr/document/267B3DA232E491FDC10986305AE981A55017F093/fulltext/txt</uri>
</json:item>
</fulltext>
<metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration>
<istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType>
<istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>AMC</jid>
<aid>96001907</aid>
<ce:pii>S0096-3003(96)00190-7</ce:pii>
<ce:doi>10.1016/S0096-3003(96)00190-7</ce:doi>
<ce:copyright type="unknown" year="1997"></ce:copyright>
</item-info>
<head><ce:title>Multiple criteria land use analysis</ce:title>
<ce:author-group><ce:author><ce:given-name>Jacques</ce:given-name>
<ce:surname>Antoine</ce:surname>
</ce:author>
<ce:affiliation><ce:textfn>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</ce:textfn>
</ce:affiliation>
</ce:author-group>
<ce:author-group><ce:author><ce:given-name>Günther</ce:given-name>
<ce:surname>Fischer</ce:surname>
</ce:author>
<ce:affiliation><ce:textfn>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</ce:textfn>
</ce:affiliation>
</ce:author-group>
<ce:author-group><ce:author><ce:given-name>Marek</ce:given-name>
<ce:surname>Makowski</ce:surname>
</ce:author>
<ce:affiliation><ce:textfn>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</ce:textfn>
</ce:affiliation>
</ce:author-group>
<ce:abstract><ce:section-title>Abstract</ce:section-title>
<ce:abstract-sec><ce:simple-para>Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.</ce:simple-para>
</ce:abstract-sec>
</ce:abstract>
</head>
</converted-article>
</istex:document>
</istex:metadataXml>
<mods version="3.6"><titleInfo><title>Multiple criteria land use analysis</title>
</titleInfo>
<titleInfo type="alternative" contentType="CDATA"><title>Multiple criteria land use analysis</title>
</titleInfo>
<name type="personal"><namePart type="given">Jacques</namePart>
<namePart type="family">Antoine</namePart>
<affiliation>Land and Water Development Division, AGL B705 Food and Agriculture Organization (FAO) Viale delle Terme di Caracalla I-00100 Rome, Italy</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Günther</namePart>
<namePart type="family">Fischer</namePart>
<affiliation>Land Use Change Project International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Marek</namePart>
<namePart type="family">Makowski</namePart>
<affiliation>Methodology of Decision Analysis International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<typeOfResource>text</typeOfResource>
<genre type="research-article" displayLabel="Full-length article"></genre>
<originInfo><publisher>ELSEVIER</publisher>
<dateIssued encoding="w3cdtf">1997</dateIssued>
<copyrightDate encoding="w3cdtf">1997</copyrightDate>
</originInfo>
<language><languageTerm type="code" authority="iso639-2b">eng</languageTerm>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
</language>
<physicalDescription><internetMediaType>text/html</internetMediaType>
</physicalDescription>
<abstract lang="en">Since the early 1980s, the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA) have been collaborating on expanding FAO's Agro-Ecological Zones (AEZ) methodology of land resources appraisal by incorporating decision support tools for optimizing the use of land resources. Initially, these tools consisted of the application of linear optimization techniques for analyzing land-use scenarios with regard to single objective functions, such as maximizing argicultural production or minimizing the cost of production under specific physical environmental and socio-economic conditions and constraints. Often, the specification of a single objective function does not adequately reflect the preferences of decision-makers, which are of a multiobjective nature in many practical problems dealing with resources. Multicriteria optimization approaches address problem definitions and solutions in a more realistic way and have recently been applied by FAO and IIASA in a land resources appraisal study in Kenya. In this study, optimization techniques coupled with multicriteria decision analysis (MCDA) techniques, using the Aspiration-Reservation Based Decision Support (ARBDS) approach, have been used to analyze various land use scenarios, considering simultaneously several objectives such as maximizing revenues from crop and livestock production, maximizing district self-reliance in agricultural production, minimizing costs of production and environmental damages from erosion. The main users of the new tool being developed, which combines AEZ and MCDA, are expected to be natural resources analysts and managers, land-use planners, ecologists, environmentalists, economists at national and regional levels, and agricultural extensionists at the local scale.</abstract>
<relatedItem type="host"><titleInfo><title>Applied Mathematics and Computation</title>
</titleInfo>
<titleInfo type="abbreviated"><title>AMC</title>
</titleInfo>
<genre type="journal">journal</genre>
<originInfo><dateIssued encoding="w3cdtf">199705</dateIssued>
</originInfo>
<identifier type="ISSN">0096-3003</identifier>
<identifier type="PII">S0096-3003(00)X0031-8</identifier>
<part><date>199705</date>
<detail type="volume"><number>83</number>
<caption>vol.</caption>
</detail>
<detail type="issue"><number>2–3</number>
<caption>no.</caption>
</detail>
<extent unit="issue pages"><start>97</start>
<end>301</end>
</extent>
<extent unit="pages"><start>195</start>
<end>215</end>
</extent>
</part>
</relatedItem>
<identifier type="istex">267B3DA232E491FDC10986305AE981A55017F093</identifier>
<identifier type="DOI">10.1016/S0096-3003(96)00190-7</identifier>
<identifier type="PII">S0096-3003(96)00190-7</identifier>
<recordInfo><recordContentSource>ELSEVIER</recordContentSource>
</recordInfo>
</mods>
</metadata>
</istex>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D70 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000D70 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Agronomie |area= SisAgriV1 |flux= Istex |étape= Corpus |type= RBID |clé= ISTEX:267B3DA232E491FDC10986305AE981A55017F093 |texte= Multiple criteria land use analysis }}
![]() | This area was generated with Dilib version V0.6.28. | ![]() |