The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources
Identifieur interne : 000950 ( Istex/Corpus ); précédent : 000949; suivant : 000951The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources
Auteurs : V. J Kollias ; D. P KalivasSource :
- Computers and Electronics in Agriculture [ 0168-1699 ] ; 1998.
English descriptors
Abstract
The paper presents the design considerations of FUZZYLAND; a geographical information system with fuzzy processing capabilities. The GIS package ARC/INFO was augmented with new commands to allow the easy application of fuzzy sets theory methods to geographical data. The system was programmed in AML (the ARC/INFO Macro Language) and operates as a set of ARC/INFO commands. This type of development makes the system very easy to use and allows complete control of every stage of the process. Examples of the operation of the FUZZYLAND system are presented, through a case study which demonstrates its application for the classification of the soils of an area of Western Greece in thematic classes according to their (a) degradation from agricultural uses and (b) to their suitability for growing alfalfa. The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.
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DOI: 10.1016/S0168-1699(98)00010-6
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P Kalivas</name><affiliation><mods:affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C</idno><date when="1998" year="1998">1998</date><idno type="doi">10.1016/S0168-1699(98)00010-6</idno><idno type="url">https://api.istex.fr/document/3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000950</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000950</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</title><author><name sortKey="Kollias, V J" sort="Kollias, V J" uniqKey="Kollias V" first="V. 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P Kalivas</name><affiliation><mods:affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Computers and Electronics in Agriculture</title><title level="j" type="abbrev">COMPAG</title><idno type="ISSN">0168-1699</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998">1998</date><biblScope unit="volume">20</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="79">79</biblScope><biblScope unit="page" to="95">95</biblScope></imprint><idno type="ISSN">0168-1699</idno></series><idno type="istex">3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C</idno><idno type="DOI">10.1016/S0168-1699(98)00010-6</idno><idno type="PII">S0168-1699(98)00010-6</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0168-1699</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Fuzzy sets</term><term>Geographical information systems</term><term>Land evaluation</term><term>Soil classification</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The paper presents the design considerations of FUZZYLAND; a geographical information system with fuzzy processing capabilities. The GIS package ARC/INFO was augmented with new commands to allow the easy application of fuzzy sets theory methods to geographical data. The system was programmed in AML (the ARC/INFO Macro Language) and operates as a set of ARC/INFO commands. This type of development makes the system very easy to use and allows complete control of every stage of the process. Examples of the operation of the FUZZYLAND system are presented, through a case study which demonstrates its application for the classification of the soils of an area of Western Greece in thematic classes according to their (a) degradation from agricultural uses and (b) to their suitability for growing alfalfa. The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>V.J Kollias</name><affiliations><json:string>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</json:string></affiliations></json:item><json:item><name>D.P Kalivas</name><affiliations><json:string>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Geographical information systems</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Fuzzy sets</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Soil classification</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Land evaluation</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>The paper presents the design considerations of FUZZYLAND; a geographical information system with fuzzy processing capabilities. 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The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.</abstract><qualityIndicators><score>7.256</score><pdfVersion>1.2</pdfVersion><pdfPageSize>587 x 754 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>4</keywordCount><abstractCharCount>1182</abstractCharCount><pdfWordCount>5165</pdfWordCount><pdfCharCount>29282</pdfCharCount><pdfPageCount>17</pdfPageCount><abstractWordCount>188</abstractWordCount></qualityIndicators><title>The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</title><pii><json:string>S0168-1699(98)00010-6</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>20</volume><pii><json:string>S0168-1699(00)X0027-0</json:string></pii><pages><last>95</last><first>79</first></pages><issn><json:string>0168-1699</json:string></issn><issue>1</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Computers and Electronics in Agriculture</title><publicationDate>1998</publicationDate></host><categories><wos><json:string>science</json:string><json:string>computer science, interdisciplinary applications</json:string><json:string>agriculture, multidisciplinary</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>agriculture, fisheries & forestry</json:string><json:string>agronomy & 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evaluation of land resources</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©1998 Elsevier Science B.V.</p></availability><date>1998</date></publicationStmt><notesStmt><note type="content">Fig. 1: The graphical representation of Model 1 function.</note><note type="content">Fig. 2: The study area.</note><note type="content">Fig. 3: The soils which exactly satisfy the requirements of Section 4.3.1are shown in black.</note><note type="content">Fig. 4: The results of a fuzzy analysis of Section 4.3.1.</note><note type="content">Fig. 5: The soils classified according to the risk of degradation.</note><note type="content">Fig. 6: The classification of the soils using conventional land evaluation methodology.</note><note type="content">Fig. 7: The createfset commands, the corresponding membership function models and the resulting fuzzy grids.</note><note type="content">Fig. 8: The fuzzy answer of Section 4.3.2.</note><note type="content">Fig. 9: Map of the most limiting soil parameter for growing alfalfa.</note><note type="content">Table 1: The values of the soil parameters used for the classification of the soils in the three suitability classes</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</title><author xml:id="author-1"><persName><forename type="first">V.J</forename><surname>Kollias</surname></persName><note type="correspondence"><p>Corresponding author.</p></note><affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</affiliation></author><author xml:id="author-2"><persName><forename type="first">D.P</forename><surname>Kalivas</surname></persName><affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</affiliation></author></analytic><monogr><title level="j">Computers and Electronics in Agriculture</title><title level="j" type="abbrev">COMPAG</title><idno type="pISSN">0168-1699</idno><idno type="PII">S0168-1699(00)X0027-0</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1998"></date><biblScope unit="volume">20</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="79">79</biblScope><biblScope unit="page" to="95">95</biblScope></imprint></monogr><idno type="istex">3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C</idno><idno type="DOI">10.1016/S0168-1699(98)00010-6</idno><idno type="PII">S0168-1699(98)00010-6</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1998</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The paper presents the design considerations of FUZZYLAND; a 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The GIS package ARC/INFO was augmented with new commands to allow the easy application of fuzzy sets theory methods to geographical data. The system was programmed in AML (the ARC/INFO Macro Language) and operates as a set of ARC/INFO commands. This type of development makes the system very easy to use and allows complete control of every stage of the process. Examples of the operation of the FUZZYLAND system are presented, through a case study which demonstrates its application for the classification of the soils of an area of Western Greece in thematic classes according to their (a) degradation from agricultural uses and (b) to their suitability for growing alfalfa. The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Geographical information systems</term></item><item><term>Fuzzy sets</term></item><item><term>Soil classification</term></item><item><term>Land evaluation</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1997-12-12">Modified</change><change when="1998">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; 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:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity><istex:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity><istex:entity SYSTEM="gr7a" NDATA="IMAGE" name="gr7a"></istex:entity><istex:entity SYSTEM="gr7b" NDATA="IMAGE" name="gr7b"></istex:entity><istex:entity SYSTEM="gr8" NDATA="IMAGE" name="gr8"></istex:entity><istex:entity SYSTEM="gr9" NDATA="IMAGE" name="gr9"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>COMPAG</jid><aid>1365</aid><ce:pii>S0168-1699(98)00010-6</ce:pii><ce:doi>10.1016/S0168-1699(98)00010-6</ce:doi><ce:copyright year="1998" type="full-transfer">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</ce:title><ce:author-group><ce:author><ce:given-name>V.J</ce:given-name><ce:surname>Kollias</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref></ce:author><ce:author><ce:given-name>D.P</ce:given-name><ce:surname>Kalivas</ce:surname></ce:author><ce:affiliation><ce:textfn>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author.</ce:text></ce:correspondence></ce:author-group><ce:date-received day="20" month="8" year="1997"></ce:date-received><ce:date-revised day="12" month="12" year="1997"></ce:date-revised><ce:date-accepted day="12" month="1" year="1998"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The paper presents the design considerations of FUZZYLAND; a geographical information system with fuzzy processing capabilities. The GIS package ARC/INFO was augmented with new commands to allow the easy application of fuzzy sets theory methods to geographical data. The system was programmed in AML (the ARC/INFO Macro Language) and operates as a set of ARC/INFO commands. This type of development makes the system very easy to use and allows complete control of every stage of the process. Examples of the operation of the FUZZYLAND system are presented, through a case study which demonstrates its application for the classification of the soils of an area of Western Greece in thematic classes according to their (a) degradation from agricultural uses and (b) to their suitability for growing alfalfa. The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Geographical information systems</ce:text></ce:keyword><ce:keyword><ce:text>Fuzzy sets</ce:text></ce:keyword><ce:keyword><ce:text>Soil classification</ce:text></ce:keyword><ce:keyword><ce:text>Land evaluation</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>The enhancement of a commercial geographical information system (ARC/INFO) with fuzzy processing capabilities for the evaluation of land resources</title></titleInfo><name type="personal"><namePart type="given">V.J</namePart><namePart type="family">Kollias</namePart><affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</affiliation><description>Corresponding author.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D.P</namePart><namePart type="family">Kalivas</namePart><affiliation>Agricultural University of Athens, Department of Soil Science and Agricultural Chemistry, Iera Odos 75, Botanicos 11855, Athens, Greece</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">1998</dateIssued><dateModified encoding="w3cdtf">1997-12-12</dateModified><copyrightDate encoding="w3cdtf">1998</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">The paper presents the design considerations of FUZZYLAND; a geographical information system with fuzzy processing capabilities. The GIS package ARC/INFO was augmented with new commands to allow the easy application of fuzzy sets theory methods to geographical data. The system was programmed in AML (the ARC/INFO Macro Language) and operates as a set of ARC/INFO commands. This type of development makes the system very easy to use and allows complete control of every stage of the process. Examples of the operation of the FUZZYLAND system are presented, through a case study which demonstrates its application for the classification of the soils of an area of Western Greece in thematic classes according to their (a) degradation from agricultural uses and (b) to their suitability for growing alfalfa. The proposed system maintains all the advantages of the GIS ARC/INFO but enhances it in three ways: (1) it can easily manipulate the natural variation of soil properties; (2) users are allowed to express their subjective view on the stored data in the form of membership grades; and (3) it presents a more precise and realistic classification and assessment of land resources.</abstract><note type="content">Fig. 1: The graphical representation of Model 1 function.</note><note type="content">Fig. 2: The study area.</note><note type="content">Fig. 3: The soils which exactly satisfy the requirements of Section 4.3.1are shown in black.</note><note type="content">Fig. 4: The results of a fuzzy analysis of Section 4.3.1.</note><note type="content">Fig. 5: The soils classified according to the risk of degradation.</note><note type="content">Fig. 6: The classification of the soils using conventional land evaluation methodology.</note><note type="content">Fig. 7: The createfset commands, the corresponding membership function models and the resulting fuzzy grids.</note><note type="content">Fig. 8: The fuzzy answer of Section 4.3.2.</note><note type="content">Fig. 9: Map of the most limiting soil parameter for growing alfalfa.</note><note type="content">Table 1: The values of the soil parameters used for the classification of the soils in the three suitability classes</note><subject lang="en"><genre>Keywords</genre><topic>Geographical information systems</topic><topic>Fuzzy sets</topic><topic>Soil classification</topic><topic>Land evaluation</topic></subject><relatedItem type="host"><titleInfo><title>Computers and Electronics in Agriculture</title></titleInfo><titleInfo type="abbreviated"><title>COMPAG</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199806</dateIssued></originInfo><identifier type="ISSN">0168-1699</identifier><identifier type="PII">S0168-1699(00)X0027-0</identifier><part><date>199806</date><detail type="volume"><number>20</number><caption>vol.</caption></detail><detail type="issue"><number>1</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>96</end></extent><extent unit="pages"><start>79</start><end>95</end></extent></part></relatedItem><identifier type="istex">3DAB84D62CFF74BA37BA2972C2C7BC93A8756D6C</identifier><identifier type="DOI">10.1016/S0168-1699(98)00010-6</identifier><identifier type="PII">S0168-1699(98)00010-6</identifier><accessCondition type="use and reproduction" contentType="copyright">©1998 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©1998</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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