Agricultural landscape segmentation: a stochastic method to map heterogeneous variables
Identifieur interne : 000B73 ( Hal/Curation ); précédent : 000B72; suivant : 000B74Agricultural landscape segmentation: a stochastic method to map heterogeneous variables
Auteurs : Davide Rizzo [France] ; Jean-François Mari [France] ; Elisa Marraccini [Italie] ; El-Ghali Lazrak [France]Source :
English descriptors
Abstract
Agricultural landscapes are segmented into land management units, whose definition changes according to the concerned stakeholders or the research focus (Rizzo et al., 2013). Innovative approaches are needed to describe and model time-space dynamics of these units by using multipledata sources. Various methods proposed so far in literature mainly differed for disciplinary backgrounds and study targets(e.g. environmental protection, conservation of cultural features, etc.). In this context, agronomy appears to have a marginal role because of a small interest in spatially-explicit and context-wise issues of agriculture. Accordingly, the landscape agronomy perspective claims for an improved understanding of the interaction between farming practices and natural resources at the landscape level (Benoît, Rizzo et al., 2012). Our aim in this paper is to presenta method capable to define land management units by handling heterogeneous spatial data. We tested a stochastic data mining methodthat was originally developed for the time-space modelling of agricultural land uses(Mari, Lazrak, &Benoît, 2013). We stressed the Markov random field(MRF) assumption of thismethod assuming that the characteristics of a spatial unit depend on the characteristics of the neighbouring ones. The study was carried out on the Monte Pisano, a Mediterranean terraced system (62 km2, central Italy). Different sets and classification of variables were tested stressing natural and management issues. Finally, the landscape was segmented using 6 variables: geology, aspect, morphology, land cover, terrace type and proximity to road. The layers were sampled on a regular point grid then the MRF was approximated to a hidden Markov model bymeansofa space-filling curve. The results consisted in a set of maps of agro-environmental management units and a hierarchy of related landscape characteristics. This exploratory method can improve the landscape assessment by providing a rapid appraisal of heterogeneous data in a spatially-explicit way.
Url:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000B73
Links to Exploration step
Hal:hal-01098402Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Agricultural landscape segmentation: a stochastic method to map heterogeneous variables</title><author><name sortKey="Rizzo, Davide" sort="Rizzo, Davide" uniqKey="Rizzo D" first="Davide" last="Rizzo">Davide Rizzo</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-255823" status="INCOMING"><orgName>Agro-Sytèmes Territoires Ressources Mirecourt</orgName><desc><address><addrLine>Mirecourt</addrLine><country key="FR"></country></address></desc><listRelation><relation active="#struct-313926" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-313926" type="direct"><org type="institution" xml:id="struct-313926" status="INCOMING"><orgName>Institut National de Recherche Agronomique</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Mari, Jean Francois" sort="Mari, Jean Francois" uniqKey="Mari J" first="Jean-François" last="Mari">Jean-François Mari</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2358" status="OLD"><idno type="RNSR">200818291B</idno><orgName>Knowledge representation, reasonning</orgName><orgName type="acronym">ORPAILLEUR</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/orpailleur</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation name="UMR7503" active="#struct-441569" type="direct"></relation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-300291" type="direct"></relation><relation active="#struct-300292" type="direct"></relation><relation active="#struct-300293" type="direct"></relation></listRelation></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Marraccini, Elisa" sort="Marraccini, Elisa" uniqKey="Marraccini E" first="Elisa" last="Marraccini">Elisa Marraccini</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-154431" status="VALID"><orgName>Agricoltura, Ambiente, Territorio</orgName><orgName type="acronym">Land Lab</orgName><desc><address><addrLine>Piazza Martiri della Libertà 33 56100 Pisa</addrLine><country key="IT"></country></address></desc><listRelation><relation active="#struct-58000" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-58000" type="direct"><org type="institution" xml:id="struct-58000" status="VALID"><orgName>Scuola Superiore Sant'Anna [Pisa]</orgName><desc><address><addrLine>Piazza Martiri della Libertà 33 - 56127 Pisa</addrLine><country key="IT"></country></address><ref type="url">http://www.sssup.it/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>Italie</country></affiliation></author><author><name sortKey="Lazrak, El Ghali" sort="Lazrak, El Ghali" uniqKey="Lazrak E" first="El-Ghali" last="Lazrak">El-Ghali Lazrak</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-133440" status="VALID"><orgName>Agro-Systèmes Territoires Ressources Mirecourt</orgName><orgName type="acronym">ASTER Mirecourt</orgName><desc><address><addrLine>MIRECOURT</addrLine><country key="FR"></country></address></desc><listRelation><relation name="UR" active="#struct-92114" type="direct"></relation></listRelation><tutelles><tutelle name="UR" active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"><orgName>Institut National de la Recherche Agronomique</orgName><orgName type="acronym">INRA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inra.fr</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">HAL</idno><idno type="RBID">Hal:hal-01098402</idno><idno type="halId">hal-01098402</idno><idno type="halUri">https://hal.inria.fr/hal-01098402</idno><idno type="url">https://hal.inria.fr/hal-01098402</idno><date when="2014-07-04">2014-07-04</date><idno type="wicri:Area/Hal/Corpus">000B73</idno><idno type="wicri:Area/Hal/Curation">000B73</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Agricultural landscape segmentation: a stochastic method to map heterogeneous variables</title><author><name sortKey="Rizzo, Davide" sort="Rizzo, Davide" uniqKey="Rizzo D" first="Davide" last="Rizzo">Davide Rizzo</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-255823" status="INCOMING"><orgName>Agro-Sytèmes Territoires Ressources Mirecourt</orgName><desc><address><addrLine>Mirecourt</addrLine><country key="FR"></country></address></desc><listRelation><relation active="#struct-313926" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-313926" type="direct"><org type="institution" xml:id="struct-313926" status="INCOMING"><orgName>Institut National de Recherche Agronomique</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author><author><name sortKey="Mari, Jean Francois" sort="Mari, Jean Francois" uniqKey="Mari J" first="Jean-François" last="Mari">Jean-François Mari</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-2358" status="OLD"><idno type="RNSR">200818291B</idno><orgName>Knowledge representation, reasonning</orgName><orgName type="acronym">ORPAILLEUR</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/orpailleur</ref></desc><listRelation><relation active="#struct-160" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-300291" type="indirect"></relation><relation active="#struct-300292" type="indirect"></relation><relation active="#struct-300293" type="indirect"></relation><relation active="#struct-2496" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-160" type="direct"><org type="laboratory" xml:id="struct-160" status="OLD"><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation name="UMR7503" active="#struct-441569" type="direct"></relation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-300291" type="direct"></relation><relation active="#struct-300292" type="direct"></relation><relation active="#struct-300293" type="direct"></relation></listRelation></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Marraccini, Elisa" sort="Marraccini, Elisa" uniqKey="Marraccini E" first="Elisa" last="Marraccini">Elisa Marraccini</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-154431" status="VALID"><orgName>Agricoltura, Ambiente, Territorio</orgName><orgName type="acronym">Land Lab</orgName><desc><address><addrLine>Piazza Martiri della Libertà 33 56100 Pisa</addrLine><country key="IT"></country></address></desc><listRelation><relation active="#struct-58000" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-58000" type="direct"><org type="institution" xml:id="struct-58000" status="VALID"><orgName>Scuola Superiore Sant'Anna [Pisa]</orgName><desc><address><addrLine>Piazza Martiri della Libertà 33 - 56127 Pisa</addrLine><country key="IT"></country></address><ref type="url">http://www.sssup.it/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>Italie</country></affiliation></author><author><name sortKey="Lazrak, El Ghali" sort="Lazrak, El Ghali" uniqKey="Lazrak E" first="El-Ghali" last="Lazrak">El-Ghali Lazrak</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-133440" status="VALID"><orgName>Agro-Systèmes Territoires Ressources Mirecourt</orgName><orgName type="acronym">ASTER Mirecourt</orgName><desc><address><addrLine>MIRECOURT</addrLine><country key="FR"></country></address></desc><listRelation><relation name="UR" active="#struct-92114" type="direct"></relation></listRelation><tutelles><tutelle name="UR" active="#struct-92114" type="direct"><org type="institution" xml:id="struct-92114" status="VALID"><orgName>Institut National de la Recherche Agronomique</orgName><orgName type="acronym">INRA</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inra.fr</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Landscape agronomy</term><term>data mining</term><term>terraced landscape</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Agricultural landscapes are segmented into land management units, whose definition changes according to the concerned stakeholders or the research focus (Rizzo et al., 2013). Innovative approaches are needed to describe and model time-space dynamics of these units by using multipledata sources. Various methods proposed so far in literature mainly differed for disciplinary backgrounds and study targets(e.g. environmental protection, conservation of cultural features, etc.). In this context, agronomy appears to have a marginal role because of a small interest in spatially-explicit and context-wise issues of agriculture. Accordingly, the landscape agronomy perspective claims for an improved understanding of the interaction between farming practices and natural resources at the landscape level (Benoît, Rizzo et al., 2012). Our aim in this paper is to presenta method capable to define land management units by handling heterogeneous spatial data. We tested a stochastic data mining methodthat was originally developed for the time-space modelling of agricultural land uses(Mari, Lazrak, &Benoît, 2013). We stressed the Markov random field(MRF) assumption of thismethod assuming that the characteristics of a spatial unit depend on the characteristics of the neighbouring ones. The study was carried out on the Monte Pisano, a Mediterranean terraced system (62 km2, central Italy). Different sets and classification of variables were tested stressing natural and management issues. Finally, the landscape was segmented using 6 variables: geology, aspect, morphology, land cover, terrace type and proximity to road. The layers were sampled on a regular point grid then the MRF was approximated to a hidden Markov model bymeansofa space-filling curve. The results consisted in a set of maps of agro-environmental management units and a hierarchy of related landscape characteristics. This exploratory method can improve the landscape assessment by providing a rapid appraisal of heterogeneous data in a spatially-explicit way.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Agricultural landscape segmentation: a stochastic method to map heterogeneous variables</title><author role="aut"><persName><forename type="first">Davide</forename><surname>Rizzo</surname></persName><email></email><idno type="halauthor">624579</idno><affiliation ref="#struct-255823"></affiliation></author><author role="aut"><persName><forename type="first">Jean-François</forename><surname>Mari</surname></persName><email>jean-francois.mari@loria.fr</email><ptr type="url" target="http://www.loria.fr/~jfmari"></ptr><idno type="halauthor">1125681</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Elisa</forename><surname>Marraccini</surname></persName><email>elisamar@gmail.com</email><idno type="halauthor">604591</idno><affiliation ref="#struct-154431"></affiliation></author><author role="aut"><persName><forename type="first">El-Ghali</forename><surname>Lazrak</surname></persName><email>lazrak@mirecourt.inra.fr</email><idno type="halauthor">535847</idno><affiliation ref="#struct-133440"></affiliation></author><editor role="depositor"><persName><forename>Jean-François</forename><surname>Mari</surname></persName><email>jean-francois.mari@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2014-12-24 14:41:07</date><date type="whenWritten">2014-07</date><date type="whenModified">2016-05-18 09:01:16</date><date type="whenReleased">2015-01-05 16:16:43</date><date type="whenProduced">2014-07-04</date><date type="whenEndEmbargoed">2015-01-05</date><ref type="file" target="https://hal.inria.fr/hal-01098402/document"><date notBefore="2015-01-05"></date></ref><ref type="file" subtype="greenPublisher" n="1" target="https://hal.inria.fr/hal-01098402/file/IALE2014_RizzoEtAl_20140310.pdf"><date notBefore="2015-01-05"></date></ref><ref type="file" subtype="greenPublisher" n="0" target="https://hal.inria.fr/hal-01098402/file/rizzo_op_s1.pdf"><date notBefore="2015-01-05"></date></ref></edition><respStmt><resp>contributor</resp><name key="101898"><persName><forename>Jean-François</forename><surname>Mari</surname></persName><email>jean-francois.mari@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-01098402</idno><idno type="halUri">https://hal.inria.fr/hal-01098402</idno><idno type="halBibtex">rizzo:hal-01098402</idno><idno type="halRefHtml">Advances in Spatial Typologies: How to move from concepts to practice?, Jul 2014, Lisbon, Portugal. 2014, <http://ialeworkshop2014.tecnico.ulisboa.pt/></idno><idno type="halRef">Advances in Spatial Typologies: How to move from concepts to practice?, Jul 2014, Lisbon, Portugal. 2014, <http://ialeworkshop2014.tecnico.ulisboa.pt/></idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="INRA">INRA - Institut national de la recherche agronomique</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Agricultural landscape segmentation: a stochastic method to map heterogeneous variables</title><author role="aut"><persName><forename type="first">Davide</forename><surname>Rizzo</surname></persName><idno type="halAuthorId">624579</idno><affiliation ref="#struct-255823"></affiliation></author><author role="aut"><persName><forename type="first">Jean-François</forename><surname>Mari</surname></persName><email>jean-francois.mari@loria.fr</email><ptr type="url" target="http://www.loria.fr/~jfmari"></ptr><idno type="halAuthorId">1125681</idno><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Elisa</forename><surname>Marraccini</surname></persName><email>elisamar@gmail.com</email><idno type="halAuthorId">604591</idno><affiliation ref="#struct-154431"></affiliation></author><author role="aut"><persName><forename type="first">El-Ghali</forename><surname>Lazrak</surname></persName><email>lazrak@mirecourt.inra.fr</email><idno type="halAuthorId">535847</idno><affiliation ref="#struct-133440"></affiliation></author></analytic><monogr><meeting><title>Advances in Spatial Typologies: How to move from concepts to practice?</title><date type="start">2014-07-04</date><settlement>Lisbon</settlement><country key="PT">Portugal</country></meeting><respStmt><resp>conferenceOrganizer</resp><name>IALE-Europe Thematic Workshop 2014:</name></respStmt><imprint><date type="datePub">2014-07-04</date></imprint></monogr><ref type="publisher">http://ialeworkshop2014.tecnico.ulisboa.pt/</ref></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">Landscape agronomy</term><term xml:lang="en">data mining</term><term xml:lang="en">terraced landscape</term></keywords><classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Agricultural landscapes are segmented into land management units, whose definition changes according to the concerned stakeholders or the research focus (Rizzo et al., 2013). Innovative approaches are needed to describe and model time-space dynamics of these units by using multipledata sources. Various methods proposed so far in literature mainly differed for disciplinary backgrounds and study targets(e.g. environmental protection, conservation of cultural features, etc.). In this context, agronomy appears to have a marginal role because of a small interest in spatially-explicit and context-wise issues of agriculture. Accordingly, the landscape agronomy perspective claims for an improved understanding of the interaction between farming practices and natural resources at the landscape level (Benoît, Rizzo et al., 2012). Our aim in this paper is to presenta method capable to define land management units by handling heterogeneous spatial data. We tested a stochastic data mining methodthat was originally developed for the time-space modelling of agricultural land uses(Mari, Lazrak, &Benoît, 2013). We stressed the Markov random field(MRF) assumption of thismethod assuming that the characteristics of a spatial unit depend on the characteristics of the neighbouring ones. The study was carried out on the Monte Pisano, a Mediterranean terraced system (62 km2, central Italy). Different sets and classification of variables were tested stressing natural and management issues. Finally, the landscape was segmented using 6 variables: geology, aspect, morphology, land cover, terrace type and proximity to road. The layers were sampled on a regular point grid then the MRF was approximated to a hidden Markov model bymeansofa space-filling curve. The results consisted in a set of maps of agro-environmental management units and a hierarchy of related landscape characteristics. This exploratory method can improve the landscape assessment by providing a rapid appraisal of heterogeneous data in a spatially-explicit way.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Hal/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B73 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Hal/Curation/biblio.hfd -nk 000B73 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Hal
|étape= Curation
|type= RBID
|clé= Hal:hal-01098402
|texte= Agricultural landscape segmentation: a stochastic method to map heterogeneous variables
}}
| This area was generated with Dilib version V0.6.33. |  |