<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="it">
<Esri>
<CreaDate>20240319</CreaDate>
<CreaTime>12213700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Allevamenti_bovini_2012</itemName>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">1335771.744100</westBL>
<eastBL Sync="TRUE">1461845.289400</eastBL>
<southBL Sync="TRUE">5254746.577100</southBL>
<northBL Sync="TRUE">5373154.683400</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_Web_Mercator_Auxiliary_Sphere</projcsn>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Mercator_Auxiliary_Sphere&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,0.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,0.0],PARAMETER[&amp;quot;Auxiliary_Sphere_Type&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3857]]&lt;/WKT&gt;&lt;XOrigin&gt;-20037700&lt;/XOrigin&gt;&lt;YOrigin&gt;-30241100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102100&lt;/WKID&gt;&lt;LatestWKID&gt;3857&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20221115</SyncDate>
<SyncTime>14243600</SyncTime>
<ModDate>20221116</ModDate>
<ModTime>9171600</ModTime>
<locales>
<locale country="IT" language="ita"/>
</locales>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>INSPIRE</ArcGISProfile>
</Esri>
<eainfo>
<detailed Name="Allevamenti_bovini_2012">
<enttyp>
<enttypl Sync="TRUE">Allevamenti_bovini_2012</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">120</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">ID</attrlabl>
<attalias Sync="TRUE">ID</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LATITUDINE</attrlabl>
<attalias Sync="TRUE">LATITUDINE</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LONGITUDIN</attrlabl>
<attalias Sync="TRUE">LONGITUDIN</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SPECIE</attrlabl>
<attalias Sync="TRUE">SPECIE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TOT_CAPI</attrlabl>
<attalias Sync="TRUE">TOT_CAPI</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GRIDCODE</attrlabl>
<attalias Sync="TRUE">GRIDCODE</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LINK</attrlabl>
<attalias Sync="TRUE">Link</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TIPO_AREA</attrlabl>
<attalias Sync="TRUE">Tipo di area</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdFileID>p_perugia:00000:20221231:000085</mdFileID>
<mdLang>
<languageCode value="ita"/>
<countryCode Sync="TRUE" value="ITA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName>dataset</mdHrLvName>
<mdContact>
<rpIndName>Arch. Mauro Magrini</rpIndName>
<rpOrgName>Provincia di Perugia</rpOrgName>
<rpPosName>Responsabile Ufficio Territorio e Pianificazione</rpPosName>
<rpCntInfo>
<cntAddress>
<eMailAdd>mauro.magrini@provincia.perugia.it</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20221116</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distFormat>
<formatName>File Geodatabase Feature Class</formatName>
<formatVer>ESRI feature</formatVer>
</distFormat>
<distributor>
<distorFormat>
<formatName>File Geodatabase Feature Class</formatName>
<formatVer>ESRI feature</formatVer>
</distorFormat>
<distorTran>
<onLineSrc>
<linkage>https://www.provincia.perugia.it/aree-tematiche/territorio/ptcp/ptcp-interattivo</linkage>
</onLineSrc>
<onLineSrc>
<linkage>https://www.provincia.perugia.it/aree-tematiche/territorio/ptcp/ptcp-interattivo</linkage>
<protocol>Local Area Network</protocol>
<orDesc>002</orDesc>
<orFunct>
<OnFunctCd value="001"/>
</orFunct>
</onLineSrc>
</distorTran>
</distributor>
<distTranOps>
<onLineSrc>
<linkage>https://www.provincia.perugia.it/aree-tematiche/territorio/ptcp/ptcp-interattivo</linkage>
</onLineSrc>
<onLineSrc>
<linkage>https://www.provincia.perugia.it/aree-tematiche/territorio/ptcp/ptcp-interattivo</linkage>
<orFunct>
<OnFunctCd value="001"/>
</orFunct>
</onLineSrc>
</distTranOps>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle>Allevamenti bovini 2012</resTitle>
<citOnlineRes>
<linkage>https://www.provincia.perugia.it/aree-tematiche/territorio/ptcp/ptcp-interattivo</linkage>
</citOnlineRes>
<date>
<createDate>2022-12-31</createDate>
<pubDate>2022-12-31</pubDate>
</date>
<citId>
<identCode>p_perugia:00000:20221231:000085</identCode>
</citId>
<citRespParty>
<rpIndName>Arch. Mauro Magrini</rpIndName>
<rpOrgName>Provincia di Perugia</rpOrgName>
<rpPosName>Responsabile Ufficio Territorio e Pianificazione</rpPosName>
<role>
<RoleCd value="007"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Allevamenti di bovini nella provincia di Perugia (anno 2012)&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>Allevamenti di bovini nella provincia di Perugia (anno 2012)
</idPurp>
<idCredit>Provincia di Perugia </idCredit>
<idPoC>
<rpIndName>Arch. Mauro Magrini</rpIndName>
<rpOrgName>Provincia di Perugia</rpOrgName>
<rpPosName>Responsabile Ufficio Territorio e Pianificazione</rpPosName>
<rpCntInfo>
<cntAddress addressType="">
<eMailAdd>mauro.magrini@provincia.perugia.it</eMailAdd>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</resMaint>
<themeKeys>
<thesaName>
<resTitle>GEMET - Concepts, version 4.1.3</resTitle>
<citOnlineRes>
<linkage>https://www.eionet.europa.eu/</linkage>
</citOnlineRes>
<date>
<reviseDate>2021-12-06</reviseDate>
</date>
<presForm>
<PresFormCd value="005"/>
</presForm>
</thesaName>
<keyword>Allevamento, allevamento di animali, allevamento di bestiame bovino</keyword>
</themeKeys>
<searchKeys>
<keyword>Provincia di Perugia</keyword>
<keyword>Allevamenti</keyword>
<keyword>allevamenti zootecnici</keyword>
<keyword>bovini</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;La scala ufficiale di rappresentazione è 1:25.000 indicata nella legge 142/90 e dalla L.R. 28/95 e s.m.i. Qualsiasi altra rappresentazione cartografica o uso messo a disposizione dal programma è a discrezione e responsabilità del fruitore. Il dato può essere usato liberamente per scopi tecnici, scientifici e personali, non a fini commerciali. In caso di necessità di pubblicazione e/o altri utilizzi occorre richiedere apposita autorizzazione alla Provincia di Perugia - Ufficio Territorio e Pianificazione&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<resConst>
<LegConsts>
<accessConsts>
<RestrictCd value="008"/>
</accessConsts>
<inspirePublicAccessLimits>
<PublicAccessCd value="001"/>
</inspirePublicAccessLimits>
</LegConsts>
</resConst>
<resConst>
<LegConsts>
<useConsts>
<RestrictCd value="008"/>
</useConsts>
<othConsts>L'utilizzo dei dati è ammesso e auspicato. I dati pubblicati possono essere consultati e scaricati solo per scopi tecnici, scientifici e personali e non a fini commerciali</othConsts>
</LegConsts>
</resConst>
<resConst>
<LegConsts>
<accessConsts>
<RestrictCd value="008"/>
</accessConsts>
<useConsts>
<RestrictCd value="008"/>
</useConsts>
<othConsts>L'utilizzo dei dati è ammesso e auspicato. I dati pubblicati possono essere consultati e scaricati solo per scopi tecnici, scientifici e personali e non a fini commerciali</othConsts>
</LegConsts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="ita"/>
<countryCode Sync="TRUE" value="ITA"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<envirDesc>Esri ArcGIS 13.0.2.36056</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>11.8918873189186</westBL>
<eastBL>13.2641895503866</eastBL>
<southBL>42.3644489025728</southBL>
<northBL>43.6173443846477</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">11.999442</westBL>
<eastBL Sync="TRUE">13.131980</eastBL>
<northBL Sync="TRUE">43.400648</northBL>
<southBL Sync="TRUE">42.622888</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<resConst>
<SecConsts>
<class>
<ClasscationCd value="001"/>
</class>
</SecConsts>
</resConst>
<tpCat>
<TopicCatCd value="001"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
</mdMaint>
<mdConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;La scala ufficiale di rappresentazione è 1:25.000 indicata nella legge 142/90 e dalla L.R. 28/95 e s.m.i. Qualsiasi altra rappresentazione cartografica o uso messo a disposizione dal programma è a discrezione e responsabilità del fruitore. Il dato può essere usato liberamente per scopi tecnici, scientifici e personali, non a fini commerciali. In caso di necessità di pubblicazione e/o altri utilizzi occorre richiedere apposita autorizzazione alla Provincia di Perugia - Ufficio Territorio e Pianificazione&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</mdConst>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQDomConsis">
<measResult>
<ConResult>
<conSpec>
<resTitle>REGOLAMENTO (UE) N. 1089/2010</resTitle>
<date>
<pubDate>2010-12-08</pubDate>
</date>
</conSpec>
<conExpl>Conformità INSPIRE</conExpl>
<conPass>true</conPass>
</ConResult>
</measResult>
</report>
<dataLineage>
<statement>Dati digitalizzati dalla Provincia di Perugia ed elaborati tramite studi effettuati dagli uffici di competenza
</statement>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Allevamenti_bovini_2012">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">120</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem dimension="">
<refSysID>
<identCode code="3857"/>
<idCodeSpace>EPSG</idCodeSpace>
<identVrsn>6.18.3(9.3.1.2)</identVrsn>
<idVersion Sync="TRUE">6.18.3(9.3.1.2)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Allevamenti_bovini_2012">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">120</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
