<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-FVP0P5OU</identifier><date>2023</date><creator>Yao, Yuzhuo</creator><relation>documents/doc/F/URN_NBN_SI_doc-FVP0P5OU_001.pdf</relation><relation>documents/doc/F/URN_NBN_SI_doc-FVP0P5OU_001.txt</relation><format format_type="issue">2</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 183-191</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v47i2.4028</identifier><identifier identifier_type="COBISSID">196288771</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-FVP0P5OU</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">GIS</subject><subject language_type_id="slv">konsolidacija zemljišč</subject><subject language_type_id="slv">metode</subject><subject language_type_id="slv">prostorsko gručenje</subject><subject language_type_id="slv">prostorsko načrtovanje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Design of ecological land remediation planning and remediation mode based on spatial clustering algorithm</title></Record>