Spatial　clustering　is　frequently　used　in　Spatial　Data　Mining.　Spatial　clustering　methods　in　presently　available　literature　have　obvious　limitations　in　solving　spatial　clustering　problems.　On　the　basis　of　comparing　and　analyzing　the　capability　of　each　spatial　clustering　method,　a　new　one　based　on　field　model　is　put　forward　according　to　the　particularity　of　spatial　clustering　(complexity　in　cluster　shape　and　multi-scale-property　in　cluster　structure),　so　as　to　solve　all　kinds　of　problems　of　presently　spatial　clustering　research　which　organizes　data　with　object　model　and　represents　continuous　space　with　discrete　entities,　and　make　it　be　adapted　to　representation　of　complicated　spatial　clustering　structure.　©　2010　IEEE.