"RIV/68407700:21260/05:06113346" . . "Hrube\u0161, Pavel" . "23 ; 34" . "1" . "Recognition of Geographical Information System Layers" . "12"^^ . . "In this paper is presented the idea of GIS layers semantic recognition methodology. The aim was to evaluate a possibility of GIS layer recognition based on spatial analyze and perform tests which validate proposed methodology. Final interest was to develop a GIS layer classifier and evaluate its function for independent data set. In my approach to the classification of GIS data layers I use methods based on nearest neighbor and histogram of distance matrix. The reasons for such solution are in good complexity of spatial data description and in implementation of these algorithms under statistics software. In the range of experiment tests I developed the methodology for classification and I verified, that is possible to recognize the spatial layer via spatial statistic. Then I developed the classifier based on the Kohonen\u00B4s Self Organization Maps and evaluated it on test set." . "15" . . "Recognition of Geographical Information System Layers"@en . . "GIS; Layer recognition; Spatial analyze"@en . . . "Neural Network World" . "In this paper is presented the idea of GIS layers semantic recognition methodology. The aim was to evaluate a possibility of GIS layer recognition based on spatial analyze and perform tests which validate proposed methodology. Final interest was to develop a GIS layer classifier and evaluate its function for independent data set. In my approach to the classification of GIS data layers I use methods based on nearest neighbor and histogram of distance matrix. The reasons for such solution are in good complexity of spatial data description and in implementation of these algorithms under statistics software. In the range of experiment tests I developed the methodology for classification and I verified, that is possible to recognize the spatial layer via spatial statistic. Then I developed the classifier based on the Kohonen\u00B4s Self Organization Maps and evaluated it on test set."@en . "P(1K04102)" . . . . "540315" . "Geografick\u00E9 informa\u010Dn\u00ED syst\u00E9my jsou n\u00E1strojem pro uchov\u00E1n\u00ED a vyu\u017Eit\u00ED prostorov\u00E9ho uspo\u0159\u00E1d\u00E1n\u00ED tematick\u00FDch vrstev sledovan\u00FDch objekt\u016F. Dosavadn\u00ED p\u0159\u00EDstupy k vytvo\u0159en\u00ED obrazu re\u00E1ln\u00E9ho sv\u011Bta byly v\u017Edy sm\u011B\u0159ov\u00E1ny k dostate\u010Dn\u00E9 jednoduchosti a prostorov\u00E9 p\u0159esnosti zachycen\u00ED vzhledem k aplikaci, pro ne\u017E byla data po\u0159izov\u00E1na. Rozvoj hardwarov\u00FDch komponent informa\u010Dn\u00EDch syst\u00E9mu p\u0159inesl mo\u017Enost opomenut\u00ED jednoduchosti a nahrazuje-ji slo\u017Eit\u011Bj\u0161\u00EDmi formami, v p\u0159\u00EDpad\u011B GIS t\u0159\u00EDrozm\u011Brn\u00FDm modelem. Tento p\u0159\u00EDsp\u011Bvek je v\u011Bnov\u00E1n konceptu p\u0159evodu st\u00E1vaj\u00EDc\u00EDch GIS datov\u00FDch zdroj\u016F do t\u0159\u00EDrozm\u011Brn\u00E9ho modelu, se zac\u00EDlen\u00EDm na rozpozn\u00E1van\u00ED s\u00E9mantick\u00E9ho obsahu GIS vrstev jako prost\u0159edku pro automatizaci tohoto procesu. V pr\u00E1ci je navr\u017Eena metodika rozpozn\u00E1v\u00E1n\u00ED GIS vrstvy na z\u00E1klad\u011B prostorov\u00E9 anal\u00FDzy a jej\u00ED ov\u011B\u0159en\u00ED klasifika\u010Dn\u00EDmi metodami na re\u00E1ln\u00FDch datech z m\u011Bstsk\u00FDch \u010D\u00E1st\u00ED Prahy."@cs . "[3140A7C0917A]" . "1"^^ . "Recognition of Geographical Information System Layers" . "Rozpozn\u00E1v\u00E1n\u00ED GIS vrstev na z\u00E1klad\u011B prostorov\u00E9 anal\u00FDzy"@cs . "Recognition of Geographical Information System Layers"@en . "Rozpozn\u00E1v\u00E1n\u00ED GIS vrstev na z\u00E1klad\u011B prostorov\u00E9 anal\u00FDzy"@cs . "1"^^ . . "CZ - \u010Cesk\u00E1 republika" . . . "1210-0552" . . "21260" . "RIV/68407700:21260/05:06113346!RIV06-MSM-21260___" . . .