. . "3"^^ . "Distribution of employers in Bruntal district"@en . . . . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . . . "1-12" . "\u0160imek, Milan" . "The study of spatial distribution of employers and job offers with connection to salaries was provided for Bruntal district. The district is characteristic both by the worst level of salaries and high level of unemployment. Different methods of visualisation namely kernel estimates and 3D views were applied. Labour Office provided data. Information about employers covers all subjects with 50 employees and more and selected smaller firms. For localisation of these subjects we used their addresses. The distribution is not homogenous, the most important centres are represented by Bruntal and Krnov towns. A close position of employees (represented by symbols) in large towns negatively influences the visualisation process. This is the main reason for testing and application of kernel estimates. We tested results of different parameters (cell size, bandwidth) and recommend using bandwidth of 1000 m. For the same time, the situation in unemployment is evaluated. Unsatisfied distribution of labour force and j"@en . . . "1213-2454" . "Distribution of employers in Bruntal district"@en . "RIV/61989100:27350/04:00011050" . . "[568361866435]" . "RIV/61989100:27350/04:00011050!RIV/2005/GA0/273505/N" . . . . "Distribuce zam\u011Bstnavatel\u016F v okrese Brunt\u00E1l"@cs . "560827" . "2004-01-27+01:00"^^ . "Distribuce zam\u011Bstnavatel\u016F v okrese Brunt\u00E1l"@cs . . "12"^^ . . . "Distribuce zam\u011Bstnavatel\u016F v okrese Brunt\u00E1l" . "Distribuce zam\u011Bstnavatel\u016F v okrese Brunt\u00E1l" . "Studium prostorov\u00E9 distribuce zam\u011Bstnavatel\u016F a pracovn\u00EDch m\u00EDst s ohledem na platov\u00E9 podm\u00EDnky je prov\u00E1d\u011Bno pro \u00FAzem\u00ED okresu Brunt\u00E1l. Tento okres pat\u0159\u00ED k okres\u016Fm s dlouhodob\u011B nejhor\u0161\u00EDmi pr\u016Fm\u011Brn\u00FDmi platy a vysokou m\u00EDrou nezam\u011Bstnanosti. P\u0159itom jsou pou\u017E\u00EDv\u00E1ny r\u016Fzn\u00E9 formy vizualizace dat s vyu\u017Eit\u00EDm j\u00E1drov\u00FDch odhad\u016F a 3D pohled\u016F. \u00DAdaje o zam\u011Bstnavatel\u00EDch byly p\u0159evzaty z monitoringu \u00FA\u0159adu pr\u00E1ce. Ke zpracov\u00E1n\u00ED byly vyu\u017Eity informace o v\u0161ech zam\u011Bstnavatel\u00EDch s v\u00EDce jak 50 zam\u011Bstnanci a vybran\u00FDch dal\u0161\u00EDch firm\u00E1ch s v\u00FDznamnou pozic\u00ED v mikroregionu, co\u017E m\u00E1 v\u00FDznam p\u0159edev\u0161\u00EDm v \u010Dlenit\u00E9 \u010D\u00E1sti okresu. Lokalizace firem byla provedena podle adres. Distribuce zam\u011Bstnavatel\u016F je dosti nerovnom\u011Brn\u00E1, nejv\u00FDznamn\u011Bj\u0161\u00EDmi centry jsou Krnov a Brunt\u00E1l. Bl\u00EDzkost jednotliv\u00FDch zam\u011Bstnavatel\u016F ve velk\u00FDch m\u011Bstech znesnad\u0148uje vizualizaci situace. Z tohoto d\u016Fvodu byly k vizualizaci vyu\u017Eity i j\u00E1drov\u00E9 odhady, kter\u00E9 dovoluj\u00ED p\u0159en\u00E9st vhodn\u00FDm zp\u016Fsobem informaci vzta\u017Eenou k bodov\u00E9 reprezentaci do spojit\u00E9ho plo\u0161n\u00E9ho vyj\u00E1d\u0159en\u00ED. K v\u00FDpo\u010Dtu bylo vyu\u017Ei"@cs . . "Hor\u00E1k, Ji\u0159\u00ED" . . "Sborn\u00EDk z konference GIS Ostrava 2004" . "27350" . "Studium prostorov\u00E9 distribuce zam\u011Bstnavatel\u016F a pracovn\u00EDch m\u00EDst s ohledem na platov\u00E9 podm\u00EDnky je prov\u00E1d\u011Bno pro \u00FAzem\u00ED okresu Brunt\u00E1l. Tento okres pat\u0159\u00ED k okres\u016Fm s dlouhodob\u011B nejhor\u0161\u00EDmi pr\u016Fm\u011Brn\u00FDmi platy a vysokou m\u00EDrou nezam\u011Bstnanosti. P\u0159itom jsou pou\u017E\u00EDv\u00E1ny r\u016Fzn\u00E9 formy vizualizace dat s vyu\u017Eit\u00EDm j\u00E1drov\u00FDch odhad\u016F a 3D pohled\u016F. \u00DAdaje o zam\u011Bstnavatel\u00EDch byly p\u0159evzaty z monitoringu \u00FA\u0159adu pr\u00E1ce. Ke zpracov\u00E1n\u00ED byly vyu\u017Eity informace o v\u0161ech zam\u011Bstnavatel\u00EDch s v\u00EDce jak 50 zam\u011Bstnanci a vybran\u00FDch dal\u0161\u00EDch firm\u00E1ch s v\u00FDznamnou pozic\u00ED v mikroregionu, co\u017E m\u00E1 v\u00FDznam p\u0159edev\u0161\u00EDm v \u010Dlenit\u00E9 \u010D\u00E1sti okresu. Lokalizace firem byla provedena podle adres. Distribuce zam\u011Bstnavatel\u016F je dosti nerovnom\u011Brn\u00E1, nejv\u00FDznamn\u011Bj\u0161\u00EDmi centry jsou Krnov a Brunt\u00E1l. Bl\u00EDzkost jednotliv\u00FDch zam\u011Bstnavatel\u016F ve velk\u00FDch m\u011Bstech znesnad\u0148uje vizualizaci situace. Z tohoto d\u016Fvodu byly k vizualizaci vyu\u017Eity i j\u00E1drov\u00E9 odhady, kter\u00E9 dovoluj\u00ED p\u0159en\u00E9st vhodn\u00FDm zp\u016Fsobem informaci vzta\u017Eenou k bodov\u00E9 reprezentaci do spojit\u00E9ho plo\u0161n\u00E9ho vyj\u00E1d\u0159en\u00ED. K v\u00FDpo\u010Dtu bylo vyu\u017Ei" . "Hor\u00E1kov\u00E1, Bronislava" . "P(GA402/02/0855)" . "3"^^ . . "Ostrava" . . . . "labour market;regional analysis;spatial data;GIS;geoinformatics;statistics;unemployment;analysis;"@en . . "Ostrava" .