http://manuals.pqstat.pl/ 2026-04-30T20:37:04+00:00 http://manuals.pqstat.pl/ http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-16T14:19:59+00:00 Anonymous (anonymous@undisclosed.example.com) http://manuals.pqstat.pl/en:przestrzenpl:lokalpl:cutlinepl CutL CutL method was developed to detect clusters that have significantly higher prevalence than that specified by the investigator (Więckowska). As a result, the program locates clusters, examines their statistical significance, and plots them on a map. text/html 2022-02-16T13:58:43+00:00 Anonymous (anonymous@undisclosed.example.com) http://manuals.pqstat.pl/en:przestrzenpl:lokalpl:lgetordpl Local Getis-Ord’s G statistic Getis and Ord's statistic (Getis and Ord 1992, Ord and Getis 1995) allows the detection of a local concentration of high and low values in neighboring objects and studies the statistical significance of that dependence. Getis and Ord have also defined a text/html 2022-02-16T13:52:32+00:00 Anonymous (anonymous@undisclosed.example.com) http://manuals.pqstat.pl/en:przestrzenpl:lokalpl:lmoranpl Local Moran's I statistic Local Moran's I statistic is the most popular analysis from those defined as LISA (Local Indicators of Spatial Association) (Luc Anselin 1995 . In contrast to Global Moran's I statistic it defines the local spacial autocorrelation, i.e. defines the similarity of a spatial unit to its neighbors and studies the statistical significance of that dependence.