{"id":5508,"date":"2015-09-29T11:42:17","date_gmt":"2015-09-29T10:42:17","guid":{"rendered":"http:\/\/emilkirkegaard.dk\/en\/?p=5508"},"modified":"2015-09-29T11:42:17","modified_gmt":"2015-09-29T10:42:17","slug":"new-working-paper-some-methods-for-analyzing-and-correcting-for-spatial-autocorrelation","status":"publish","type":"post","link":"https:\/\/emilkirkegaard.dk\/en\/2015\/09\/new-working-paper-some-methods-for-analyzing-and-correcting-for-spatial-autocorrelation\/","title":{"rendered":"New working paper: Some methods for analyzing and correcting for spatial autocorrelation"},"content":{"rendered":"<div class=\"post_body\">Post your review over at the OP forum: http:\/\/openpsych.net\/forum\/showthread.php?tid=251<\/div>\n<div class=\"post_body\"><\/div>\n<div id=\"pid_3647\" class=\"post_body\"><strong>Title:<\/strong><br \/>\nSome methods for analyzing and correcting for spatial autocorrelation<\/p>\n<p><strong>Authors:<\/strong><br \/>\nEmil O. W. Kirkegaard<\/p>\n<p><strong>Abstract<\/strong><br \/>\nA method for examining spatial autocorrelation based on distance scores was examined and found to be deficient. Because of this an alternative measure was proposed: k nearest spatial neighbor regression. Methods were examined across simulated datasets to see if they could successfully remove SAC and distinguish between a true and a spurious cause. Furthermore, the methods were compared to a more traditional measure of spatial autocorrelation, Moran&#8217;s I.<\/p>\n<p><strong>Key words:<\/strong> spatial autocorrelation, Moran&#8217;s I, correlation of distances, k nearest spatial neighbor, knsn<\/p>\n<p><strong>PDF + files:<\/strong> <a href=\"https:\/\/osf.io\/ea2bm\/\" target=\"_blank\">https:\/\/osf.io\/ea2bm\/<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Post your review over at the OP forum: http:\/\/openpsych.net\/forum\/showthread.php?tid=251 Title: Some methods for analyzing and correcting for spatial autocorrelation Authors: Emil O. W. Kirkegaard Abstract A method for examining spatial autocorrelation based on distance scores was examined and found to be deficient. Because of this an alternative measure was proposed: k nearest spatial neighbor regression. [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1766],"tags":[2226],"class_list":["post-5508","post","type-post","status-publish","format-standard","hentry","category-math-science","tag-spatial-autocorrelation","entry"],"_links":{"self":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5508","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/comments?post=5508"}],"version-history":[{"count":1,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5508\/revisions"}],"predecessor-version":[{"id":5509,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/posts\/5508\/revisions\/5509"}],"wp:attachment":[{"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/media?parent=5508"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/categories?post=5508"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/emilkirkegaard.dk\/en\/wp-json\/wp\/v2\/tags?post=5508"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}