{"id":247,"date":"2013-04-22T19:02:29","date_gmt":"2013-04-22T19:02:29","guid":{"rendered":"http:\/\/blogs.oregonstate.edu\/geo599spatialstatistics\/?p=247"},"modified":"2013-04-28T20:35:25","modified_gmt":"2013-04-29T03:35:25","slug":"incremental-spatial-autocorrelation","status":"publish","type":"post","link":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/2013\/04\/22\/incremental-spatial-autocorrelation\/","title":{"rendered":"Incremental Spatial Autocorrelation"},"content":{"rendered":"<p>Incremental spatial autocorrelation (ISA) uses Moran\u2019s I to test for spatial autocorrelation within distance bands. Analysis is run on a given parameter (eg. percent cover, elevation).<\/p>\n<p><strong>Interpratation<\/strong><\/p>\n<ul>\n<li>ISA returns z-score and p-values<\/li>\n<li>Significant p-value indicates spatial clumping<\/li>\n<li>Non-significant p-value indicates random processes at work<\/li>\n<li>Indicates significant peaks in z-score<\/li>\n<li>Higher z-score indicates more spatial clumping<\/li>\n<li>Distance of first peak in z-score usually used for further analysis<\/li>\n<li>Useful for determining the appropriate scale for further analysis<\/li>\n<li>Hot Spot Analysis<\/li>\n<li>Density tools which ask for a radius<\/li>\n<li>Determine whether a subsample should be taken\u00a0to remove autocorrelation<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-339\" alt=\"AGST_Coos_lowres\" src=\"http:\/\/blogs.oregonstate.edu\/geo599spatialstatistics\/files\/2013\/04\/AGST_Coos_lowres-231x300.jpg\" width=\"231\" height=\"300\" srcset=\"https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_Coos_lowres-231x300.jpg 231w, https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_Coos_lowres-791x1024.jpg 791w, https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_Coos_lowres.jpg 1700w\" sizes=\"auto, (max-width: 231px) 100vw, 231px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-340\" alt=\"AGST_ISA_graph\" src=\"http:\/\/blogs.oregonstate.edu\/geo599spatialstatistics\/files\/2013\/04\/AGST_ISA_graph-300x209.jpg\" width=\"300\" height=\"209\" srcset=\"https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_ISA_graph-300x209.jpg 300w, https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_ISA_graph-1024x716.jpg 1024w, https:\/\/osu-wams-blogs-uploads.s3.amazonaws.com\/blogs.dir\/1572\/files\/2013\/04\/AGST_ISA_graph.jpg 1136w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Incremental spatial autocorrelation (ISA) uses Moran\u2019s I to test for spatial autocorrelation within distance bands. Analysis is run on a given parameter (eg. percent cover, elevation). Interpratation ISA returns z-score and p-values Significant p-value indicates spatial clumping Non-significant p-value indicates random processes at work Indicates significant peaks in z-score Higher z-score indicates more spatial clumping&hellip; <a href=\"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/2013\/04\/22\/incremental-spatial-autocorrelation\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":5006,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-247","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/posts\/247","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/users\/5006"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/comments?post=247"}],"version-history":[{"count":4,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/posts\/247\/revisions"}],"predecessor-version":[{"id":257,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/posts\/247\/revisions\/257"}],"wp:attachment":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/media?parent=247"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/categories?post=247"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/geo599spatialstatistics\/wp-json\/wp\/v2\/tags?post=247"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}