{"id":45513,"date":"2015-07-07T19:08:09","date_gmt":"2015-07-08T00:08:09","guid":{"rendered":"https:\/\/gisgeography.com\/?p=45513"},"modified":"2025-05-29T20:30:21","modified_gmt":"2025-05-30T01:30:21","slug":"maup-modifiable-areal-unit-problem","status":"publish","type":"post","link":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/","title":{"rendered":"MAUP &#8211; Modifiable Areal Unit Problem"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"500\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg\" alt=\"MAUP Scale Effect\" class=\"wp-image-97467\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg 1000w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-300x150.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-678x339.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-768x384.jpg 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n<\/div>\n\n<style>.kadence-column45513_b98073-d413 > .kt-inside-inner-col{display:flex;}.kadence-column45513_b98073-d413 > .kt-inside-inner-col{padding-top:var(--global-kb-spacing-xs, 1rem);padding-right:var(--global-kb-spacing-xs, 1rem);padding-bottom:var(--global-kb-spacing-xs, 1rem);padding-left:var(--global-kb-spacing-xs, 1rem);}.kadence-column45513_b98073-d413 > .kt-inside-inner-col{border-top:1px solid #d3d3d3;border-right:1px solid #d3d3d3;border-bottom:1px solid #d3d3d3;border-left:1px solid #d3d3d3;}.kadence-column45513_b98073-d413 > .kt-inside-inner-col,.kadence-column45513_b98073-d413 > .kt-inside-inner-col:before{border-top-left-radius:10px;border-top-right-radius:10px;border-bottom-right-radius:10px;border-bottom-left-radius:10px;}.kadence-column45513_b98073-d413 > .kt-inside-inner-col{row-gap:var(--global-kb-gap-none, 0rem );column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column45513_b98073-d413 > .kt-inside-inner-col{flex-direction:column;}.kadence-column45513_b98073-d413 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column45513_b98073-d413 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column45513_b98073-d413{position:relative;}.kadence-column45513_b98073-d413, .kt-inside-inner-col > .kadence-column45513_b98073-d413:not(.specificity){margin-top:var(--global-kb-spacing-md, 2rem);margin-bottom:var(--global-kb-spacing-md, 2rem);}@media all and (max-width: 1024px){.kadence-column45513_b98073-d413 > .kt-inside-inner-col{border-top:1px solid #d3d3d3;border-right:1px solid #d3d3d3;border-bottom:1px solid #d3d3d3;border-left:1px solid #d3d3d3;flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column45513_b98073-d413 > .kt-inside-inner-col{border-top:1px solid #d3d3d3;border-right:1px solid #d3d3d3;border-bottom:1px solid #d3d3d3;border-left:1px solid #d3d3d3;flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column45513_b98073-d413\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311, .wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311[data-kb-block=\"kb-adv-heading45513_822d34-7311\"]{padding-bottom:0px;margin-bottom:var(--global-kb-spacing-xxs, 0.5rem);font-size:16px;font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311[data-kb-block=\"kb-adv-heading45513_822d34-7311\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading45513_822d34-7311[data-kb-block=\"kb-adv-heading45513_822d34-7311\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading45513_822d34-7311 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading45513_822d34-7311\"><strong>DEFINITION:<\/strong><\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12, .wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12[data-kb-block=\"kb-adv-heading45513_8fe0b9-7e12\"]{font-size:16px;font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12[data-kb-block=\"kb-adv-heading45513_8fe0b9-7e12\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading45513_8fe0b9-7e12[data-kb-block=\"kb-adv-heading45513_8fe0b9-7e12\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading45513_8fe0b9-7e12 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading45513_8fe0b9-7e12\"><strong>MAUP (Modifiable Areal Unit Problem)<\/strong> is a source of statistical bias that happens when <strong>spatial data is grouped differently<\/strong>, leading to <strong>different results<\/strong> from the same data.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\">What Is the Modifiable Areal Unit Problem (MAUP)?<\/h2>\n\n\n\n<p>The <strong>modifiable areal unit problem (MAUP)<\/strong> is a statistical bias that occurs when you aggregate point data. There are two types of biases for the MAUP:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Scale effect<\/li>\n\n\n\n<li>Zonal effect<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity is-style-default\"\/>\n\n\n\n<blockquote class=\"wp-block-quote has-text-align-center is-style-large is-layout-flow wp-block-quote-is-layout-flow\">\n<p style=\"font-size:23px\">The Modifiable Areal Unit Problem (MAUP) is an issue in GIS where the results of spatial analysis can vary based on the arbitrary delineation of geographic units, highlighting the sensitivity of analysis to the choice of spatial boundaries.<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity is-style-default\"\/>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Scale Effect<\/h3>\n\n\n\n<p>The scale effect occurs when maps show different analytical results at <strong>different levels of aggregation<\/strong>. Despite using the same points, each successive smaller unit consequently changes the pattern.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"339\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-678x339.jpg\" alt=\"MAUP Scale Effect\" class=\"wp-image-97467\" style=\"width:413px;height:206px\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-678x339.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-300x150.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-768x384.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg 1000w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n<\/div>\n\n\n<p>The scale effect can yield different results based on the size of the boundary. As you move from higher to lower aggregation levels yields different results, each level of aggregation paints a different picture.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Zonal Effect<\/h3>\n\n\n\n<p>The zonal effect occurs when you group data by various artificial boundaries. In this type of MAUP error, each subsequent boundary yields <strong>major analytical differences<\/strong>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"339\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Zone-Effect-678x339.jpg\" alt=\"MAUP Zone Effect\" class=\"wp-image-97471\" style=\"width:500px\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Zone-Effect-678x339.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Zone-Effect-300x150.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Zone-Effect-768x384.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Zone-Effect.jpg 1000w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n<\/div>\n\n\n<p>For example, here are points aggregated at a county level. But when you aggregate at a state level, it produces different visible results.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Gerrymandering and Redistricting<\/h3>\n\n\n\n<p>The zonal effect can occur by accident or on purpose. For example, this can occur when a political party wants to favor an election by<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"237\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-678x237.png\" alt=\"MAUP Gerrymeandering\" class=\"wp-image-45523\" style=\"width:509px;height:178px\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-678x237.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-300x105.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-768x269.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-50x18.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-200x70.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-425x149.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-550x193.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-115x40.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-1265x443.png 1265w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering-360x126.png 360w, https:\/\/gisgeography.com\/wp-content\/uploads\/2020\/11\/MAUP-Gerrymeandering.png 1500w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n<\/div>\n\n\n<p>As an example in the diagram above, you can manipulate any of the political boundaries below to favor either blue or red. This is how to rig an election so it&#8217;s in favor of one political party.<\/p>\n\n\n\n<p><strong>Gerrymandering<\/strong> &#8211; Manipulation of electoral districts for political gain.<br><strong>Redistricting<\/strong> &#8211; Changing the boundary lines for electoral districts such as with the <a href=\"https:\/\/gisgeography.com\/esri-redistricting\/\">Esri Redistricting<\/a> extension.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>The Modifiable Areal Unit Problem (MAUP) occurs by aggregating data and <strong>representing it with bias<\/strong> at different scales or boundary extents.<\/p>\n\n\n\n<p>Despite being essentially an unsolvable issue, you can help map readers by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Stating the scale of aggregation.<\/li>\n\n\n\n<li>Representing it at multiple scales simultaneously.<\/li>\n<\/ul>\n\n\n\n<p>As described in the book <strong><em>&#8220;How To Lie With Maps&#8221;<\/em><\/strong>, mapmakers &#8211; consciously or unconsciously &#8211; can present only one of many possible stories about the places it depicts.<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.<\/p>\n","protected":false},"author":2,"featured_media":97467,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[90],"tags":[430],"class_list":["post-45513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gis-analysis","tag-gis-concepts"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAUP - Modifiable Areal Unit Problem - GIS Geography<\/title>\n<meta name=\"description\" content=\"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MAUP - Modifiable Areal Unit Problem - GIS Geography\" \/>\n<meta property=\"og:description\" content=\"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/\" \/>\n<meta property=\"og:site_name\" content=\"GIS Geography\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/gisgeography\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/gisgeography\" \/>\n<meta property=\"article:published_time\" content=\"2015-07-08T00:08:09+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-30T01:30:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"GISGeography\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@https:\/\/twitter.com\/GisGeography\" \/>\n<meta name=\"twitter:site\" content=\"@GisGeography\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"GISGeography\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/\"},\"author\":{\"name\":\"GISGeography\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/person\\\/9e7385da3acea92bc45d45be5dfe191e\"},\"headline\":\"MAUP &#8211; Modifiable Areal Unit Problem\",\"datePublished\":\"2015-07-08T00:08:09+00:00\",\"dateModified\":\"2025-05-30T01:30:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/\"},\"wordCount\":388,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/07\\\/MAUP-Scale-Effect.jpg\",\"keywords\":[\"GIS Concepts\"],\"articleSection\":[\"GIS Analysis\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/\",\"name\":\"MAUP - Modifiable Areal Unit Problem - GIS Geography\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/07\\\/MAUP-Scale-Effect.jpg\",\"datePublished\":\"2015-07-08T00:08:09+00:00\",\"dateModified\":\"2025-05-30T01:30:21+00:00\",\"description\":\"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#primaryimage\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/07\\\/MAUP-Scale-Effect.jpg\",\"contentUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/07\\\/MAUP-Scale-Effect.jpg\",\"width\":1000,\"height\":500,\"caption\":\"MAUP Scale Effect\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maup-modifiable-areal-unit-problem\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/gisgeography.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"GIS Analysis\",\"item\":\"https:\\\/\\\/gisgeography.com\\\/category\\\/gis-analysis\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"MAUP &#8211; Modifiable Areal Unit Problem\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#website\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/\",\"name\":\"GIS Geography\",\"description\":\"Geographic Information Systems\",\"publisher\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/gisgeography.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\",\"name\":\"GIS Geography\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/11\\\/cropped-GIS-Geography-Logo0.png\",\"contentUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/11\\\/cropped-GIS-Geography-Logo0.png\",\"width\":500,\"height\":100,\"caption\":\"GIS Geography\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/gisgeography\",\"https:\\\/\\\/x.com\\\/GisGeography\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/person\\\/9e7385da3acea92bc45d45be5dfe191e\",\"name\":\"GISGeography\",\"description\":\"We help you learn Geographic Information Systems and remote sensing\",\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/gisgeography\",\"https:\\\/\\\/x.com\\\/https:\\\/\\\/twitter.com\\\/GisGeography\"],\"url\":\"https:\\\/\\\/gisgeography.com\\\/author\\\/gisgeo\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"MAUP - Modifiable Areal Unit Problem - GIS Geography","description":"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/","og_locale":"en_US","og_type":"article","og_title":"MAUP - Modifiable Areal Unit Problem - GIS Geography","og_description":"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.","og_url":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/","og_site_name":"GIS Geography","article_publisher":"https:\/\/www.facebook.com\/gisgeography","article_author":"https:\/\/www.facebook.com\/gisgeography","article_published_time":"2015-07-08T00:08:09+00:00","article_modified_time":"2025-05-30T01:30:21+00:00","og_image":[{"width":1000,"height":500,"url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg","type":"image\/jpeg"}],"author":"GISGeography","twitter_card":"summary_large_image","twitter_creator":"@https:\/\/twitter.com\/GisGeography","twitter_site":"@GisGeography","twitter_misc":{"Written by":"GISGeography","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#article","isPartOf":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/"},"author":{"name":"GISGeography","@id":"https:\/\/gisgeography.com\/#\/schema\/person\/9e7385da3acea92bc45d45be5dfe191e"},"headline":"MAUP &#8211; Modifiable Areal Unit Problem","datePublished":"2015-07-08T00:08:09+00:00","dateModified":"2025-05-30T01:30:21+00:00","mainEntityOfPage":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/"},"wordCount":388,"commentCount":0,"publisher":{"@id":"https:\/\/gisgeography.com\/#organization"},"image":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#primaryimage"},"thumbnailUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg","keywords":["GIS Concepts"],"articleSection":["GIS Analysis"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/","url":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/","name":"MAUP - Modifiable Areal Unit Problem - GIS Geography","isPartOf":{"@id":"https:\/\/gisgeography.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#primaryimage"},"image":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#primaryimage"},"thumbnailUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg","datePublished":"2015-07-08T00:08:09+00:00","dateModified":"2025-05-30T01:30:21+00:00","description":"The modifiable areal unit problem (MAUP) is a statistical bias that occurs when you aggregate point data such as the scale and zonal effect.","breadcrumb":{"@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#primaryimage","url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg","contentUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect.jpg","width":1000,"height":500,"caption":"MAUP Scale Effect"},{"@type":"BreadcrumbList","@id":"https:\/\/gisgeography.com\/maup-modifiable-areal-unit-problem\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/gisgeography.com\/"},{"@type":"ListItem","position":2,"name":"GIS Analysis","item":"https:\/\/gisgeography.com\/category\/gis-analysis\/"},{"@type":"ListItem","position":3,"name":"MAUP &#8211; Modifiable Areal Unit Problem"}]},{"@type":"WebSite","@id":"https:\/\/gisgeography.com\/#website","url":"https:\/\/gisgeography.com\/","name":"GIS Geography","description":"Geographic Information Systems","publisher":{"@id":"https:\/\/gisgeography.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/gisgeography.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/gisgeography.com\/#organization","name":"GIS Geography","url":"https:\/\/gisgeography.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/gisgeography.com\/#\/schema\/logo\/image\/","url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/11\/cropped-GIS-Geography-Logo0.png","contentUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/11\/cropped-GIS-Geography-Logo0.png","width":500,"height":100,"caption":"GIS Geography"},"image":{"@id":"https:\/\/gisgeography.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/gisgeography","https:\/\/x.com\/GisGeography"]},{"@type":"Person","@id":"https:\/\/gisgeography.com\/#\/schema\/person\/9e7385da3acea92bc45d45be5dfe191e","name":"GISGeography","description":"We help you learn Geographic Information Systems and remote sensing","sameAs":["https:\/\/www.facebook.com\/gisgeography","https:\/\/x.com\/https:\/\/twitter.com\/GisGeography"],"url":"https:\/\/gisgeography.com\/author\/gisgeo\/"}]}},"taxonomy_info":{"category":[{"value":90,"label":"GIS Analysis"}],"post_tag":[{"value":430,"label":"GIS Concepts"}]},"featured_image_src_large":["https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/07\/MAUP-Scale-Effect-678x339.jpg",678,339,true],"author_info":{"display_name":"GISGeography","author_link":"https:\/\/gisgeography.com\/author\/gisgeo\/"},"comment_info":7,"category_info":[{"term_id":90,"name":"GIS Analysis","slug":"gis-analysis","term_group":0,"term_taxonomy_id":91,"taxonomy":"category","description":"","parent":0,"count":124,"filter":"raw","cat_ID":90,"category_count":124,"category_description":"","cat_name":"GIS Analysis","category_nicename":"gis-analysis","category_parent":0}],"tag_info":[{"term_id":430,"name":"GIS Concepts","slug":"gis-concepts","term_group":0,"term_taxonomy_id":432,"taxonomy":"post_tag","description":"","parent":0,"count":32,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/45513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/comments?post=45513"}],"version-history":[{"count":20,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/45513\/revisions"}],"predecessor-version":[{"id":97931,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/45513\/revisions\/97931"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/media\/97467"}],"wp:attachment":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/media?parent=45513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/categories?post=45513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/tags?post=45513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}