{"id":30,"date":"2015-04-24T08:55:37","date_gmt":"2015-04-24T15:55:37","guid":{"rendered":"https:\/\/blogs.ubc.ca\/oilsandsgis\/?page_id=30"},"modified":"2015-05-01T16:19:41","modified_gmt":"2015-05-01T23:19:41","slug":"geographically-weighted-regression","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/oilsandsgis\/methodology\/geographically-weighted-regression\/","title":{"rendered":"Geographically Weighted Regression"},"content":{"rendered":"<h3>Exploratory Regression<\/h3>\n<div id=\"attachment_23\" style=\"width: 661px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-23\" class=\"wp-image-23 size-full\" src=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp.png\" alt=\"Exploratory Regression results with all 8 census variables\" width=\"651\" height=\"592\" srcset=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp.png 651w, https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp-300x273.png 300w\" sizes=\"auto, (max-width: 651px) 100vw, 651px\" \/><\/a><p id=\"caption-attachment-23\" class=\"wp-caption-text\">Exploratory Regression results with all 8 census variables<\/p><\/div>\n<div id=\"attachment_24\" style=\"width: 310px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp2.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-24\" class=\"size-medium wp-image-24\" src=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp2-300x112.png\" alt=\"Significance of Variables\" width=\"300\" height=\"112\" srcset=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp2-300x112.png 300w, https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/exp2.png 364w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><p id=\"caption-attachment-24\" class=\"wp-caption-text\">Significance of Variables<\/p><\/div>\n<p>Chosen Explanatory Variables: Education, Immigrants, Visible Minority<\/p>\n<h3>Geographically Weighted Regression<\/h3>\n<p>After completing an OLS model, a GWR was performed with the dependent variable (Density of Incidences) and the 3 chosen Explanatory variables (Education, Immigrants, and Visible Minority) to\u00a0 fit a local regression equation for each feature (DA). GWR was completed with an Adaptive kernel type, and an AICc bandwidth. Coefficient raster surfaces were manually made by converting DA polygons to rasters (cell size 50) and displayed in stretched symbology &#8211; Standard Deviation.<\/p>\n<p>&nbsp;<\/p>\n<h2>Additional Census Variables<\/h2>\n<p>An Exploratory Regression was repeated to include additional census variables:\u00a0% Labour Force by Industry: Mining, quarrying, and oil and gas extraction, % Labour Force by Occupation: Natural resources, agriculture and related production occupation and % Labour Force by Industry: Agriculture, forestry, fishing and hunting.<\/p>\n<div id=\"attachment_95\" style=\"width: 678px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/KDCrudeExplr.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-95\" class=\"wp-image-95 size-full\" src=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/KDCrudeExplr.png\" alt=\"Exploratory Regression with Additional Variables\" width=\"668\" height=\"957\" srcset=\"https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/KDCrudeExplr.png 668w, https:\/\/blogs.ubc.ca\/oilsandsgis\/files\/2015\/04\/KDCrudeExplr-209x300.png 209w\" sizes=\"auto, (max-width: 668px) 100vw, 668px\" \/><\/a><p id=\"caption-attachment-95\" class=\"wp-caption-text\">Exploratory Regression with Additional Variables<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Chosen Explanatory Variables: Education, Immigrants, Mining Industry, Natural Resources and Agriculture<\/p>\n<p>An OLS and GWR were completed once again following the same parameters as specified above.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Exploratory Regression Chosen Explanatory Variables: Education, Immigrants, Visible Minority Geographically Weighted Regression After completing an OLS model, a GWR was performed with the dependent variable (Density of Incidences) and the 3 chosen Explanatory variables (Education, Immigrants, and Visible Minority) to\u00a0 fit a local regression equation for each feature (DA). GWR was completed with an Adaptive [&hellip;]<\/p>\n","protected":false},"author":28226,"featured_media":0,"parent":13,"menu_order":2,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-30","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/pages\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/users\/28226"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":6,"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":235,"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/pages\/30\/revisions\/235"}],"up":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/pages\/13"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/oilsandsgis\/wp-json\/wp\/v2\/media?parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}