{"id":7531,"date":"2026-09-21T18:55:39","date_gmt":"2026-09-21T23:55:39","guid":{"rendered":"https:\/\/sites.owu.edu\/geog-291\/?p=7531"},"modified":"2026-09-21T18:55:39","modified_gmt":"2026-09-21T23:55:39","slug":"jan-week-4","status":"publish","type":"post","link":"https:\/\/sites.owu.edu\/geog-291\/2026\/09\/21\/jan-week-4\/","title":{"rendered":"Jan Week 4"},"content":{"rendered":"<p dir=\"ltr\"><span style=\"text-decoration: underline\"><em><strong>Preface<\/strong><\/em><\/span><\/p>\n<p dir=\"ltr\"><em>The book covers ArcGIS Pro (desktop), ArcGIS Online (web maps), Living Atlas (ready made data), StoryMaps, and Dashboards. <\/em><em>It has three parts: using maps then\u00a0 preparing data and analyzing it. <\/em><em><strong>Note:<\/strong> I have no Windows PC, so I ran ArcGIS Pro in Windows 11 through Parallels on my MacBook.<\/em><\/p>\n<p dir=\"ltr\"><span style=\"text-decoration: underline\"><em><strong>Chapter 1: Introducing ArcGIS<\/strong><\/em><\/span><\/p>\n<ul dir=\"ltr\">\n<li><em>I already knew most of the terminologies from previous readings but doing hands on work with them made much big of a difference compared to seeing screen shots or reading about them.<\/em><\/li>\n<li><em>Subsidized FQHC clinics cluster in dense, poor parts of Pittsburgh, while urgent care clinics sit in the suburbs.<\/em><\/li>\n<li><em>The 3D scene shows population density far better than shades of gray.<\/em><\/li>\n<\/ul>\n<p dir=\"ltr\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7532\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki-300x231.png\" alt=\"\" width=\"300\" height=\"231\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki-300x231.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki-1024x787.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki-768x590.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki-1536x1181.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rfki.png 1616w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-7533\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-300x167.jpeg\" alt=\"\" width=\"300\" height=\"167\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-300x167.jpeg 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-1024x571.jpeg 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-768x428.jpeg 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-1536x857.jpeg 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rhrg-2048x1142.jpeg 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p dir=\"ltr\"><em>Question: How do planners decide reachable distane for people without cars?<\/em><\/p>\n<p dir=\"ltr\"><span style=\"text-decoration: underline\"><em><strong>Chapter 2: Map Design<\/strong><\/em><\/span><\/p>\n<ul dir=\"ltr\">\n<li><em>The subject gets bright colors, and context gets gray.<\/em><\/li>\n<li><em>My quantile choropleth breaks (830 to 11,595) get wider at the top, so the data is skewed.<\/em><\/li>\n<li><em>The dot density map shows two groups (under 18 and over 60) on one map.<\/em><\/li>\n<li><em>Fixed a broken data source (the red &#8220;!&#8221;) using Repair Data Source.<\/em><\/li>\n<\/ul>\n<p dir=\"ltr\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7534\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-300x161.png\" alt=\"\" width=\"300\" height=\"161\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-300x161.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-1024x549.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-768x411.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-1536x823.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rcsp-2048x1097.png 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7535\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-300x161.png\" alt=\"\" width=\"300\" height=\"161\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-300x161.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-1024x548.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-768x411.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-1536x823.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rdlp-2048x1097.png 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p dir=\"ltr\"><em>Question: Can quantile classes mislead when a few values are much larger than the rest?<\/em><\/p>\n<p dir=\"ltr\"><span style=\"text-decoration: underline\"><em><strong>Chapter 3: Maps for End Users<\/strong><\/em><\/span><\/p>\n<ul dir=\"ltr\">\n<li><em>Built a two map layout of arts employment and wages by state.<\/em><\/li>\n<li><em>The bar chart shows California (290k) and New York (200k) far ahead in arts jobs.<\/em><\/li>\n<li><em>I&#8217;ll finish the online parts (sharing, StoryMaps, Dashboards) and follow up.<\/em><\/li>\n<\/ul>\n<p dir=\"ltr\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7536\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-300x161.png\" alt=\"\" width=\"300\" height=\"161\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-300x161.png 300w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-1024x550.png 1024w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-768x413.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-1536x826.png 1536w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-reke-2048x1101.png 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-7537\" src=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rffu-277x300.png\" alt=\"\" width=\"277\" height=\"300\" srcset=\"https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rffu-277x300.png 277w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rffu-945x1024.png 945w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rffu-768x832.png 768w, https:\/\/sites.owu.edu\/geog-291\/wp-content\/uploads\/sites\/208\/2026\/09\/SCR-20260921-rffu.png 984w\" sizes=\"auto, (max-width: 277px) 100vw, 277px\" \/><\/p>\n<p dir=\"ltr\"><em>Question: Is employment per 1,000 people a fairer comparison than total jobs?<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Preface The book covers ArcGIS Pro (desktop), ArcGIS Online (web maps), Living Atlas (ready made data), StoryMaps, and Dashboards. It has three parts: using maps then\u00a0 preparing data and analyzing it. Note: I have no Windows PC, so I ran ArcGIS Pro in Windows 11 through Parallels on my MacBook. Chapter 1: Introducing ArcGIS I already knew most of the terminologies from previous readings but doing hands on work with them made much big of a difference compared to seeing screen shots or reading about them. Subsidized FQHC clinics cluster in dense, poor parts of Pittsburgh, while urgent care clinics sit in the suburbs. The 3D scene shows population density far better than shades of gray. Question: How do planners decide reachable distane for people without cars? Chapter 2: Map Design The subject gets bright colors, and context gets gray. My quantile choropleth breaks (830 to 11,595) get wider at the top, so the data is skewed. The dot density map shows two groups (under 18 and over 60) on one map. Fixed a broken data source (the red &#8220;!&#8221;) using Repair Data Source. Question: Can quantile classes mislead when a few values are much larger than the rest? Chapter 3: Maps for End Users Built a two map layout of arts employment and wages by state. The bar chart shows California (290k) and New York (200k) far ahead in arts jobs. I&#8217;ll finish the online parts (sharing, StoryMaps, Dashboards) and follow up. Question: Is employment per 1,000 people a fairer comparison than total jobs?<\/p>\n","protected":false},"author":2362,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-7531","post","type-post","status-publish","format-standard","hentry","category-course-student-work"],"_links":{"self":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/users\/2362"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/comments?post=7531"}],"version-history":[{"count":1,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7531\/revisions"}],"predecessor-version":[{"id":7538,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/posts\/7531\/revisions\/7538"}],"wp:attachment":[{"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/media?parent=7531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/categories?post=7531"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.owu.edu\/geog-291\/wp-json\/wp\/v2\/tags?post=7531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}