{"id":1907,"date":"2025-03-13T22:54:43","date_gmt":"2025-03-14T02:54:43","guid":{"rendered":"https:\/\/giscloud.fiu.edu\/gis\/?p=1907"},"modified":"2025-03-13T22:56:57","modified_gmt":"2025-03-14T02:56:57","slug":"fiu-rcmi-gis-intermediate-workshop-exercise-2","status":"publish","type":"post","link":"https:\/\/giscloud.fiu.edu\/gis\/fiu-rcmi-gis-intermediate-workshop-exercise-2\/","title":{"rendered":"FIU RCMI GIS Intermediate Workshop \u2013 Exercise 2"},"content":{"rendered":"<h2><strong>Exercise #2 -Analyzing point patterns in ArcGIS Pro<\/strong><\/h2>\n<p><span class=\"TextRun SCXP11332103 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-scheme-color=\"@FFFFFF,,\" data-usefontface=\"false\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP11332103 BCX0\"><strong>Objective<\/strong>:<\/span><\/span><span class=\"TextRun SCXP11332103 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-scheme-color=\"@FFFFFF,,\" data-usefontface=\"false\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP11332103 BCX0\"> Learn how to geocode a table of addresses, analyze spatial patterns <\/span><\/span><span class=\"TextRun SCXP11332103 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-scheme-color=\"@FFFFFF,,\" data-usefontface=\"false\" data-contrast=\"none\"><span class=\"NormalTextRun SCXP11332103 BCX0\">using spatial statistics, and interpret results.<\/span><\/span><\/p>\n<p>This exercise gets you started with spatial statistics through a simple approach of analyzing point patterns. Similarly to how Dr. Snow plotted the addresses of cholera victims, we will start with a simple list of addresses. The detailed steps below walk you through the process.<\/p>\n<h4>Step 1 &#8211; Download data<\/h4>\n<ul>\n<li>Download the dataset <a href=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2022\/09\/addresses_new.csv\">from here<\/a>. The<strong> addresses_new.csv<\/strong> file contains 99 synthetic addresses from Miami-Dade County. These addresses were randomly generated and do not correspond to real people<\/li>\n<\/ul>\n<h4>Step 2 &#8211; Load and Geocode addresses<\/h4>\n<ul>\n<li>Open ArcGIS Pro and create a new project called<strong> exercise_2<\/strong>.<\/li>\n<li>In the Map menu, click <strong>Add Data+<\/strong> and find the addresses_new.csv file. You can also drag and drop the file from your file manager.<\/li>\n<li>Open the <strong>Attribute Table<\/strong> and verify the contents of the layer. Notice that the layer is recognized as <strong>a Standalone Table<\/strong>, which contains no geometries at this point.<\/li>\n<li>In the <strong>Analysis Menu<\/strong>, click Tools to open the Geoprocessing Toolbox. This is the main location from where different tools can be started.<\/li>\n<li>Search for the<strong> Geocode Addresses<\/strong> tool in the Geocoding Toolbox.<\/li>\n<li>Set the <strong>Input Table<\/strong> to addresses_new.csv, and the<strong> Input Address Locator<\/strong> to Esri World Geocoder.<\/li>\n<li>The software should automatically recognize that the input addresses are stored in different fields.<\/li>\n<li>Set the name and location of the <strong>Output Feature Class<\/strong> (optional).<\/li>\n<li>Choose United States as the <strong>Country or Region<\/strong><\/li>\n<li>Before you can Run the tool, you may need to click<strong> Estimate Credits<\/strong> highlighted in blue. This is because Geocoding is a premium service that requires a subscription. FIU&#8217;s institutional license allows each user to spend a certain amount of credits. This shouldn&#8217;t be an issue when working with reasonably sized datasets.<\/li>\n<\/ul>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-1910\" src=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-221952.png\" alt=\"\" width=\"950\" height=\"274\" srcset=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-221952.png 950w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-221952-300x87.png 300w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-221952-768x222.png 768w\" sizes=\"(max-width: 950px) 100vw, 950px\" \/><\/p>\n<h4>Step 3 &#8211; Perform Nearest Neighbor Analysis<\/h4>\n<p><img loading=\"lazy\" class=\"alignnone size-large wp-image-1911\" src=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-1024x762.png\" alt=\"\" width=\"1024\" height=\"762\" srcset=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-1024x762.png 1024w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-300x223.png 300w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-768x572.png 768w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-1536x1143.png 1536w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-222540-2048x1524.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<ul>\n<li>Your screen should look similar to the one above, showing the location of addresses with point geometries.<\/li>\n<li>In the <strong>Analysis<\/strong> Menu (top) click <strong>Tools<\/strong> to open the Geoprocessing toolbox<\/li>\n<li>Find the<strong> Average Nearest Neighbor<\/strong> tool.<\/li>\n<li>Select th<strong>e Input Feature Class<\/strong> and click the <strong>Generate Report<\/strong> checkbox.<\/li>\n<li>Locate the <strong>Report<\/strong> and open it (this will be a HTML file)<\/li>\n<\/ul>\n<h4>Step 4 &#8211; Ripley&#8217;s K function<\/h4>\n<ul>\n<li>To calculate Ripley&#8217;s K function for our dataset, we need to Project the geographic coordinates into a projected coordinate system<\/li>\n<li>In the <strong>Analysis<\/strong> Menu (top) click <strong>Tools<\/strong> to open the Geoprocessing toolbox<\/li>\n<li>Open the <strong>Project<\/strong> tool<\/li>\n<li>Set the <strong>Input Feature Class<\/strong> to the geocoded addresses point layer<\/li>\n<li>Click the <strong>Globe icon<\/strong> next to the the <strong>Output Coordinate System<\/strong> field to open the selector window.<\/li>\n<li>Find <strong>Projected Coordinate System -&gt; UTM -&gt; North America -&gt; NAD 1983 -&gt; UTM Zone 17N<\/strong> (This is the Zone that covers Florida)<\/li>\n<li>After running the tool, you created a new layer from the geocoded addresses. Although both point sets appear at the same place on the map, the original layer stores geographic coordinates, whereas the new layer stores UTM coordinates<\/li>\n<li>In the Geoprocessing window, find the<strong> Multi-Distance Spatial Cluster Analysis (Ripley&#8217;s K Function)<\/strong> tool<\/li>\n<\/ul>\n<p>Copy the parameters from below, then click <strong>Run.<\/strong><br \/>\n<img loading=\"lazy\" class=\"size-full wp-image-1912 alignnone\" src=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-224519.png\" alt=\"\" width=\"848\" height=\"968\" srcset=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-224519.png 848w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-224519-263x300.png 263w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-224519-768x877.png 768w\" sizes=\"(max-width: 848px) 100vw, 848px\" \/><\/p>\n<ul>\n<li>Check the table and <strong>Chart<\/strong> and see if you can interpret the results<\/li>\n<\/ul>\n<p><img loading=\"lazy\" class=\"alignnone size-large wp-image-1914\" src=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-1024x184.png\" alt=\"\" width=\"1024\" height=\"184\" srcset=\"https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-1024x184.png 1024w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-300x54.png 300w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-768x138.png 768w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-1536x276.png 1536w, https:\/\/giscloud.fiu.edu\/gis\/wp-content\/uploads\/2025\/03\/Screenshot-2025-03-13-225420-2048x368.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Exercise #2 -Analyzing point patterns in ArcGIS Pro Objective: Learn how to geocode a table of addresses, analyze spatial patterns using spatial statistics, and interpret results. This exercise gets you started with spatial statistics through a simple approach of analyzing point patterns. Similarly to how&#8230;<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/posts\/1907"}],"collection":[{"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/comments?post=1907"}],"version-history":[{"count":3,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/posts\/1907\/revisions"}],"predecessor-version":[{"id":1916,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/posts\/1907\/revisions\/1916"}],"wp:attachment":[{"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/media?parent=1907"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/categories?post=1907"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/giscloud.fiu.edu\/gis\/wp-json\/wp\/v2\/tags?post=1907"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}