{"id":763771,"date":"2020-03-10T12:00:22","date_gmt":"2020-03-10T19:00:22","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=763771"},"modified":"2024-01-04T11:29:20","modified_gmt":"2024-01-04T19:29:20","slug":"developer-summit-2020-spatial-data-science-in-arcgis-pro","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro","title":{"rendered":"Dev Summit 2020: Integrate spatial data science workflows in ArcGIS Pro"},"author":6181,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37141,22941],"tags":[],"industry":[],"product":[421922,36561],"class_list":["post-763771","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-decision-support","category-mapping","product-arcgis","product-arcgis-pro"],"acf":{"short_description":"The powerful experience of ArcGIS\u202fNotebooks\u202fis now seamlessly integrated into ArcGIS Pro. ","flexible_content":[{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">The powerful\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">experience of\u00a0<\/span><\/span><a class=\"Hyperlink SCXW83852629 BCX7\" href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-notebooks\/overview?adumkts=product&amp;adupro=ArcGIS_Notebooks&amp;aduc=pr&amp;adum=blogs&amp;utm_Source=pr&amp;aduca=arcgis_notebooks_aware&amp;aduco=proreleaseblog&amp;adupt=lead_gen&amp;sf_id=701f2000001AVqCAAW\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"Hyperlink\">ArcGIS\u202fNotebooks <\/span><\/span><span class=\"TextRun Underlined SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"Hyperlink\">\u202f<\/span><\/span><\/a><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">is\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">now\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">seamlessly\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"normaltextrun\">integrated into\u00a0<\/span><\/span><a class=\"Hyperlink SCXW83852629 BCX7\" href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/get-started\/whats-new-in-arcgis-pro.htm#ESRI_SECTION1_473686CAC65A400694272B13786466FE\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"Hyperlink\">ArcGIS Pro<\/span><\/span><\/a><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">. Because the\u00a0experiences\u00a0are collocated, you can produce immediate actions and results right within your workstation.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">ArcGIS Notebooks\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">are a dynamic way for you<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">\u00a0to\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">conduct,\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">visualize<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">, and iterate on<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">analysis\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">and data science <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">workflows <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">through <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">interactive <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">mapping, <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">symbology, charts, <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">and <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">selections<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">They&#8217;re also<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">\u00a0also\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">highly\u00a0<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">collaborative. <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">Through <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">seamless integration of open source libraries, you can extend your <a href=\"https:\/\/www.esri.com\/en-us\/capabilities\/spatial-analytics-data-science\/analytics\" target=\"_blank\" rel=\"noopener\">spatial data science<\/a> workflows <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">in <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">intuitive <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">way<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">s. By <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">incorporating <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">inline visuals <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">and context alongside your methodologies, you can<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">\u00a0maximize readability and <\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun CommentStart SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">r<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">ep<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">eatability<\/span><\/span><span class=\"TextRun SCXW83852629 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW83852629 BCX7\" data-ccp-charstyle=\"eop\">.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"youtube","start_time":"241","end_time":"","youtube_video_url":"<iframe title=\"Spatial Analysis &amp; Data Science\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/dgoegW0JPok?list=PLaPDDLTCmy4a-_G7sW0JHxgQ60pM_sAmI\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>"},{"acf_fc_layout":"content","content":"<h3>Interactive mapping<\/h3>\n<p><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">In her first demo<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">nstration<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">, <\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">Ankita use<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">d<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0<\/span><\/span><a class=\"Hyperlink SCXW264577811 BCX7\" href=\"https:\/\/www.cdc.gov\/datastatistics\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"Hyperlink\">CDC data<\/span><\/span><\/a><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0to\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">model<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">predicted\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">population percentages of those affected by\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">chronic kidney disease <\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">in the state of Alabama<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">Ankita <\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">extrapolated <\/span><\/span><a class=\"Hyperlink SCXW264577811 BCX7\" href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/spatial-statistics\/learnmore-buildbalancedzones.htm\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"TextRun Underlined SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"Hyperlink\">balanced\u00a0<\/span><\/span><span class=\"TextRun Underlined SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"Hyperlink\">administrative\u00a0<\/span><\/span><span class=\"TextRun Underlined SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"Hyperlink\">zones <\/span><\/span><\/a><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">based on a set of attribute values such as patients in need, income levels, and distance to dialysis centers.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">The results of her analysis could then be used to\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">inform\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">health care\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">decisions and improve<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">efficacy of care<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0for individuals in need<\/span><\/span><span class=\"TextRun SCXW264577811 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264577811 BCX7\" data-ccp-charstyle=\"normaltextrun\">.<\/span><\/span><span class=\"EOP SCXW264577811 BCX7\" data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">Throughout her analysis, Ankita showed<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\"> how seamlessly her actions and results were integrated into ArcGIS Pro through mapping, symbology, and interactive charts and selections.<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">She used\u00a0<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">markdown to\u00a0<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">optimize<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\"> her analysis <\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">with\u00a0<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">meaningful context<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">, including a title<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">, visuals, as well as<\/span><\/span><span class=\"TextRun SCXW3164030 BCX7\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW3164030 BCX7\" data-ccp-charstyle=\"normaltextrun\">\u00a0interactive charts.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":764761,"id":764761,"title":"ArcGIS Notebooks are integrated in ArcGIS Pro","filename":"ArcGISPro_Notebooks_Interactive.png","filesize":97624,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro\/arcgispro_notebooks_interactive","alt":"Interactive charts and symbology in ArcGIS Pro","author":"6181","description":"","caption":"ArcGIS Notebooks are integrated in ArcGIS Pro","name":"arcgispro_notebooks_interactive","status":"inherit","uploaded_to":763771,"date":"2020-03-09 21:56:16","modified":"2020-04-28 01:50:57","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1000,"height":536,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","medium-width":464,"medium-height":249,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","medium_large-width":768,"medium_large-height":412,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","large-width":1000,"large-height":536,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","1536x1536-width":1000,"1536x1536-height":536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","2048x2048-width":1000,"2048x2048-height":536,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive-826x443.png","card_image-width":826,"card_image-height":443,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_Notebooks_Interactive.png","wide_image-width":1000,"wide_image-height":536}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Extend your analysis<\/h3>\n<p><span data-contrast=\"auto\">In her second demonstration, Ankita<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">leveraged open source libraries to <\/span><span data-contrast=\"auto\">stud<\/span><span data-contrast=\"auto\">y<\/span><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">peaceful and violent protests\u00a0<\/span><span data-contrast=\"auto\">in India.<\/span><\/p>\n<p><span data-contrast=\"auto\">In this scenario, Ankita considered a series of events that occurred <\/span><span data-contrast=\"auto\">over the past several years and mapped them in two distinct categories.<\/span><\/p>\n<p><span data-contrast=\"auto\">She then imported open source libraries to enhance her analysis. First, she <\/span><span data-contrast=\"auto\">v<\/span><span data-contrast=\"auto\">iewed and selected attributes in tabular format by converting her existing feature class to a pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.html\">DataFrame<\/a>. Next, she <\/span><span data-contrast=\"auto\">used <\/span><a href=\"https:\/\/seaborn.pydata.org\/\"><span data-contrast=\"none\">seaborn<\/span><\/a><span data-contrast=\"auto\">\u00a0to incorporate statistical graphics and charts to visualize the data in space and time.<\/span><\/p>\n<p><span data-contrast=\"auto\">Finally, to determine the statistical likelihood of a spatial relationship between her categories of conflict, s<\/span><span data-contrast=\"auto\">he used\u00a0<\/span><span data-contrast=\"auto\">A<\/span><span data-contrast=\"auto\">rc<\/span><span data-contrast=\"auto\">P<\/span><span data-contrast=\"auto\">y\u2019s<\/span><span data-contrast=\"auto\">\u00a0<\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/tool-reference\/spatial-statistics\/colocationanalysis.htm\"><span data-contrast=\"none\">colocation analysis<\/span><\/a><span data-contrast=\"auto\"> tool. She <\/span><span data-contrast=\"auto\">drew and symbolized her results in the map to illustrate statistically significant areas where <\/span><span data-contrast=\"auto\">collocated<\/span><span data-contrast=\"auto\"> categories of conflict occurred<\/span><span data-contrast=\"auto\">.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":764901,"id":764901,"title":"ArcGIS Notebooks are extendable","filename":"ArcGISPro_NotebookDemo2.png","filesize":153519,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro\/arcgispro_notebookdemo2","alt":"Use open source libraries to extend ArcGIS Notebooks","author":"6181","description":"","caption":"Watch this demo analysis using pandas and seaborn python libraries using ArcGIS Notebooks Pro. ","name":"arcgispro_notebookdemo2","status":"inherit","uploaded_to":763771,"date":"2020-03-09 22:38:40","modified":"2020-04-29 17:29:12","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1030,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","medium-width":464,"medium-height":249,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","medium_large-width":768,"medium_large-height":412,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","large-width":1920,"large-height":1030,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-1536x824.png","1536x1536-width":1536,"1536x1536-height":824,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","2048x2048-width":1920,"2048x2048-height":1030,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2-826x443.png","card_image-width":826,"card_image-height":443,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ArcGISPro_NotebookDemo2.png","wide_image-width":1920,"wide_image-height":1030}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Learn more<\/h3>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/how-to-create-and-add-python-notebooks-in-arcgis-pro-2-5\/\"><span data-contrast=\"none\">How to create and add Python notebooks in ArcGIS Pro 2.5<\/span><\/a><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:540,&quot;335559731&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[0]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/introducing-arcgis-notebooks-in-arcgis-pro\/\"><span data-contrast=\"none\">Introducing ArcGIS Notebooks in ArcGIS Pro<\/span><\/a><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:540,&quot;335559731&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[0]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-aria-posinset=\"3\" data-aria-level=\"1\"><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-notebooks\/workspace-options\/arcgis-pro\"><span data-contrast=\"none\">ArcGIS Notebooks on a workstation<\/span><\/a><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:540,&quot;335559731&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[0]}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/get-started\/whats-new-in-arcgis-pro.htm#ESRI_SECTION1_473686CAC65A400694272B13786466FE\"><span data-contrast=\"none\">What\u2019s New in Ar<\/span><span data-contrast=\"none\">c<\/span><span data-contrast=\"none\">GIS Pro 2.5<\/span><\/a><span data-contrast=\"auto\">\u202f<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:540,&quot;335559731&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[0]}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/arcpy\/get-started\/pro-notebooks.htm\"><span data-contrast=\"none\">Overview of Notebooks in Pro<\/span><\/a><span data-contrast=\"auto\">\u202f<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:540,&quot;335559731&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[0]}\">\u00a0<\/span><\/li>\n<\/ul>\n"}],"authors":[{"ID":6181,"user_firstname":"Sara","user_lastname":"Sanchez","nickname":"Sara Sanchez","user_nicename":"saramdsanchez","display_name":"Sara Sanchez","user_email":"ssanchez@esri.com","user_url":"","user_registered":"2018-03-02 00:18:03","user_description":"Sara is a lead product engineer on the ArcGIS Enterprise team. She enjoys spending time at the lake, non-fiction, and cooking.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/06\/sara-s-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":9862,"user_firstname":"Ankita","user_lastname":"Bakshi","nickname":"Ankita Bakshi","user_nicename":"abakshi","display_name":"Ankita Bakshi","user_email":"ABakshi@esri.com","user_url":"https:\/\/spatialstats.github.io\/","user_registered":"2019-08-13 18:45:44","user_description":"Ankita Bakshi is a Product Owner and a Senior Product Engineer on the Spatial Statistics Team at Esri. With a background in environmental engineering and computer science, she is passionate about solving social, economic, and environmental problems with Spatial Analysis and Data Science. In her role, Ankita enjoys researching, finding solutions to build software, and loves creating video and written content to make the software tools more approachable and applicable to real world challenges. Outside of work Ankita enjoys going on hikes and dancing to Bollywood music.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/12\/Ankita_Bakshi-e1577730248180-259x261.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":"","card_image":false,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/03\/ankita_wide.jpg"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Dev Summit 2020: Integrate spatial data science workflows in ArcGIS Pro<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dev Summit 2020: Integrate spatial data science workflows in ArcGIS Pro\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/analytics\/developer-summit-2020-spatial-data-science-in-arcgis-pro\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-04T19:29:20+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<script type=\"application\/ld+json\" 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