{"id":122,"date":"2021-02-06T15:56:04","date_gmt":"2021-02-06T15:56:04","guid":{"rendered":"http:\/\/geospatial-ai.de\/?p=122"},"modified":"2022-12-20T23:16:38","modified_gmt":"2022-12-20T23:16:38","slug":"geoint-app-using-web-maps-as-the-spatial-ground-truth","status":"publish","type":"post","link":"https:\/\/geospatial-ai.de\/?p=122","title":{"rendered":"GEOINT App: Using web maps as the spatial ground truth"},"content":{"rendered":"\n<p id=\"ab46\">Typically, a geospatial analyst starts visualizing operational data having location information on a map. A basemap defines the geographic context and allows us thematic layering of our data. We try to gain new knowledge based on the spatial distribution of the data. A geospatial analyst almost always doesn\u2019t have the time and skills to create high-quality basemaps from raw geographic features. Our task is to analyze the space and time-related information. This is our core competence that we should rely on.<\/p>\n\n\n\n<p id=\"97a9\">The easiest way to access ready to go basemaps is to use cloud-based map services. As an experienced user of the ArcGIS ecosystem, you appreciate the wealth of information that are available through <a href=\"https:\/\/www.arcgis.com\/\" rel=\"noreferrer noopener\" target=\"_blank\">ArcGIS Online<\/a>. Quality assured web maps, apps and data can be easily found and used via the <a href=\"https:\/\/livingatlas.arcgis.com\/en\/home\/\" rel=\"noreferrer noopener\" target=\"_blank\">Living Atlas of the World<\/a>. As many other cloud-based resources a web map can be accessed by using an unique url.<\/p>\n\n\n\n<p id=\"b8ab\">For our proof of concept we will use a web map, which contains open data from the Armed Conflict Location &amp; Event Data Project (ACLED). This project collects publicly available political violence and protest events and offers a dataset designed for disaggregated conflict analysis and crisis mapping. The web map can be accessed by using this <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=9904b2e6441743f8b5633d8a201dd0f5\" rel=\"noreferrer noopener\" target=\"_blank\">item<\/a>.<\/p>\n\n\n\n<p>Telling the needs of a geospatial analyst when supporting different geospatial intelligence workflows.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/medium.com\/geospatial-intelligence\/geoint-app-using-web-maps-as-the-spatial-ground-truth-c8e716e87af8\">Read more @Medium<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Typically, a geospatial analyst starts visualizing operational data having location information on a map. A basemap defines the geographic context and allows us thematic layering of our data. We try to gain new knowledge based on the spatial distribution of the data. A geospatial analyst almost always doesn\u2019t have the time and skills to create &hellip; <\/p>\n","protected":false},"author":1,"featured_media":123,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-geoint"],"_links":{"self":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/posts\/122","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=122"}],"version-history":[{"count":5,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/posts\/122\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/posts\/122\/revisions\/285"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/media\/123"}],"wp:attachment":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=122"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=122"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}