{"id":167,"date":"2021-10-17T17:27:41","date_gmt":"2021-10-17T17:27:41","guid":{"rendered":"https:\/\/geospatial-ai.de\/?post_type=rara-portfolio&#038;p=167"},"modified":"2021-11-13T22:26:53","modified_gmt":"2021-11-13T22:26:53","slug":"acled-explorer","status":"publish","type":"rara-portfolio","link":"https:\/\/geospatial-ai.de\/?rara-portfolio=acled-explorer","title":{"rendered":"ACLED Explorer"},"content":{"rendered":"\n<p>To achieve political goals, we have seen people and governments using political violence. It includes violence between governments, e.g. war as an intense armed conflict, and violence used against non-state actors, e.g. police brutality. A rebellion is a kind of politically motivated violence of non-state actors against a government. The storming of the United States Capitol was a riot act from non-state actors against the United States Congress.<\/p>\n\n\n\n<p>Political violence is a major public health problem, not only because of the direct consequences but also because of the long-term effects on health and well-being of our communities. As a geospatial intelligence engineer, you need access to high-quality open source intelligence (OSINT) data collections for various geospatial tasks. We are going to inspect one high-quality OSINT data collection and use their geospatial information for spatial data science and political violence mapping.<\/p>\n\n\n\n<p id=\"e69d\">Professor Clionadh Raleigh from the University of Sussex and her co-authors introduced the Armed Conflict Location &amp; Event Data (ACLED) Project in a paper being published by the Journal of Peace Research in 2005. The paper shows the importance of disaggregated data collections using local specific high-quality information over location and time. In the past, researches often used national-level data only, which leads to erroneous conclusions.<\/p>\n\n\n\n<p>The ACLED explorer is a desktop map application visualizing occurred events worldwide. It consumes a publicly available geospatial cloud service and uses the official Open Streetmap map service as a basemap layer. The table view shows the events of the current map view extent. By navigating the map, the table view automatically filters the underlying event layer.<\/p>\n\n\n\n<p><a href=\"https:\/\/acleddata.com\">Armed Conflict Location &amp; Event Data Project (ACLED)<\/a><br>Raleigh, Clionadh, Andrew Linke, H\u00e5vard Hegre and Joakim Karlsen. (2010). \u201cIntroducing ACLED-Armed Conflict Location and Event Data.\u201d Journal of Peace Research 47(5) 651\u2013660<\/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\"><a class=\"wp-block-button__link has-vivid-cyan-blue-background-color has-background\" href=\"https:\/\/github.com\/gisfromscratch\/acled-explorer\" target=\"_blank\" rel=\"https:\/\/github.com\/gisfromscratch\/acled-explorer noopener\">Project Page<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>To achieve political goals, we have seen people and governments using political violence. It includes violence between governments, e.g. war as an intense armed conflict, and violence used against non-state actors, e.g. police brutality. A rebellion is a kind of politically motivated violence of non-state actors against a government. The storming of the United States &hellip; <\/p>\n","protected":false},"author":1,"featured_media":168,"template":"","rara_portfolio_categories":[8],"class_list":["post-167","rara-portfolio","type-rara-portfolio","status-publish","has-post-thumbnail","hentry","rara_portfolio_categories-apps"],"_links":{"self":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/rara-portfolio\/167","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/rara-portfolio"}],"about":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/types\/rara-portfolio"}],"author":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=\/wp\/v2\/media\/168"}],"wp:attachment":[{"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=167"}],"wp:term":[{"taxonomy":"rara_portfolio_categories","embeddable":true,"href":"https:\/\/geospatial-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Frara_portfolio_categories&post=167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}