{"id":610492,"date":"2023-08-31T18:12:49","date_gmt":"2023-09-01T01:12:49","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcuser&#038;p=610492"},"modified":"2023-12-06T16:46:49","modified_gmt":"2023-12-07T00:46:49","slug":"bookshelf_26_3","status":"publish","type":"arcuser","link":"https:\/\/www.esri.com\/about\/newsroom\/arcuser\/bookshelf_26_3","title":{"rendered":"GIS Bookshelf"},"author":1031,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[25042,10892,931],"tags":[279512,326602],"arcuser_issues":[486292],"class_list":["post-610492","arcuser","type-arcuser","status-publish","format-standard","hentry","category-bookshelf","category-esri-press","category-spatial-analysis","tag-geoint","tag-spatial-statistics","arcuser_issues-arcuser-summer-2023"],"acf":{"short_description":"An introduction to spatial statistics and an introduction to using geospatial data and location intelligence to solve many problems.  ","pdf":{"host_remotely":false,"file":610512,"file_url":""},"flexible_content":[{"acf_fc_layout":"content","content":"<h3>Spatial Statistics Illustrated<\/h3>\r\n<strong>By Lauren Bennett and Flora Vale<\/strong>\r\n\r\nRecent improvements in computational capacity and access to data mean that data science can now be applied to many complex problems. Spatial Statistics Illustrated by Lauren Bennett and Flora Vale provides an approachable introduction to a key area of data science: spatial statistics.\r\n\r\nSpatial statistics is a vast and special field of statistics. This book focuses on understanding what makes spatial statistics special and illustrates this through explaining the capabilities and tools available in ArcGIS and the concepts they are built on. With this understanding, readers will know when to use spatial statistics and how to apply and interpret them. The topics covered include means and medians, finding clusters with machine learning, statistical cluster analysis, spatiotemporal pattern mining, and modeling spatial relationships and making predictions.\r\n\r\nThe authors have extensive experience in the development of GIS tools for applying spatial statistics. Bennett leads the <a href=\"https:\/\/www.esri.com\/en-us\/capabilities\/spatial-analytics-data-science\/analytics\">spatial analysis and data science<\/a> product engineering team at Esri. In her role, she oversees the R&amp;D for the ArcGIS geoprocessing framework, which includes spatial and spatiotemporal statistics, raster and multidimensional analysis, machine learning, and big data analytics. She holds a bachelor\u2019s degree in geography, a master\u2019s degree in geographic and cartographic science, and a doctorate in information systems and technology. Vale is a product engineer on the spatial analysis and data science product engineering team at Esri. She is currently pursuing a doctorate in information systems and technology. Esri Press, 2023, 176 pp., print ISBN: 9781589485709, ebook ISBN: 9781589485716.\r\n<h3>Geospatial Data, Information,\r\nand Intelligence<\/h3>\r\n<strong>By Aaron Jabbour and Renny Babiarz<\/strong>\r\n\r\nThe premise of Geospatial Data, Information, and Intelligence is that location is central to understanding the world and that geospatial analysis can help people arrive at solutions to many problems. Instead of employing the historical approach used in many texts, this book introduces principles and practices of using geospatial data and information through an approach structured around observation, analysis, and communication processes. The emphasis on communicating the results of analysis is unique and valuable since the best analysis has little impact if it is not well communicated. The target audience of students, faculty, and practitioners can benefit from the authors\u2019 30 years of experience in the geospatial intelligence (GEOINT) field. Artech House, 2023, 262 pp., ISBN: 9781630819798.\r\n\r\n&nbsp;"}],"references":null},"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>Spatial Statistics Illustrated and Location Intelligence<\/title>\n<meta name=\"description\" content=\"Introductory text to spatial statistics and an approach to creating geospatial intelligence applications\" \/>\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\/about\/newsroom\/arcuser\/bookshelf_26_3\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GIS Bookshelf\" \/>\n<meta property=\"og:description\" content=\"Introductory text to spatial statistics and an approach to creating geospatial intelligence applications\" 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