03409cam a2200517 i 4500 9781003435082 FlBoTFG 20251030122308.0 m o d cr cnu|||unuuu 240805s2025 flu gob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9781003435082 (electronic bk.) 1003435084 (electronic bk.) 9781032563572 9781040044391 (electronic bk. : PDF) 1040044395 (electronic bk. : PDF) 9781040044414 (electronic bk. : EPUB) 1040044417 (electronic bk. : EPUB) 9781032563565 10.1201/9781003435082 doi (OCoLC)1450930019 (OCoLC-P)1450930019 RA792 MAT 029000 bisacsh PBT bicssc Blanford, Justine, author. 96281 Geographic information, geospatial technologies and spatial data science for health / Justine Blanford. First edition. Boca Raton, FL : CRC Press, 2025. 1 online resource (xiv, 376 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier "Geographic information and geospatial technologies play an important role in understanding changes in planetary health and the defining the drivers contributing to different health outcomes both locally and globally. Patterns influencing health outcomes and disease in the environment are complex and require an understanding of the ecology of the disease and how these interact in space and time. Knowing where and when diseases are prevalent, who is affected and what may be driving these outcomes are important for determining how to respond. In reality, we all would like to be healthy and live in healthy places. In this book, epidemiology and public health are integrated with spatial data science to examine health issues in dynamically changing environments. This is too broad a field to be completely covered in one book and so it has been necessary to be selective with the topics, methods and examples used to avoid overwhelming introductory readers, while at the same time providing sufficient depth for geospatial experts interested in health, and for health professionals interested in integrating geospatial elements for health analysis. A variety of geographic information (some novel, some volunteered, some authoritative, some big and messy) are used with a mix of methods consisting of spatial analysis, data science, machine learning and spatial statistics to better understand health risks and disease outcomes"-- Provided by publisher. OCLC-licensed vendor bibliographic record. Medical geography Data processing. 96282 Medical informatics Geographic information systems. 96283 Geospatial data Health aspects. 96284 MATHEMATICS / Probability & Statistics / General bisacsh 63965 Taylor & Francis https://www.taylorfrancis.com/books/9781003435082 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 68322 68322