Spatial Analysis
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- Topics
Spatial analysis is a broad field of statistical and computational analysis that studies spatial observations and location-based data, such as coordinate information and satellite imagery. It can be used to examine patterns and relations in the data, and to create models and predictions based on them. These might equally relate to the spread of diseases, plant dispersal processes, or identifying historical trade routes. As a shared methodological approach it bridges diverse disciplines, facilitating interdisciplinary borrowings and co-operation. The following material is geared towards explaining the application of spatial analysis in the Humanities and Social Sciences, with examples from historical studies.
Eljas Oksanen is an archaeologist and docent at the Department of Philosophy, History and Art Studies of the University of Helsinki.
This introductory video is part of a video library used as teaching resource for BA Course Introduction to Helsinki Digital Humanities and Social Science at the University of Helsinki.
Learning Outcomes
After watching this short video, learners should be able to:
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Understand the core concept of spatial analysis
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Recognize from practical examples how spatial analysis can be used to map and study various location-based phenomena
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Appreciate the wide scientific potential these approaches have across diverse fields of enquiry
