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) is used with a mix of methods consisting of spatial analysis, data science and spatial statistics to better understand health risks and disease outcomes.
Key Features:
- Makes spatial data science accessible to health
- Integrates epidemiology and disease ecology with spatial data science
- Integrates theoretical geographic information science concepts
- Provides practical and applied approaches for examining and exploring health and disease risks
- Provides spatial data science skill development ranging from map making to spatial modelling
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