title: Real geographies and virtual landscapes: exploring the influence on place and space on mortality Lexis surfaces using shaded contour maps.
abstract: This paper describes how shaded contour plots, applied to mortality data from the Human Mortality Database, can be used to compare between nations, and start to tease out some of the ways that place and space matters. A number of shaded contour plots are presented, in order to describe the age, period and cohort effects which are apparent within them. They show variations between different subpopulations within the same nation, over time, and between nations. In illustrating these intra- and international variations in the patterns, we hope to encourage the development of hypotheses about the influence of such factors on mortality rates. We conclude with a brief discussion about how such hypotheses might be developed into statistical models, allowing for more rigourous testing of hypotheses and projection across time, place and space.
authors.affiliation: University of Glasgow, Room 710, Adam Smith Building, Lanarkshire G12 8RT, United Kingdom. Electronic address: Jonathan.minton@glasgow.ac.uk.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Minton
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D005260:Female; D062305:Geographic Mapping; D014943:Global Health; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009026:Mortality / Q000639:trends*; D014584:User-Computer Interface
keywords: Data visualization; Demography; International variation; Maps; Mortality