Statistical Choropleth Cartography in Epidemiology | Zendy

Abhaya Indrayan | Zendy; Rajeev Kumar | Zendy

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Statistical Choropleth Cartography in Epidemiology

Author(s) -

Abhaya Indrayan,

Rajeev Kumar

Publication year - 1996

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/25.1.181

Subject(s) - cutoff , set (abstract data type) , cluster (spacecraft) , data set , multivariate statistics , geography , construct (python library) , cartography , computer science , statistics , similarity (geometry) , data mining , data science , mathematics , artificial intelligence , image (mathematics) , physics , quantum mechanics , programming language

The potential of maps in the study of regional variation and similarity in health and in understanding the underlying processes is being increasingly realized. It has thus become important that more care is exercised in drawing health maps and the subjective elements are minimized. Conventional choropleth maps based on qualitative data are mostly arbitrary with regard to the number of categories and the cutoff points. This can lead to substantially different pictures based on the same data set.

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