Overcoming the misrepresentation of disease burden associated with single aggregation choropleth maps through combining information from many aggregations. (21st November 2019)

Record Type:: Journal Article
Title:: Overcoming the misrepresentation of disease burden associated with single aggregation choropleth maps through combining information from many aggregations. (21st November 2019)
Main Title:: Overcoming the misrepresentation of disease burden associated with single aggregation choropleth maps through combining information from many aggregations
Authors:: Tuson, Matthew
Yap, Matthew
Kok, Mei Ruu
Boruff, Bryan
Murray, Kevin
Vickery, Alistair
Turlach, Berwin
Whyatt, David
Is Part Of:: International journal of population data science. Volume 4:Number 3(2019)
Journal:: International journal of population data science
Issue:: Volume 4:Number 3(2019)
Issue Display:: Volume 4, Issue 3 (2019)
Year:: 2019
Volume:: 4
Issue:: 3
Issue Sort Value:: 2019-0004-0003-0000
Page Start:
Page End:
Publication Date:: 2019-11-21
Subjects:: Population research -- Periodicals
Population -- Data processing -- Periodicals
Population -- Statistical methods -- Periodicals
304.6072
Journal URLs:: https://ijpds.org/ ↗
DOI:: Https://doi.org/10.23889/ijpds.v4i3.1270 ↗
Languages:: English
ISSNs:: 2399-4908
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library HMNTS - ELD Digital store
Ingest File:: 12370.xml