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Data · dataset · 2022

sophie-a-lee/spatial_smooth_framework: Data and R code to accompany 'A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping'

Listed in LSHTM Data Compass

Data and R code to accompany "A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping."

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science · Humanities · Life Sciences · Medicine & Health · Social Science
Inferred from text
Agriculture, land and farm management 74% · Disease 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
LSHTM Data Compassoai:datacompass.lshtm.ac.uk:315910 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · lshtm ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3002enrichment · lshtm ac uktaxonomy-embedding@1.0.0title+keywords+description (74%)
concepts[field].local:field:earth-environmentalmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
descriptionsource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/description
publication_datesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
titlesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/title