A user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa

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A user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.APGEOG.2019.02.005
P932PMC publication ID6472520
P698PubMed publication ID31007312

P50authorGrant McKenzieQ56937383
P2093author name stringR Todd Slind
P2860cites workDisaggregating census data for population mapping using random forests with remotely-sensed and ancillary dataQ28649810
Determining global population distribution: methods, applications and dataQ28741546
Dynamic population mapping using mobile phone dataQ30864532
Commentary: containing the ebola outbreak - the potential and challenge of mobile network dataQ30887049
Identifying Malaria Transmission Foci for Elimination Using Human Mobility DataQ31068210
Population distribution, settlement patterns and accessibility across Africa in 2010.Q34171312
The long-run poverty and gender impacts of mobile moneyQ39301040
Notes on Continuous Stochastic PhenomenaQ56913292
P407language of work or nameEnglishQ1860
P921main subjectSub-Saharan AfricaQ132959
random forestQ245748
user-generated contentQ579716
P304page(s)25-36
P577publication date2019-04-01
P1433published inApplied GeographyQ15716440
P1476titleA user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa
P478volume105