Examining the correlates and drivers of human population distributions across low- and middle-income countries

Geographical factors have influenced the distributions and densities of global human population distributions for centuries. Climatic regimes have made some regions more habitable than others, harsh topography has discouraged human settlement, and transport links have encouraged population growth. A...

Full description

Saved in:
Bibliographic Details
Published inJournal of the Royal Society interface Vol. 14; no. 137; p. 20170401
Main Authors Nieves, Jeremiah J., Stevens, Forrest R., Gaughan, Andrea E., Linard, Catherine, Sorichetta, Alessandro, Hornby, Graeme, Patel, Nirav N., Tatem, Andrew J.
Format Journal Article
LanguageEnglish
Published England The Royal Society 01.12.2017
The Royal Society Publishing
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Geographical factors have influenced the distributions and densities of global human population distributions for centuries. Climatic regimes have made some regions more habitable than others, harsh topography has discouraged human settlement, and transport links have encouraged population growth. A better understanding of these types of relationships enables both improved mapping of population distributions today and modelling of future scenarios. However, few comprehensive studies of the relationships between population spatial distributions and the range of drivers and correlates that exist have been undertaken at all, much less at high spatial resolutions, and particularly across the low- and middle-income countries. Here, we quantify the relative importance of multiple types of drivers and covariates in explaining observed population densities across 32 low- and middle-income countries over four continents using machine-learning approaches. We find that, while relationships between population densities and geographical factors show some variation between regions, they are generally remarkably consistent, pointing to universal drivers of human population distribution. Here, we find that a set of geographical features relating to the built environment, ecology and topography consistently explain the majority of variability in population distributions at fine spatial scales across the low- and middle-income regions of the world.
AbstractList Geographical factors have influenced the distributions and densities of global human population distributions for centuries. Climatic regimes have made some regions more habitable than others, harsh topography has discouraged human settlement, and transport links have encouraged population growth. A better understanding of these types of relationships enables both improved mapping of population distributions today and modelling of future scenarios. However, few comprehensive studies of the relationships between population spatial distributions and the range of drivers and correlates that exist have been undertaken at all, much less at high spatial resolutions, and particularly across the low- and middle-income countries. Here, we quantify the relative importance of multiple types of drivers and covariates in explaining observed population densities across 32 low- and middle-income countries over four continents using machine-learning approaches. We find that, while relationships between population densities and geographical factors show some variation between regions, they are generally remarkably consistent, pointing to universal drivers of human population distribution. Here, we find that a set of geographical features relating to the built environment, ecology and topography consistently explain the majority of variability in population distributions at fine spatial scales across the low- and middle-income regions of the world.
Author Tatem, Andrew J.
Sorichetta, Alessandro
Nieves, Jeremiah J.
Stevens, Forrest R.
Patel, Nirav N.
Hornby, Graeme
Linard, Catherine
Gaughan, Andrea E.
AuthorAffiliation 6 GeoData, University of Southampton , Building 44, Room 44/2087, University Road, Southampton SO17 1BJ , UK
5 Flowminder Foundation , Stockholm , Sweden
1 Department of Geography and Geosciences, University of Louisville , Lutz Hall, Louisville, KY 40292 , USA
2 Department of Geography, Université de Namur , Rue de Bruxelles 61, 5000 Namur , Belgium
3 Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles CP160/12 , Avenue F.D. Roosevelt 50, 1050 Brussels , Belgium
7 Department of Geography and Geoinformation Science, George Mason University , 4400 University Drive, MS 6C3, Fairfax, VA 22030 , USA
4 WorldPop, Geography and Environment, University of Southampton , Building 44, Room 54/2001, University Road, Southampton SO17 1BJ , UK
AuthorAffiliation_xml – name: 7 Department of Geography and Geoinformation Science, George Mason University , 4400 University Drive, MS 6C3, Fairfax, VA 22030 , USA
– name: 1 Department of Geography and Geosciences, University of Louisville , Lutz Hall, Louisville, KY 40292 , USA
– name: 2 Department of Geography, Université de Namur , Rue de Bruxelles 61, 5000 Namur , Belgium
– name: 4 WorldPop, Geography and Environment, University of Southampton , Building 44, Room 54/2001, University Road, Southampton SO17 1BJ , UK
– name: 3 Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles CP160/12 , Avenue F.D. Roosevelt 50, 1050 Brussels , Belgium
– name: 5 Flowminder Foundation , Stockholm , Sweden
– name: 6 GeoData, University of Southampton , Building 44, Room 44/2087, University Road, Southampton SO17 1BJ , UK
Author_xml – sequence: 1
  givenname: Jeremiah J.
  orcidid: 0000-0002-7423-1341
  surname: Nieves
  fullname: Nieves, Jeremiah J.
  email: jeremiah.j.nieves@gmail.com
  organization: Department of Geography and Geosciences, University of Louisville, Lutz Hall, Louisville, KY 40292, USA
– sequence: 2
  givenname: Forrest R.
  surname: Stevens
  fullname: Stevens, Forrest R.
  organization: Department of Geography and Geosciences, University of Louisville, Lutz Hall, Louisville, KY 40292, USA
– sequence: 3
  givenname: Andrea E.
  surname: Gaughan
  fullname: Gaughan, Andrea E.
  organization: Department of Geography and Geosciences, University of Louisville, Lutz Hall, Louisville, KY 40292, USA
– sequence: 4
  givenname: Catherine
  surname: Linard
  fullname: Linard, Catherine
  organization: Department of Geography, Université de Namur, Rue de Bruxelles 61, 5000 Namur, Belgium; Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles CP160/12, Avenue F.D. Roosevelt 50, 1050 Brussels, Belgium
– sequence: 5
  givenname: Alessandro
  surname: Sorichetta
  fullname: Sorichetta, Alessandro
  organization: WorldPop, Geography and Environment, University of Southampton, Building 44, Room 54/2001, University Road, Southampton SO17 1BJ, UK; Flowminder Foundation, Stockholm, Sweden
– sequence: 6
  givenname: Graeme
  surname: Hornby
  fullname: Hornby, Graeme
  organization: GeoData, University of Southampton, Building 44, Room 44/2087, University Road, Southampton SO17 1BJ, UK
– sequence: 7
  givenname: Nirav N.
  surname: Patel
  fullname: Patel, Nirav N.
  organization: Department of Geography and Geoinformation Science, George Mason University, 4400 University Drive, MS 6C3, Fairfax, VA 22030, USA
– sequence: 8
  givenname: Andrew J.
  surname: Tatem
  fullname: Tatem, Andrew J.
  organization: WorldPop, Geography and Environment, University of Southampton, Building 44, Room 54/2001, University Road, Southampton SO17 1BJ, UK; Flowminder Foundation, Stockholm, Sweden
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29237823$$D View this record in MEDLINE/PubMed
BookMark eNptkc1v3CAQxVGVqvlorz1WSL304i0M2NiXSlWUfkiRcmnPiDVDlsiGLdhJ9r8PzqartMoJ0PzmvRneKTkKMSAh7zlbcda1n1P2bgWMqxWTjL8iJ1xJqOqmgaPDve2OyWnON4wJJer6DTmGDoRqQZyQcHFvRh98uKbTBmkfU8LBTJipCZba5G8xZRod3cyjCXQbt3Mp-xio9XlKfj0vj0L3KeZMh3hXPXaO3toBKx_6OC6ycygw5rfktTNDxndP5xn5_e3i1_mP6vLq-8_zr5dVLxuYKl5LrC1YQOyQMw6WOe6cQteVqWWj6s4BrFsJDFwHVjaidYqDlAis52txRr7sdbfzekTbY7E3g94mP5q009F4_W8l-I2-jre6VrKpG1kEPj0JpPhnxjzp0eceh8EEjHPWvFMKGGt4V9CP_6E3cU6hrFeoVpRhWyYKtdpTjx-V0B2G4UwvUeolSr1EqZcoS8OH5ysc8L_ZFUDsgRR3xSz2HqfdM--XZR8APbivkw
CitedBy_id crossref_primary_10_1016_j_tele_2021_101730
crossref_primary_10_1016_j_compenvurbsys_2021_101594
crossref_primary_10_1111_1477_8947_12191
crossref_primary_10_1016_j_egyai_2024_100386
crossref_primary_10_1088_1748_9326_ac0567
crossref_primary_10_3390_ijgi8080341
crossref_primary_10_3390_rs13061142
crossref_primary_10_1016_j_ssaho_2020_100102
crossref_primary_10_3390_rs14051074
crossref_primary_10_1016_j_heliyon_2023_e13305
crossref_primary_10_1038_s41597_024_03339_4
crossref_primary_10_3390_data4010013
crossref_primary_10_3390_ijerph16204012
crossref_primary_10_3390_su11216056
crossref_primary_10_1073_pnas_1715305115
crossref_primary_10_1016_j_compenvurbsys_2019_01_006
crossref_primary_10_3390_data3030030
crossref_primary_10_3390_rs12244059
crossref_primary_10_3390_su14148668
crossref_primary_10_1016_j_scitotenv_2018_12_276
crossref_primary_10_1038_s41597_023_02305_w
crossref_primary_10_1016_j_compenvurbsys_2024_102072
crossref_primary_10_3390_urbansci5020048
crossref_primary_10_1109_JSTARS_2023_3238188
crossref_primary_10_3390_s18082558
crossref_primary_10_3390_rs12233847
crossref_primary_10_5194_essd_11_1385_2019
crossref_primary_10_1038_s41597_022_01603_z
crossref_primary_10_1016_S2215_0366_20_30398_9
crossref_primary_10_3390_ijgi10100681
crossref_primary_10_1016_j_rsase_2020_100435
crossref_primary_10_1080_17538947_2019_1633424
crossref_primary_10_1111_1749_4877_12490
crossref_primary_10_1002_cl2_1149
crossref_primary_10_1080_17538947_2018_1548656
crossref_primary_10_1038_s41597_019_0329_6
crossref_primary_10_1080_03031853_2019_1653203
crossref_primary_10_1080_20964471_2019_1625151
crossref_primary_10_1109_LGRS_2023_3285551
crossref_primary_10_1089_vbz_2022_0020
crossref_primary_10_1080_17538947_2021_2013553
crossref_primary_10_1038_s41597_024_03061_1
crossref_primary_10_1088_1748_9326_ac8755
crossref_primary_10_3390_su11205674
crossref_primary_10_3390_su13137329
crossref_primary_10_3390_rs13040631
crossref_primary_10_1109_JSTARS_2021_3086139
crossref_primary_10_1007_s11111_019_00329_2
crossref_primary_10_1061_JUPDDM_UPENG_4922
Cites_doi 10.1016/j.isprsjprs.2011.11.002
10.1016/S0065-308X(05)62004-0
10.1016/j.gloplacha.2005.07.004
10.1038/sdata.2015.45
10.1016/S0924-2716(01)00040-5
10.1111/j.1467-9353.2007.00360.x
10.1126/science.1244693
10.1559/152304010792194976
10.1016/j.apgeog.2013.11.013
10.1007/s10708-007-9105-9
10.1007/BF00058655
10.1109/LGRS.2013.2272953
10.1038/ngeo2590
10.2307/142820
10.1080/01621459.1952.10483441
10.1086/382255
10.1111/j.1469-185X.2007.00028.x
10.1038/s41561-017-0004-5
10.1371/journal.pone.0055882
10.1559/152304010792194985
10.3390/ijgi1020146
10.1007/s11111-007-0048-3
10.1002/(SICI)1099-1220(199709)3:3<203::AID-IJPG68>3.0.CO;2-C
10.1007/s10708-007-9101-0
10.1016/j.gloenvcha.2016.04.012
10.1038/sdata.2016.5
10.1016/j.compenvurbsys.2010.07.005
10.1016/j.jag.2007.04.002
10.1080/00438243.1971.9979483
10.1073/pnas.95.24.14009
10.1073/pnas.0403470101
10.1111/0033-0124.10042
10.1029/2008EO100001
10.1023/A:1006496023729
10.14358/PERS.71.6.719
10.1016/j.rse.2010.03.003
10.1007/s10707-009-0077-4
10.1007/s10708-004-4946-y
10.1023/A:1010933404324
10.1080/00401706.1964.10490181
10.1146/annurev.an.01.100172.001015
10.1007/s10708-010-9364-8
10.1559/152304006779077309
10.1080/00045608.2013.843439
10.1371/journal.pone.0001298
10.1126/science.1088665
10.1109/JSTARS.2013.2271445
10.1038/sdata.2017.1
10.1002/joc.1276
10.1016/S1473-3099(04)01043-6
10.1126/science.278.5341.1209c
10.2307/1937887
10.1177/0956247807076960
10.1016/S0169-2046(01)00160-8
10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2
10.1016/j.rse.2006.11.020
10.1016/j.foodpol.2010.05.006
10.1068/a36202
10.1146/annurev.es.23.110192.000351
10.1111/j.1365-2699.2006.01575.x
10.12927/whp.2014.23722
10.1016/j.techsoc.2005.10.005
10.1016/j.landurbplan.2010.03.001
10.2307/277900
10.1371/journal.pone.0107042
10.1371/journal.pone.0020578
ContentType Journal Article
Copyright 2017 The Authors.
Copyright The Royal Society Publishing Dec 2017
2017 The Authors. 2017
Copyright_xml – notice: 2017 The Authors.
– notice: Copyright The Royal Society Publishing Dec 2017
– notice: 2017 The Authors. 2017
DBID CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
7QG
7QP
7SN
7SS
7TK
C1K
7X8
5PM
DOI 10.1098/rsif.2017.0401
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
Animal Behavior Abstracts
Calcium & Calcified Tissue Abstracts
Ecology Abstracts
Entomology Abstracts (Full archive)
Neurosciences Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
Entomology Abstracts
Ecology Abstracts
Calcium & Calcified Tissue Abstracts
Neurosciences Abstracts
Animal Behavior Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList CrossRef
Entomology Abstracts

MEDLINE - Academic

MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
Geography
DocumentTitleAlternate Examining the correlates and drivers of human population distributions across low- and middle-income countries
EISSN 1742-5662
EndPage 20170401
ExternalDocumentID 10_1098_rsif_2017_0401
29237823
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: Wellcome Trust
  grantid: 106866/Z/15/Z
  funderid: http://dx.doi.org/10.13039/100004440
– fundername: Economic and Social Research Council
  funderid: http://dx.doi.org/10.13039/501100000269
– fundername: Clinton Health Access Initiative
– fundername: Science and Technology Directorate
  funderid: http://dx.doi.org/10.13039/100008287
– fundername: Fogarty International Center
  funderid: http://dx.doi.org/10.13039/100000061
– fundername: NIH/NAID
  grantid: U19AI089674
– fundername: Bill and Melinda Gates Foundation
  grantid: OPP1032350; OPP1106427; OPP1134076
  funderid: http://dx.doi.org/10.13039/100000865
– fundername: ;
– fundername: ;
  grantid: OPP1032350; OPP1106427; OPP1134076
– fundername: ;
  grantid: 106866/Z/15/Z
– fundername: ;
  grantid: U19AI089674
GroupedDBID ---
0R~
18M
29L
2WC
4.4
53G
5GY
5VS
ABXXB
ACGFO
ACQIA
ADBBV
ADDVE
AENEX
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BTFSW
CS3
DIK
DU5
EBS
EJD
GX1
HH5
HYE
HZ~
ICLEN
KQ8
MRS
MV1
NSAHA
O9-
OK1
OP1
P2P
RHF
RPM
RRY
TR2
V1E
W8F
XSW
AFFVI
AJZGM
ALMYZ
BGBPD
C1A
CAG
CGR
COF
CUY
CVF
ECM
EIF
H13
NPM
ROL
S70
AAYXX
AGPVY
CITATION
7QG
7QP
7SN
7SS
7TK
C1K
7X8
5PM
ID FETCH-LOGICAL-c462t-154e5d2d2ee9e1012d0f1ff7ef982346759f22b84202f92d4638f71244e20c1b3
IEDL.DBID RPM
ISSN 1742-5689
IngestDate Tue Sep 17 21:27:03 EDT 2024
Fri Oct 25 10:25:16 EDT 2024
Thu Oct 10 20:18:44 EDT 2024
Fri Dec 06 00:48:51 EST 2024
Sat Sep 28 08:36:49 EDT 2024
Wed Jan 17 02:36:30 EST 2024
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 137
Keywords random forests
disaggregation
mapping
dasymetric
census
population
Language English
License open-access: Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
2017 The Authors.
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c462t-154e5d2d2ee9e1012d0f1ff7ef982346759f22b84202f92d4638f71244e20c1b3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Electronic supplementary material is available online at https://dx.doi.org/10.6084/m9.figshare.c.3941356.
Present address: Geography and Environment, University of Southampton, Building 44, Room 54/2001, University Road, Southampton SO17 1BJ, UK.
ORCID 0000-0002-7423-1341
OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746564/
PMID 29237823
PQID 1983675803
PQPubID 2046225
PageCount 1
ParticipantIDs royalsociety_journals_10_1098_rsif_2017_0401
proquest_miscellaneous_1977200619
proquest_journals_1983675803
crossref_primary_10_1098_rsif_2017_0401
pubmedcentral_primary_oai_pubmedcentral_nih_gov_5746564
pubmed_primary_29237823
PublicationCentury 2000
PublicationDate 2017-12-01
PublicationDateYYYYMMDD 2017-12-01
PublicationDate_xml – month: 12
  year: 2017
  text: 2017-12-01
  day: 01
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle Journal of the Royal Society interface
PublicationTitleAbbrev J. R. Soc. Interface
PublicationTitleAlternate J R Soc Interface
PublicationYear 2017
Publisher The Royal Society
The Royal Society Publishing
Publisher_xml – name: The Royal Society
– name: The Royal Society Publishing
References UN (e_1_3_6_18_2) 2015
e_1_3_6_30_2
e_1_3_6_51_2
e_1_3_6_76_2
e_1_3_6_32_2
e_1_3_6_53_2
e_1_3_6_74_2
e_1_3_6_95_2
Holdren JP (e_1_3_6_13_2) 1974; 62
Earth Observation Group NNGDC (e_1_3_6_60_2) 2013
e_1_3_6_93_2
Small C (e_1_3_6_82_2) 2003; 19
e_1_3_6_91_2
UN (e_1_3_6_16_2) 2015
Mennis J (e_1_3_6_34_2) 2003; 55
CIESIN (e_1_3_6_21_2) 2011
e_1_3_6_38_2
e_1_3_6_59_2
Numerical Terradynamic Simulation Group/University of Montana (e_1_3_6_63_2) 2015
e_1_3_6_11_2
Team Rc (e_1_3_6_68_2) 2015
e_1_3_6_55_2
e_1_3_6_15_2
e_1_3_6_36_2
e_1_3_6_57_2
e_1_3_6_78_2
Liaw A (e_1_3_6_39_2) 2002; 3
e_1_3_6_40_2
e_1_3_6_65_2
e_1_3_6_86_2
e_1_3_6_42_2
e_1_3_6_84_2
e_1_3_6_80_2
e_1_3_6_4_2
e_1_3_6_2_2
United States National Imagery and Mapping Agency (e_1_3_6_61_2) 1997
e_1_3_6_8_2
Weisler M (e_1_3_6_6_2) 1985; 7
Charles H (e_1_3_6_73_2) 2014; 369
e_1_3_6_27_2
e_1_3_6_48_2
e_1_3_6_29_2
Dobson JE (e_1_3_6_23_2) 2000; 66
e_1_3_6_44_2
e_1_3_6_69_2
e_1_3_6_25_2
e_1_3_6_46_2
e_1_3_6_67_2
e_1_3_6_88_2
e_1_3_6_52_2
e_1_3_6_75_2
e_1_3_6_31_2
e_1_3_6_10_2
e_1_3_6_71_2
e_1_3_6_94_2
e_1_3_6_50_2
e_1_3_6_92_2
e_1_3_6_90_2
European Space Agency (e_1_3_6_54_2) 2013
OpenStreetMap Contributers (e_1_3_6_56_2) 2017
Holm S (e_1_3_6_72_2) 1979; 6
Rosner B (e_1_3_6_70_2) 2011
e_1_3_6_14_2
e_1_3_6_37_2
e_1_3_6_12_2
UN (e_1_3_6_17_2) 2015
e_1_3_6_33_2
e_1_3_6_79_2
e_1_3_6_35_2
e_1_3_6_77_2
e_1_3_6_41_2
e_1_3_6_64_2
e_1_3_6_87_2
e_1_3_6_20_2
e_1_3_6_43_2
e_1_3_6_62_2
e_1_3_6_85_2
e_1_3_6_83_2
e_1_3_6_81_2
e_1_3_6_5_2
Pesaresi M (e_1_3_6_58_2) 2016
e_1_3_6_3_2
e_1_3_6_9_2
e_1_3_6_7_2
Balk D (e_1_3_6_19_2) 2004
e_1_3_6_49_2
European Commission, Columbia University for IESIN-C (e_1_3_6_26_2) 2015
e_1_3_6_28_2
Haklay M (e_1_3_6_89_2) 2010; 37
e_1_3_6_22_2
e_1_3_6_45_2
e_1_3_6_24_2
e_1_3_6_47_2
e_1_3_6_66_2
References_xml – volume: 3
  start-page: 18
  year: 2002
  ident: e_1_3_6_39_2
  article-title: Classification and regression by RandomForest
  publication-title: R News
  contributor:
    fullname: Liaw A
– ident: e_1_3_6_40_2
  doi: 10.1016/j.isprsjprs.2011.11.002
– volume-title: Global rural urban mapping project (GRUMP)
  year: 2011
  ident: e_1_3_6_21_2
  contributor:
    fullname: CIESIN
– ident: e_1_3_6_22_2
  doi: 10.1016/S0065-308X(05)62004-0
– ident: e_1_3_6_79_2
– ident: e_1_3_6_84_2
  doi: 10.1016/j.gloplacha.2005.07.004
– ident: e_1_3_6_90_2
– ident: e_1_3_6_30_2
  doi: 10.1038/sdata.2015.45
– volume: 37
  start-page: 682
  year: 2010
  ident: e_1_3_6_89_2
  article-title: How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets
  publication-title: Environ. Plan B. Urban Anal. City Sci.
  contributor:
    fullname: Haklay M
– volume: 62
  start-page: 282
  year: 1974
  ident: e_1_3_6_13_2
  article-title: Human population and the global environment: population growth, rising per capita material consumption, and disruptive technologies have made civilization a global ecological force
  publication-title: Am. Sci.
  contributor:
    fullname: Holdren JP
– volume-title: GHS population grid, derived from GPW4, multitemporal [1975, 1990, 2000, 2015]
  year: 2015
  ident: e_1_3_6_26_2
  contributor:
    fullname: European Commission, Columbia University for IESIN-C
– ident: e_1_3_6_11_2
  doi: 10.1016/S0924-2716(01)00040-5
– year: 2015
  ident: e_1_3_6_18_2
  publication-title: World population prospects: the 2014 revision
  contributor:
    fullname: UN
– ident: e_1_3_6_32_2
  doi: 10.1111/j.1467-9353.2007.00360.x
– ident: e_1_3_6_94_2
  doi: 10.1126/science.1244693
– ident: e_1_3_6_35_2
  doi: 10.1559/152304010792194976
– volume-title: Openstreetmap (OSM) database
  year: 2017
  ident: e_1_3_6_56_2
  contributor:
    fullname: OpenStreetMap Contributers
– ident: e_1_3_6_31_2
  doi: 10.1016/j.apgeog.2013.11.013
– ident: e_1_3_6_24_2
  doi: 10.1007/s10708-007-9105-9
– start-page: 516
  volume-title: Fundamentals of biostatistics
  year: 2011
  ident: e_1_3_6_70_2
  contributor:
    fullname: Rosner B
– ident: e_1_3_6_41_2
  doi: 10.1007/BF00058655
– volume-title: Operating procedure for the production of the global human settlement layer from landsat data of the epochs 1975, 1990, 2000, and 2014
  year: 2016
  ident: e_1_3_6_58_2
  contributor:
    fullname: Pesaresi M
– ident: e_1_3_6_65_2
  doi: 10.1109/LGRS.2013.2272953
– volume: 66
  start-page: 849
  year: 2000
  ident: e_1_3_6_23_2
  article-title: A global population database for estimating populations at risk
  publication-title: Photogramm. Eng. Remote Sens.
  contributor:
    fullname: Dobson JE
– ident: e_1_3_6_92_2
  doi: 10.1038/ngeo2590
– ident: e_1_3_6_87_2
  doi: 10.2307/142820
– ident: e_1_3_6_69_2
  doi: 10.1080/01621459.1952.10483441
– ident: e_1_3_6_47_2
  doi: 10.1086/382255
– ident: e_1_3_6_51_2
  doi: 10.1111/j.1469-185X.2007.00028.x
– volume-title: VIIRS nighttime lights—2012 (two month composite)
  year: 2013
  ident: e_1_3_6_60_2
  contributor:
    fullname: Earth Observation Group NNGDC
– ident: e_1_3_6_55_2
– ident: e_1_3_6_93_2
  doi: 10.1038/s41561-017-0004-5
– volume: 7
  start-page: 129
  year: 1985
  ident: e_1_3_6_6_2
  article-title: The structure of settlement space in a Polynesian chiefdom: Kawela, Moloka'i, Hawaiian Islands
  publication-title: New Zeal J. Archaeol.
  contributor:
    fullname: Weisler M
– ident: e_1_3_6_29_2
  doi: 10.1371/journal.pone.0055882
– ident: e_1_3_6_67_2
  doi: 10.1559/152304010792194985
– ident: e_1_3_6_88_2
  doi: 10.3390/ijgi1020146
– volume: 369
  start-page: 1639
  year: 2014
  ident: e_1_3_6_73_2
  article-title: Food security and sustainable intensification
  publication-title: Phil. Trans. R. Soc. B
  contributor:
    fullname: Charles H
– ident: e_1_3_6_14_2
  doi: 10.1007/s11111-007-0048-3
– ident: e_1_3_6_42_2
  doi: 10.1002/(SICI)1099-1220(199709)3:3<203::AID-IJPG68>3.0.CO;2-C
– ident: e_1_3_6_25_2
  doi: 10.1007/s10708-007-9101-0
– ident: e_1_3_6_91_2
  doi: 10.1016/j.gloenvcha.2016.04.012
– ident: e_1_3_6_95_2
  doi: 10.1038/sdata.2016.5
– ident: e_1_3_6_86_2
  doi: 10.1016/j.compenvurbsys.2010.07.005
– ident: e_1_3_6_80_2
  doi: 10.1016/j.jag.2007.04.002
– ident: e_1_3_6_7_2
  doi: 10.1080/00438243.1971.9979483
– ident: e_1_3_6_45_2
  doi: 10.1073/pnas.95.24.14009
– ident: e_1_3_6_3_2
  doi: 10.1073/pnas.0403470101
– volume: 55
  start-page: 31
  year: 2003
  ident: e_1_3_6_34_2
  article-title: Generating surface models of population using dasymetric mapping
  publication-title: Prof. Geogr.
  doi: 10.1111/0033-0124.10042
  contributor:
    fullname: Mennis J
– volume-title: Globcover, version 2.3
  year: 2013
  ident: e_1_3_6_54_2
  contributor:
    fullname: European Space Agency
– ident: e_1_3_6_62_2
  doi: 10.1029/2008EO100001
– ident: e_1_3_6_46_2
  doi: 10.1023/A:1006496023729
– ident: e_1_3_6_12_2
  doi: 10.14358/PERS.71.6.719
– ident: e_1_3_6_59_2
  doi: 10.1016/j.rse.2010.03.003
– volume-title: MODIS 17a3, v. 55
  year: 2015
  ident: e_1_3_6_63_2
  contributor:
    fullname: Numerical Terradynamic Simulation Group/University of Montana
– ident: e_1_3_6_20_2
– ident: e_1_3_6_85_2
  doi: 10.1007/s10707-009-0077-4
– ident: e_1_3_6_10_2
  doi: 10.1007/s10708-004-4946-y
– ident: e_1_3_6_38_2
  doi: 10.1023/A:1010933404324
– ident: e_1_3_6_71_2
  doi: 10.1080/00401706.1964.10490181
– ident: e_1_3_6_4_2
  doi: 10.1146/annurev.an.01.100172.001015
– ident: e_1_3_6_28_2
  doi: 10.1007/s10708-010-9364-8
– ident: e_1_3_6_33_2
  doi: 10.1559/152304006779077309
– ident: e_1_3_6_36_2
  doi: 10.1080/00045608.2013.843439
– ident: e_1_3_6_50_2
  doi: 10.1371/journal.pone.0001298
– ident: e_1_3_6_15_2
  doi: 10.1126/science.1088665
– ident: e_1_3_6_66_2
  doi: 10.1109/JSTARS.2013.2271445
– ident: e_1_3_6_53_2
  doi: 10.1038/sdata.2017.1
– ident: e_1_3_6_64_2
  doi: 10.1002/joc.1276
– ident: e_1_3_6_75_2
  doi: 10.1016/S1473-3099(04)01043-6
– ident: e_1_3_6_83_2
  doi: 10.1126/science.278.5341.1209c
– ident: e_1_3_6_37_2
  doi: 10.2307/1937887
– ident: e_1_3_6_52_2
– ident: e_1_3_6_2_2
  doi: 10.1177/0956247807076960
– ident: e_1_3_6_78_2
  doi: 10.1016/S0169-2046(01)00160-8
– ident: e_1_3_6_8_2
  doi: 10.1641/0006-3568(2002)052[0891:THFATL]2.0.CO;2
– ident: e_1_3_6_43_2
  doi: 10.1016/j.rse.2006.11.020
– volume-title: The global distribution of population: evaluating the gains in resolution refinement
  year: 2004
  ident: e_1_3_6_19_2
  contributor:
    fullname: Balk D
– ident: e_1_3_6_76_2
  doi: 10.1016/j.foodpol.2010.05.006
– volume-title: World urbanization prospects: the 2014 revision
  year: 2015
  ident: e_1_3_6_16_2
  contributor:
    fullname: UN
– volume: 19
  start-page: 584
  year: 2003
  ident: e_1_3_6_82_2
  article-title: A global analysis of human settlement in coastal zones
  publication-title: Coast Res.
  contributor:
    fullname: Small C
– volume-title: World population prospects: the 2015 revision—Key findings
  year: 2015
  ident: e_1_3_6_17_2
  contributor:
    fullname: UN
– volume: 6
  start-page: 65
  year: 1979
  ident: e_1_3_6_72_2
  article-title: A simple sequentially rejective multiple test procedure
  publication-title: Scandanavian J. Stat.
  contributor:
    fullname: Holm S
– ident: e_1_3_6_48_2
  doi: 10.1068/a36202
– ident: e_1_3_6_57_2
– ident: e_1_3_6_9_2
  doi: 10.1146/annurev.es.23.110192.000351
– ident: e_1_3_6_44_2
  doi: 10.1111/j.1365-2699.2006.01575.x
– ident: e_1_3_6_74_2
  doi: 10.12927/whp.2014.23722
– ident: e_1_3_6_77_2
  doi: 10.1016/j.techsoc.2005.10.005
– volume-title: R: A language and environment for statistical computing
  year: 2015
  ident: e_1_3_6_68_2
  contributor:
    fullname: Team Rc
– volume-title: Vector map level 0 (VMAP0)
  year: 1997
  ident: e_1_3_6_61_2
  contributor:
    fullname: United States National Imagery and Mapping Agency
– ident: e_1_3_6_81_2
  doi: 10.1016/j.landurbplan.2010.03.001
– ident: e_1_3_6_5_2
  doi: 10.2307/277900
– ident: e_1_3_6_27_2
  doi: 10.1371/journal.pone.0107042
– ident: e_1_3_6_49_2
  doi: 10.1371/journal.pone.0020578
SSID ssj0037355
Score 2.4841301
Snippet Geographical factors have influenced the distributions and densities of global human population distributions for centuries. Climatic regimes have made some...
SourceID pubmedcentral
proquest
crossref
pubmed
royalsociety
SourceType Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 20170401
SubjectTerms Census
Continents
Dasymetric
Decision Trees
Demography
Developing Countries
Disaggregation
Economic models
Geography
Human populations
Humans
Income
Learning algorithms
Life Sciences–Earth Science interface
Low income groups
Machine Learning
Mapping
Population
Population Density
Population distribution
Population Dynamics
Population growth
Poverty
Random Forests
Regression Analysis
Spatial discrimination
Spatial distribution
Topography
Title Examining the correlates and drivers of human population distributions across low- and middle-income countries
URI https://royalsocietypublishing.org/doi/full/10.1098/rsif.2017.0401
https://www.ncbi.nlm.nih.gov/pubmed/29237823
https://www.proquest.com/docview/1983675803
https://search.proquest.com/docview/1977200619
https://pubmed.ncbi.nlm.nih.gov/PMC5746564
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1dS-QwFL04Pu3LsuquW1clgrAr2Jk2TafJo4giissuKPhW2iZhhWlmmA_Wn--96Qcz6JPPTds056Y5t7k9B-A0koVOTapDKU0aCto9VEpUocTc2WI8K-OLaO5_j28exe1T-rQFafcvjC_ar8rnoZvUQ_f8z9dWzupq1NWJjf7cX6YZqXyJ0QAGuPx2KXrz-k2yxFudItPGLGssVa_UKEeYfnvVzmyIoUseMRzpDS6Ryeai9IZpvlMwOafkftEUVq4tSNdf4HPLJNlF0-Md2DJuF3baubpgv1pB6bM9cFcvRe2NIBjSPVaRIceEOCYrnGZ67ksz2NQyb9jHZr2nF9Mkq9s6YmFr33s2mf4P_Zm1_7gRkr5DTZddOXLnWnyFx-urh8ubsPVZCCsx5ssQWRSixTU3RhnS-9KRja3NjFU4NvgmTZXlvJSCR9wqrgXOWZsRMTA8quIy-QbbburMd2Cc1FWlsElskBqYcVEIVaaVERnXOk5kAD-7gc5njZxG3myDy5zQyQmdnNAJ4LDDIW-n1SKPlUwow4mSAE76wzghaJejcGa6ojaYMBAzUwHsN7D1t-rwDiDbALRvQGLbm0cwBr3odhtzAZyvQ7_WtXef4uDDN_oBn-gqTeXMIWwv5ytzhPxnWR7D4O6vPPZR_wqfgwbE
link.rule.ids 230,314,727,780,784,885,27924,27925,53791,53793
linkProvider National Library of Medicine
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nb9QwEB2VcoALonwGChgJCZDIbuLYG_uIqlYLdCsOrdRblMS2qLTxrvZD7c9nxvnQruiJc5zE8RvHb-LJewCfElUaaaWJlbIyFrR7qLWoY4W5s8N41jYU0cwuJtMr8fNaXh-A7P-FCUX7dXUz8vNm5G_-hNrKZVOP-zqx8e_ZicxJ5UuMH8BDmeU67ZP09gWc5VkwO0WujXnWROlBq1GNMQEPup35CIOXXGI4EhxcJLP9ZekfrnlPyeSK0vt1W1q5sySdPYUnHZdk39s-H8GB9c_gqJuta_alk5T--hz86V3ZBCsIhoSP1WTJMSeWyUpvmFmF4gy2cCxY9rHl4OrFDAnrdp5Y2Dr0ns0Xt3E4swmfN2JSeGjosltP_lzrF3B1dnp5Mo07p4W4FhO-iZFHIV7ccGu1JcUvk7jUudw6jWOD71KpHeeVEjzhTnMjcNa6nKiB5UmdVtlLOPQLb18D46SvqoTLUovkwE7KUuhK1lbk3Jg0UxF87ge6WLaCGkW7Ea4KQqcgdApCJ4LjHoeim1jrItUqoxwnySL4OBzGKUH7HKW3iy21wZSBuJmO4FUL23CrHu8I8j1AhwYkt71_BKMwyG53URfBt13od7p271O8-e8bfYBH08vZeXH-4-LXW3hMV2zraI7hcLPa2nfIhjbV-xD7fwFgfwkk
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB5BkRAXRHkGChgJCZDIJrGdjX1EpavyaNUDlXqLkthWK228q30Ifj4zzkO7oifOcRzH3zj-Jh59H8D7VFUmt7mJlbJ5LOn0UGvZxApzZ4fxrG0oojk7n55eyu9X-dWO1Vco2m_qm4mftxN_cx1qK5dtkwx1YsnF2XFekMqXTJbGJXfhXi4wyIZEvfsIi0IEw1Pk25hrTZUe9RpVgkl40O4sJhjA5BTDkeTgRin2t6Z_-OYtZZMrSvHXXXnlzrY0ewQPez7JvnTjPoQ71j-Gw37FrtnHXlb60xPwJ3-qNthBMCR9rCFbjjkxTVZ5w8wqFGiwhWPBto8tR2cvZkhct_fFwtZh9Gy--B2HO9vwiyMmlYeWut168uhaP4XL2cmv49O4d1uIGznlmxi5FGLGDbdWW1L9MqnLnCus0zg3-D3NteO8VpKn3GluJK5cVxA9sDxtslo8gwO_8PYFME4aq0o6kVkkCHZaVVLXeWNlwY3JhIrgwzDR5bIT1Si7w3BVEjoloVMSOhEcDTiU_eJal5lWgvKcVETwbryMy4LOOipvF1tqg2kD8TMdwfMOtvFRA94RFHuAjg1Icnv_CkZikN7uIy-Cz7vQ7wzt1rd4-d8Pegv3L77Oyp_fzn-8ggfUYVdKcwQHm9XWvkZCtKnfhND_Cyj8Cjc
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Examining+the+correlates+and+drivers+of+human+population+distributions+across+low-+and+middle-income+countries&rft.jtitle=Journal+of+the+Royal+Society+interface&rft.au=Nieves%2C+Jeremiah+J.&rft.au=Stevens%2C+Forrest+R.&rft.au=Gaughan%2C+Andrea+E.&rft.au=Linard%2C+Catherine&rft.date=2017-12-01&rft.pub=The+Royal+Society&rft.issn=1742-5689&rft.eissn=1742-5662&rft.volume=14&rft.issue=137&rft_id=info:doi/10.1098%2Frsif.2017.0401&rft_id=info%3Apmid%2F29237823&rft.externalDBID=PMC5746564
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-5689&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-5689&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-5689&client=summon