Modelling changing population distributions: an example of the Kenyan Coast, 1979-2009

Large-scale gridded population datasets are usually produced for the year of input census data using a top-down approach and projected backward and forward in time using national growth rates. Such temporal projections do not include any subnational variation in population distribution trends and ig...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of digital earth Vol. 10; no. 10; pp. 1017 - 1029
Main Authors Linard, Catherine, Kabaria, Caroline W., Gilbert, Marius, Tatem, Andrew J., Gaughan, Andrea E., Stevens, Forrest R., Sorichetta, Alessandro, Noor, Abdisalan M., Snow, Robert W.
Format Journal Article
LanguageEnglish
Published England Taylor & Francis 03.10.2017
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Large-scale gridded population datasets are usually produced for the year of input census data using a top-down approach and projected backward and forward in time using national growth rates. Such temporal projections do not include any subnational variation in population distribution trends and ignore changes in geographical covariates such as urban land cover changes. Improved predictions of population distribution changes over time require the use of a limited number of covariates that are time-invariant or temporally explicit. Here we make use of recently released multi-temporal high-resolution global settlement layers, historical census data and latest developments in population distribution modelling methods to reconstruct population distribution changes over 30 years across the Kenyan Coast. We explore the methodological challenges associated with the production of gridded population distribution time-series in data-scarce countries and show that trade-offs have to be found between spatial and temporal resolutions when selecting the best modelling approach. Strategies used to fill data gaps may vary according to the local context and the objective of the study. This work will hopefully serve as a benchmark for future developments of population distribution time-series that are increasingly required for population-at-risk estimations and spatial modelling in various fields.
AbstractList Large-scale gridded population datasets are usually produced for the year of input census data using a top-down approach and projected backward and forward in time using national growth rates. Such temporal projections do not include any subnational variation in population distribution trends and ignore changes in geographical covariates such as urban land cover changes. Improved predictions of population distribution changes over time require the use of a limited number of covariates that are time-invariant or temporally explicit. Here we make use of recently released multi-temporal high-resolution global settlement layers, historical census data and latest developments in population distribution modelling methods to reconstruct population distribution changes over 30 years across the Kenyan Coast. We explore the methodological challenges associated with the production of gridded population distribution time-series in data-scarce countries and show that trade-offs have to be found between spatial and temporal resolutions when selecting the best modelling approach. Strategies used to fill data gaps may vary according to the local context and the objective of the study. This work will hopefully serve as a benchmark for future developments of population distribution time-series that are increasingly required for population-at-risk estimations and spatial modelling in various fields.
Author Gilbert, Marius
Tatem, Andrew J.
Kabaria, Caroline W.
Sorichetta, Alessandro
Snow, Robert W.
Stevens, Forrest R.
Noor, Abdisalan M.
Linard, Catherine
Gaughan, Andrea E.
Author_xml – sequence: 1
  givenname: Catherine
  surname: Linard
  fullname: Linard, Catherine
  email: linard.catherine@gmail.com
  organization: Department of Geography, Université de Namur
– sequence: 2
  givenname: Caroline W.
  surname: Kabaria
  fullname: Kabaria, Caroline W.
  organization: Spatial Health Metrics Group, KEMRI Wellcome Trust Research Programme
– sequence: 3
  givenname: Marius
  surname: Gilbert
  fullname: Gilbert, Marius
  organization: Fonds National de la Recherche Scientifique (F.R.S.-FNRS)
– sequence: 4
  givenname: Andrew J.
  surname: Tatem
  fullname: Tatem, Andrew J.
  organization: Flowminder Foundation
– sequence: 5
  givenname: Andrea E.
  surname: Gaughan
  fullname: Gaughan, Andrea E.
  organization: Department of Geography and Geosciences, University of Louisville
– sequence: 6
  givenname: Forrest R.
  surname: Stevens
  fullname: Stevens, Forrest R.
  organization: Department of Geography and Geosciences, University of Louisville
– sequence: 7
  givenname: Alessandro
  surname: Sorichetta
  fullname: Sorichetta, Alessandro
  organization: Flowminder Foundation
– sequence: 8
  givenname: Abdisalan M.
  surname: Noor
  fullname: Noor, Abdisalan M.
  organization: Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford
– sequence: 9
  givenname: Robert W.
  surname: Snow
  fullname: Snow, Robert W.
  organization: Nuffield Department of Clinical Medicine, Centre for Tropical Medicine and Global Health, University of Oxford
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29098016$$D View this record in MEDLINE/PubMed
BookMark eNp9kk2P0zAQhiO0iP2AnwCKxIUDKWM7jjMcEKjiY8UiLsDVcmK7dZXaxU6A_nsc2q1YDlz8MX7mHXv8XhZnPnhTFI8JLAi08IIIzlqsxYICaRaECt5SvFdczPGqRc7PTutanBeXKW0AGqhr9qA4pwjY5ryL4tunoM0wOL8q-7Xyq3mxC7tpUKMLvtQujdF107xJL0vlS_NLbXeDKYMtx7UpPxq_z9FlUGl8XhIUWFEAfFjct2pI5tFxviq-vnv7Zfmhuvn8_nr55qbqeUPHSrRMEETsemNBN60QPe8V5WiRtMCIQISW0I7WVOs88ow1ulUdB-CoFLsqrg-6OqiN3EW3VXEvg3LyTyDElVRxdP1gJNYEG2ug67StNTAULBfktaVdw61pstarg9Zu6rZG98aPUQ13RO-eeLeWq_BD8oZRpLPAs6NADN8nk0a5danP3VXehCnJXB-QMgSR0af_oJswRZ9blSnaoKg5sEzxA9XHkFI09nQZAnJ2gbx1gZxdII8uyHlP_n7JKev22zPw-gA4b0Pcqp8hDlqOaj-EaKPyvUuS_b_Gb283wM4
CitedBy_id crossref_primary_10_1016_j_jclepro_2020_120644
crossref_primary_10_3390_rs12244059
crossref_primary_10_3390_ijerph192215040
crossref_primary_10_1002_cl2_1149
crossref_primary_10_1080_17538947_2018_1548656
crossref_primary_10_3390_ijgi8040166
crossref_primary_10_1186_s12942_019_0180_1
crossref_primary_10_3390_ijgi8080341
crossref_primary_10_1016_j_ssaho_2020_100102
crossref_primary_10_1007_s11430_020_9866_2
crossref_primary_10_1186_s12942_020_00232_2
crossref_primary_10_3390_su11216056
crossref_primary_10_3390_ijgi8050222
crossref_primary_10_1098_rsbl_2018_0227
Cites_doi 10.1016/j.apgeog.2013.07.009
10.1371/journal.pone.0055882
10.1371/journal.pone.0031743
10.1177/0959683609356587
10.1073/pnas.1408439111
10.1016/B978-0-12-394303-3.00010-4
10.1109/JSTARS.2013.2271445
10.1007/s10708-007-9105-9
10.1016/j.jag.2014.09.005
10.1023/A:1010933404324
10.18356/527e5125-en
10.1016/S1473-3099(04)01043-6
10.1109/LGRS.2013.2272953
10.1007/s10708-007-9104-x
10.1080/01431160010007015
10.1038/sdata.2016.5
10.1111/j.1466-8238.2010.00587.x
10.1371/journal.pone.0107042
10.1016/S0140-6736(13)62566-0
10.1016/j.apgeog.2014.09.009
10.1016/S0065-308X(05)62004-0
10.1186/1476-072X-11-7
10.1186/1475-2875-12-133
10.1080/23754931.2015.1014272
10.1007/s10708-010-9364-8
ContentType Journal Article
Copyright 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2017
2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2017 The Author(s)
Copyright_xml – notice: 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2017
– notice: 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
– notice: 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2017 The Author(s)
DBID 0YH
NPM
AAYXX
CITATION
7ST
7UA
8FD
C1K
F1W
FR3
H8D
H96
KR7
L.G
L7M
SOI
7X8
5PM
DOA
DOI 10.1080/17538947.2016.1275829
DatabaseName Taylor & Francis Open Access
PubMed
CrossRef
Environment Abstracts
Water Resources Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Advanced Technologies Database with Aerospace
Environment Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
Directory of Open Access Journals
DatabaseTitle PubMed
CrossRef
Aerospace Database
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
Technology Research Database
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
Environment Abstracts
Advanced Technologies Database with Aerospace
Water Resources Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList
PubMed


Aerospace Database
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  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: 3
  dbid: 0YH
  name: Taylor & Francis Open Access
  url: https://www.tandfonline.com
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Environmental Sciences
EISSN 1753-8955
EndPage 1029
ExternalDocumentID oai_doaj_org_article_94196fe0bbdf4d0397368754f2b65fe6
10_1080_17538947_2016_1275829
29098016
1275829
Genre Articles
Journal Article
GrantInformation_xml – fundername: Wellcome Trust
  grantid: 095127; 106866/Z/15/Z; 103602
  funderid: 10.13039/100004440
– fundername: KEMRI-Wellcome Trust Overseas Programme
  grantid: 084538
  funderid: 10.13039/100004440
– fundername: Belgian Science Policy
  grantid: SR/00/304
– fundername: Bill and Melinda Gates Foundation
  grantid: OPP1106427; 1032350; OPP1134076
  funderid: 10.13039/100000865
– fundername: Wellcome Trust
– fundername: ; ;
  grantid: 084538
– fundername: ;
  grantid: SR/00/304
– fundername: ; ;
  grantid: OPP1106427; 1032350; OPP1134076
– fundername: ; ;
  grantid: 095127; 106866/Z/15/Z; 103602
GroupedDBID .7F
0R~
0YH
30N
4.4
5GY
AAAVI
AAJMT
ABBKH
ABCCY
ABDBF
ABFIM
ABJVF
ABPEM
ABPTK
ABQHQ
ABTAI
ACGFS
ACIWK
ACTIO
ADCVX
ADMSI
AEGYZ
AEISY
AENEX
AEYOC
AFKVX
AFOLD
AFRAH
AHDLD
AHDSZ
AIJEM
AIRXU
AJWEG
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AVBZW
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
DU5
EBS
EJD
ESX
FUNRP
FVPDL
GTTXZ
H13
HZ~
IPNFZ
J~4
KYCEM
M4Z
ML.
O9-
OK1
RIG
SNACF
TFL
TFT
TFW
TTHFI
TWF
TWN
UU3
V1K
VAE
AAHBH
AHDZW
NPM
TDBHL
AAYXX
CITATION
7ST
7UA
8FD
C1K
F1W
FR3
H8D
H96
KR7
L.G
L7M
SOI
7X8
5PM
GROUPED_DOAJ
ID FETCH-LOGICAL-c562t-78371999bcef0d6877c5ca259f9180317990812b242ddb245ef06d8ab50059aa3
IEDL.DBID 0YH
ISSN 1753-8947
IngestDate Tue Oct 22 15:12:17 EDT 2024
Tue Sep 17 20:58:38 EDT 2024
Wed Dec 04 07:36:39 EST 2024
Mon Oct 14 19:52:48 EDT 2024
Fri Dec 06 02:12:09 EST 2024
Sat Sep 28 08:25:58 EDT 2024
Tue Jul 04 18:16:24 EDT 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 10
Keywords Human population
gridded population datasets
Kenya
temporal change
distribution modelling
Language English
License open-access: http://creativecommons.org/licenses/by/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c562t-78371999bcef0d6877c5ca259f9180317990812b242ddb245ef06d8ab50059aa3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://www.tandfonline.com/doi/abs/10.1080/17538947.2016.1275829
PMID 29098016
PQID 1926974503
PQPubID 176143
PageCount 13
ParticipantIDs proquest_journals_1926974503
informaworld_taylorfrancis_310_1080_17538947_2016_1275829
doaj_primary_oai_doaj_org_article_94196fe0bbdf4d0397368754f2b65fe6
pubmedcentral_primary_oai_pubmedcentral_nih_gov_5632926
crossref_primary_10_1080_17538947_2016_1275829
proquest_miscellaneous_1960923907
pubmed_primary_29098016
PublicationCentury 2000
PublicationDate 2017-10-03
PublicationDateYYYYMMDD 2017-10-03
PublicationDate_xml – month: 10
  year: 2017
  text: 2017-10-03
  day: 03
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: Abingdon
PublicationTitle International journal of digital earth
PublicationTitleAlternate Int J Digit Earth
PublicationYear 2017
Publisher Taylor & Francis
Taylor & Francis Ltd
Taylor & Francis Group
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
– name: Taylor & Francis Group
References Dobson J. E. (CIT0009) 2000; 66
United Nations Population Division (CIT0042) 2014
CIT0010
CIT0012
CIT0011
CIT0033
Gaughan A. E. (CIT0017) 2014
Liaw A. (CIT0024) 2002; 2
CIT0013
CIT0035
CIT0016
CIT0038
CIT0015
CIT0037
CIT0018
CIT0039
CIT0019
CIT0041
CIT0040
CIT0020
CIT0001
CIT0003
CIT0025
CIT0027
CIT0004
CIT0026
CIT0028
CIT0008
References_xml – ident: CIT0028
  doi: 10.1016/j.apgeog.2013.07.009
– ident: CIT0016
  doi: 10.1371/journal.pone.0055882
– ident: CIT0025
  doi: 10.1371/journal.pone.0031743
– ident: CIT0018
  doi: 10.1177/0959683609356587
– ident: CIT0008
  doi: 10.1073/pnas.1408439111
– ident: CIT0038
  doi: 10.1016/B978-0-12-394303-3.00010-4
– ident: CIT0037
  doi: 10.1109/JSTARS.2013.2271445
– ident: CIT0003
  doi: 10.1007/s10708-007-9105-9
– ident: CIT0035
  doi: 10.1016/j.jag.2014.09.005
– ident: CIT0004
  doi: 10.1023/A:1010933404324
– volume-title: World Urbanization Prospects: The 2014 Revision
  year: 2014
  ident: CIT0042
  doi: 10.18356/527e5125-en
  contributor:
    fullname: United Nations Population Division
– ident: CIT0020
  doi: 10.1016/S1473-3099(04)01043-6
– ident: CIT0012
  doi: 10.1109/LGRS.2013.2272953
– ident: CIT0011
  doi: 10.1007/s10708-007-9104-x
– ident: CIT0040
  doi: 10.1080/01431160010007015
– ident: CIT0015
  doi: 10.1038/sdata.2016.5
– ident: CIT0019
  doi: 10.1111/j.1466-8238.2010.00587.x
– ident: CIT0039
  doi: 10.1371/journal.pone.0107042
– ident: CIT0033
  doi: 10.1016/S0140-6736(13)62566-0
– volume: 66
  start-page: 849
  issue: 7
  year: 2000
  ident: CIT0009
  publication-title: Photogrammetric Engineering and Remote Sensing
  contributor:
    fullname: Dobson J. E.
– ident: CIT0013
  doi: 10.1016/j.apgeog.2014.09.009
– start-page: 1
  year: 2014
  ident: CIT0017
  publication-title: International Journal of Digital Earth
  contributor:
    fullname: Gaughan A. E.
– ident: CIT0001
  doi: 10.1016/S0065-308X(05)62004-0
– ident: CIT0027
  doi: 10.1186/1476-072X-11-7
– volume: 2
  start-page: 18
  year: 2002
  ident: CIT0024
  publication-title: R News
  contributor:
    fullname: Liaw A.
– ident: CIT0041
  doi: 10.1186/1475-2875-12-133
– ident: CIT0010
  doi: 10.1080/23754931.2015.1014272
– ident: CIT0026
  doi: 10.1007/s10708-010-9364-8
SSID ssj0060443
Score 2.2242606
Snippet Large-scale gridded population datasets are usually produced for the year of input census data using a top-down approach and projected backward and forward in...
SourceID doaj
pubmedcentral
proquest
crossref
pubmed
informaworld
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Publisher
StartPage 1017
SubjectTerms Biological settlement
Census
Censuses
Coastal environments
Distribution
distribution modelling
gridded population datasets
Growth rate
High resolution
Historic sites
Human population
Kenya
Land cover
Modelling
Population
Population distribution
Spatial distribution
temporal change
Time series
SummonAdditionalLinks – databaseName: Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NS_QwEA7iyYu8r599_SCCR6tpm-bDm4oigp4U9haSNuH10hW3gt78D_5Df4kzTbvuiuDFS1mSQJuZSeeZ7cwzhOzbOquQlCVFppaUyzykOvgi9Zm22nMIoC3WO1_fiMs7fjUqRzOtvjAnLNIDR8EdaQ42Ejxzrg68ZuA-CwEYm4fciTL4SLbN8iGYiu9gwXhMrQcwnirN5VC7o9gRjuEQpnWJQ-Q3Vx2-_PRKHXn_F-rS7wDo1zzKGcd08Ycs94iSnsSd_CULvlkh6-efBWww2Z_gySoZYfOzjoebdjW_-ONh2sSL1sij27fAmhxT21D_bJFAmI4DBaxI4cX8AqNnYztpD2impX5_fcNvH2vk7uL89uwy7bsrpBVgnjaVEJoiB4GrfGA1yFRWZWUhGgo6U3DUJfgp8P4OfHhdw7WEZaJW1pVYsGptsU4Wm3HjNwm1wllVKoZkb1zqSgUfnAKoWDEY9VlCDgfpmodIomGynpt0UIdBdZheHQk5RR1MFyMHdjcAlmF6yzA_WUZC9KwGTdv9BRJivxJT_PAA24O6TX-oJwbAsIDwq2RFQvam03Ac8RuLbfz4CdcIBlLQTCZkI1rHdBe5ZhoAATyYnLObuW3OzzT3_zvK71IUOdz932_IZYss5YhNMAui2CaL7eOT3wFk1brd7hB9AIwzGtg
  priority: 102
  providerName: Directory of Open Access Journals
Title Modelling changing population distributions: an example of the Kenyan Coast, 1979-2009
URI https://www.tandfonline.com/doi/abs/10.1080/17538947.2016.1275829
https://www.ncbi.nlm.nih.gov/pubmed/29098016
https://www.proquest.com/docview/1926974503
https://search.proquest.com/docview/1960923907
https://pubmed.ncbi.nlm.nih.gov/PMC5632926
https://doaj.org/article/94196fe0bbdf4d0397368754f2b65fe6
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV09b9YwELagLCyIFgqhpTISIylO4s9upWr1ColOFMFk2YkNLEnVpFL599w5zkvfCtSBJYps58M5n_2cc_ccIW9dV7VIylIiU0vJVR1LE0NThso4EzgY0A7jnT-dy9UF__hVLN6EY3arRBs6zkQRaa5G5XZ-XDzi3iO5pDZcoWOWPESGcl2bh-QRUpVjEgP2bbVMxpLx2cceLinxmiWI51-32VieEov_HQ7TvyHRuw6Vt1aos6fkSYaW9HgeC9vkQeh3yO7pn0g2qMyqPD4jXzALWiLkpin4F08u19m8aIeEujkX1nhEXU_DjUMmYTpECqCRwgz9C0pPBjdO72hllEFVMM_Jxdnp55NVmZMslC1An6lUYKEiFYFvQ2Sd1Eq1onVgFEVTadB4BcsVgAAPS3nXwVFAM9lp5wXGrTrX7JKtfujDS0Kd9E4LzZDzjSvT6hii14AYWwaloSrI4fJt7eXMpWGrTFG6CMOiMGwWRkE-oATWjZEKOxUMV99t1ixrOEwiMTDvu8g7BviqgV4IHmsvRQyyIOa2_OyUdkLinLbENve8wP4ibJt1e7SAiSVYYYI1BXmzrgatxF8trg_DNbaRDL6CYaogL-axse5FbZgBXAAvpjZGzUY3N2v6nz8S87eQTQ1Pf_UfXdojj2tEJugD0eyTrenqOrwGXDX5g6Q5cGzY-UHam_gN-DQX8w
link.rule.ids 230,314,780,784,864,885,2102,27502,27924,27925,59143,59144,59886,60675
linkProvider Taylor & Francis
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB5BOcClPAsLBYzEkSzOwy9uULVaoN1Ti3qz7MQGhJRU3axU-PXM5LHsrkAcellFtrPJOOPxN8nMNwCvXZWWRMqSEFNLUqgsJiaGPAmpcSYU6EA7ync-mcvZWfHpXJyv5cJQWCX50LEniuhsNS1uehk9hsS9JXZJbQpFkVlyShTlOjM34ZYwWpOW53w-WmPJiz7IHk9J6Jwxi-dff7OxP3U0_lskpn-DotsRlWtb1NFdKEfh-siUH9Nl66flry3ex-tJfw92BwTL3vcqdx9uhPoB7B3-SZjDzsFiLB7CFyq21vF-sy7HmA4uVkXDWEW8vUPJrcU75moWrhwRFrMmMsSmDDeCn9h60LhF-4alRhlaceYRnB0dnh7MkqGWQ1IiwmoThY4wMR74MkReSa1UKUqHvlc0qUbDonBXRKzhETFUFf4KHCYr7byg9Fjn8j3YqZs6PAHmpHdaaE7UcoUypY4heo3AtOTYGtIJTMcnaC96yg6bDkyo49xZmjs7zN0EPtBzXg0mxu2uobn8aocFbE2BtioG7n0Vi4ojjMtRClHEzEsRg5yAWdcS23YvXGJfHcXm_7mB_VGl7GBCFhaht0RnT_B8Aq9W3bj46YuOq0OzpDGS4ywYribwuNfAlRSZ4QbhB96Y2tDNDTE3e-rv3zqCcSHzDK_-9BoivYTbs9OTY3v8cf75GdzJCAxR2EW-Dzvt5TI8RyjX-hfdWv0NGyQ5vw
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwED_BkBAvMD4GgQFG4pEUJ3HsmDc2Vo2vigeGeLPsxAaElFRLKrH99dzlo6wViIe9VJXttDnn7vy79u53AM9tlZREyhITU0ssVBpiHXwW-0Rb7QUG0JbqnT8u5PGJePc1n7IJ2zGtkmLoMBBF9L6ajHtZhSkj7iWRSxZaKErMkjNiKC9SfRWuSUK_VMXBF5MzllwMOfZ4SUzXTEU8__qYjeOpZ_Hf4jD9GxLdTqi8cELNb4GbZBsSU37OVp2bledbtI-XEn4Xbo74lb0eFO42XPH1Hdg7-lMuh5Ojv2jvwhdqtdazfrO-wpjeLNctw1hFrL1jw632FbM1878s0RWzJjBEpgyPgTMcPWxs271giVaa7E3fg5P50efD43js5BCXiK-6WGEYTHwHrvSBV7JQqsxLi5FX0EmBbkXhmYhIwyFeqCp8zXGZrArrciqOtTbbg526qf0DYFY6W-QFJ2I5oXRZBB9cgbC05Djqkwhm0wM0y4GwwyQjD-q0d4b2zox7F8EBPeb1YuLb7gea029mNF-jBXqq4LlzVRAVRxCXoRS5CKmTefAyAn1RSUzX_9wSht4oJvvPDexPGmVGB9IaBN4SQ72cZxE8W0-j6dP_Obb2zYrWSI67oLmK4P6ggGspUs01gg-8MbWhmhtibs7UP7739OK5zFL89oeXEOkpXP_0Zm4-vF28fwQ3UkJClHOR7cNOd7ryjxHHde5Jb6m_AQdJOGM
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=Modelling+changing+population+distributions%3A+an+example+of+the+Kenyan+Coast%2C+1979%E2%80%932009&rft.jtitle=International+journal+of+digital+earth&rft.au=Linard%2C+Catherine&rft.au=Kabaria%2C+Caroline+W.&rft.au=Gilbert%2C+Marius&rft.au=Tatem%2C+Andrew+J.&rft.date=2017-10-03&rft.pub=Taylor+%26+Francis&rft.issn=1753-8947&rft.eissn=1753-8955&rft.volume=10&rft.issue=10&rft.spage=1017&rft.epage=1029&rft_id=info:doi/10.1080%2F17538947.2016.1275829&rft_id=info%3Apmid%2F29098016&rft.externalDBID=PMC5632926
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1753-8947&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1753-8947&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1753-8947&client=summon