Improving Large Area Population Mapping Using Geotweet Densities

Transactions in GIS

Volumn 21, Issue 2, 2017, Pages 317-331

  Patel, Nirav N ^a   Stevens, Forrest R ^b   Huang, Zhuojie ^c   Gaughan, Andrea E ^b   Elyazar, Iqbal ^d   Tatem, Andrew J ^e,f,g  

^a GEORGE MASON UNIVERSITY   (United States)

^b UNIVERSITY OF LOUISVILLE   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d OXFORD UNIVERSITY CLINICAL RESEARCH UNIT   (Viet Nam)

^e UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^f NATIONAL INSTITUTES OF HEALTH   (United States)

^g FLOWMINDER FOUNDATION   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; POPULATION DISTRIBUTION; SOCIAL NETWORKING (ONLINE);

CENSUS DATA; COVARIATES; DATA SET; FINE-SCALE; GEO-SPATIAL; HIGH RESOLUTION; POPULATION DATA; POPULATION DENSITIES; SOCIAL MEDIA; URBAN AREAS;

POPULATION STATISTICS;

CENSUS; DATA SET; MAPPING; POPULATION DENSITY; POPULATION DISTRIBUTION; SOCIAL MEDIA;

INDONESIA;

EID: 84978050018     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/tgis.12214     Document Type: Article

References (43)

1. Balk D and Yetman G 2004 The global distribution of population: Evaluating the gains in resolution refinement. WWW document, http://sedac.ciesin.org/gpw/docs/gpw3_documentation_final.pdf
2. Balk D, Pozzi F, Yetman G, Deichmann, U, and Nelson A 2005 The distribution of people and the dimension of place: Methodologies to improve the global estimation of urban extents. In Proceedings of the Urban Remote Sensing Conference, Tempe, Arizona
3. Balk D, Deichmann U, Yetman G, Pozzi F, Hay S I, and Nelson A 2006 Determining global population distribution: Methods, applications and data. In Hay S I, Graham A, and Rogers D J (eds) Global Mapping of Infectious Diseases: Methods, Examples and Emerging Applications. San Diego, CA, Academic Press: 119–56
4. Bhaduri B, Bright E, Coleman P, and Urban M L 2007 LandScan USA: A high-resolution geospatial and temporal modeling approach for population distribution and dynamics. GeoJournal 69: 103–17
5. Blanford J I, Huang Z, Savelyev A, and MacEachren A M 2015 Geo-located tweets: Enhancing mobility maps and capturing cross-border movement. PLoS ONE 10(6): e0129202
6. Bongaarts J 2009 Human population growth and the demographic transition. Philosophical Transactions of the Royal Society B: Biological Sciences 364: 2985–990
7. Breiman L 1996 Bagging predictors. Machine Learning 24(2): 123–40
8. Breiman L 2001 Random forests. Machine Learning 45(1): 5–32
9. Cheriyadat A, Bright E, Potere D, and Bhaduri B 2007 Mapping of settlements in high resolution satellite imagery using high performance computing. GeoJournal 69: 119–29
10. Deichmann U 1996 A Review of Spatial Population Database Design and Modeling. Santa Barbara, CA, National Center for Geographic Information and Analysis Technical Report 96–3
11. Deville P, Linard C, Martin S, Gilbert M, Stevens F R, Gaughan A E, Blondela V D, and Tatem A J 2014 Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences, USA 111: 15888–93
12. Dobson J E, Bright E A, Coleman P R, Durfee R C, and Worley B A 2000 LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing 66: 849–57
13. Gaughan A E, Stevens F R, Linard C, Jia P, and Tatem A J 2013 High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS ONE 8(2): e0055882
14. Gaughan A, Stevens F, Linard C, Patel N, and Tatem A 2015 Exploring nationally and regionally defined models for large area population mapping. International Journal of Digital Earth 8: 989–1006
15. Hawelka B, Sitko I, Beinat E, Sobolevsky S, Kazakopoulos P, and Ratti C 2014 Geolocated Twitter as proxy for global mobility patterns. Cartography and Geographic Information Science 41: 260–71
16. Hijmans R J, Cameron S E, Parra J L, Jones P G, and Jarvis A 2005 Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965–78
17. IUCN and UNEP 2012 The World Database on Protected Areas. WWW document, http://ghslsys.jrc.ec.europa.eu/
18. Leetaru K, Wang S, Cao G, Padmanabhan A, and Shook E 2013 Mapping the global Twitter heartbeat: The geography of Twitter. First Monday 18(5): 4366
19. Lehner B, Verdin K, and Jarvis A 2006 HydroSHEDS Technical Documentation. Gland, Switzerland, World Wildlife Fund
20. Liaw A and Wiener M 2002 Classification and regression by random forest. R News 2(3): 18–22
21. Linard C, Alegana V A, Noor A M, Snow R W, and Tatem A J 2010 A high resolution spatial population database of Somalia for disease risk mapping. International Journal of Health Geographics 9(1): 45
22. Linard C, Gilbert M, Snow R W, Noor A M, and Tatem A J 2012 Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS ONE 7(2): e0031743
23. Linard C, Gilbert M, and Tatem A J 2010 Assessing the use of global land cover data for guiding large area population distribution modelling. GeoJournal 76: 525–38
24. Linard C and Tatem A J 2012 Large-scale spatial population databases in infectious disease research. International Journal of Health Geographics 11(1): 7
25. McMichael A J, Woodruff R E, and Hales S 2006 Climate change and human health: Present and future risks. Lancet 367: 859–69
26. Morstatter F, Pfeffer J, Liu H, and Carley K M 2013 Is the sample good enough? Comparing data from Twitter's streaming API with Twitter's firehose. arXiv preprint: 1306.5204
27. Nelson A 2004 African population database documentation. WWW document, http://na.unep.net/siouxfalls/globalpop/africa/Africa_index.html
28. NGA (National Geospatial-Intelligence Agency) 2005 Vector Map: VMap, Level 0. WWW document, http://geoengine.nga.mil/geospatial/SW_TOOLS/NIMAMUSE/webinter/rast_roam.html
29. NOAA (National Oceanic and Atmospheric Administration) 2012 VIIRS Nighttime Lights 2012. WWW document, http://www.ngdc.noaa.gov/dmsp/data/viirs_fire/viirs_html/viirs_ntl.html
30. OpenStreetMap.org 2014 OpenStreetMap Base Data. WWW document, http://www.openstreetmap.org/
31. Patel N N, Angiuli E, Gamba P, Gaughan A, Lisini G, Stevens F R, Tatem A J, and Trianni G 2015 Multi-temporal settlement and population mapping from Landsat using Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation 35: 199–208
32. Ramaswamy L, Deepak P, Polavarapu R, Gunasekera K, Garg D, Visweswariah K, and Kalyanaraman S 2009 CAESAR: A context-aware, social recommender system for low-end mobile devices. In Proceedings of the Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, Taipei, Taiwan
33. Rasul G and Thapa G B 2003 Shifting cultivation in the mountains of South and Southeast Asia: Regional patterns and factors influencing the change. Land Degradation and Development 14: 495–508
34. Running S W, Nemani R R, Heinsch F A, Zhao M, Reeves M, and Hashimoto H 2004 A continuous satellite-derived measure of global terrestrial primary production. BioScience 54(6): 547
35. Stevens F R, Gaughan A E, Linard C, and Tatem A J 2015 Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PLoS ONE 10(2): e0107042
36. Takhteyev Y, Gruzd A, and Wellman B 2012 Geography of Twitter networks. Social Networks 34: 73–81
37. Tatem A and Linard C 2011 Population mapping of poor countries. Nature 474: 36
38. Tatem A J, Noor A M, Hagen C V, Gregorio A D, and Hay S I 2007 High resolution population maps for low income nations: Combining land cover and census in East Africa. PLoS ONE 2(12): e0001298
39. Tobler W, Deichmann U, Gottsegen J, and Maloy K 1997 World population in a grid of spherical quadrilaterals. International Journal of Population Geography 3: 203–25
40. UN 2011 World Population Prospects: The 2010 Revision. New York, United Nations
41. UNEP and WCMC 2013 Protected Planet. WWW document, http://www.protectedplanet.net
42. Wu F, Li Z, Lee W C, Wang H, and Huang Z 2015. Semantic annotation of mobility data using social media. In Proceedings of the Twenty-fourth International Conference on World Wide Web, Florence, Italy: 1253–63
43. Wu F, Wang H, Li Z, Lee W C, and Huang Z 2015. SemMobi: A semantic annotation system for mobility data. In Proceedings of the Twenty-fourth International Conference on World Wide Web, Florence, Italy: 255–58