Improving Large Area Population Mapping Using Geotweet Densities-Reference-Cited by-同舟云学术

Improving Large Area Population Mapping Using Geotweet Densities

Published:2016-06-30 Issue:2 Volume:21 Page:317-331
ISSN:1361-1682
Container-title:Transactions in GIS
language:en
Short-container-title:Trans. in GIS

Author:

Patel Nirav N.¹,Stevens Forrest R.²,Huang Zhuojie³,Gaughan Andrea E.²,Elyazar Iqbal⁴,Tatem Andrew J.⁵⁶⁷

Affiliation:

1. Department of Geography and Geoinformation ScienceGeorge Mason UniversityFairfax

2. Department of Geography and GeosciencesUniversity of Louisville

3. Department of GeographyGeoVISTA Center and Centre for Infectious Disease Dynamics, Pennsylvania State University

4. Eijkman‐Oxford Clinical Research UnitJakarta

5. WorldPop Project, Department of Geography and EnvironmentUniversity of Southampton

6. Fogarty International CenterNational Institutes of Health

7. Flowminder FoundationStockholm

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12214

Reference43 articles.

1. BalkDandYetmanG2004The global distribution of population: Evaluating the gains in resolution refinement. WWW document http://sedac.ciesin.org/gpw/docs/gpw3_documentation_final.pdf

2. BalkD PozziF YetmanG Deichmann U andNelsonA2005The distribution of people and the dimension of place: Methodologies to improve the global estimation of urban extents. InProceedings of the Urban Remote Sensing Conference Tempe Arizona

3. Determining Global Population Distribution: Methods, Applications and Data

4. LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics

5. Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement

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