Allocating people to pixels: A review of large-scale gridded population data products and their fitness for use
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Forrest R. Stevens | Andrew J. Tatem | Stefan Leyk | Charlie Frye | Alex de Sherbinin | Brian Blankespoor | Sérgio Freire | Amy N. Rose | Andrea E. Gaughan | Kytt MacManus | Linda Pistolesi | Marc A. Levy | Deborah Balk | Susana B. Adamo | Joshua Comenetz | Alessandro Sorichetta | A. Tatem | A. Rose | F. Stevens | A. Gaughan | B. Blankespoor | M. Levy | S. Adamo | D. Balk | S. Leyk | A. Sorichetta | S. Freire | A. de Sherbinin | K. MacManus | Joshua Comenetz | L. Pistolesi | Charlie Frye | K. Macmanus
[1] Catherine Linard,et al. High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020 , 2015, Scientific Data.
[2] Jeremy Mennis,et al. Intelligent Dasymetric Mapping and Its Application to Areal Interpolation , 2006 .
[3] A. Tatem,et al. Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data , 2014, PLoS currents.
[4] Pesaresi Martino,et al. Development of new open and free multi-temporal global population grids at 250 m resolution , 2016 .
[5] P. Diggle. Applied Spatial Statistics for Public Health Data , 2005 .
[6] W. Nordhaus. Geography and macroeconomics: new data and new findings. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[7] Catherine Linard,et al. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data , 2015, PloS one.
[8] Giri Kumar Tayi,et al. Examining data quality , 1998, CACM.
[9] Robert Jeansoulin,et al. Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data , 2007, Int. J. Geogr. Inf. Sci..
[10] Forrest R. Stevens,et al. Gridded Population Maps Informed by Different Built Settlement Products , 2018, Data.
[11] B. Anderson,et al. The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones , 2007 .
[12] Alex de Sherbinin,et al. Groundswell : Preparing for Internal Climate Migration , 2018 .
[13] J. Wickham,et al. Accuracy assessment of NLCD 2006 land cover and impervious surface , 2013 .
[14] Andrew J. Tatem,et al. WorldPop, open data for spatial demography , 2017, Scientific Data.
[15] Alessandro Sorichetta,et al. Mapping internal connectivity through human migration in malaria endemic countries , 2016, Scientific Data.
[16] Martin Charlton,et al. The Geography of Parameter Space: An Investigation of Spatial Non-Stationarity , 1996, Int. J. Geogr. Inf. Sci..
[17] Pierre Soille,et al. A New European Settlement Map From Optical Remotely Sensed Data , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] Forrest R. Stevens,et al. Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling , 2019, Comput. Environ. Urban Syst..
[19] J. E. Dobson,et al. LandScan: Locating People is What Matters , 2002 .
[20] Jordan Graesser,et al. Generation of fine-scale population layers using multi-resolution satellite imagery and geospatial data , 2013 .
[21] Xianming Liu,et al. Mapping the world population one building at a time , 2017, ArXiv.
[22] Jack T. Harvey,et al. Estimating census district populations from satellite imagery: Some approaches and limitations , 2002 .
[23] Brian Blankespoor,et al. Mangroves as a protection from storm surges in a changing climate , 2016, Ambio.
[24] Stefan Leyk,et al. Descriptor : HISDAC-US , historical settlement data compilation for the conterminous United States over 200 years , 2018 .
[25] A. Tatem,et al. The effects of spatial population dataset choice on estimates of population at risk of disease , 2011, Population health metrics.
[26] Warren C. Jochem,et al. Spatially disaggregated population estimates in the absence of national population and housing census data , 2018, Proceedings of the National Academy of Sciences.
[27] David G Steel,et al. Exploring a relationship between aggregate and individual levels spatial data through semivariogram models , 2006 .
[28] T. Esch,et al. Breaking new ground in mapping human settlements from space – The Global Urban Footprint , 2017, 1706.04862.
[29] C. Elvidge,et al. Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .
[30] Robert S. Chen,et al. The Integration of Remote Sensing and Socioeconomic Data: Lessons from the Socioeconomic Data and Applications Center , 2014 .
[31] David W. S. Wong,et al. The Reliability of Using the Iterative Proportional Fitting Procedure , 1992 .
[32] S. Piantadosi,et al. The ecological fallacy. , 1988, American journal of epidemiology.
[33] S. Guptill,et al. Elements of Spatial Data Quality , 1995 .
[34] J. Lerner,et al. Three‐dimensional model synthesis of the global methane cycle , 1991 .
[35] Eric M. Fèvre,et al. Risk for Human African Trypanosomiasis, Central Africa, 2000–2009 , 2011, Emerging infectious diseases.
[36] Steffen Fritz,et al. Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki , 2015 .
[37] J. Mennis. Generating Surface Models of Population Using Dasymetric Mapping , 2003, The Professional Geographer.
[38] E. Stehfest,et al. Anthropogenic land use estimates for the Holocene – HYDE 3.2 , 2016 .
[39] D. R. Montello. Scale in Geography , 2001 .
[40] Andrea Taramelli,et al. Modelling risk hurricane elements in potentially affected areas by a GIS system , 2010 .
[41] Andrew J Tatem,et al. The global distribution and population at risk of malaria: past, present, and future. , 2004, The Lancet. Infectious diseases.
[42] Karsten Steinhaeuser,et al. Estimating future global per capita water availability based on changes in climate and population , 2012, Comput. Geosci..
[43] Christoph Aubrecht,et al. Developing an adaptive global exposure model to support the generation of country : disaster risk profiles , 2015 .
[44] Pinki Mondal,et al. Uncertainties in Measuring Populations Potentially Impacted by Sea Level Rise and Coastal Flooding , 2012, PloS one.
[45] Kytt MacManus,et al. Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4 , 2015 .
[46] Michael E. Bufalino,et al. Street-Weighted Interpolation Techniques for Demographic Count Estimation in Incompatible Zone Systems , 2005 .
[47] Budhendra L. Bhaduri,et al. Census-independent population mapping in northern Nigeria☆ , 2018, Remote sensing of environment.
[48] Giuseppe Arbia,et al. Effects of MAUP on spatial econometric models , 2011 .
[49] Catherine Linard,et al. Examining the correlates and drivers of human population distributions across low- and middle-income countries , 2017, Journal of The Royal Society Interface.
[50] P. Shrestha,et al. Understanding the Impacts of Climate Change , 2014 .
[51] Arnold Bregt,et al. Assessing fitness for use: the expected value of spatial data sets , 2001, Int. J. Geogr. Inf. Sci..
[52] Alfred Stein,et al. Thirty Years of Research on Spatial Data Quality: Achievements, Failures, and Opportunities , 2010, Trans. GIS.
[53] Catherine Linard,et al. Spatiotemporal patterns of population in mainland China, 1990 to 2010 , 2016, Scientific Data.
[54] Catherine Linard,et al. Large-scale spatial population databases in infectious disease research , 2012, International Journal of Health Geographics.
[55] Stan Openshaw,et al. Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.
[56] Andrew J. Tatem,et al. Mapping the denominator: spatial demography in the measurement of progress. , 2014, International health.
[57] Michael F. Goodchild,et al. Areal interpolation: A variant of the traditional spatial problem , 1980 .
[58] Sérgio Freire,et al. The global human settlement layer from landsat imagery , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[59] Deborah Balk,et al. The Distribution of People and the Dimension of Place: Methodologies to Improve the Global Estimation of Urban Extents , 2004 .
[60] Halkia Stamatia,et al. GHSL application in Europe: Towards new population grids , 2014 .
[61] Jane Mills,et al. Enhanced data and methods for improving open and free global population grids: putting ‘leaving no one behind’ into practice , 2018, Int. J. Digit. Earth.
[62] S. Dasgupta,et al. Exposure of developing countries to sea-level rise and storm surges , 2011 .
[63] Benjamin Semenov-Tian-Shansky. Russia: Territory and Population: A Perspective on the 1926 Census , 1928 .
[64] Barbara P. Buttenfield,et al. Modeling residential developed land in rural areas: A size-restricted approach using parcel data , 2014 .
[65] Catherine Linard,et al. Exploring nationally and regionally defined models for large area population mapping , 2015, Int. J. Digit. Earth.
[66] Waldo R. Tobler,et al. The Global Demography Project , 1995 .
[67] C. Elvidge,et al. VIIRS night-time lights , 2017, Remote Sensing of Night-time Light.
[68] Naota Hanasaki,et al. A grid-based assessment of global water scarcity including virtual water trading , 2006 .
[69] Brian C. O'Neill,et al. Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways , 2016 .
[70] David G Steel,et al. Rules for Random Aggregation , 1996 .
[71] Martino Pesaresi,et al. Principles and Applications of the Global Human Settlement Layer as Baseline for the Land Use Efficiency Indicator - SDG 11.3.1 , 2018, ISPRS Int. J. Geo Inf..
[72] Alessandro Sorichetta,et al. High resolution global gridded data for use in population studies , 2017, Scientific Data.
[73] D. Civco,et al. Mapping urban areas on a global scale: which of the eight maps now available is more accurate? , 2009 .
[74] C. Elvidge,et al. Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .
[75] A. Tatem,et al. High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015 , 2013, PloS one.
[76] Xiaomin Qiu,et al. Population Estimation Methods in GIS and Remote Sensing: A Review , 2005 .
[77] Robert G. Cromley,et al. Singly‐ and Doubly‐Constrained Methods of Areal Interpolation for Vector‐based GIS , 1999, Trans. GIS.
[78] J E Potter,et al. The completeness of enumeration in the 1973 census of the population of Colombia. , 1976, Population index.
[79] Kate E. Jones,et al. Global trends in emerging infectious diseases , 2008, Nature.
[80] Stefan Leyk,et al. Assessing the Accuracy of Multi-Temporal Built-Up Land Layers across Rural-Urban Trajectories in the United States. , 2018, Remote sensing of environment.
[81] Kees Klein Goldewijk,et al. Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1 , 2010 .
[82] J. Jenness. Calculating landscape surface area from digital elevation models , 2004 .
[83] I. Ivánová,et al. Searching for spatial data resources by fitness for use , 2011 .
[84] Christoph Aubrecht,et al. Consistent yet adaptive global geospatial identification of urban–rural patterns: The iURBAN model , 2016 .
[85] Huadong Guo,et al. A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[86] Paul A. Zandbergen,et al. Comparison of Dasymetric Mapping Techniques for Small-Area Population Estimates , 2010 .
[87] Barbara P. Buttenfield,et al. Dasymetric Modeling and Uncertainty , 2014, Annals of the Association of American Geographers. Association of American Geographers.
[88] Barbara P. Buttenfield,et al. Maximum Entropy Dasymetric Modeling for Demographic Small Area Estimation , 2013 .
[89] Martino Pesaresi,et al. Built-up area and population density: Two Essential Societal Variables to address climate hazard impact , 2018, Environmental science & policy.
[90] J. E. Dobson,et al. LandScan: A Global Population Database for Estimating Populations at Risk , 2000 .
[91] Kees Klein Goldewijk,et al. The HYDE 3.1 spatially explicit database of human‐induced global land‐use change over the past 12,000 years , 2011 .
[92] J. Koch,et al. Modeling the impacts of grazing land management on land-use change for the Jordan River region , 2008 .
[93] Martino Pesaresi,et al. A new map of the European settlements by automatic classification of 2.5m resolution SPOT data , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[94] John K. Wright. A Method of Mapping Densities of Population: With Cape Cod as an Example , 1936 .
[95] G. Hunter,et al. A Risk-Based Approach to Assessing the ‘ Fitness for Use ’ of Spatial Data , 1999 .
[96] David W. S. Wong. The Modifiable Areal Unit Problem (MAUP) , 2004 .
[97] U. Deichmann,et al. World population in a grid of spherical quadrilaterals. , 1997, International journal of population geography : IJPG.
[98] Forrest R. Stevens,et al. GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data , 2017, International Journal of Health Geographics.
[99] C. Revenga,et al. Urban growth, climate change, and freshwater availability , 2011, Proceedings of the National Academy of Sciences.
[100] S. Freire,et al. Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources , 2018, Tourism Management.
[101] Stefan Leyk,et al. Understanding the Combined Impacts of Aggregation and Spatial Non‐Stationarity: The Case of Migration‐Environment Associations in Rural South Africa , 2015, Trans. GIS.