W. Anderson, Methods for Estimating Population Density in Data-Limited Areas: Evaluating Regression and Tree-Based Models in Peru, PLoS ONE, vol.23, issue.11, 2014.
DOI : 10.1371/journal.pone.0100037.t008
URL : https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0100037&type=printable

J. P. Antoni, N. Lunardi, and G. Vuidel, Simuler les mobilits individuelles -Les enjeux de linformation gographique, pp.237-262, 2016.

T. Arentze, H. Timmermans, and F. Hofman, Creating Synthetic Household Populations, Transportation Research Record: Journal of the Transportation Research Board, vol.30, issue.6, 2008.
DOI : 10.2307/2986296

R. M. Axelrod, The complexity of cooperation: Agent-based models of competition and collaboration, 1997.
DOI : 10.1515/9781400822300

J. Barthelemy and P. L. Toint, Synthetic Population Generation Without a Sample, Transportation Science, vol.47, issue.2, pp.266-279, 2012.
DOI : 10.1287/trsc.1120.0408

B. Bhaduri, LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics, GeoJournal, vol.26, issue.1, pp.103-117, 2007.
DOI : 10.1179/caj.1994.31.1.21

I. Bracken and D. Martin, The Generation of Spatial Population Distributions from Census Centroid Data, Environment and Planning A, vol.74, issue.367, pp.537-543, 1989.
DOI : 10.1080/01621459.1979.10481647

D. J. Briggs, Dasymetric modelling of small-area population distribution using land cover and light emissions data. Remote sensing of Environment, pp.451-466, 2007.

E. Cornelis, An original synthetic population tool applied to Belgian case, 2013.

G. Czura, MOSAIIC: City-Level Agent-Based Traffic Simulation Adapted to Emergency Situations, Proceedings of the International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014, pp.265-274, 2015.
DOI : 10.1007/978-3-319-20591-5_24
URL : https://hal.archives-ouvertes.fr/hal-01267004

B. Edmonds and S. Moss, From KISS to KIDS ??? An ???Anti-simplistic??? Modelling Approach, Lecture Notes in Computer Science, vol.3415, pp.130-144, 2005.
DOI : 10.1007/978-3-540-32243-6_11

C. L. Eicher and C. A. Brewer, Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation, Cartography and Geographic Information Science, vol.28, issue.2, pp.125-138, 2001.
DOI : 10.1559/152304001782173727

P. Fosset, Exploring Intra-Urban Accessibility and Impacts of Pollution Policies with an Agent-Based Simulation Platform: GaMiroD, Systems, vol.8291, issue.1, 2016.
DOI : 10.1287/opre.4.1.42
URL : https://hal.archives-ouvertes.fr/halshs-01424773

S. Gallagher, SPEW: Synthetic Populations and Ecosystems of the World, Journal of Computational and Graphical Statistics, vol.2, 2017.
DOI : 10.3768/rtipress.2009.mr.0010.0905

A. Grignard, GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation, pp.117-131, 2013.
DOI : 10.1007/978-3-642-44927-7_9
URL : https://hal.archives-ouvertes.fr/hal-01124407

K. Harland, Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques, Journal of Artificial Societies and Social Simulation, vol.15, issue.1, pp.1-15, 2012.
DOI : 10.18564/jasss.1909
URL : https://doi.org/10.18564/jasss.1909

E. Holm, The SVERIGE spatial microsimulation model: content, validation, and example applications, 2002.

B. Kosar and M. Tomintz, simSALUD: A Web-based Spatial Microsimulation to Model the Health Status for Small Areas Using the Example of Smokers in Austria, pp.207-216, 2015.

G. Li and Q. Weng, Using Landsat ETM + Imagery to Measure Population Density in Indianapolis, Indiana, USA, Photogrammetric Engineering & Remote Sensing, vol.71, issue.8, pp.71-947, 2005.
DOI : 10.14358/PERS.71.8.947

G. Li and Q. Weng, Fine-scale population estimation: how Landsat ETM+ imagery can improve population distribution mapping, Canadian Journal of Remote Sensing, vol.21, issue.3, pp.155-165, 2010.
DOI : 10.1016/S0198-9715(97)01003-X

N. Memarsadeghi, A FAST IMPLEMENTATION OF THE ISODATA CLUSTERING ALGORITHM, International Journal of Computational Geometry & Applications, vol.6, issue.01, pp.71-103, 2007.
DOI : 10.1007/PL00009311

M. Reibel and A. Agrawal, Areal interpolation of population counts using preclassified land cover data, Population Research and Policy Review, vol.26, pp.5-6, 2007.

F. R. Stevens, Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data, PLOS ONE, vol.93, issue.1???2, p.107042, 2015.
DOI : 10.1371/journal.pone.0107042.s003

M. D. Su, Multi-layer multi-class dasymetric mapping to estimate population distribution, Science of The Total Environment, vol.408, issue.20, pp.4807-4816, 2010.
DOI : 10.1016/j.scitotenv.2010.06.032

S. Swarup and M. V. Marathe, Generating Synthetic Populations for Social Modeling, Tutorial at the Autonomous Agents and Multi-Agents Systems (AAMAS) Conference. In: May, 2016.

W. Wheaton, Synthesized population databases: A US geospatial database for agent-based models, 2009.
DOI : 10.3768/rtipress.2009.mr.0010.0905

S. S. Wu, X. Qiu, W. , and L. , Population Estimation Methods in GIS and Remote Sensing: A Review, GIScience & Remote Sensing, vol.42, issue.1, pp.80-96, 2005.
DOI : 10.2747/1548-1603.42.1.80

X. Yang, W. Yue, and D. Gao, Spatial improvement of human population distribution based on multi-sensor remote-sensing data: an input for exposure assessment, International Journal of Remote Sensing, vol.63, issue.15, pp.34-5569, 2013.
DOI : 10.1080/01431160802430693

Y. Yuan, R. M. Smith, and W. F. Limp, Remodeling census population with spatial information from LandSat TM imagery, Computers, Environment and Urban Systems, vol.21, issue.3-4, pp.3-4, 1997.
DOI : 10.1016/S0198-9715(97)01003-X

Y. Zhu and J. Ferreira, Synthetic Population Generation at Disaggregated Spatial Scales for Land Use and Transportation Microsimulation, Transportation Research Record: Journal of the Transportation Research Board, vol.2429, issue.1, pp.2429-168, 2014.
DOI : 10.1016/j.trb.2013.09.012