D. Armenteras, J. M. Espelta, N. Rodríguez, and J. Retana, Deforestation dynamics and drivers in different forest types in Latin America: Three decades of studies, Global Environmental Change, vol.46, pp.139-147, 1980.

C. W. Baynard, J. M. Ellis, and H. Davis, Roads, petroleum and accessibility: the case of eastern Ecuador, GeoJournal, vol.78, pp.675-695, 2013.

R. E. Bilsborrow, A. F. Barbieri, and W. Pan, Changes in population and land use over time in the Ecuadorian Amazon, Acta Amazonica, vol.34, pp.635-647, 2004.

R. Bromley, The colonization of humid tropical areas in Ecuador, Singapore Journal of Tropical Geography, vol.2, pp.15-26, 1981.

L. A. Brown, R. Sierra, D. Southgate, and L. Labao, Complementary Perspectives as a Means of Understanding Regional Change: Frontier Settlement in the Ecuador Amazon, Environment and Planning A, vol.24, pp.939-961, 1992.

M. T. Camacho-olmedo and J. F. Mas, Geomatic Approaches for Modeling Land Change Scenarios, pp.441-445, 2018.

M. T. Camacho-olmedo, M. Paegelow, J. F. Mas, and F. Escobar, Geomatic Approaches for Modeling Land Change Scenarios. An Introduction, Geomatic Approaches for Modeling Land Change Scenarios, pp.1-8, 2018.

D. L. Carr, Proximate Population Factors and Deforestation in Tropical Agricultural Frontiers, Population and Environment, vol.25, pp.585-612, 2003.
DOI : 10.1023/b:poen.0000039066.05666.8d
URL : http://europepmc.org/articles/pmc2723818?pdf=render

J. Castella and P. H. Verburg, Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam, Ecological Modelling, vol.202, pp.410-420, 2007.

H. Chen and R. G. Pontius, Diagnostic tools to evaluate a spatial land change projection along a gradient of an explanatory variable, Landscape Ecology, vol.25, pp.1319-1331, 2010.

A. Chhabra, H. Geist, R. A. Houghton, H. Haberl, A. K. Braimoh et al., Multiple Impacts of Land-Use/Cover Change, pp.71-116, 2006.

W. Ching, X. Huang, M. K. Ng, and T. Siu, Higher-Order Markov Chains, Markov Chains, pp.141-176, 2013.
DOI : 10.1007/978-1-4614-6312-2_6

A. Comber, H. Balzter, B. Cole, P. Fisher, S. Johnson et al., Methods to Quantify Regional Differences in Land Cover Change, Remote Sensing, vol.8, p.176, 2016.
DOI : 10.3390/rs8030176
URL : https://www.mdpi.com/2072-4292/8/3/176/pdf

D. Grande and P. , El formato Redatam / The Redatam format, Estudios Demográficos y Urbanos, vol.31, p.811, 2016.

J. Eastman, TerrSet geospatial monitoring and modeling system, 2014.

J. R. Eastman and J. Toledano, A Short Presentation of the Land Change Modeler (LCM), Geomatic Approaches for Modeling Land Change Scenarios, pp.499-505, 2018.

F. Escobar, H. Van-delden, and R. Hewitt, Geomatic Approaches for Modeling Land Change Scenarios, pp.81-97, 2018.

L. D. Floriani and P. Magillo, Encyclopedia of Database Systems, pp.3178-3179, 2009.

G. Alvarez, D. Mcconnell, W. Lambin, E. F. Moran, E. Alves et al., Aproximación al Estudio de la Incertidumbre en la Modelización del Cambio de Usos y Coberturas del Suelo (LUCC), pp.41-70, 2006.

M. Hiraoka and S. Yamamoto, Agricultural Development in the Upper Amazon of Ecuador, Geographical Review, vol.70, p.423, 1980.

T. Houet, R. Aguejdad, O. Doukari, G. Battaia, and K. Clarke, Description and validation of a "non path-dependent" model for projecting contrasting urban growth futures, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01326063

T. Houet and F. Gourmelon, La géoprospective -Apport de la dimension spatiale aux démarches prospectives, 2014.
DOI : 10.4000/cybergeo.26194
URL : https://doi.org/10.4000/cybergeo.26194

L. Houssou, Simulation sociale à base d'agents du comportement microéconomique des mé-nages en Amazonie équatorienne, face aux contaminations pétrolières, aux dynamiques écono-miques et aux politiques publiques, 2016.

-. V. Jarrín, T. Ps, L. Carrillo, and G. Zamora, Demografía y transformación territorial: medio siglo de cambio en la región amazónica de Ecuador/ Demography and territorial transformation: half a century of change in the Amazonian Region of Ecuador. Eutopía, Revista de Desarrollo Económico Territorial 81, 2017.

G. Juteau-martineau, S. Becerra, and M. L. , Ambiente, petróleo y vulnerabilidad política en el Oriente Ecuatoriano: ¿hacia nuevas formas de gobernanza energética, vol.67, p.119, 2014.

R. Kitchin, Big data and human geography: Opportunities, challenges and risks, Dialogues in Human Geography, vol.3, pp.262-267, 2013.

E. F. Lambin, B. L. Turner, H. J. Geist, S. B. Agbola, A. Angelsen et al., The causes of land-use and land-cover change: moving beyond the myths, Global Environmental Change, vol.11, pp.7-10, 2001.

D. Lu and Q. Weng, A survey of image classification methods and techniques for improving classification performance, International Journal of Remote Sensing, vol.28, pp.823-870, 2007.

N. Maestripieri and M. Paegelow, Validation spatiale de deux modèles de simulation : l'exemple des plantations industrielles au Chili, 2013.
DOI : 10.4000/cybergeo.26042
URL : https://doi.org/10.4000/cybergeo.26042

R. Mahmood, R. A. Pielke, K. G. Hubbard, D. Niyogi, P. A. Dirmeyer et al., Land cover changes and their biogeophysical effects on climate: land cover changes and their biogeophysical effects on climate, International Journal of Climatology, vol.34, pp.929-953, 2014.

D. Martin and I. Bracken, The integration of socioeconomic and physical resource data for applied land management information systems, Applied Geography, vol.13, issue.93, p.90079, 1993.

J. Mas, Modelling deforestation using GIS and artificial neural networks, Environmental Modelling & Software, vol.19, pp.461-471, 2004.
DOI : 10.1016/s1364-8152(03)00161-0

J. Mas, Monitoring land-cover changes: A comparison of change detection techniques, International Journal of Remote Sensing, vol.20, pp.139-152, 1999.

J. Mas, M. Kolb, M. Paegelow, C. Olmedo, M. T. Houet et al., Inductive pattern-based land use/cover change models: A comparison of four software packages, Environmental Modelling & Software, vol.51, pp.94-111, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01187569

J. F. Mas, M. Paegelow, C. Olmedo, and M. T. , LUCC Modeling Approaches to Calibration, Geomatic Approaches for Modeling Land Change Scenarios, pp.11-25, 2018.
DOI : 10.1007/978-3-319-60801-3_2

J. Mas, S. Filho, B. Pontius, R. , F. Gutiérrez et al., A Suite of Tools for ROC Analysis of Spatial Models, ISPRS International Journal of Geo-Information, vol.2, pp.869-887, 2013.

R. B. Matthews, N. G. Gilbert, A. Roach, J. G. Polhill, and N. M. Gotts, Agent-based land-use models: a review of applications, Landscape Ecology, vol.22, pp.1447-1459, 2007.

C. F. Mena, R. E. Bilsborrow, and M. E. Mcclain, Socioeconomic Drivers of Deforestation in the Northern Ecuadorian Amazon, Environmental Management, vol.37, 2006.

L. Morin, Diagnostic agraire d'un front pionnier en Amazonie équatorienne, Paroisse de Dayuma, province d'Orellana, Equateur. MSc thesis, SupAgro Montpellier IRC National Research Council (1998) People and Pixels: Linking Remote Sensing and Social Science, 2015.

T. H. Oliver and M. D. Morecroft, Interactions between climate change and land use change on biodiversity: attribution problems, risks, and opportunities: Interactions between climate change and land use change, Wiley Interdisciplinary Reviews: Climate Change, vol.5, pp.317-335, 2014.

C. Orme, R. G. Davies, M. Burgess, F. Eigenbrod, N. Pickup et al., Global hotspots of species richness are not congruent with endemism or threat, Nature, vol.436, pp.1016-1019, 2005.

M. Paegelow, Impact and Integration of Multiple Training Dates for Markov Based Land Change Modeling, Geomatic Approaches for Modeling Land Change Scenarios, pp.121-138, 2018.

M. Paegelow, C. Olmedo, and M. T. , Modelos de simulación espacio-temporal y Teledetección: el método de la segmentación para la cartografía cronológica de usos del suelo, pp.19-34, 2010.

M. Paegelow, C. Olmedo, M. T. Mas, J. Houet, and T. , Benchmarking of LUCC modelling tools by various validation techniques and error analysis, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01447925

D. C. Parker, S. M. Manson, M. A. Janssen, M. J. Hoffmann, and P. Deadman, Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review, Annals of the Association of American Geographers, vol.93, pp.314-337, 2003.

S. G. Perz and R. T. Walker, Household Life Cycles and Secondary Forest Cover Among Small Farm Colonists in the Amazon, World Development, vol.30, pp.1009-1027, 2002.

G. R. Pontius, Quantification Error Versus Location Error in Comparison of Categorical Maps, Photogrammetric Engineering and Remote Sensing, vol.66, pp.1011-1016, 2000.

R. G. Pontius, D. Huffaker, and K. Denman, Useful techniques of validation for spatially explicit land-change models, Ecological Modelling, vol.179, pp.445-461, 2004.

R. G. Pontius and M. Millones, Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment, International Journal of Remote Sensing, vol.32, pp.4407-4429, 2011.

R. G. Pontius and L. C. Schneider, Land-cover change model validation by an ROC method for the Ipswich watershed, Ecosystems & Environment, vol.85, pp.239-248, 2001.

S. H. Preston, The effect of population growth on environmental quality, Population Research and Policy Review, vol.15, pp.95-108, 1996.

H. Rodrigues and B. Soares-filho, Geomatic Approaches for Modeling Land Change Scenarios, pp.493-498, 2018.

B. S. Soares-filho, C. Cerqueira, G. , L. Pennachin, and C. , Dinamica -a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier, Ecological Modelling, vol.154, pp.217-235, 2002.

B. Tso and P. Mather, Classification Methods for Remotely Sensed Data, Agriculture, Ecosystems & Environment, vol.85, pp.1-6, 2001.

R. Wasserstrom and D. Southgate, Deforestation, Agrarian Reform and Oil Development in Ecuador, Natural Resources, vol.04, pp.31-44, 1964.
DOI : 10.4236/nr.2013.41004
URL : http://www.scirp.org/journal/PaperDownload.aspx?paperID=29161