Nara, A. Space-Time GIS and Its Evolution. In Comprehensive Geographic Information Systems; Huang, B., Ed.; Elsevier: Oxford, UK, 2018; pp. 287-302.
Worboys, M. Event-oriented approaches to geographic phenomena. Int. J. Geogr. Inf. Sci. 2005, 19, 1-28.
Siabato, W.; Claramunt, C.; Ilarri, S.; Manso-Callejo, M.Á. A Survey of Modelling Trends in Temporal GIS. ACM Comput. Surv. 2018, 51, 30.
Yuan, M. Temporal GIS and Spatio-Temporal Modeling. In Proceedings of the Third International Conference Workshop on Integrating GIS and Environment Modeling, Santa Barbara, CA, USA, 21-25 January 1996; pp. 21-26.
Raza, A. Object-Oriented Temporal GIS for Urban Applications. Ph.D. Thesis, University of Twente, Enschede, the Netherlands, 2001.
El-Geresy, B.A.; Abdelmot, A.I.; Jones, C.B. Spatio-Temporal Geographic Information Systems: A Causal Perspective. In Proceedings of the East European Conference on Advances in Databases and Information Systems, Bratislava, Slovakia, 8-11 September 2002; pp. 191-203.
Pelekis, N.; Theodoulidis, B.; Kopanakis, I.; Theodoridis, Y. Literature Review of Spatio-Temporal Database Models. Knowl. Eng. Rev. 2004, 19, 235-274.
Yuan, M.; Hornsby, K. Computation and Visualization for Understanding Dynamics in Geographic Domains: A Research Agenda; CRC Press: Boca Raton, FL, USA, 2008.
Goodchild, M.F. Prospects for a Space-Time GIS: Space-Time Integration in Geography and GIScience. Ann. Assoc. Am. Geogr. 2013, 103, 1072-1077.
Yuan, M. Space-Time GIS. In Oxford Bibliography of Geography; Warf, B., Ed.; Oxford University Press: New York, NY, USA, 2016; p. 18.
Tomlinson, R. A Geographic Information System for Regional Planning. J. Geogr. (Chigaku Zasshi) 1968, 78, 45-48.
Hägerstrand, T. What about people in Regional Science? Pap. Reg. Sci. Assoc. 1970, 24, 7-24.
Gadia, S.K.; Vaishnav, J.H. A Query Language for a Homogeneous Temporal Database. In Proceedings of the Fourth ACM SIGACT-SIGMOD symposium on Principles of database systems, Portland, OR, USA, 25-27 March 1985; pp. 51-56.
Snodgrass, R.; Ahn, I. A Taxonomy of Time Databases. In Proceedings of the ACM Sigmod Record, Austin, TX, USA, 28-31 May 1985; pp. 236-246.
Gadia, S.K.; Yeung, C.-S. A generalized model for a relational temporal database. ACM SIGMOD Rec. 1988, 17, 251-259.
Langran, G.; Chrisman, N.R. A Framework for Temporal Geographic Information. Cartogr. Int. J. Geogr. Inf. Geovisualization 1988, 25, 1-14.
Langran, G. A review of temporal database research and its use in GIS applications. Int. J. Geogr. Inf. Syst. 1989, 3, 215-232.
Langran, G. Issues of Implementing a Spatiotemporal System. Int. J. Geogr. Inf. Sci. 1993, 7, 305-314.
Kay, A.C. The early history of Smalltalk. In Proceedings of the Second ACM SIGPLAN Conference on History of Programming Languages, Cambridge, MA, USA, 20-23 April 1993; pp. 511-598.
Capretz, L.F. A brief history of the object-oriented approach. ACM Sigsoft Softw. Eng. Notes 2003, 28, 6.
Black, A.P. Object-oriented programming: Some history, and challenges for the next fifty years. Inf. Comput. 2013, 231, 3-20.
Egenhofer, M.J.; Frank, A.U. Object-oriented databases: Database requirements for GIS. In Proceedings of the International Geographic Information Systems (IGIS) Symposium (IGIS’87), Arlington, VA, USA, 15-18 November 1987; pp. 189-211.
Egenhofer, M.J.; Frank, A.U. Object-Oriented Modeling in GIS: Inheritance and Propagation. In Proceedings of the Ninth International Symposium on Computer-Assisted Cartography-Auto-Carto 9, Cartography, Baltimore, MD, USA, 2-7 April 1989; pp. 588-598.
Egenhofer, M.J.; Frank, A. Object-Oriented Modeling for GIS. J. Urban Reg. Inf. Syst. Assoc. 1992, 4, 3-19.
Price, S. Modelling the temporal element in land information systems. Int. J. Geogr. Inf. Syst. 1989, 3, 233-243.
Worboys, M.F.; Hearnshaw, H.M.; Maguire, D.J. Object-oriented data modelling for spatial databases. Int. J. Geogr. Inf. Syst. 1990, 4, 369-383.
Worboys, M.; Hearnshaw, H.; Maguire, D. Object-oriented data and query modelling for geographical information systems. In Proceedings of the Fourth International Symposium on Spatial Data Handling, Zurich, Switzerland, 23-27 July 1990; pp. 679-688.
Worboys, M.F. Object-oriented approaches to geo-referenced information. Int. J. Geogr. Inf. Syst. 1994, 8, 385-399.
Wachowicz, M. Object-Oriented Design for Temporal GIS; CRC Press: London, UK, 1999.
Peuquet, D.J. It’s About Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information Systems. Ann. Assoc. Am. Geogr. 1994, 84, 441-461.
Yuan, M. Wildfire conceptual modeling for building GIS space-time models. In Proceedings of the GIS/LIS’94, Phoenix Civic Plaza, Phoenix, AZ, USA, 25-27 October 1994; pp. 860-869.
Peuquet, D.; Wentz, E. An approach for time-based analysis of spatiotemporal data. In Proceedings of the 6th International Symposium on Spatial Data Handling, Edinburgh, UK, 5-9 September 1994; pp. 489-504.
Peuquet, D.J.; Duan, N. An Event-Based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data. Int. J. Geogr. Inf. Syst. 1995, 9, 7-24.
Claramunt, C.; Thériault, M. Managing Time in GIS: An Event-Oriented Approach. In Recent Advances in Temporal Databases; Springer: London, UK, 1995; pp. 23-42.
Renolen, A. History graphs: Conceptual modeling of spatio-temporal data. GIS Front. Bus. Sci. 1996, 2, 46.
Renolen, A. Conceptual Modelling and Spatiotemporal Information Systems: How to Model the Real World. In Proceedings of the SCANGIS’97: 6th Scandinavian Research Conference on Geographical Information Systems, Stockholm, Sweden, 1-3 June 1997; pp. 1-22.
Renolen, A. Modelling Spatiotemporal Information: The Spatiotemporal Object Model; Norwegian University of Science and Technology: Trondheim, Norway, 1997; Available online: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.3334 (accessed on 21 March 2021).
Renolen, A. Concepts and Methods for Modelling Temporal and Spatiotemporal Information; Norwegian University of Sciences and Technology: Trondheim, Norway, 1999; Available online: www.emap.no/docs/ThesisAgnarRenolen.pdf (accessed on 21 March 2021).
Galton, A. Space, Time, and the Representation of Geographical Reality. Topoi 2001, 20, 173-187.
Galton, A. Desiderata for a Spatio-temporal Geo-ontology. In Proceedings of the International Conference on Spatial Information Theory, Kartause Ittingen, Switzerland, 24-28 September 2003; pp. 1-12.
Peuquet, D.J. Representations of Space and Time; Guilford Press: New York, NY, USA, 2002.
Hornsby, K.; Egenhofer, M.J. Identity-based change: A foundation for spatio-temporal knowledge representation. Int. J. Geogr. Inf. Sci. 2000, 14, 207-224.
Grenon, P.; Smith, B. SNAP and SPAN: Towards Dynamic Spatial Ontology. Spat. Cogn. Comput. 2004, 4, 69-104.
Antidode 9. ontologie. In Dictionnaire des définitions; Druide: Montreal, QC, Canada, 2015.
Tryfona, N.; Jensen, C.S. Conceptual Data Modeling for Spatiotemporal Applications. Geoinformatica 1999, 3, 245-268.
Frank, A.U. Ontology for Spatio-temporal Databases. In Spatio-Temporal Databases; Springer: Berlin, Germany, 2003; Volume 2520, pp. 9-77.
Bittner, T.; Donnelly, M.; Smith, B. A spatio-temporal ontology for geographic information integration. Int. J. Geogr. Inf. Sci. 2009, 23, 765-798.
Janowicz, K.; Scheider, S.; Pehle, T.; Hart, G. Geospatial semantics and linked spatiotemporal data-Past, present, and future. Semant. Web 2012, 3, 321-332.
Miller, H.J. The data avalanche is here. Shouldn’t we be digging? J. Reg. Sci. 2010, 50, 181-201.
Manyika, J.; Chui, M.; Brown, B.; Bughin, J.; Dobbs, R.; Roxburgh, C.; Hung Byers, A. Big Data: The Next Frontier for Innovation, Competition, and Productivity; McKinsey Global Institute: Washington, DC, USA, 2011; Available online: https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation (accessed on 21 March 2021).
Sagiroglu, S.; Sinanc, D. Big data: A review. In Proceedings of the 2013 international conference on collaboration technologies and systems (CTS), San Diego, CA, USA, 20-24 May 2013; pp. 42-47.
Kitchin, R. Big Data, new epistemologies and paradigm shifts. Big Data Soc. 2014, 1.
Elwood, S.; Goodchild, M.F.; Sui, D.Z. Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice. Ann. Assoc. Am. Geogr. 2012, 102, 571-590.
Spinsanti, L.; Berlingerio, M.; Pappalardo, L. Mobility and Geo-Social Networks. In Mobility Data: Modeling, Management, and Understanding; Cambridge University Press: New York, NY, USA, 2013; pp. 315-333.
Evans, M.R.; Oliver, D.; Yang, K.; Zhou, X.; Ali, R.Y.; Shekhar, S. Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities. In CyberGIS for Geospatial Discovery and Innovation; Wang, S., Goodchild, M.F., Eds.; Springer: Dordrecht, The Netherlands, 2019; pp. 143-170.
Lohr, S. The Age of Big Data. New York Times, 11 February 2012.
Michael, K.; Miller, K.W. Big Data: New Opportunities and New Challenges. Computer 2013, 46, 22-24.
Van den Dam, R. Internet of Things: The Foundational Infrastructure for a Smarter Planet. In Internet of Things, Smart Spaces, and Next Generation Networking; Springer: Berlin/Heidelberg, Germany, 2013; pp. 1-12.
Batty, M. Big data, smart cities and city planning. Dialogues Hum. Geogr. 2013, 3, 274-279.
Singleton, A.; Arribas-Bel, D. Geographic Data Science. Geogr. Anal. 2021, 53, 61-75.
Nativi, S.; Mazzetti, P.; Santoro, M.; Papeschi, F.; Craglia, M.; Ochiai, O. Big Data challenges in building the Global Earth Observation System of Systems. Environ. Model. Softw. 2015, 68, 1-26.
Miller, H.J.; Goodchild, M.F. Data-driven geography. GeoJournal 2015, 80, 449-461.
Yue, P.; Jiang, L. BigGIS: How Big Data Can Shape Next-Generation GIS. In Proceedings of the 2014 The Third International Conference on Agro-Geoinformatics, Beijing, China, 11-14 August 2014.
Sakr, S.; Liu, A.; Batista, D.M.; Alomari, M. A Survey of Large Scale Data Management Approaches in Cloud Environments. IEEE Commun. Surv. Tutor. 2011, 13, 311-336.
Yang, C.; Huang, Q.; Li, Z.; Liu, K.; Hu, F. Big Data and cloud computing: Innovation opportunities and challenges. Int. J. Digit. Earth 2017, 10, 13-53.
Tsou, M.-H. The Future Development of GISystems, GIScience, and GIServices. In Comprehensive Geographic Information Systems; Huang, B., Ed.; Elsevier: Oxford, UK, 2018; pp. 1-4.
Lü, G.; Batty, M.; Strobl, J.; Lin, H.; Zhu, A.-X.; Chen, M. Reflections and speculations on the progress in Geographic Information Systems (GIS): A geographic perspective. Int. J. Geogr. Inf. Sci. 2019, 33, 346-367.
Li, Z.; Tang, W.; Huang, Q.; Shook, E.; Guan, Q. Introduction to Big Data Computing for Geospatial Applications. ISPRS Int. J. Geo-Inf. 2020, 9, 487.
Yuan, L.; Yu, Z.; Luo, W. Towards the next-generation GIS: A geometric algebra approach. Ann. Gis 2019, 25, 195-206.
Peuquet, D.J. Theme section on advances in spatio-temporal analysis and representation. ISPRS J. Photogramm. Remote Sens. 2005, 60, 1-2.
Armstrong, M.P. Temporality in Spatial Databases. In Proceedings of the GIS/LIS’88: Accessing the World, San Antonio, TX, USA, 30 November-2 December 1988; pp. 880-889.
Hunter, G.J.; Williamson, I.P. The development of a historical digital cadastral database. Int. J. Geogr. Inf. Syst. 1990, 4, 169-179.
Chrisman, N.R. The role of quality information in the long-term functioning of a geographic information system. In Proceedings of the International Symposium on Automated Cartography (Auto Carto 6), Ottawa, ON, Canada, 16-21 October 1983; pp. 303-321.
Renolen, A. Temporal Maps and Temporal Geographical Information Systems (Review of Research). 1995. Available online: www2.iath.virginia.edu/time/readings/visualization-representation/temporal-maps-lit-review.pdf (accessed on 21 March 2021).
Ye, X.; Peng, Z.; Guo, H. Spatio-Temporal Data Model and Spatio-Temporal Databases. In Temporal Information Processing Technology and Its Application; Tang, Y., Ye, X., Tang, N., Eds.; Springer: Berlin, Germany, 2010; pp. 91-112.
Ma, Z.; Bai, L.; Yan, L. Spatiotemporal Data and Spatiotemporal Data Models. In Modeling Fuzzy Spatiotemporal Data with XML; Springer International Publishing: Cham, Switzerland, 2020; pp. 1-18.
Montgomery, L.D. Temporal Geographic Information Systems Technology and Requirements: Where We are Today. Ph.D. Thesis, Ohio State University, Columbus, OH, USA, 1995.
Yuan, M. Adding Time into Geographic Information System Databases. In The Handbook of Geographic Information Science; Blackwell Publishing Ltd.: Oxford, UK, 2008; pp. 169-184.
Gómez, L.; Kuijpers, B.; Vaisman, A. A data model and query language for spatio-temporal decision support. GeoInformatica 2011, 15, 455-496.
Vidal, C.; Rodríguez, A. A Logical Approach for Modeling Spatio-Temporal Objects and Events; Springer: Berlin/Heidelberg, Germany, 2005; pp. 218-227.
Gutiérrez, G.A.; Navarro, G.; Rodríguez, A.; González, A.; Orellana, J. A spatio-temporal access method based on snapshots and events. In Proceedings of the 13th annual ACM International Workshop on Geographic Information Systems, Bremen, Germany, 4-5 November 2005; pp. 115-124.
Gutiérrez, G.A.; Navarro, G.; Rodríguez, A. SESTL: An Event-Oriented Spatio-Temporal Access Method; Universidad de Chile: Santiago, Chile, 2006.
Gutiérrez, G.A.; Navarro, G.; Rodrıguez, M.A.; Larenas, E. LES-tree: A Spatio-Temporal Access Method based on Snapshots and Events. 2008. Available online: https://www.dcc.uchile.cl/TR/2008/TR_DCC-2008-014.pdf (accessed on 21 March 2021).
Worboys, M.; Duckham, M. Monitoring qualitative spatiotemporal change for geosensor networks. Int. J. Geogr. Inf. Sci. 2006, 20, 1087-1108.
Renolen, A. Modelling the Real World: Conceptual Modelling in Spatiotemporal Information System Design. Trans. GIS 2000, 4, 23-42.
Stefanakis, E. Modelling the history of semi-structured geographical entities. Int. J. Geogr. Inf. Sci. 2003, 17, 517-546.
Al-Taha, K.; Barrera, R. Identities through time. In Proceedings of the Workshop on the Requirement for Integrated Geographic Information System, New Orleans, LA, USA, 2-3 February 1994.
Hornsby, K.; Egenhofer, M.J. Qualitative representation of change. In Proceedings of the International conference on spatial information theory, Laurel Highlands, PA, USA, 15-18 October 1997; pp. 15-33.
Hornsby, K.; Egenhofer, M.J. Identity-Based Change Operations for Composite Objects. In Proceedings of the Eighth International Symposium on Spatial Data Handling, Vancouver, Canada, 11-15 July 1998; pp. 202-213.
Medak, D. Lifestyles-An Algebraic Approach to Change in Identity. In Proceedings of the International Workshop on Spatio-Temporal Database Management, Edinburgh, UK, 10-11 September 1999; pp. 19-39.
Xue, C.; Wu, C.; Liu, J.; Su, F. A Novel Process-Oriented Graph Storage for Dynamic Geographic Phenomena. ISPRS Int. J. Geo-Inf. 2019, 8, 100.
Yu, M. A Graph-Based Spatiotemporal Data Framework for 4D Natural Phenomena Representation and Quantification-An Example of Dust Events. ISPRS Int. J. Geo-Inf. 2020, 9, 127.
Yuan, M. Why are events important and how to compute them in geospatial research? J. Spat. Inf. Sci. 2020, 21, 41-61.
Haddad, H. Une Approche Pour Supporter l’analyse QUALITATIVe des suites d’actions dans un Environnement Géographique virtuel et Dynamique: L’analyse “What-If” Comme Exemple. Ph.D. Thesis, Université Laval, Québec, QC, Canada, 2009.
Siabato Vaca, W.L.; Manso Callejo, M.A.; Camossi, E. An Annotated Bibliography on Spatio-temporal Modelling Trends. Int. J. Earth Environ. Sci. 2017, 2, 1-26.
Gharbi, A. Une approche à base de règles d’association pour l’explication et la prévision de l’évolution territoriale. Ph.D. Thesis, Université Paris 8, Saint-Denis, France, 2018.
Carré, C. Conception d’une ontologie spatio-temporelle dédiée au suivi de l’évolution des objets géographiques. Ph.D. Thesis, Université de Liège, Liège, Belgium, 2020.
Galton, A. Outline of a Formal Theory of Processes and Events, and Why GIScience Needs One. In Proceedings of the International Conference on Spatial Information Theory, Santa Fe, NM, USA, 12-16 October 2015; pp. 3-22.
Galton, A.; Mizoguchi, R. The water falls but the waterfall does not fall: New perspectives on objects, processes and events. Appl. Ontol. 2009, 4, 71-107.
Galton, A. States, Processes and Events, and the Ontology of Causal Relations. Form. Ontol. Inf. Syst. 2012, 239, 279-292.
Galton, A. The Ontology of States, Processes, and Events. In Proceedings of the Fifth Interdisciplinary Ontology Meeting, Tokyo, Japan, 23-24 February 2012; pp. 35-45.
Galton, A. The Ontology of Time and Process. In Proceedings of the Third Interdisciplinary School on Applied Ontology, Bozen-Bolzano, Italy, 27 June-1 July 2016.
Worboys, M.; Hornsby, K. From Objects to Events: GEM, the Geospatial Event Model. In Proceedings of the International Conference on Geographic Information Science, Adelphi, MD, USA, 20-23 October 2004; pp. 327-343.
Ferreira, K.R.; Camara, G.; Monteiro, A.M.V. An Algebra for Spatiotemporal Data: From Observations to Events. Trans. GIS 2014, 18, 253-269.
Claramunt, C.; Theriault, M. Toward semantics for modelling spatio-temporal processes within GIS. Adv. GIS Res. I 1996, 27-43.
Claramunt, C.; Parent, C.; Thériault, M. Design Patterns for Spatio-temporal Processes. In Data Mining and Reverse Engineering; Springer: Boston, MA, USA, 1998; pp. 455-475.
Claramunt, C.; Thériault, M.; Parent, C. A qualitative representation of evolving spatial entities in two-dimensional topological spaces. In Innovations in GIS 5; Taylor & Francis: London, UK, 1998; pp. 119-129.
Li, X.; Yang, J.; Guan, X.; Wu, H. An Event-driven Spatiotemporal Data Model (E-ST) Supporting Dynamic Expression and Simulation of Geographic Processes. Trans. GIS 2014, 18, 76-96.
Que, X.; Wu, C.; Chen, R.; Liu, J.; Lu, C. Spatiotemporal Data Model for Geographical Process Analysis with Case Study. In Proceedings of the 2016 15th International Symposium on Parallel and Distributed Computing (ISPDC), Fuzhou, China, 8-10 July 2016; pp. 390-394.
Yeh, T.-S.; de Cambray, B. Modeling Highly Variable Spatio-Temporal Data. In Proceedings of the 6th Australasian Database Conference, Adelaide, Australia, 30-31 January 1995; pp. 221-230.
Peuquet, D.J. Time in GIS and geographical databases. Geogr. Inf. Syst. 1999, 1, 91-103.
Lohfink, A.; Carnduff, T.; Thomas, N.; Ware, M. An object-oriented approach to the representation of spatiotemporal geographic features. In Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, Seattle, WA, USA, 7-9 November 2007; p. 35.
Lohfink, A.; McPhee, D.; Ware, M. A UML-based Representation of Spatio-Temporal Evolution in Road Network Data. Trans. GIS 2010, 14, 853-872.
Hamdani, Y.; Thibaud, R.; Claramunt, C. A hybrid data model for dynamic GIS: Application to marine geomorphological dynamics. Int. J. Geogr. Inf. Sci. 2020, 1-25.
McIntosh, J.; Yuan, M. Assessing Similarity of Geographic Processes and Events. Trans. GIS 2005, 9, 223-245.
Venkateswara Rao, K.; Govardhan, A.; Chalapati Rao, K. An Object-Oriented Modeling and Implementation of Spatio-Temporal Knowledge Discovery System. Int. J. Comput. Sci. Inf. Technol. 2011, 3, 61-76.
Sengupta, R.; Yan, C. A Hybrid Spatio-Temporal Data Model and Structure (HST-DMS) for Efficient Storage and Retrieval of Land Use Information. Trans. GIS 2004, 8, 351-366.
Jiang, J.; Worboys, M. Event-based topology for dynamic planar areal objects. Int. J. Geogr. Inf. Sci. 2009, 23, 33-60.
Chee, Y.E.; Wilkinson, L.; Nicholson, A.; Quintana-Ascencio, P.; Fauth, J.; Hall, D.; Ponzio, K.; Rumpff, L. Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks. Environ. Model. Softw. 2016, 82, 108-120.
Académie française. Idenité. In Neuvième édition du Dictionnaire de l’Académie française; Académie française: Paris, France, 2017.
Plato. Plato’s Symposium; Liveright Publishing Corp.: New York, NY, USA, 1956.
Noonan, H.; Curtis, B. Identity. In Stanford Encyclopedia of Philosophy; Center for the Study of Language and Information (CSLI): Stanford, CA, USA, 2018.
Codd, E.F. A Relational Model of Data for Large Shared Data Banks. Commun. ACM 1970, 13, 377-387.
Khoshafian, S.N.; Copeland, G.P. Object Identity. In Proceedings of the ACM Conference on Object-Oriented Programming Systems, Languages and Applications; Portland, OR, USA, 1986; pp. 406-416.
Harbelot, B.; Arenas, H.; Cruz, C. Continuum: A spatiotemporal data model to represent and qualify filiation relationships. In Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming, Orlando, FL, USA, 5 November 2013; pp. 76-85.
Stell, J.; Del Mondo, G.; Thibaud, R.; Claramunt, C. Spatio-temporal Evolution as Bigraph Dynamics. In Proceedings of the International Conference on Spatial Information Theory, Belfast, ME, USA, 12-16 September 2011; pp. 148-167.
Del Mondo, G.; Rodríguez, M.A.; Claramunt, C.; Bravo, L.; Thibaud, R. Modeling consistency of spatio-temporal graphs. Data Knowl. Eng. 2013, 84, 59-80.
Roshannejad, A.A.; Kainz, W. Handling Identities in Spatio-Temporal Databases. In Proceedings of the International Symposium on Computer-Assisted Cartography, Charlotte, NC, USA; 1995; pp. 119-126.
Frank, A.U. Socio-Economic Units: Their Life and Motion. In Life and Motion of Socio-Economic Units; Frank, A., Raper, J., Cheylan, J.P., Eds.; CRC Press: London, UK, 1996; pp. 27-41.
Galton, A. Continuous Change in Spatial Region. In Proceedings of the International Conference on Spatial Information Theory, Laurel Highlands, PA, USA, 15-18 October 1997; pp. 1-13.
Worboys, M.F. Modelling Changes and Events in Dynamic Spatial Systems with Reference to Socio-Economic Units. In Life and Motion of Socio-Economic Units; Taylor & Francis: London, UK, 2001; Volume 8.
Campos, J.; Hornsby, K.; Egenhofer, M. A Temporal Model of Virtual Reality Objects and their Semantics. J. Vis. Lang. Comput. 2003, 14, 469-492.
Sriti, M.; Thibaud, R.; Claramunt, C. A Fuzzy Identity-Based Temporal GIS for the Analysis of Geomorphometry Changes. In Journal on Data Semantics III; Springer: Berlin/Heidelberg, Germany, 2005; pp. 81-99.
Plumejeaud, C.; Mathian, H.; Gensel, J.; Grasland, C. Spatio-temporal analysis of territorial changes from a multi-scale perspective. Int. J. Geogr. Inf. Sci. 2011, 25, 1597-1612.
Hallot, P.; Billen, R. Enhancing Spatio-Temporal Identity: States of Existence and Presence. ISPRS Int. J. Geo-Inf. 2016, 5, 62.
Wegner, P. Concepts and Paradigms of Object-Oriented Programming. ACM Sigplan Oops Messenger 1990, 1, 7-87.
Rumbaugh, J.; Blaha, M.; Premerlani, W.; Eddy, F.; Lorensen, W.E. Object-Oriented Modeling and Design; Prentice-hall: Englewood Cliffs, NJ, USA, 1991; Volume 199.
Booch, G. Object-oriented Analysis and Design with Applications; Pearson Education India: Delhi, India, 1994.
Worboys, M.F. Object-Oriented Models of Spatiotemporal Information. In Proceedings of the GIS LIS-International Conference, Bethesda, MD, USA, 10-12 November 1992; p. 825.
Worboys, M.F. A model for spatio-temporal information. In Proceedings of the 5th International Symposium on Spatial Data Handling, Charleston, SC, USA, 3-7 August 1992; pp. 602-611.
Raper, J.; Livingstone, D. Development of a Geomorphological Spatial Model Using Object-Oriented Design. Int. J. Geogr. Inf. Syst. 1995, 9, 359-383.
Hamre, T. An Object-Oriented Conceptual Model For Measured And Derived Data Varying In 3D Space And Time. In Advances in GIS Research, Proceedings of the Sixth International Symposium on Spatial Data Handling; Taylor & Francis: London, UK, 1994.
Hamre, T. Development of Semantic Spatio-temporal Data Models for Integration of Remote Sensing and in Situ Data in a Marine Information System (MIS). Ph.D. Thesis, University of Bergen, Bergen, Norway, 1995.
Wachowicz, M.; Healey, R.G. Towards temporality in GIS. Innov. GIS 1994, 1, 105-115.
Hallot, P. Considering Rich Spatiotemporal Relationships in Cultural Heritage Information Management. In Proceedings of the International Conference on Spatial Information Theory, L’Aquila, Italy, 4-8 September 2018; pp. 339-347.
Nixon, V.; Stewart Hornsby, K. Using geolifespans to model dynamic geographic domains. Int. J. Geogr. Inf. Sci. 2010, 24, 1289-1308.
Yi, J.; Du, Y.; Liang, F.; Zhou, C.; Wu, D.; Mo, Y. A representation framework for studying spatiotemporal changes and interactions of dynamic geographic phenomena. Int. J. Geogr. Inf. Sci. 2014, 28, 1010-1027.
NEN 3610. Basic Schema for Geo-Information-Terms, Definitions, Relations and General Rules for the Interchange of Information of Spatial Objects Related to the Earth. NEN Normcommissie Geo-informatie. 2011. Available online: https://www.nen.nl/NEN-Shop-2/Standard/NEN-36102011-nl.htm (accessed on 20 March 2019).
Sowa, J.F. Processes and Causality. Available online: http://www.jfsowa.com/ontology/causal.htm (accessed on 21 January 2021).
Beebee, H.; Hitchcock, C.; Menzies, P. The Oxford Handbook of Causation; Oxford University Press: New York, NY, USA, 2009; p. 816.
Bohm, D. Causality and Chance in Modern Physics; Routledge: London, UK, 1984.
Von Wachter, D. How a Philosophical Theory of Causation May Help in Ontological Engineering. Int. J. Genom. 2003, 4, 111-114.
Forbus, K.D. Qualitative Process Theory. Artif. Intell. 1984, 24, 85-168.
De Kleer, J.; Brown, J.S. A Qualitative Physics Based on Confluences. Artif. Intell. 1984, 24, 7-83.
De Kleer, J.; Brown, J.S. Theories of causal ordering. Artif. Intell. 1986, 29, 33-61.
Itkonen, E. Causality in Linguistic Theory: A Critical Investigation into the Philosophical and Methodological Foundations of ‘Non-Autonomous’ Linguistics; Indiana University Press: Bloomington, IN, USA, 1983.
Van Laer, P. Causalité, déterminisme, prévisibilité et science moderne. Rev. Philos. De Louvain 1950, 48, 510-526.
Viljanen, V. Spinoza’s Essentialist Model of Causation. Inquiry 2008, 51, 412-437.
Honderich, T. The Oxford Companion to Philosophy, 2nd ed.; Oxford University Press: New York, NY, USA, 2005.
Falcon, A. Aristotle on Causality. In Stanford Encyclopedia of Philosophy; Center for the Study of Language and Information (CSLI), Stanford University: Stanford, CA, USA, 2019.
Melamed, Y.Y.; Lin, M. Principle of Sufficient Reason. In Stanford Encyclopedia of Philosophy; Center for the Study of Language and Information (CSLI), Stanford University: Stanford, CA, USA, 2016.
Bobro, M. Leibniz on Causation. In Stanford Encyclopedia of Philosophy; Center for the Study of Language and Information (CSLI), Stanford University: Stanford, CA, USA, 2017.
Mackie, J.L. The Cement of the Universe: A Study of Causation; Clarendon Press: New York, NY, USA, 1974.
Sosa, E.; Tooley, M. Causation; Oxford University Press: Midsomer Norton, UK, 1993.
Allen, E.; Edwards, G.; Bédard, Y. Qualitative causal modeling in temporal GIS. In Proceedings of the International Conference on Spatial Information Theory, Semmering, Austria, 21-23 September 1995; pp. 397-412.
Bhatt, M. A Causal Approach for Modelling Spatial Dynamics A Preliminary Report. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, 6-12 January 2007.
Galton, A.; Worboys, M. Processes and Events in Dynamic Geo-Networks. In Proceedings of the International Conference on GeoSpatial Sematics, Mexico City, Mexico, 29-30 November 2005; pp. 45-59.
Bleisch, S.; Duckham, M.; Galton, A.; Laube, P.; Lyon, J. Mining Candidate Causal Relationships in Movement Patterns. Int. J. Geogr. Inf. Sci. 2014, 28, 363-382.
Galton, A.; Duckham, M.; Both, A. Extracting Causal Rules from Spatio-Temporal Data. In Proceedings of the International Conference on Spatial Information Theory, Santa Fe, NM, USA, 12-16 October 2015; pp. 23-43.
Huang, Y.; Yuan, M.; Sheng, Y.; Min, X.; Cao, Y. Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios. ISPRS Int. J. Geo-Inf. 2019, 8, 566.
Courgeau, D. Réflexions sur la causalité en sciences sociales. Rev. Des Polit. Soc. Et Fam. 2000, 60, 49-60.
Whigham, P.A. Hierarchies of Space and Time. In Proceedings of the European Conference on Spatial Information Theory, Marciana Marina, Italy, 19-22 September 1993; pp. 190-201.
Reips, U.-D.; Waldmann, M.R. When learning order affects sensitivity to base rates: Challenges for theories of causal learning. Exp. Psychol. 2008, 55, 9-22.
Quinton, A. Objects and Events. Mind 1979, 88, 197-214.
Lombard, L.B. Events: A Metaphysical Study; Routledge: London, UK, 1986.
Hausman, D.M. Causal Asymmetries; Cambridge University Press: Cambridge, UK, 1998.
Ritter, J. Soil Erosion-Causes and Effects. 2012. Available online: http://www.omafra.gov.on.ca/english/engineer/facts/12-053.htm (accessed on 21 March 2021).
Born, M. Natural Philosophy of Cause and Chance; Clarendon Press: Oxford, UK, 1948.
Pazzani, M. A Computational Theory of Learning Causal Relationships. Cogn. Sci. 1991, 15, 401-424.
Bhatt, M.; Loke, S. Modelling Dynamic Spatial Systems in the Situation Calculus. Spat. Cogn. Comput. 2008, 8, 86-130.
Mau, I.; Hornsby, K.; Bishop, I.D. Modeling Geospatial Events and Impacts through Qualitative Change. In Proceedings of the International Conference on Spatial Cognition, Bremen, Germany, 24-28 September 2006; pp. 156-174.
Lehmann, J.; Gangemi, A. An ontology of physical causation as a basis for assessing causation in fact and attributing legal responsibility. Artif. Intell. Law 2007, 15, 301-321.
O’Connor, T.S. Persons and Causes: The Metaphysics of Free Will; Oxford University Press: New York, USA, 2002.
Schaffer, J. Contrastive Causation. Philos. Rev. 2005, 114, 327-358.
Vendler, Z. Verbs and Times. Philos. Rev. 1957, 66, 143-160.
Bleisch, S.; Duckham, M.; Laube, P.; Lyon, J. Identifying candidate causal relationships in fish movement patterns. In Proceedings of the GISRUK 2013, Liverpool, UK, 3-5 April 2013.
Ghazouani, F.; Farah, I.R.; Solaiman, B. A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery. IEEE Trans. Geosci. Remote Sens. 2019, 57, 8775-8795.
Hall, P.; Tewdwr-Jones, M. Urban and Regional Planning, 6th ed.; Routledge: London, UK, 2019.
Collins. Interpretation. In Collins English Dictionary; HarperCollins Publishers: New York, NY, USA, 2021.
Stefani, C. Maquettes Numériques Spatio-Temporelles d’édifices Patrimoniaux. Modélisation de la Dimension Temporelle et Multi-Restitutions D’édifices. Ph.D. Thesis, Arts et Métiers ParisTech, Aix-en-Provence, France, 2010.
Strothotte, T.; Masuch, M.; Isenberg, T. Visualizing knowledge about virtual reconstructions of ancient architecture. In Proceedings of the Computer Graphics International, Canmore, AB, Canada, 7-11 June 1999; pp. 36-43.
Raxhon, P. Critique Historique; Université de Liège: Liege, Belgium, 2016.
Saitta, D. Pragmatism in Archaeological Theory. Encycl. Glob. Archaeol. 2014, 6116-6122.
Grataloup, C. Singulier/pluriel. Espaces Temps 1998, 68, 6-15.
Bournon, F. Paris, Histoire, Monuments, Administration, Environs de Paris; A. Colin & Cie: Paris, France, 1888.
Ribière, M.; Dieng, R. Introduction of Viewpoints in Conceptual Graph Formalism. In Proceedings of the International Conference on Conceptual Structures, Seattle, WA, USA, 3-8 August 1997; pp. 168-182.
Couclelis, H. Space, time, geography. Geogr. Inf. Syst. 1999, 1, 29-38.
Weiser, M. The Computer for the 21 st Century. Sci. Am. 1991, 265, 94-105.
Schilit, B.N.; Theimer, M.M. Disseminating active map information to mobile hosts. IEEE Netw. 1994, 8, 22-32.
Abowd, G.D.; Dey, A.K.; Brown, P.J.; Davies, N.; Smith, M.; Steggles, P. Towards a Better Understanding of Context and Context-Awareness. In Proceedings of the International Symposium on Handheld and Ubiquitous Computing, Karlsruhe, Germany, 27-29 September 1999; pp. 304-307.
Prekop, P.; Burnett, M. Activities, context and ubiquitous computing. Comput. Commun. 2003, 26, 1168-1176.
Xu, L.D.; He, W.; Li, S. Internet of Things in Industries: A Survey. IEEE Trans. Ind. Inform. 2014, 10, 2233-2243.
De Matos, E.; Tiburski, R.T.; Moratelli, C.R.; Johann Filho, S.; Amaral, L.A.; Ramachandran, G.; Krishnamachari, B.; Hessel, F. Context information sharing for the Internet of Things: A survey. Comput. Netw. 2020, 166, 106988.
Perera, C.; Zaslavsky, A.; Christen, P.; Georgakopoulos, D. Context Aware Computing for The Internet of Things: A Survey. IEEE Commun. Surv. Tutor. 2014, 16, 414-454.
Pradeep, P.; Krishnamoorthy, S. The MOM of context-aware systems: A survey. Comput. Commun. 2019, 137, 44-69.
Kofod-Petersen, A.; Mikalsen, M. Context: Representation and Reasoning. Representing and Reasoning about Context in a Mobile Environment. Spec. Issue Rev. D’intelligence Artif. 2005, 19, 479-498.
Schilit, B.N.; Adams, N.; Want, R. Context-Aware Computing Applications. In Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA, USA, 8-9 December 1994; pp. 85-90.
Ryan, N.S.; Pascoe, J.; Morse, D.R. Enhanced Reality Fieldwork: The Context Aware Archaeological Assistant. In Computer Applications in Archaeology; Archaeopress: Oxford, UK, 1998.
Brown, P.J.; Bovey, J.; Chen, X. Context-aware applications: From the laboratory to the marketplace. IEEE Pers. Commun. 1997, 4, 58-64.
Chen, G.; Kotz, D. A Survey of Context-Aware Mobile Computing Research; Technical Report TR2000-381; Department of Computer Science, Dartmouth College: Hanover, PA, USA, 2000.
Strang, T.; Linnhoff-Popien, C. A Context Modeling Survey. In Proceedings of the Workshop Proceedings, Nottingham, UK, 7 September 2004.
Bettini, C.; Brdiczka, O.; Henricksen, K.; Indulska, J.; Nicklas, D.; Ranganathan, A.; Riboni, D. A survey of context modelling and reasoning techniques. Pervasive Mob. Comput. 2010, 6, 161-180.
Jiang, B.; Yao, X. Location-based services and GIS in perspective. Comput. Environ. Urban Syst. 2006, 30, 712-725.
Afyouni, I.; Ray, C.; Claramunt, C. Spatial models for context-aware indoor navigation systems: A survey. J. Spat. Inf. Sci. 2012.
Huang, H.; Gartner, G.; Krisp, J.M.; Raubal, M.; Van de Weghe, N. Location based services: Ongoing evolution and research agenda. J. Locat. Based Serv. 2018, 12, 63-93.
Brézillon, P.; Pomerol, J.-C. Contextual knowledge sharing and cooperation in intelligent assistant systems. Le Trav. Hum. 1999, 223-246.
Henricksen, K.; Indulska, J.; Rakotonirainy, A. Modeling Context Information in Pervasive Computing Systems. In Proceedings of the International Conference on Pervasive Computing, Zurich, Switzerland, 26-28 August 2002; pp. 167-180.
Zimmermann, A.; Lorenz, A.; Oppermann, R. An Operational Definition of Context. In Proceedings of the International and Interdisciplinary Conference on Modeling and Using Context, Roskilde, Denmark, 20-24 August 2007; pp. 558-571.
Wang, X.; Zhang, D.; Gu, T.; Pung, H.K. Ontology Based Context Modeling and Reasoning using OWL. In Proceedings of the IEEE Annual Conference on Pervasive Computing and Communications Workshops, Orlando, FL, USA, 14-17 March 2004; pp. 18-22.
Dey, A.K. Understanding and Using Context. Pers. Ubiquitous Comput. 2001, 5, 4-7.
Bisgaard, J.; Heise, M.; Steffensen, C. How Is Context and Context-Awareness Defined and Applied? A Survey of Context-Awareness; Aalborg University: Aalborg, Denmark, 2004; pp. 31-40.
Bellavista, P.; Corradi, A.; Fanelli, M.; Foschini, L. A survey of context data distribution for mobile ubiquitous systems. ACM Comput. Surv. 2012, 44.
Yürür, Ö.; Liu, C.H.; Sheng, Z.; Leung, V.C.M.; Moreno, W.; Leung, K.K. Context-Awareness for Mobile Sensing: A Survey and Future Directions. IEEE Commun. Surv. Tutor. 2016, 18, 68-93.
Bach, T.L. Construction d’un Web Sémantique Multi-Points de vue. Ph.D. Thesis, Ecole des Mines de Paris à Sophia Antipolis, Valbonne, France, 2006.
D’Aquin, M.; Lieber, J.; Napoli, A. La représentation de points de vue dans le système d’aide à la décision en cancérologie KASIMIR. Rev. Des Sci. Et Technol. De L’information-Série L’objet: Logicielbases De Donnéesréseaux 2007, 13, 143-175.
Limpens, F. Multi-Points of View Semantic Enrichment of Folksonomies. Ph.D. Thesis, Université Nice, Sophia Antipolis, France, 2010.
Spaccapietra, S.; Parent, C.; Vangenot, C. GIS Databases: From Multiscale to MultiRepresentation. In Proceedings of the International Symposium on Abstraction, Reformulation, and Approximation, Kananaskis, AB, Canada, 2-4 August 2000; pp. 57-70.
Samuel, J.; Servigne, S.; Gesquière, G. Representation of concurrent points of view of urban changes for city models. J. Geogr. Syst. 2020, 22, 335-359.
Parent, C.; Spaccapietra, S.; Zimányi, E. Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach; Springer Science & Business Media: Berlin, Germany, 2006.
Abiteboul, S.; Bonner, A. Objects and Views. In Proceedings of the SIGMOD Conference, Denver, CO, USA, 29-31 May 1991; pp. 238-247.
Zemmouri, E.M. Représentation et Gestion des Connaissances dans un Processus d’Extraction de Connaisssance à partir de Données Multi-Points de vue. Ph.D. Thesis, Ecole Nationale Supérieure d’Arts et Métiers, Meknes, Morocco, 2013.
Hemam, M. Développement des Ontologies Multi-Points de vue. Ph.D. Thesis, Université Mentouri Constantine, Constantine, Algeria, 2012.
Minsky, M. A framework for Representing Knowledge; Massachusetts Institute of Technology: Cambridge, MA, USA, 1974.
Bobrow, D.G.; Winograd, T. On Overview of KRL, a Knowledge Representation Language. Cogn. Sci. 1977, 1, 3-46.
Stefik, M.; Bobrow, D.G. Object-Oriented Programming: Themes and Variations. AI Mag. 1985, 6, 40.
Davis, H.E. VIEWS: Multiple Perspectives and Structured Objects in a Knowledge Representation Language; Massachusetts Institute of Technology: Cambridge, MA, USA, 1987.
Falquet, G.; Mottaz Jiang, C.-L. Navigation hypertexte dans une ontologie multi-points de vue. In Proceedings of the 2ème Conférence Internationale sur la Maîtrise Des Systèmes Complexes Et La Relation Homme-Système: Relation Homme-Système: Complexe?-NîmesTIC’2001, Nîmes, France, 12-14 December 2001; pp. 1-7.
Gilles, F.; Claire-Lise, M.J. Conflict Resolution in the Collaborative Design of Terminological Knowledge Bases. In Proceedings of the International Conference on Knowledge Engineering and Knowledge Management, Juan-les-Pins, France, 2-6 October 2000; pp. 156-171.
Falquet, G.; Jiang, C.-L.M. A Model for the Collaborative Design of Multi Point-of-View Terminological Knowledge Bases. In Knowledge Management and Organizational Memories; Dieng-Kuntz, R., Matta, N., Eds.; Springer: Boston, MA, USA, 2002; pp. 193-202.
Bouquet, P.; Giunchiglia, F.; Van Harmelen, F.; Serafini, L.; Stuckenschmidt, H. C-OWL: Contextualizing Ontologies. In Proceedings of the International Semantic Web Conference, Sanibel, FL, USA, 20-23 October 2003; pp. 164-179.
Bouquet, P.; Giunchiglia, F.; Van Harmelen, F.; Serafini, L.; Stuckenschmidt, H. Contextualizing ontologies. J. Web Semant. 2004, 1, 325-343.
D’Aquin, M. Un Portail Sémantique pour la Gestion des Connaissances en Cancérologie. Ph.D. Thesis, Université Henri Poincaré-Nancy I, Nancy, France, 2005.
Ribière, M. Représentation et Gestion de Multiples Points de vue dans le Formalisme Des Graphes Conceptuels. Ph.D. Thesis, Université de Nice, Nice, France, 1999.
Cahier, J.-P. Ontologies Sémiotique Pour le Web Socio Sémantique. Ph.D. Thesis, Université de Technologie de Troyes, Troyes, France, 2005.
Zaher, L.H.; Cahier, J.-P.; Pétard, X.; Leboeuf, J.P.; Guittard, C. Experimentation of a socially constructed “Topic Map” by the OSS community. In Proceedings of the IJCAI-05 workshop on Knowledge Management and Ontology Management (KMOM), Edimbourg, UK, 1 August 2005.
Peters, I. Folksonomies. Indexing and Retrieval in Web 2.0; Walter de Gruyter: Berlin, Germany, 2009.
Stead, S.; Doerr, M. CRMinf: The Argumentation Model. An Extension of CIDOC-CRM to Support Argumentation; CIDOC CRM-SIG: Paris, France, 2015.
ICOM/CIDOC. Available online: http://www.cidoc-crm.org (accessed on 24 January 2021).
Benerecetti, M.; Bouquet, P.; Ghidini, C. On the Dimensions of Context Dependence: Partiality, Approximation, and Perspective. In Proceedings of the International and Interdisciplinary Conference on Modeling and Using Context, Dundee, UK, 27-30 July 2001; pp. 59-72.
Wu, C.-C.; Lee, C.-Y.; Lin, I.-I. The Effect of the Ocean Eddy on Tropical Cyclone Intensity. J. Atmos. Sci. 2007, 64, 3562-3578.
