![]() ![]() However, these concepts are in essence interrelated. Furthermore, the literature usually presents these concepts separately and rarely approaches them from a holistic perspective. Typical cases could be related to datasets capturing the characteristics of smart cities, or involved in the decision-support applications for health crisis management. This is particularly interesting in the case of heterogeneous data while integrating multi-source data. In GIS, the consideration of these concepts allows for better data integration and promotes the adoption of more advanced strategies for spatio-temporal analysis. We consider that these concepts should benefit from further developments since such concepts contribute to improve the representation capability of spatio-temporal models. Many concepts related to spatio-temporal modeling have been advanced, for example, identity, event, process, causality, or interpretation. These models are tools to study and understand spatial relationships, processes, and trends by offering support for reasoning and analysis. They are also employed to represent phenomena such as urbanization or coastal erosion. These models represent changes that occur at the level of the geographical object, such as the evolution of a land parcel or a building. This understanding of dynamics is based on spatio-temporal models. This work can be beneficial for researchers, students, and developers interested in advanced spatio-temporal modeling. In addition, this framework aims at providing keys for a new interpretation and classification of spatio-temporal conceptual models. The objective of this framework is to provide a guideline to orient the design of future generations of GIS data models, enabling them to achieve a better representation of available spatio-temporal data. In this work, we propose to represent these interrelationships in the form of a hierarchical pyramidal framework and to further explore this set of concepts. Therefore, we believe that the semantics of modeling would be improved by considering these concepts jointly. While conventional literature generally presents these concepts separately and rarely approaches them from a holistic perspective, they are in fact interrelated. The latter involves a set of considerations like those related to managing changes and object identities, modeling possible causal relations, and integrating multiple interpretations. There is a demand to further develop spatio-temporal conceptual models to comprehensively represent the nature of the evolution of geographic objects. ![]() To be honest, thank you for reading my TASKr Review ! See you later.Over the last decade, innovative computer technologies and the multiplication of geospatial data acquisition solutions have transformed the geographic information systems (GIS) landscape and opened up new opportunities to close the gap between GIS and the dynamics of geographic phenomena. I love material that does NOT leave unanswered questions, has a real case study and it can easily be duplicated. It's a COMPLETE, step-by-step system that nobody is doing (at least not this way). If this sounds familiar here is something that will help you remedy that situation. I feel bad when I hear story after story like this because I know EXACTLY why it's happening. Some people are working a flawed method and do not have a reliable SYSTEM to pursue. When someone has tried & tried, taken massive action, put in the hours but still has nothing to show for it. Implement our little “Twist” and compound your earnings.A complete A- Z guide with nothing left out or to chance.Make $$$ immediately after you start doing this technique. ![]() No fluff, straight to the point “do this, now do that” style. ![]()
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