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Geographic applications often demand an integrative approach to examine changes and interactions over space and time. Adding time into geospa- tial databases is a Yuan UB300 from trivial task.
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Currently, com- mercial or public-domain temporal GIS support cell-based spatial data i. Research-grade temporal GIS remain limited to pilot studies or prototypes. While comprehen- Yuan UB300 temporal GIS are still unavailable, much progress has been made to advance the conceptualization, repre- sentation, and reasoning of changes, events, processes, and dynamics in geographic worlds. As early asthe geographer James M.
His Yuan UB300 represents a classic space-centered view of geography and a process-based approach to uniting space and time. The thought continues in geographic data handling and analysis and in GIS developments.
Geogra- pher Brian Berry later proposed geographic matrices of places and characteristics as a basic framework to facili- tate place-to-place comparison of geographic variables. He furthermore organized geographic matrices in a temporal sequence to aid the study of changes in spatial association and areal differentiation. The structure of geographic matrices closely resembles the snapshot approach to Yuan UB300 the temporal dimen- sion into GIS databases by time sequencing GIS data layers.
Instead of places, GIS data layers use spatial data objects cells or geometric objects to represent spatial dimension- ality and location and to position spatial Yuan UB300 objects in different rows and their characteristics in columns. The strong relational database component in GIS technology Temporal GIS and Applications further strengthens the space-centered view since a col- umn in a GIS attribute table is a descriptor of a spatial data object; the existence of attributes depends strongly upon the records of spatial objects.
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On the other hand, a spatial data object may exist without any information about its attributes. In this case, null or zero values are commonly assigned as appropriate to the columns Yuan UB300 the spatial data object. In other words, characteristics or attributes can Yuan UB300 independently of spatial objects in a geographic table, a distinctive concept from the conven- tional GIS database design.
Yuan UB300 Fundamentally, both approaches fol- low the Yuan UB300 paradigm. Uniting space and time is essential to understanding geo- graphic worlds as space—time interactions drive change and movement in geography. Since the late s, many GIScience researchers have proposed numerous approach- es to integrating the spatial and temporal dimensions of geographic data.
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Advanced Functions for Field-Based Applications . The book introduces a temporal GIS with strong Yuan UB300 and computational support to spatiotemporal mapping and modeling. While the temporal GIS can only handle raster cell-based data, the book is a milestone in the develop- ment of temporal GIS tools to analyze and model spa- tiotemporal data. While progress has been made in tempo- ral GIS, conceptual and technical developments as well as many case studies, there is no large-scale robust implemen- tation of these concepts for a comprehensive temporal GIS. Many spatiotemporal data models have been proposed cover- ing a wide range of perspectives on spatiotemporal think- ing and space—time integration.
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Many fundamental dif- ferences between time and space have been recognized, such as dimensionality two-dimensional space and one- Yuan UB300 time and directionality unlimited in space, but one direction in time. Time has been characterized by different types such as world time, transaction time, and database timedifferent topologies such as linear time, branching time, parallel time, and cyclic timedifferent concepts such as absolute time, relative timedifferent reasoning strategies such as instant-based, interval-based, event-basedand other distinct properties. In reviewing temporal GIS development and the devel- opments in temporal database systems, Yuan  summa- rized the comparable nature of the two related disciplines. In her analysis, temporal database systems mainly apply time-stamping techniques to incorporate time into relation- al or object-oriented databases by time-stamping tables, attributes, or values.
(PDF) Temporal GIS and Applications
In parallel, temporal GIS adopts the snapshot model by time-stamping individual data layers, the space—time composite model by time-stamping indi- vidual attributes associated with a spatial object, and the space—time object Yuan UB300 by time-stamping individual val- ues with attributes of a spatial object. Keeping temporal lineages of spa- tial objects before and after restructuring is not a trivial task, especially when the study area becomes more and more fragmented over time. Many event- process- movement- and activity-based temporal GIS data models have been proposed in response to the weaknesses of time-stamping GIS approaches [7,8].
In general, these temporal GIS data models attempt to capture the integrative spatial and temporal dimensions of geographic data and seek the fundamental space—time units meaningful to the chosen application domains.
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