Towards a voxel-based geographic automata for the simulation of geospatial processes

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• 作者：Anthony Jjumba ^{aja1@sfu.ca" class="auth_mail" title="E-mail the corresponding author} ; Suzana Dragićević ; ^{suzanad@sfu.ca" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Voxel ; Voxel automata ; Geographic automata systems ; Spatiotemporal modelling ; Geospatial processes ; 4D GIS
• 刊名：ISPRS Journal of Photogrammetry and Remote Sensing
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：117
• 期：Complete
• 页码：206-216
• 全文大小：2666 K

文摘

Many geographic processes evolve in a three dimensional space and time continuum. However, when they are represented with the aid of geographic information systems (GIS) or geosimulation models they are modelled in a framework of two-dimensional space with an added temporal component. The objective of this study is to propose the design and implementation of voxel-based automata as a methodological approach for representing spatial processes evolving in the four-dimensional (4D) space–time domain. Similar to geographic automata models which are developed to capture and forecast geospatial processes that change in a two-dimensional spatial framework using cells (raster geospatial data), voxel automata rely on the automata theory and use three-dimensional volumetric units (voxels). Transition rules have been developed to represent various spatial processes which range from the movement of an object in 3D to the diffusion of airborne particles and landslide simulation. In addition, the proposed 4D models demonstrate that complex processes can be readily reproduced from simple transition functions without complex methodological approaches. The voxel-based automata approach provides a unique basis to model geospatial processes in 4D for the purpose of improving representation, analysis and understanding their spatiotemporal dynamics. This study contributes to the advancement of the concepts and framework of 4D GIS.