The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the...
Real-world systems are dynamic, complex and geographic, yet many mathematical modeling tools do not ...
Although Geographic Information Systems (GIS) have been recognised as the most advanced technology ...
The main achievements of spatio-temporal modelling in the field of Geographic Information Science th...
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and anal...
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and anal...
Multi-scale analysis for spatio-temporal data forms a fundamental challenge for many analytic system...
Multi-scale analysis for spatio-temporal data forms a fundamental challenge for many analytic system...
Many disciplines are faced with the problem of handling time-series data. This study introduces an i...
Thesis (Ph.D.)--University of Washington, 2018Across scientific disciplines, an ever-growing proport...
Time presents an important component of spatial analysis. However, conventionalGeographic informatio...
When studying geographical phenomena, different levels of spatial and temporal granularity often hav...
Nowadays, most of the GIS- Geographic Information Systems- available considers the entities represen...
The need to record the history of and the ability to reason about changes in the world has lead to a...
Presented at the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information ...
This paper introduces an innovative representation of time series data, namely, the Continuous Trian...
Real-world systems are dynamic, complex and geographic, yet many mathematical modeling tools do not ...
Although Geographic Information Systems (GIS) have been recognised as the most advanced technology ...
The main achievements of spatio-temporal modelling in the field of Geographic Information Science th...
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and anal...
The representations of space and time are fundamental issues in GIScience. In prevalent GIS and anal...
Multi-scale analysis for spatio-temporal data forms a fundamental challenge for many analytic system...
Multi-scale analysis for spatio-temporal data forms a fundamental challenge for many analytic system...
Many disciplines are faced with the problem of handling time-series data. This study introduces an i...
Thesis (Ph.D.)--University of Washington, 2018Across scientific disciplines, an ever-growing proport...
Time presents an important component of spatial analysis. However, conventionalGeographic informatio...
When studying geographical phenomena, different levels of spatial and temporal granularity often hav...
Nowadays, most of the GIS- Geographic Information Systems- available considers the entities represen...
The need to record the history of and the ability to reason about changes in the world has lead to a...
Presented at the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information ...
This paper introduces an innovative representation of time series data, namely, the Continuous Trian...
Real-world systems are dynamic, complex and geographic, yet many mathematical modeling tools do not ...
Although Geographic Information Systems (GIS) have been recognised as the most advanced technology ...
The main achievements of spatio-temporal modelling in the field of Geographic Information Science th...