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For the sake of environmental change monitoring, a huge amount of geospatial and temporal data have been acquired through various networks of monitoring stations. For instance, daily precipitation and...
Modelling Multi-temporal Land Use Changes     multi-temporality  RS imagery  Maxent  machine learning  urban morphology  Wuhan       font style='font-size:12px;'> 2015/12/2
Understanding temporal urban growth is very crucial to the interpretation of urban morphology and a key challenge for the study of rapid urbanization in contemporary China. Previous land use change mo...
In this paper, the one-dimension river quality system dynamics model was applied to the water quality simulation, and the conceptual GIS-SD frame was constructed. Based on the component GIS and system...
Spatio-temporal Object Modeling in Fuzzy Topological Space     Topology  Fuzzy Spatial Objects  GIS  Image Classification       font style='font-size:12px;'> 2015/12/1
Fuzzy spatial objects have become more and more important in GIS applications. When spatial phenomena are generalized by the crisp form, a lot of quantitative information is lost. Land cover as a fuzz...
Temporal Geographic Information System (TGIS), which aims to collect, manage and analyze dynamic geographic phenomena, is a hot scientific research field. The all-important task of developing a TGIS i...
While considering monitoring actions aimed at natural hazards management, an historical research about the investigated phenomenon is mandatory, in order to acquire those data necessary to understand ...
Object-Relational Database (ORDB) techniques are developed rapidly in recent years and widely used for spatial data storage and manipulation. The ORDB has strong basis both on theories and application...
Spatial and Temporal Patterns of Global H5N1 Outbreaks     H5N1  GIS  Spatial  Temporal  Global  Hot spots       font style='font-size:12px;'> 2015/12/1
The global spread of highly pathogenic avian influenza (H5N1) in wild birds and poultry is considered a significant pandemic threat. Furthermore, human infections resulting from direct contact with in...
A micro-simulation framework allows for the combination of several highly disaggregated models integrating direct representations of individual actors and specific processes within detailed space and ...
Deriving Spatio-Temporal Relations from Simple Data Structure     Data Structure  Operation  Query  Object  Spatial  Temporal       font style='font-size:12px;'> 2015/12/1
A spatiotemporal data model is incomplete without three components: classes, consistency constraints, and operators. Classes define the structure of the model, constraints enforce consistency in the m...
As efforts grow to develop spatio-temporal database systems and temporal geographic information systems that are capable of conveying how geographic phenomena change, it is important to associate the ...
This study aims to automatically determine changes in urban areas from multi-temporal, multi-scale, and multi-platform remotely sensed data as a base for estimating changes in population. The data set...
The purpose of this paper is to propose new, rigorous, more robust and reliable models and methods for the calibration and orientation of multi-sensor systems with INS/GPS data. On the one hand, the c...
Polarimetric data of distributed scatterers can be fully characterized by the (3 £ 3) Hermitian positive definite matrix which follows a complex Wishart distribution under Gaussian assumption. A...
This paper discusses the judgement of data quality for a collection of 132 geodatasets and evaluates different methods of visualising the results for presentation alongside the datasets themselves in ...

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