Generally, the location server is constructed as a Moving Objects Database (MOD). In this paper, the key technologies of querying spatial-temporal data in MOD are presented, including data model and index structure. Such technologies are discussed and analyzed in detail, and the relative proposal...
The spatial‐temporal characteristics of field parcel geographical information are analysed into graph‐based, spatial‐temporal data models and are applied to the Field Parcel Updating Geographical Information System (FPUGIS), a system used to store update information. This new method is a vast ...
(TGIS).Now most of spatio-temporal data models deal with both conceptions separately,and cannot combine the merits of both models.In this paper,a new spatial-temporal data model based on state-event is presented,and the qualifications for conversion between spatial-temporal data models are ...
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repo
Quantifying and mapping local- and global-scale stressors in a standardized, comparable manner offers a powerful means to assess both the spatial pattern and temporal change of individual human pressures, as well as their total impact on natural systems across highly variable geographies2. Quantitative...
Analysis of microblog dynamic information of China's dengue fever based on LDA. Meanwhile, the spatial aggregation characteristics and temporal evolution of dengue fever cases were explored in combination with spatial analysis [18]. The topic was extracted from tweets about drugs, and a new method ...
Habitat quality is an important foundation for human well-being and sustainable development. It is of great significance for regional ecological conservation and sustainable land resource use. Therefore, this paper explores the changes in the spatial pat
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advan
The pyQuARC (pronounced "pie-quark") library was designed to read and evaluate descriptive metadata used to catalog Earth observation data products and files. This type of metadata focuses and limits attention to important aspects of data, such as the spatial and temporal extent, in a structured...
With the support of RS and GIS technology, this study uses spatial principal component analysis (SPCA) and the vulnerability scoring diagram (VSD) model to comprehensively and quantitatively analyze the spatial and temporal evolution characteristics and driving forces of ecological vulnerability in ...