Space-time GIS

Definition

Space-time GIS refers to Geographic Information Systems that incorporate both spatial and temporal dimensions in the analysis of geographic phenomena. This approach allows for the representation and examination of how spatial entities and phenomena evolve over time, offering a dynamic perspective on geographic data. Space-time GIS is utilized to map, visualize, and analyze changes in geographic data, making it valuable for a wide range of applications that require understanding the interactions between space and time.

What is Comparing Scientific Practice in the US and in China?

Comparing scientific practice in the US and in China through space-time GIS involves the use of spatio-temporal data analysis to assess and compare the development, dissemination, and impact of scientific research in these countries over time. This use case leverages GIS technology to analyze trends in scientific research output, collaboration networks, publication hotspots, and the diffusion of scientific innovations. By examining these elements within a spatial-temporal framework, researchers and policymakers can gain insights into patterns of scientific activity, reveal differences and similarities between countries, and identify regions or time periods of significant scientific advancement or collaboration.

In practice, this use case may involve collecting spatial-temporal data related to research publications, patents, research funding, institutional collaborations, and more. Analysts may then use space-time GIS tools to visualize and compare these datasets, creating maps and temporal models that illustrate the flow and concentration of scientific activity across geographic and temporal scales. These analyses can unveil trends such as shifts in research focus, emergence of new research hubs, or the impact of policy changes on scientific production and collaboration.

FAQs

What types of data are used in space-time GIS for comparing scientific practice?

Data types may include research publications, patent records, research collaboration networks, institutional funding sources, geographical locations of research institutions, and temporal data such as publication dates or funding periods.

How can space-time GIS help policymakers?

Space-time GIS can assist policymakers in identifying trends and patterns in scientific research, enabling informed decision-making regarding funding allocation, research priorities, and international collaborations. It provides insights into the geographical distribution and temporal evolution of scientific activities.

What technical skills are needed to use space-time GIS?

Professionals using space-time GIS require skills in GIS software operation, spatial data analysis, temporal data management, and data visualization. Familiarity with statistical tools and programming languages can also be beneficial for advanced analytical tasks.