Objectives & Scope

Scope of QGRG                                    

QGRG provides a forum for researchers, engineers, and practitioners in all applications that involve spatial information. QGRG encourages Fundamental research in handling geomorphological information. Interdisciplinary education among spatial information researchers, students, and practitioners. Members of QGRG will collaborate with other related members of the Indian Statistical Institute, as well as non-ISI members. Researchers and practitioners from related disciplines (e.g., geography, civil engineering, resources management) will be particularly welcome in QGRG. QGRG will be a place for researchers, and students interested in research, development, and deployment of solutions to Spatial Information Retrieval, Visualization, Analysis, Reasoning and Modelling problems. The spatial phenomena that would be given emphasis include, for example, human spatial phenomena, natural spatial phenomena (e.g. urban sprawl, landforms, terrain modelling, earth, atmospheric and ocean phenomena as derived from remotely sensed data sources) to understand via visualization of the spatial characteristics of these phenomena, and to unravel the hidden mechanisms to further predict future phenomena to provide spatial policies.

The scope of interests of the members covers areas from theoretical to applied aspects. The main sections of QGRG dealing with different areas of interest include:

Geomorphological Information Retrieval:

Geomorphological Information Integration:
Spatial Information Base: This section also constructs phenomenon-specific databases that are of use to researchers in a variety of fields. This section reconstructs scattered spatial data and spatial knowledge to compile a spatial information base. This section also studies the environments, methods, and systems needed for promoting social applications of the spatial information base.

Gemorphological Information Analysis: This section involves in developing methods to (i) analyze spatial distribution and (ii) show relationships of spatial objects via quantitative means across spatial and also temporal scales.

Geomorphological Information Reasoning:
Spatial and temporal Information Modelling: The aim of this section is to promote theoretical and empirical studies into diverse social, economic, health geographic phenomena, paying special attention to their spatio-temporal characteristics. The ultimate goal is to develop models to understand spatio-temporal behaviour.

Geomorphological Information Visualization: To collect and integrate various data types and information generated in the real world using spatio-temporal keys, researchers can recreate real world conditions and the changes that occur therein, generate information, mining spatial data, and integrate spatio-temporal data.

Geomorphological Information Modelling, Simulation and Visualization: