Research fellows and research associates at GIIS have been actively engaged in conducting capacity-building training programs. These programs cover a variety of topics aimed at enhancing skills and knowledge in the field of scientific research and geospatial analysis. A brief overview of the training courses are:

Basic and Advanced R Course:

This course covers the basics and advanced aspects of the R programming language a widely used language for statistical computing and data analysis. Participants in this course learn about data types, data manipulation, basic statistical analyses, and visualization techniques. 

Google Earth Engine (GEE) for Beginners:

Google Earth Engine (GEE) is a cloud-based platform for planetary-scale geospatial analysis. Participants of this course learn to harness GEE’s capabilities for processing and analyzing large-scale satellite imagery, conducting geospatial analysis, and gaining proficiency in environmental monitoring and geospatial research.

Basic and Advanced QGIS Training:

QGIS (Quantum GIS) is an open-source Geographic Information System (GIS) software. This training course covers essential topics such as map creation, data import/export, basic spatial analysis, and introductory cartography within QGIS. Participants also learn advanced spatial analysis techniques, geoprocessing workflows, and customization of QGIS through scripting or plugins.

Species Distribution Modelling:

This training course covers theoretical and practical aspects of Species Distribution Modeling (SDM). SDM is primarily used in ecology and conservation to predict the distribution of species based on environmental variables. It has now been utilized in other fields such as public health, agriculture, and wildlife biology.

Research Proposal Writing:

Research Proposal Writing is a critical skill for researchers. This training covers the essentials of preparing effective research proposals, including the formulation of research questions, research objectives, literature review, methodology, and budgeting.