Spatial Data Analysis Network

Spatial analysis helps researchers understand patterns, relationships and trends based on location and geographic data

Whether you are planning a project, collecting spatial data, analysing geographic patterns or visualising results, the Spatial Data Analysis Network (SPAN) provides expert advice, training and support using a range of spatial analysis methods and technologies to help researchers develop solutions for real-world challenges.

For courses in geospatial science at Charles Sturt visit the School of Agricultural, Environmental and Veterinary Sciences.

Explore our services

Data and analytics

Preparing, analysing, and transforming research data into usable and visual formats for publication or reporting.

Geographic Information Systems

Creating simple to advanced mapping, spatial analyses and automated geospatial workflows for more complex analysis.

Remote Sensing

Delivering classification, change detection, and time‑series and object‑based analysis for accurate, publication‑ready maps, insights, and supporting scripts from multi‑temporal and UAV data.

Web and field applications

Creating interactive, accessible and well tested web experiences, and end-to-end spatial survey services, training, and infield support for reliable data collection.

Resources and training

Creating interactive, accessible and well tested web experiences, and end-to-end spatial survey services, training, and infield support for reliable data collection.

Case studies

Explore the case study for examples of SPAN services, methodologies, techniques and knowledges used to support research projects.

Access resources and support

Explore research tools

Request SPAN resources

Request SPAN services