Description
SpatialLab@UP is a fast-growing, dynamic research group that specialises in spatial statistics and geostatistics. We analyse data with a locational aspect, such as crime locations, incidences of disease, distributions of roads and buildings, and more. Our theoretical areas include point pattern analysis, spatial linear networks, nonconvex spatial domains, spatial dynamic processes, and AI for spatial image analysis. Our research applications target relevant problems within South Africa and the developing world, including criminology, disease modelling, urban development and agriculture.
Collaborators
The UP staff acting as PIs for the group are:
Kabelo Mahloromela
Renate Thiede
Local collaborators include:
SEPIMOD: https://raymandoc.quarto.pub/sepimod/
Dr Jaco Kemp (SU)
SDGs
Our research links to the following SDGs:
SDG 3: Good health and well-being
SDG 9: Industry, innovation and infrastructure
SDG 11: Sustainable cities and communities
Recent published works of the group:
Banner image accreditation:
Martin Grandjean, CC BY-SA 4.0, via Wikimedia Commons
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