University of Pretoria
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Reason: The content contained within this dataset is derived from the PhD dissertation 'Multiscale decomposition of spatial lattice data for hotspot prediction'. The dissertation has an embargo of two years to allow the research team to complete negotiations regarding publication or patents. By association, this dataset inherits the same embargo period as the PhD dissertation.

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Advancing lattice data techniques using multiscale decomposition : simulations and applications

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posted on 2024-03-18, 14:40 authored by René StanderRené Stander

The supporting material includes figures and tables of the work where spatial lattice techniques and methods were developed to detect and predict spatial hotspots. The multiscale decomposition algorithm, the Discrete pulse transform, is first extended to irregular lattice data to detect hotspots in spatial lattice data. Thereafter the variogram estimation (adopted from geostatistical analysis) is extended to spatial lattice data which is then utilized in a Geographically and temporally weighted regression spatio-temporal kriging method to predict spatial hotspots.

Funding

South Africa DST-NRF-SAMRC SARChI Research Chair in Biostatistics, Grant number: 114613

National Research Foundation (NRF), Grant number: 13778

History

Department/Unit

Statistics

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