temporal

© 2025 Justine Blanford

Spatial-Temporal Analysis Framework for Health and Disease Mapping and Modelling

By • • Knowledge, Public, Research, Teaching • , , • 4 minutes of reading

By Shahabuddin Amerudin Abstract The study of spatial-temporal dynamics in health and disease mapping is crucial for understanding the spread and control of diseases. This review examines a comprehensive framework that integrates various scales of temporal and spatial data to enhance health and disease modeling. The framework leverages granular to broad/noisy data types, transitioning from local observations to global predictive models. This multidimensional approach is essential for developing effective public health strategies and interventions. Introduction The integration of spatial and temporal dimensions in health and disease mapping provides a more nuanced understanding of epidemiological patterns (Blanford, 2025). The spatial-temporal analysis […]

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Geospatial Analysis and 4D-GIS in Mineral Exploration

By • • Knowledge, Project, Research, Teaching • , , , , , , , , • 6 minutes of reading

By Shahabuddin Amerudin Abstract Mineral exploration, a complex and high-stakes endeavor rife with uncertainties, is experiencing a paradigm shift through the integration of cutting-edge geospatial analysis and the revolutionary 4D-Geographic Information System (GIS). In this review, we unravel the profound impact of these technologies on mineral exploration, shedding light on their indispensable role in mitigating risks and significantly increasing the likelihood of discovering concealed mineral deposits. Our exploration traverses a spectrum of input datasets, encompassing remote sensing, exploration geochemistry, exploration geophysics, and geological indicators. Furthermore, we delve into the pivotal stages of user-guided interpretation and predictive modeling, which play a

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Predicting House Demand with Spatial Considerations in a Growing Suburb

By • • Knowledge, Research, Teaching • , , , , , , , • 4 minutes of reading

By Shahabuddin Amerudin Introduction As a real estate developer planning to invest in a growing suburban area, you recognize that housing demand is not solely influenced by time-related factors but also by spatial considerations. To make precise predictions about where and when houses will be in demand, you need to incorporate both temporal and spatial elements into your forecasting. Defining the Objective The objective remains to forecast the demand for houses in the suburban area over the next five years, but now with a spatial dimension. You want to estimate the number of new homes that potential buyers are likely

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