Abstract: This paper describes the spatiotemporal epistematics knowledge synthesis and graphical user interface (SEKSGUI) framework and its application in medical geography problems. Based on sound theoretical reasoning, the interactive software library of SEKSGUI explores heterogeneous (spatially non-homogeneous and temporally non-stationary) health attribute distributions (disease incidence, mortality, human exposure, epidemic propagation etc.); expresses the health systems dependence structure using (ordinary and generalized) spatiotemporal covariance models; synthesizes core knowledge bases, empirical evidence and multi-sourced system uncertainty; and generates a meaningful picture of the real-world system using spacetime dependent probability functions and associated maps of health attributes. The implementation stages of the SEKSGUI library are described in considerable detail using appropriate screens. The wide applicability of SEKSGUI is demonstrated by reviewing a selection of real-world case studies.
HouSI: A heuristic for the delimitation of housing submarkets and price homogeneous areas
Python library with spatially constrained clustering algorithms
Interactive tool for visualizing the interindustry dynamics in Colombian economy.
The Center for Urban and Environmental Studies, Urbam, is a new RiSE's partner. Interesting projects are coming!
Doctor Xinyue Ye, a RiSE’s academic affiliate, was awarded the Regional Development and Planning (RDPSG) Emerging Scholar by the Association of American Geographers (AAG).
The VI World Conference of the Spatial Econometrics Association (SEA) Conference in Latin America
