Spatiotemporal Epistematics Knowledge Synthesis
Graphical User Interface
Spatiotemporal Epistematics Knowledge Synthesis
Graphical User Interface
Downloads:
SEKS-GUI is free software.
Simply contact us to provide you with the key to obtain any of the following.
1.Latest version:
SEKS-GUI runs on Matlab; its components have been tested for usage on the Windows, MacOS, and Linux platforms (32/64-bit).
Software Requirement:
Matlab version R2012a and newer.
Note: Package might work fine under previous versions, but any resulting errors might be unaddressable.
2.Documentation:
3. Example datasets:
(A .zip file that includes two examples:
• an Arsenic concentration spatial study
• a space-time Total Ozone study)
4. Executable version
For the Windows platform only, there is a compiled application of SEKS-GUI that you can run even if you do not have Matlab installed. Contact us to ask about the availability of the compiled SEKS-GUI version.
To use this application, you need to download and install the Matlab Compiler Runtime component (MCR). You can download MCR from the Mathworks® website at this link. Note that using MCR has the limitation that Microsoft Excel (.xls) files cannot be read as input.
Contact:
This is the page of the Spatiotemporal Epistematics Knowledge Synthesis
Graphical User Interface (SEKS-GUI), a Matlab-based software package
for stochastic analysis of space-time and spatial data. SEKS-GUI is based on
the theoretical reasoning of the Knowledge Synthesis framework for Modern
Geostatistics (Christakos, 2000).
The interactive software library of SEKS-GUI:
explores natural processes that can be heterogenous, that is, spatially non-homogeneous and temporally non-stationary processes; examples include epidemic propagation, human exposure, hydrologic processes, air pollution modeling, etc.
expresses the dependence structure in spatiotemporal processes dependence by using spatiotemporal covariance models
synthesizes core knowledge bases, empirical evidence and multi-sourced system uncertainty
generates a meaningful picture of the real-world system using space-time dependent probability functions and associated maps
The implementation stages of the SEKS-GUI library are described in considerable detail in the paper by Yu et al. (2007). The wide applicability of SEKS-GUI is demonstrated by reviewing a selection of real-world case studies that have been previously published. The datasets are available to download for the following studies:
1)Black Death spatio-temporal Epidemic mapping; by means of combining information from a variety of sources across Europe at the time of the epidemic (Christakos et al, 2005).
2)Spatial study of health impacts due to naturally occurring high Arsenic concentrations in Bangladesh drinking water (Serre et al., 2003).
3)Spatiotemporal mapping of Total Ozone concentration in the atmosphere; by combining remote sensing monitored data with secondary, uncertain information from a tropospheric pressure model (Christakos et al., 2004)
References and related publications:
•Christakos G. 2000. Modern Spatiotemporal Geostatistics. Oxford Univ Press, New York, NY; 2012. New edition: Dover Publ Inc., Mineola, NY.
•Serre M. L., A. Kolovos, G. Christakos and K. Modis, 2003. An application of the holistochastic human exposure methodology to naturally occurring Arsenic in Bangladesh drinking water. Risk Analysis 23(3), pp. 515-528.
•Christakos G., A. Kolovos, M. L Serre and F. Vukovich. 2004. Total ozone mapping by integrating data bases from remote sensing instruments and empirical models. IEEE Trans. on Geosciences and Remote Sensing, 42(5), pp. 991-1008, 2004.
•Christakos, G., R.A. Olea, M.L. Serre, H.L. Yu, and L-L. Wang. 2005. Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death. Springer-Verlag, New York, NY.
•Yu H.-L., Kolovos A., Christakos G., Chen J.-C., Warmerdam S., and B. Dev. 2007. Interactive Spatiotemporal Modelling of Health Systems: The SEKS-GUI Framework. Stoch Envir Res and Risk Assess: Special Volume on Medical Geography as a Science of Interdisciplinary Knowledge Synthesis under Conditions of Uncertainty, 21(5), pp. 555-572.
A geostatistical software package for space-time analysis