Contemporary Computing Technologies for Processing Big Spatiotemporal Data - Space-Time Integration in Geography and GIScience - page 343

References

Agrawel D., et al. (2012). Challenges and opportunities with big data . Big data white paper (Com-
puting Research Association). http://cra.org/ccc/docs/init/bigdatawhitepaper.pdf . Accessed 23
Oct 2012.
Akyildiz, I. F., Su, W. L., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor
networks. IEEE Communications Magazine, 8 (40), 102-114.
Białecki, A., Muir, R., & Ingersoll, G. (2012, August 12-16). Apache lucene 4. In A. Trotman,
et al. (Ed.), SIGIR 2012 workshop on open source information retrieval (pp. 17-24). Portland:
Department of Computing Science, University of Otago.
Christian, E. (2005). Planning for the Global Earth Observation System of Systems (GEOSS).
Space Policy, 2 (21), 105-109.
Dublin. (2012). Dublin core metadata standards . http://dublincore.org . Accessed 2 Nov 2012.
FGDC (The Federal Geographic Data Committee). (2012). Geospatial metadata standards . http://
www.fgdc.gov/metadata/geospatial-metadata-standards . Accessed 2 Nov 2012.
GEO (2012).

The GEOSS common infrastructure . http://www.Earthobservations.org/gci_gci.

shtml . Accessed 2 Nov 2012.
Goldenberg, S. B., Landsea, C. W., Mestas-Nuñez, A. M., & Gray, W. M. (2001). The recent
increase in Atlantic hurricane activity: Causes and implications. Science, 5529 (293), 474-479.
Guan, Q. (2008). Parallel algorithms for geographic processing . PhD dissertation, University of
California at Santa Barbara, Santa Barbara, CA, USA. Advisor(s) Keith Clarke. AAI3319802.
Gui, Z., Yang, C., Xia, J., Liu, K., Xu, C., Li, J., & Lostritto, P. (2012). A performance, semantic
and service quality enhanced distributed search engine for improving geospatial resource
discovery. International Journal of Geographical Information Science, 27 , 1109-1132. doi: 10.
1080/13658816.2012.739692 .
Hart, J. K., & Martinez, K. (2006). Environmental sensor networks: A revolution in the earth
system science? Earth-Science Reviews, 78 (3-4), 177-191.
Hibbard, W., Paul, B., Battaiola, A., Santek, D., Voidrot-Martinez, M., & Dyer, C. (1994).
Interactive visualization of earth and space science computations. Computer, 27 (7), 65-72.
Huang, Q., & Yang, C. (2011). Optimizing grid configuration to support geospatial processing -
An example with DEM interpolation. Computers & Geosciences, 37 (2), 165-176.
Huang, Q., Yang, C., Nebert, D., Liu, K., & Wu, H. (2010, November 2). Cloud computing
for geosciences: Deployment of GEOSS clearinghouse on Amazon's EC2. In Proceedings of
ACM SIGSPATIAL international workshop on high performance and distributed geographic
information systems (HPDGIS) (2010), San Jose, CA.
Huang, M., Maidment, D. R., & Tian, Y. (2011). Using SOA and RIAs for water data discovery
and retrieval. Environmental Modelling and Software, 26 (11), 1309-1324.
Huang, Q., Yang, C., Benedict, K., Rezgui, A., Xie, J., Xia, J., & Chen, S. (2012). Using adaptively
coupled models and high-performance computing for enabling the computability of dust storm
forecasting. International Journal of Geographical Information Science, 27 , 765-784. doi: 10.
1080/13658816.2012.715650 .
Jacobson, M., Charlson, R. J., Rodhe, H., & Orians, G. H. (2000). Earth system science: From
biogeochemical cycles to global changes (International geophysics, Vol. 72, p. 527). San Diego:
Academic.
James, P., Stohl, A., Forster, C., Eckhardt, S., Seibert, P., & Frank, A. (2003). A 15-year
climatology of stratosphere-troposphere exchange with a Lagrangian particle dispersion model:
2. Mean climate and seasonal variability. Journal of Geophysical Research, 108 , 8522. doi: 10.
1029/2002JD002639 .
Keim, D. A. (2002). Information visualization and visual data mining. IEEE Transactions on
Visualization and Computer Graphics, 8 , 1-8.
Kosslyn, S. M. (2006). Graph design for the eye and mind . Oxford: Oxford University Press.