456
Shekhar, S., & Huang, Y. (2001). Discovering spatial co-location patterns: A summary of results.
In Advances in spatial and temporal databases. SSTD 2001 (pp. 236–256). Berlin, Heidelberg:
Springer. https://doi.org/10.1007/3-540-47724-1_13.
Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015b).
Spatiotemporal data mining: A computational perspective. ISPRS International Journal of
Geo-Information, 4(4), 2306–2338. https://doi.org/10.3390/ijgi4042306.
Slotterback, C. S., Runck, B., Pitt, D. G., Kne, L., Jordan, N. R., Mulla, D. J., Zerger,
C., & Reichenbach, M. (2016). Collaborative geodesign to advance multifunctional
landscapes. Landscape and Urban Planning, 156, 71–80. https://doi.org/10.1016/j.
landurbplan.2016.05.011.
Solomatine, D. P. (2005). Encyclopedia of Hydrological Sciences. Encyclopedia of hydrological
sciences, 14. https://doi.org/10.1002/0470848944.
Sonnemann, G., Vigon, B., Broadbent, C., Curran, M. A., Finkbeiner, M., Frischknecht, R., Inaba,
A., et al. (2011). Process on “Global guidance for LCA databases”. The International Journal
of Life Cycle Assessment, 16(1), 95–97.
Steering Committee for NASA Technology Roadmaps. (2016). NASA Space Technology roadmaps
and priorities revisited. Nap 23582. https://doi.org/10.17226/23582.
Swedish SPINE Database. (n.d.).
Trajcevski, G. (2011). Uncertainty in spatial trajectories. In Computing with spatial trajectories
(pp. 63–107). New York: Springer. https://doi.org/10.1007/978-1-4614-1629-6_3.
Uddin, M. S., Armstrong, P. R., & Zhang, N. (2006). Accuracy of grain moisture content prediction
using temperature and relative humidity sensors. Applied Engineering in Agriculture, 22(2),
267–273.
Umer, M., Kulik, L., & Tanin, E. (2010). Spatial interpolation in wireless sensor networks:
Localized algorithms for variogram modeling and kriging. GeoInformatica, 14(1), 101–134.
https://doi.org/10.1007/s10707-009-0078-3.
USGS. (2011). USGS groundwater watch. http://groundwaterwatch.usgs.gov/AWLSites.asp?S=3
02416087505501&ncd=.
USGS and Christiansen, G. (1984). U.S. Geological Survey circular. Circular. https://pubs.er.usgs.
gov/publication/cir930N.
Vaisman, A., & Zimányi, E. (2014). Data warehouse systems. Information and software technology (Vol. 51). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-54655-6.
Webber, M. (2015). Energy, water and food problems must be solved together. Scientific American,
312(2), 5.
Wilensky, U. (2012). NetLogo home page. Evanston, IL: Northwestern University. http://ccl.northwestern.edu/netlogo/index.shtml.
Zhang, J. (2010). Multi-source remote sensing data fusion: Status and trends. International Journal
of Image and Data Fusion, 1(1), 5–24. https://doi.org/10.1080/19479830903561035.
Importance of Computing
Allan, J. A. (2003). Virtual water – The water, food, and trade nexus. Useful concept or misleading metaphor? Water International, 28(1), 106–113. https://doi.org/10.1080/02508060.2003.9
724812.
Davis, L. A., Enge, P. K., & Gao, G. X. (2012). Global navigation satellite systems: Report
of a joint workshop of the National Academy of Engineering and the Chinese Academy of
Engineering. Washington, DC: The National Academy Press. ISBN: 978-0-309-22275-4.
Dixon, J., & McCann, M. (1997). Precision agriculture in the 21st century. Geospatial and information technologies in crop management. Washington, DC: National Academies Press. https://
doi.org/10.17226/5491.
Gassman, P. W., Philip, W., Manuel, M. R., Reyes, R., Colleen, C. H., Green, H., & Arnold, J. G.
(2007). The soil and water assessment tool: Historical development, applications, and future
research directions. Transactions of the ASAE, 50(4), 1211–1250.
E. Eftelioglu and S. Shekhar
Shekhar, S., & Huang, Y. (2001). Discovering spatial co-location patterns: A summary of results.
In Advances in spatial and temporal databases. SSTD 2001 (pp. 236–256). Berlin, Heidelberg:
Springer. https://doi.org/10.1007/3-540-47724-1_13.
Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015b).
Spatiotemporal data mining: A computational perspective. ISPRS International Journal of
Geo-Information, 4(4), 2306–2338. https://doi.org/10.3390/ijgi4042306.
Slotterback, C. S., Runck, B., Pitt, D. G., Kne, L., Jordan, N. R., Mulla, D. J., Zerger,
C., & Reichenbach, M. (2016). Collaborative geodesign to advance multifunctional
landscapes. Landscape and Urban Planning, 156, 71–80. https://doi.org/10.1016/j.
landurbplan.2016.05.011.
Solomatine, D. P. (2005). Encyclopedia of Hydrological Sciences. Encyclopedia of hydrological
sciences, 14. https://doi.org/10.1002/0470848944.
Sonnemann, G., Vigon, B., Broadbent, C., Curran, M. A., Finkbeiner, M., Frischknecht, R., Inaba,
A., et al. (2011). Process on “Global guidance for LCA databases”. The International Journal
of Life Cycle Assessment, 16(1), 95–97.
Steering Committee for NASA Technology Roadmaps. (2016). NASA Space Technology roadmaps
and priorities revisited. Nap 23582. https://doi.org/10.17226/23582.
Swedish SPINE Database. (n.d.).
Trajcevski, G. (2011). Uncertainty in spatial trajectories. In Computing with spatial trajectories
(pp. 63–107). New York: Springer. https://doi.org/10.1007/978-1-4614-1629-6_3.
Uddin, M. S., Armstrong, P. R., & Zhang, N. (2006). Accuracy of grain moisture content prediction
using temperature and relative humidity sensors. Applied Engineering in Agriculture, 22(2),
267–273.
Umer, M., Kulik, L., & Tanin, E. (2010). Spatial interpolation in wireless sensor networks:
Localized algorithms for variogram modeling and kriging. GeoInformatica, 14(1), 101–134.
https://doi.org/10.1007/s10707-009-0078-3.
USGS. (2011). USGS groundwater watch. http://groundwaterwatch.usgs.gov/AWLSites.asp?S=3
02416087505501&ncd=.
USGS and Christiansen, G. (1984). U.S. Geological Survey circular. Circular. https://pubs.er.usgs.
gov/publication/cir930N.
Vaisman, A., & Zimányi, E. (2014). Data warehouse systems. Information and software technology (Vol. 51). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-54655-6.
Webber, M. (2015). Energy, water and food problems must be solved together. Scientific American,
312(2), 5.
Wilensky, U. (2012). NetLogo home page. Evanston, IL: Northwestern University. http://ccl.northwestern.edu/netlogo/index.shtml.
Zhang, J. (2010). Multi-source remote sensing data fusion: Status and trends. International Journal
of Image and Data Fusion, 1(1), 5–24. https://doi.org/10.1080/19479830903561035.
Importance of Computing
Allan, J. A. (2003). Virtual water – The water, food, and trade nexus. Useful concept or misleading metaphor? Water International, 28(1), 106–113. https://doi.org/10.1080/02508060.2003.9
724812.
Davis, L. A., Enge, P. K., & Gao, G. X. (2012). Global navigation satellite systems: Report
of a joint workshop of the National Academy of Engineering and the Chinese Academy of
Engineering. Washington, DC: The National Academy Press. ISBN: 978-0-309-22275-4.
Dixon, J., & McCann, M. (1997). Precision agriculture in the 21st century. Geospatial and information technologies in crop management. Washington, DC: National Academies Press. https://
doi.org/10.17226/5491.
Gassman, P. W., Philip, W., Manuel, M. R., Reyes, R., Colleen, C. H., Green, H., & Arnold, J. G.
(2007). The soil and water assessment tool: Historical development, applications, and future
research directions. Transactions of the ASAE, 50(4), 1211–1250.
E. Eftelioglu and S. Shekhar