455
Guillibert, P. (2015). FEW nexus resource platform. http://www.water-energy-food.org/.
Harris, J. C. (2010). Clark University vicennial conference on psychology and pedagogy. Archives
of General Psychiatry, 67(3), 218. https://doi.org/10.1001/archgenpsychiatry.2010.16.
Heijungs, R., & de Koning, A. (2011). Computational challenges in huge LCA and EEIOA systems. In Innovations in sharing environmental observations and information. Aachen: Shaker
Verlag.
Isaak, D. J., Peterson, E. E., Ver Hoef, J. M., Wenger, S. J., Falke, J. A., Torgersen, C. E., et al. (2014).
Applications of Spatial Statistical Network Models to Stream Data. Wiley Interdisciplinary
Reviews: Water, 1(3), 277–294. https://doi.org/10.1002/wat2.1023.
Marcus, P.. (n.d.). Business leaders pitch water sharing between urban, rural communities. The
Durango Herald.
Miao, Y., Mulla, D. J., Randall, G. W., Vetsch, J. A., & Vintila, R. (2009). Combining chlorophyll
meter readings and high spatial resolution remote sensing images for in-season site-specific
nitrogen management of corn. Precision Agriculture, 10(1), 45–62. https://doi.org/10.1007/
s11119-008-9091-z.
Miller, H. J., & Han, J. (2001). Geographic data mining and knowledge discovery. Knowledge
creation diffusion utilization. Boca Raton, FL: CRC Press. http://books.google.com/
books?id=1ipxxOt_79sC.
Mohan, P., Shekhar, S., Shine, J. A., & Rogers, J. P. (2010). Cascading spatio-temporal pattern
discovery: A summary of results. Sdm, 24(11), 327–338. http://epubs.siam.org/doi/abs/10.113
7/1.9781611972801.29%5Cnhttp://www.it.uniovi.es/opnet/IADIS2004_english.pdf.
Mohtar, R. H., & Daher, B. (2012). Water, energy, and food: The ultimate nexus. Encyclopedia of
agricultural, food, and biological engineering. London: Taylor & Francis. http://wefnexustool.
org/docs/water,%20energy,%20and%20food_the%20ultimate%20nexus%20(mohtar,%20
daher,%202012).pdf.
None. (2016). Identifying interdisciplinary data science approaches and challenges to enhance
understanding of interactions of food systems with energy and water systems. http://www.spatial.cs.umn.edu/few/few_report_draft.pdf.
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J., Torn, R., Diak, G. R.,
Schmugge, T. J., & Tanner, B. C. W. (2003). Remote sensing of surface energy fluxes at 10
1
-m
pixel resolutions. Water Resources Research, 39(8). https://doi.org/10.1029/2002WR001775.
NSF. (2015). Dear colleague letter: SEES: Interactions of food systems with water and energy
systems.
Okabe, A., & Sugihara, K. (2012). Spatial analysis along networks: Statistical and computational
methods (statistics in practice). New York: John Wiley & Sons.
Oliver, D., S. Shekhar, J.M. Kang, R. Laubscher, V. Carlan, and A. Bannur. (2014a). A K-main
routes approach to spatial network activity summarization. IEEE Transactions on Knowledge
and Data Engineering, 26, 1464–1478. IEEE. https://doi.org/10.1109/TKDE.2013.135
Oliver, D., Shekhar, S., Zhou, X., Eftelioglu, E., Evans, M. R., Zhuang, Q., Kang, J. M., Laubscher,
R., & Farah, C. (2014b). Significant route discovery: A summary of results. Lecture Notes in
Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture
Notes in Bioinformatics), 8728, 284–300.
Rebitzer, G., Ekvall, T., Frischknecht, R., Hunkeler, D., Norris, G., Rydberg, T., Schmidt, W.,
Suh, S., Weidema, B., & Pennington, D. W. (2004). Life cycle assessment: Framework, goal
and scope definition, inventory analysis, and applications. Environment International, 30(5),
701–720. https://doi.org/10.1016/j.envint.2003.11.005.
Roisin,
B. R.
(2008).
Life-Cycle
Assessment
(LCA).
http://engineering.dartmouth.edu/~cushman/courses/engs171/LCA.pdf%5Cnpapers2://publication/
uuid/86C92A41-44D7-46B3-9092-43176DA8B84B.
Sala, S., Reale, F., Cristobal-Garcia, J., Marelli, L., & Pant, R. (2016). Life cycle assessment for
the impact assessment of policies. EUR 28380 EN.
Shekhar, S., Evans, M. R., Kang, J. M., & Mohan, P. (2011b). Identifying patterns in spatial information: A survey of methods. Wiley Interdisciplinary Reviews: Data Mining and Knowledge
Discovery, 1(3), 193–214. https://doi.org/10.1002/widm.25.
16 Computing
Guillibert, P. (2015). FEW nexus resource platform. http://www.water-energy-food.org/.
Harris, J. C. (2010). Clark University vicennial conference on psychology and pedagogy. Archives
of General Psychiatry, 67(3), 218. https://doi.org/10.1001/archgenpsychiatry.2010.16.
Heijungs, R., & de Koning, A. (2011). Computational challenges in huge LCA and EEIOA systems. In Innovations in sharing environmental observations and information. Aachen: Shaker
Verlag.
Isaak, D. J., Peterson, E. E., Ver Hoef, J. M., Wenger, S. J., Falke, J. A., Torgersen, C. E., et al. (2014).
Applications of Spatial Statistical Network Models to Stream Data. Wiley Interdisciplinary
Reviews: Water, 1(3), 277–294. https://doi.org/10.1002/wat2.1023.
Marcus, P.. (n.d.). Business leaders pitch water sharing between urban, rural communities. The
Durango Herald.
Miao, Y., Mulla, D. J., Randall, G. W., Vetsch, J. A., & Vintila, R. (2009). Combining chlorophyll
meter readings and high spatial resolution remote sensing images for in-season site-specific
nitrogen management of corn. Precision Agriculture, 10(1), 45–62. https://doi.org/10.1007/
s11119-008-9091-z.
Miller, H. J., & Han, J. (2001). Geographic data mining and knowledge discovery. Knowledge
creation diffusion utilization. Boca Raton, FL: CRC Press. http://books.google.com/
books?id=1ipxxOt_79sC.
Mohan, P., Shekhar, S., Shine, J. A., & Rogers, J. P. (2010). Cascading spatio-temporal pattern
discovery: A summary of results. Sdm, 24(11), 327–338. http://epubs.siam.org/doi/abs/10.113
7/1.9781611972801.29%5Cnhttp://www.it.uniovi.es/opnet/IADIS2004_english.pdf.
Mohtar, R. H., & Daher, B. (2012). Water, energy, and food: The ultimate nexus. Encyclopedia of
agricultural, food, and biological engineering. London: Taylor & Francis. http://wefnexustool.
org/docs/water,%20energy,%20and%20food_the%20ultimate%20nexus%20(mohtar,%20
daher,%202012).pdf.
None. (2016). Identifying interdisciplinary data science approaches and challenges to enhance
understanding of interactions of food systems with energy and water systems. http://www.spatial.cs.umn.edu/few/few_report_draft.pdf.
Norman, J. M., Anderson, M. C., Kustas, W. P., French, A. N., Mecikalski, J., Torn, R., Diak, G. R.,
Schmugge, T. J., & Tanner, B. C. W. (2003). Remote sensing of surface energy fluxes at 10
1
-m
pixel resolutions. Water Resources Research, 39(8). https://doi.org/10.1029/2002WR001775.
NSF. (2015). Dear colleague letter: SEES: Interactions of food systems with water and energy
systems.
Okabe, A., & Sugihara, K. (2012). Spatial analysis along networks: Statistical and computational
methods (statistics in practice). New York: John Wiley & Sons.
Oliver, D., S. Shekhar, J.M. Kang, R. Laubscher, V. Carlan, and A. Bannur. (2014a). A K-main
routes approach to spatial network activity summarization. IEEE Transactions on Knowledge
and Data Engineering, 26, 1464–1478. IEEE. https://doi.org/10.1109/TKDE.2013.135
Oliver, D., Shekhar, S., Zhou, X., Eftelioglu, E., Evans, M. R., Zhuang, Q., Kang, J. M., Laubscher,
R., & Farah, C. (2014b). Significant route discovery: A summary of results. Lecture Notes in
Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture
Notes in Bioinformatics), 8728, 284–300.
Rebitzer, G., Ekvall, T., Frischknecht, R., Hunkeler, D., Norris, G., Rydberg, T., Schmidt, W.,
Suh, S., Weidema, B., & Pennington, D. W. (2004). Life cycle assessment: Framework, goal
and scope definition, inventory analysis, and applications. Environment International, 30(5),
701–720. https://doi.org/10.1016/j.envint.2003.11.005.
Roisin,
B. R.
(2008).
Life-Cycle
Assessment
(LCA).
http://engineering.dartmouth.edu/~cushman/courses/engs171/LCA.pdf%5Cnpapers2://publication/
uuid/86C92A41-44D7-46B3-9092-43176DA8B84B.
Sala, S., Reale, F., Cristobal-Garcia, J., Marelli, L., & Pant, R. (2016). Life cycle assessment for
the impact assessment of policies. EUR 28380 EN.
Shekhar, S., Evans, M. R., Kang, J. M., & Mohan, P. (2011b). Identifying patterns in spatial information: A survey of methods. Wiley Interdisciplinary Reviews: Data Mining and Knowledge
Discovery, 1(3), 193–214. https://doi.org/10.1002/widm.25.
16 Computing