479
Further Reading
Andrienko, G., Andrienko, N., Mladenov, M., Mock, M., & Politz, C. (2012). Identifying place histories from activity traces with an eye to parameter impact. IEEE Transactions on Visualization
and Computer Graphics, 18(5), 675–688.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rodenbeck, C., Arain,
M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A.,
Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy,
N., Williams, C., Woodward, F. I., & Papale, D. (2010). Terrestrial gross carbon dioxide uptake:
Global distribution and covariation with climate. Science, 329, 834–838.
Bizikova, L., Roy, D., Swanson, D., Venema, H. D., & McCandless, M. (2013). The waterenergy- food security nexus: Towards a practical planning and decision-support framework for
landscape investment and risk management. Winnipeg, Manitoba: International Institute for
Sustainable Development.
Borowski, I., & Hare, M. (2007). Exploring the gap between water managers and researchers:
Difficulties of model-based tools to support practical water management. Water Resources
Manage, 21(7), 1049–1074.
Bosilovich, M. G., Akella, S., Coy, L., Cullather, R., Draper, C., Gelaro, R., & Kovach, R. (2015).
MERRA-2: Initial evaluation of the climate. Technical Report Series on Global Modeling and
Data Assimilation, NASA/TM–2015-104606/Vol. 43.
Brown, E. T., Liu, J., Brodley, C. E., & Chang, R. (2012). Dis-function: Learning distance functions interactively. In IEEE conference on visual analytics science and technology (pp. 83–92).
Seattle, WA: IEEE.
Burch, S., Sheppard, S. R. J., Shaw, A., & Flanders, D. (2010). Planning for climate change in a
flood-prone community: Municipal barriers to policy action and the use of visualizations as
decision-support tools. Journal of Flood Risk Management, 3(2), 126–139.
Cash, D. W. (2001). “In order to aid in diffusing useful and practical information”: Agricultural
extension and boundary organizations. Science, Technology & Human Values, 26(4), 431–453.
Chen, K., & Liu, L. (2006). iVIBRATE: Interactive visualization based framework for clustering
large datasets. ACM Transactions on Information Systems, 24(2), 245–294.
Clark, W. C., Tomich, T. P., van Noordwijk, M., Guston, D., Catacutan, D., Dickson, N. M., &
McNie, E. (2011). Boundary work for sustainable development: Natural resource management
at the Consultative Group on International Agricultural Research (CGIAR). Proceedings of
the National Academy of Sciences of the United States of America. https://doi.org/10.1073/
pnas.0900231108.
Cliburn, D. C., Feddema, J. J., Miller, J. R., & Slocum, T. A. (2002). Design and evaluation of
a decision support system in a water balance application. Computers & Graphics, 26(6),
931–949.
Cosgrove, B. A., Lohmann, D., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., &
Robock, A. (2003). Real-time and retrospective forcing in the North American Land Data
Assimilation System (NLDAS) project. Journal of Geophysical Research, 108(D22). https://
doi.org/10.1029/2002JD003118.
Cutts, B. B., White, D. D., & Kinzig, A. P. (2011). Participatory geographic information systems for
the co-production of science and policy in an emerging boundary organization. Environmental
Science & Policy, 14(8), 977–985.
Dilling, L., & Lemos, M. C. (2011). Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy. Global Environmental Change,
21(2), 680–689.
Fujimura, J. H. (1992). Crafting science: Standardized packages, boundary objects, and “translation.”. In A. Pickering (Ed.), Science as practice and culture. University of Chicago
Press. pp. 168–211. http://www.philsci.univ.kiev.ua/UKR/courses/asp/asp-lit/Andrew%20
Pickering%20(Ed.)-Science%20as%20Practice%20and%20Culture-University%20of%20
Chicago%20Press%20(1992)%20(1).pdf
17 Applying Science to Practice
Further Reading
Andrienko, G., Andrienko, N., Mladenov, M., Mock, M., & Politz, C. (2012). Identifying place histories from activity traces with an eye to parameter impact. IEEE Transactions on Visualization
and Computer Graphics, 18(5), 675–688.
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rodenbeck, C., Arain,
M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A.,
Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy,
N., Williams, C., Woodward, F. I., & Papale, D. (2010). Terrestrial gross carbon dioxide uptake:
Global distribution and covariation with climate. Science, 329, 834–838.
Bizikova, L., Roy, D., Swanson, D., Venema, H. D., & McCandless, M. (2013). The waterenergy- food security nexus: Towards a practical planning and decision-support framework for
landscape investment and risk management. Winnipeg, Manitoba: International Institute for
Sustainable Development.
Borowski, I., & Hare, M. (2007). Exploring the gap between water managers and researchers:
Difficulties of model-based tools to support practical water management. Water Resources
Manage, 21(7), 1049–1074.
Bosilovich, M. G., Akella, S., Coy, L., Cullather, R., Draper, C., Gelaro, R., & Kovach, R. (2015).
MERRA-2: Initial evaluation of the climate. Technical Report Series on Global Modeling and
Data Assimilation, NASA/TM–2015-104606/Vol. 43.
Brown, E. T., Liu, J., Brodley, C. E., & Chang, R. (2012). Dis-function: Learning distance functions interactively. In IEEE conference on visual analytics science and technology (pp. 83–92).
Seattle, WA: IEEE.
Burch, S., Sheppard, S. R. J., Shaw, A., & Flanders, D. (2010). Planning for climate change in a
flood-prone community: Municipal barriers to policy action and the use of visualizations as
decision-support tools. Journal of Flood Risk Management, 3(2), 126–139.
Cash, D. W. (2001). “In order to aid in diffusing useful and practical information”: Agricultural
extension and boundary organizations. Science, Technology & Human Values, 26(4), 431–453.
Chen, K., & Liu, L. (2006). iVIBRATE: Interactive visualization based framework for clustering
large datasets. ACM Transactions on Information Systems, 24(2), 245–294.
Clark, W. C., Tomich, T. P., van Noordwijk, M., Guston, D., Catacutan, D., Dickson, N. M., &
McNie, E. (2011). Boundary work for sustainable development: Natural resource management
at the Consultative Group on International Agricultural Research (CGIAR). Proceedings of
the National Academy of Sciences of the United States of America. https://doi.org/10.1073/
pnas.0900231108.
Cliburn, D. C., Feddema, J. J., Miller, J. R., & Slocum, T. A. (2002). Design and evaluation of
a decision support system in a water balance application. Computers & Graphics, 26(6),
931–949.
Cosgrove, B. A., Lohmann, D., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., &
Robock, A. (2003). Real-time and retrospective forcing in the North American Land Data
Assimilation System (NLDAS) project. Journal of Geophysical Research, 108(D22). https://
doi.org/10.1029/2002JD003118.
Cutts, B. B., White, D. D., & Kinzig, A. P. (2011). Participatory geographic information systems for
the co-production of science and policy in an emerging boundary organization. Environmental
Science & Policy, 14(8), 977–985.
Dilling, L., & Lemos, M. C. (2011). Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy. Global Environmental Change,
21(2), 680–689.
Fujimura, J. H. (1992). Crafting science: Standardized packages, boundary objects, and “translation.”. In A. Pickering (Ed.), Science as practice and culture. University of Chicago
Press. pp. 168–211. http://www.philsci.univ.kiev.ua/UKR/courses/asp/asp-lit/Andrew%20
Pickering%20(Ed.)-Science%20as%20Practice%20and%20Culture-University%20of%20
Chicago%20Press%20(1992)%20(1).pdf
17 Applying Science to Practice