883
Views
12
CrossRef citations to date
0
Altmetric
Forum: Context and Uncertainty in Geography and GIScience

Uncertainty and Context in Geography and GIScience: Reflections on Spatial Autocorrelation, Spatial Sampling, and Health Data

Pages 1499-1505 | Received 01 Sep 2017, Accepted 01 Oct 2017, Published online: 12 Feb 2018

References

  • American Association of Geographers. 2017. Program, 2017 annual meeting, April 5–9, Boston, Massachusetts. Washington, DC: American Association of Geographers.
  • Arbia, G., D. Griffith, and R. Haining. 1999. Error propagation modelling in raster GIS: Addition and ratioing operation. Cartography & Geographic Information Systems 26:297–315.
  • Besag, J. 1974. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, Series B 36:192–236.
  • Brus, D., and J. De Gruijter. 1997. Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion). Geoderma 80:1–44.
  • Bryden, D. 2000. Slide rule. In Encyclopedia of the scientific revolution: From Copernicus to Newton, ed. W. Applebaum, 934–35. London and New York: Routledge.
  • Buzas, J., L. Stefanski, and T. Tosteson. 2014. Measurement error. In Handbook of epidemiology, ed. W. Ahrens and I. Pigeot, 1241–82. New York: Springer.
  • Chun, Y., and D. Griffith. 2013. Spatial statistics & geostatistics. Thousand Oaks, CA: Sage.
  • Cipra, B. 1995. How number theory got the best of the Pentium chip. Science 267 (5195):175.
  • de Gruijter, J., D. Brus, M. Bierkens, and M. Knotters. 2006. Sampling for natural resource monitoring. Berlin: Springer-Verlag.
  • Diggle, P., R. Menezes, and T. L. Su. 2010. Geostatistical inference under preferential sampling. Journal of the Royal Statistical Society: Series C (Applied Statistics) 59:191–232.
  • Gelfand, A., S. Sahu, and D. Holland. 2012. On the effect of preferential sampling in spatial prediction. Environmetrics 23:565–78.
  • Griffith, D. 2005. Effective geographic sample size in the presence of spatial autocorrelation. Annals of the American Association of Geographers 95:740–60.
  • ———. 2013a. Better articulating normal curve theory for introductory mathematical statistics students: Power transformations and their back-transformations. The American Statistician 67:57–169.
  • ———. 2013b. Establishing qualitative geographic sample size in the presence of spatial autocorrelation. Annals of the American Association of Geographers 103:1107–22.
  • Griffith, D., and Y. Chun. 2014. Spatial autocorrelation and spatial filtering. In Handbook of regional science, ed. M. Fischer and P. Nijkamp, 1477–1507. Berlin: Springer-Verlag.
  • Griffith, D., D. Wong, and Y. Chun. 2015. Uncertainty related research issues in spatial analysis. In Uncertainty modelling and quality control for spatial data, ed. W. Shi, B. Wu, and A. Stein, 3–11. Boca Raton, FL: Taylor & Francis/CRC.
  • Grondona, M., and N. Cressie. 1991. Using spatial considerations in the analysis of experiments. Technometrics 33:381–92.
  • Halfhill, T. 1995. An error in a lookup table created the infamous bug in Intel's latest processor. BYTE (March). Accessed August 26, 2017. https://web.archive.org/web/20060209005434/http://www.byte.com/art/9503/sec13/art1.htm.
  • Müller, W. 2007. Collecting spatial data: Optimum design of experiments for random fields. 3rd ed. Berlin: Springer-Verlag.
  • Ohsawa, Y., T. Koshizuka, and O. Kurita. 1991. Errors caused by rounded data in two simple facility location problems. Geographical Analysis 23:56–73.
  • Rutledge, D. 2010. A primer on GPS truth. GPS World, May 1. Accessed August 26, 2017. http://gpsworld.com/gnss-systemalgorithms-methodsinnovation-accuracy-versus-precision-9889/.
  • Som, N., P. Monestiez, J. Ver Hoef, D. Zimmerman, and E. Peterson. 2014. Spatial sampling on streams: Principles for inference on aquatic networks. Environmetrics 25:306–23.
  • Stein, A., and C. Ettema. 2003. An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons. Agriculture, Ecosystems & Environment 94:31–47.
  • van Groenigen, J., and A. Stein. 1998. Constrained optimization of spatial sampling using continuous simulated annealing. Journal of Environmental Quality 27:1078–86.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.