Geographic box plots

Physical Geography

Volumn 28, Issue 4, 2007, Pages 331-344

  Willmott, Cort J ^a   Robeson, Scott M ^b   Matsuura, Kenji ^a  

^a UNIVERSITY OF DELAWARE   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

Box plots; Spatial statistics; Statistical graphics; Visualization

Indexed keywords

AIR TEMPERATURE; GEOGRAPHICAL DISTRIBUTION; GRAPHICAL METHOD; HUMAN GEOGRAPHY; POPULATION DENSITY; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; VISUALIZATION;

ARCTIC; NORTH AMERICA; UNITED STATES;

EID: 41149143767     PISSN: 02723646     EISSN: None     Source Type: Journal    
DOI: 10.2747/0272-3646.28.4.331     Document Type: Article

References (18)

1. Anselin, L., Syabri, I., and Kho, Y. (2006) GeoDa: An introduction to spatial data analysis. Geographical Analysis, Vol. 38, 5-22.
2. Broennimann, O., Thuiller, W., Hughes, G. O., Midgley, G. F., Alkemade, J. R. M., and Guisan, A. (2006) Do geographic distribution, niche property and life form explain plants' vulnerability to global change? Global Change Biology, Vol. 12, 1079-1093.
3. Carr, D. B., Olsen, A. R., Pierson, S., and Courbois, J. (1999) Boxplot variations in a spatial context: An Omernik ecoregion and weather Example. Statistical Computing and Graphics Newsletter (American Statistical Association, Alexandria, VA), Vol. 9, No. 2, 4-13.
4. Cleveland, W. S. (1993) Visualizing Data. Summit, NJ: Hobart Press.
5. Cressie, N. A. C. (1993) Statistics for Spatial Data (revised edition). New York, NY: Wiley.
6. Grotch, S. and MacCracken, M. (1991) The use of general circulation models to predict regional climate change. Journal of Climate, Vol. 4, 286-303.
7. Haining, R. P. (2003) Spatial Data Analysis: Theory and Practice. Cambridge, UK: Cambridge University Press.
8. Peterson, T. C. and Vose, R. S. (1997) An overview of the Global Historical Climatology Network temperature database. Bulletin of the American Meteorological Society, Vol. 78, 2837-2849.
9. Rawlins, M. A. and Willmott, C. J. (2003) Winter air temperature change over the terrestrial Arctic, 1961-1990. Arctic, Antarctic and Alpine Research, Vol. 35, No. 4, 530-537.
10. Robeson, S. M. (2002) Increasing growing-season length in Illinois during the 20th century. Climatic Change, Vol. 52, 219-238.
11. Robeson, S. M. (2004) Trends in time-varying percentiles of daily minimum and maximum temperature over North America. Geophysical Research Letters, Vol. 31, L04203, doi:10.1029/2003GL019019.
12. Sahr, K., White, D., and Kimerling, A. J. (2003) Geodesic discrete global grid systems. Cartography and Geographic Information Science, Vol. 30, 121-134.
13. Tukey, J. W. (1977) Exploratory Data Analysis. Reading, MA: Addison-Wesley.
14. White, D., Kimerling, A. J., and Overton, W. S. (1992) Cartographic and geometric components of a global sampling design for environmental monitoring. Cartography and Geographic Information Systems, Vol. 19, No. 1, 5-22.
15. Wilks, D. S. (2006) Statistical Methods in the Atmospheric Sciences (2nd Edition). New York, NY. Academic Press.
16. Willmott, C. J. and Matsuura, K. (1995) Smart interpolation of annually averaged air temperature in the United States. Journal of Applied Meteorology, Vol. 34, 2577-2586.
17. Willmott, C. J., Rowe, C. M., and Philpot, W. D. (1985) Small-scale climate maps: A sensitivity analysis of some common assumptions associated with grid-point interpolation and contouring. American Cartographer, Vol. 12, 5-16.
18. Wise, S., Haining, R., and Ma, J. (2001) Providing spatial statistical data analysis functionality for the GIS user: The SAGE project. International Journal of Geographical Information Science, Vol. 15, No. 3, 239-254.