Geography Reference
In-Depth Information
Martin, D. (1989) Mapping population data from zone
centroid locations. Transactions of the Institute of British
Geographers , 14, 90-97.
Martin, D. (1996) Geographic Information Systems:
Socioeconomic Applications . 2nd edn. London: Routledge.
Martin, D., Dorling, D. and Mitchell, R. (2002) Linking cen-
suses through time: problems and solutions. Area , 34, 82-91.
Mather, P. M. (2004) Computer Processing of Remotely-
Sensed Images: An Introduction . 3rd edn. Chichester:
John Wiley & Sons Ltd.
Matheron, G. (1971) h e h eory of Regionalised Variables
and its Applications . Fontainebleau: Centre de Morphologie
Mathématique de Fontainebleau.
McDonnell, R. and Kemp, K. (1995) International GIS
Dictionary . Hoboken, NJ: John Wiley & Sons Ltd.
McGarigal, K. and Marks, B. J. (1995) FRAGSTATS:
Spatial Pattern Analysis Program for Quantifying Land-
scape Structure . General Technical Report PNW-GTR-351.
Portland, OR: US Department of Agriculture, Forest
Service, Pacii c Northwest Research Station.
Miller, H. J. (2008) Geographic data mining and knowl-
edge discovery. In Wilson, J. P. and Fotheringham, A. S. (eds),
h e Handbook of Geographic Information Science . Maldon,
MA: Blackwell Publishing, pp. 352-366.
Mitás, L. and Mitásová, H. (1999) Spatial interpolation.
In Longley, P. A., Goodchild, M. F., Maguire, D. J., and
Rhind, D. W. (eds), Geographical Information Systems.
Volume I: Principles and Technical Issues . 2nd edn. New York:
John Wiley & Sons Ltd, pp. 481-492.
Mitásová, H., Hoi erka, J., Zlocha, M., and Iverson, L. R.
(1996) Modelling topographic potential for erosion and
deposition using GIS. International Journal of Geographical
Information Systems , 10, 629-641.
Moran, P. A. P. (1950) Notes on continuous stochastic
phenomena. Biometrika , 37, 17-23.
Mulla, D. J. (1988) Using geostatistics and spectral analysis
to study spatial patterns in the topography of southeastern
Washington state, U.S.A. Earth Surface Processes and
Landforms , 13, 389-405.
Michigan, USA, 1964-1994. Preventive Veterinary Medicine ,
47, 187-204.
Openshaw, S. (1984) h e Modii able Areal Unit Problem .
Concepts and Techniques in Modern Geography 38.
Norwich: GeoBooks.
Openshaw, S. and Taylor, P. J. (1979) A million or so cor-
relation coei cients: three experiments on the modii able
areal unit problem. In Wrigley, N. (ed.), Statistical Applic-
ations in the Spatial Sciences . London: Pion, pp. 127-144.
Openshaw, S., Charlton, M. E., Wymer, C., and Crat ,
A. W. (1993) A mark I Geographical Analysis Machine for
the automated analysis of point data sets. International
Journal of Geographical Information Systems , 1, 359-377.
O'Sullivan, D. and Unwin, D. J. (2002) Geographic
Information Analysis . Hoboken, NJ: John Wiley & Sons Ltd.
P
Pebesma E. J. (2004) Multivariable geostatistics in S: the
Gstat package. Computers and Geosciences , 30, 683-691.
Pebesma E. J. and Wesseling, C. G. (1998) Gstat, a pro-
gram for geostatistical modelling, prediction and simula-
tion. Computers and Geosciences , 24, 17-31.
Peuker, T. K., Fowler, R. J., Little, J. J., and Mark. D. M.
(1978) h e triangulated irregular network. In American
Society of Photogrammetry (ed.), Proceedings of the Digital
Terrain Models (DTM) Symposium. St. Louis, Missouri,
May 9-11, 1978 . Falls Church, VA: American Society of
Photogrammetry, pp. 516-540.
Pietro, L. S., O'Neal, M. A., and Puleo, J. A. (2008)
Developing terrestrial-LiDAR-based digital elevation
models for monitoring beach nourishment performance.
Journal of Coastal Research , 24, 1555-1564.
Plane, D. A. and Rogerson, P. A. (1994) h e Geographical
Analysis of Population: With Applications to Business and
Planning . Hoboken, NJ: John Wiley & Sons Ltd.
R
N
Rogerson, P. A. (2006) Statistical Methods for Geography.
A Student's Guide . 2nd edn. London: SAGE Publications.
Rowntree, D. (2000) Statistics without Tears: An
Introduction for Non-Mathematicians . London: Penguin.
Neteler, M. and Mitásová, H. (2007) Open Source GIS:
A GRASS GIS Approach . 3rd edn. New York: Springer.
O
S
O'Brien, D. J., Kaneene, J. B., Getis, A., Lloyd, J. W.,
Swanson, G. M., and Leader, R. W. (2000) Spatial and tem-
poral comparison of selected cancers in dogs and humans,
Schabenberger, O. and Gotway, C. A. (2005) Statistical
Methods for Spatial Data Analysis . Boca Raton, FL:
Chapman and Hall/CRC Press.
Search WWH ::




Custom Search