Geography Reference
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Kulldorff, M., Athas, W. F., Feurer, E. J., Miller, B. A., & Key, C. R. (1998). Evaluating cluster
alarms: A space-time scan statistic and brain cancer in Los Alamos, New Mexico. American
Journal of Public Health, 88 (9), 1377-1380.
Kulldorff, M., Heffernan, R., Hartman, J., Assunção, R., & Mostashari, F. (2005). A space-time
permutation scan statistic for disease outbreak detection. PLoS Medicine, 2 (3), e59.
Kulldorff, M., Huang, L., & Konty, K. (2009). A scan statistic for continuous data based on the
normal probability model. International Journal of Health Geographics, 8 (1), 58.
Liang, S. (2009). Bayesian hierarchical modeling of geostatistical and spatial point process data .
PhD thesis, University of Minnesota.
Liang, S., Banerjee, S., & Carlin, B. P. (2009). Bayesian wombling for spatial point processes.
Biometrics, 65 (4), 1243-1253.
Lu, H., & Carlin, B. P. (2005). Bayesian areal wombling for geographical boundary analysis.
Geographical Analysis, 37 (3), 265-285.
Mohan, P., Shekhar, S., Shine, J. A., Rogers, J. P., Jiang, Z., & Wayant, N. (2011). A neighborhood
graph based approach to regional co-location pattern discovery: A summary of results. In
Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic
information systems (pp. 122-132). New York, NY, USA: ACM.
NASA (2011). Landsat imagery archive . Washington DC, 1984-2011. http://landsat.gsfc.nasa.gov/
images/archive/c0042.html . Accessed 25 Jan 2013.
Neill, D. B., & Moore, A. W. (2004). Rapid detection of significant spatial clusters. In Proceedings
of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
(pp. 256-265). New York, NY, USA: ACM.
Neill, D. B., Moore, A. W., Sabhnani, M., & Daniel, K. (2005). Detection of emerging space-time
clusters. In Proceedings of the eleventh ACM SIGKDD international conference on knowledge
discovery in data mining (pp. 218-227).
Neill, D. B., Moore, A. W., & Cooper, G. (2006). A Bayesian spatial scan statistic. Advances in
Neural Information Processing Systems, 18 , 1003.
Page, E. S. (1954). Continuous inspection schemes. Biometrika, 41 (1/2), 100-115.
Radke, R. J., Andra, S., Al-Kofahi, O., & Roysam, B. (2005). Image change detection algorithms:
A systematic survey. IEEE Transactions on Image Processing, 14 (3), 294-307.
Rosin, P. (1998). Thresholding for change detection. In Proceedings of sixth international
conference on computer vision (pp. 274-279). Washington, DC: IEEE.
Rosin, P. L., & Ioannidis, E. (2003). Evaluation of global image thresholding for change detection.
Pattern Recognition Letters, 24 (14), 2345-2356.
Shaban, S. A. (1980). Change point problem and two-phase regression: An annotated bibliography.
International Statistical Review, 48 (1), 83-93.
Shekhar, S., & Chawla, S. (2003). Spatial databases: A tour . Upper Saddle River: Prentice Hall.
Shekhar, S., Lu, C. T., & Zhang, P. (2003). A unified approach to detecting spatial outliers.
GeoInformatica, 7 (2), 139-166.
Singh, A. (1989). Review article digital change detection techniques using remotely-sensed data.
International Journal of Remote Sensing, 10 (6), 989-1003.
Thoma, R., & Bierling, M. (1989). Motion compensating interpolation considering covered and
uncovered background. Signal Processing: Image Communication, 1 (2), 191-212.
Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic
Geography, 46 , 234-240.
Tucker, C. J., Pinzon, J. E., & Brown, M. E. (2004). Global inventory modeling and mapping
studies (pp. 1981-2006). College Park: Global Land Cover Facility, University of Maryland.
Verbesselt, J., Hyndman, R., Zeileis, A., & Culvenor, D. (2010). Phenological change detection
while accounting for abrupt and gradual trends in satellite image time series. Remote Sensing
of Environment, 114 (12), 2970-2980.
Wikipedia (2012-D). Derivative. http://en.wikipedia.org/wiki/Derivative . Accessed 6 Sept 2012.
Wikipedia (2012-M). Mcmansion. http://en.wikipedia.org/wiki/McMansion . Accessed 6 Sept
2012.
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