FNR/STAT 598, Applied Spatial Statistics by Hao Zhang
References for Spatial Point Patterns, April 3, 2012

Abstracts of the following papers can be found at http://www.stat.purdue.edu/~zhanghao/ASS/SPP.html.
(Exported from WebNote Group SPP) 

Baddeley,A. et al. (2005) Residual analysis for spatial point processes. Journal of the Royal Statistical Society Series B-Statistical Methodology, 67, 617–651.
Baddeley,A. and Turner,R. (2000) Practical maximum pseudolikelihood for spatial point patterns. Australian & New Zealand Journal of Statistics, 42, 283–315.
Baddeley,A. and Turner,R. (2005) spatstat: An R package for analyzing spatial point patterns. Journal of Statistical Software, 12, 1–42.
Baddeley,A.J. et al. (2000) Non- and semi-parametric estimation of interaction in inhomogeneous point patterns. Statistica Neerlandica, 54, 329–350.
Barot,S. et al. (1999) Demography of a savanna palm tree: Predictions from comprehensive spatial pattern analyses. Ecology, 80, 1987–2005.
Barr,C.D. and Schoenberg,F.P. (2010) On the Voronoi estimator for the intensity of an inhomogeneous planar Poisson process. Biometrika, 97, 977–984.
Bieng,M.A.N. et al. (2011) Point process models for mixed sessile forest stands. Annals of Forest Science, 68, 267–274.
Brix,A. and Moller,J. (2001) Space-time multi type log Gaussian Cox processes with a view to modelling weeds. Scandinavian Journal of Statistics, 28, 471–488.
Chakraborty,A. et al. (2011) Point pattern modelling for degraded presence-only data over large regions. Journal of the Royal Statistical Society Series C-Applied Statistics, 60, 757–776.
Dasgupta,A. and Raftery,A.E. (1998) Detecting features in spatial point processes with clutter via model-based clustering. Journal of the American Statistical Association, 93, 294–302.
Day,T. (2000) Sexual selection and the evolution of costly female preferences: Spatial effects. Evolution, 54, 715–730.
Dayton,P.K. et al. (1992) TEMPORAL AND SPATIAL PATTERNS OF DISTURBANCE AND RECOVERY IN A KELP FOREST COMMUNITY. Ecological Monographs, 62, 421–445.
Diggle,P.J. et al. (1991) ANALYSIS OF VARIANCE FOR REPLICATED SPATIAL POINT PATTERNS IN CLINICAL NEUROANATOMY. Journal of the American Statistical Association, 86, 618–625.
Diggle,P.J. and Milne,R.K. (1983) BIVARIATE COX PROCESSES - SOME MODELS FOR BIVARIATE SPATIAL POINT PATTERNS. Journal of the Royal Statistical Society Series B-Methodological, 45, 11–21.
Dixon,P. (1994) TESTING SPATIAL SEGREGATION USING A NEAREST-NEIGHBOR CONTINGENCY TABLE. Ecology, 75, 1940–1948.
Donoho,D.L. and Johnstone,I.M. (1994) IDEAL SPATIAL ADAPTATION BY WAVELET SHRINKAGE. Biometrika, 81, 425–455.
Durrett,R. and Levin,S.A. (1994) STOCHASTIC SPATIAL MODELS - A USERS GUIDE TO ECOLOGICAL APPLICATIONS. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences, 343, 329–350.
Frelich,L.E. and Reich,P.B. (1995) SPATIAL PATTERNS AND SUCCESSION IN A MINNESOTA SOUTHERN-BOREAL FOREST. Ecological Monographs, 65, 325–346.
Genton,M.G. et al. (2006) Spatio-temporal analysis of wildfire ignitions in the St Johns River Water Management District, Florida. International Journal of Wildland Fire, 15, 87–97.
Guan,Y.T. (2011) Bias-Corrected Variance Estimation and Hypothesis Testing for Spatial Point and Marked Point Processes Using Subsampling. Biometrics, 67, 926–936.
Guan,Y.T. and Shen,Y. (2010) A weighted estimating equation approach for inhomogeneous spatial point processes. Biometrika, 97, 867–880.
Heikkinen,J. and Arjas,E. (1998) Non-parametric Bayesian estimation of a spatial Poisson intensity. Scandinavian Journal of Statistics, 25, 435–450.
Irwin,E.G. and Geoghegan,J. (2001) Theory, data, methods: developing spatially explicit economic models of land use change. Agriculture Ecosystems & Environment, 85, 7–23.
Kallache,M. et al. (2011) Extreme Value Analysis Considering Trends: Application to Discharge Data of the Danube River Basin. In Extremis: Disruptive Events and Trends in Climate and Hydrology, 167–183.
Keitt,T.H. et al. (2002) Accounting for spatial pattern when modeling organism-environment interactions. Ecography, 25, 616–625.
Van Lieshout,M.N.M. and Baddeley,A.J. (1999) Indices of dependence between types in multivariate point patterns. Scandinavian Journal of Statistics, 26, 511–532.
Loh,J.M. (2011) K-scan for anomaly detection in disease surveillance. Environmetrics, 22, 179–191.
Loosmore,N.B. and Ford,E.D. (2006) Statistical inference using the G or K point pattern spatial statistics. Ecology, 87, 1925–1931.
Madrid,A.E. et al. (2012) Spatial threshold exceedance analysis through marked point processes. Environmetrics, 23, 108–118.
Moeur,M. (1993) CHARACTERIZING SPATIAL PATTERNS OF TREES USING STEM-MAPPED DATA. Forest Science, 39, 756–775.
Moller,J. et al. (1998) Log Gaussian Cox processes. Scandinavian Journal of Statistics, 25, 451–482.
Moyeed,R.A. and Baddeley,A.J. (1991) STOCHASTIC-APPROXIMATION OF THE MLE FOR A SPATIAL POINT PATTERN. Scandinavian Journal of Statistics, 18, 39–50.
Nichols,K. et al. (2011) The application of prototype point processes for the summary and description of California wildfires. Journal of Time Series Analysis, 32, 420–429.
Ogata,Y. and Katsura,K. (1991) MAXIMUM-LIKELIHOOD-ESTIMATES OF THE FRACTAL DIMENSION FOR RANDOM SPATIAL PATTERNS. Biometrika, 78, 463–474.
Pati,D. et al. (2011) Bayesian geostatistical modelling with informative sampling locations. Biometrika, 98, 35–48.
Perry,G.L.W. et al. (2006) A comparison of methods for the statistical analysis of spatial point patterns in plant ecology. Plant Ecology, 187, 59–82.
Plotkin,J.B. et al. (2002) Cluster analysis of spatial patterns in Malaysian tree species. American Naturalist, 160, 629–644.
Pommerening,A. et al. (2011) Model-based analysis of the influence of ecological processes on forest point pattern formation-A case study. Ecological Modelling, 222, 666–678.
Pourtaheri,R. and Vahidi-Asl,M.Q. (2011) Point pattern analysis of regional city distributions. Quality & Quantity, 45, 1473–1481.
Rathbun,S.L. and Cressie,N. (1994a) A SPACE-TIME SURVIVAL POINT PROCESS FOR A LONGLEAF PINE FOREST IN SOUTHERN GEORGIA. Journal of the American Statistical Association, 89, 1164–1174.
Rathbun,S.L. and Cressie,N. (1994b) ASYMPTOTIC PROPERTIES OF ESTIMATORS FOR THE PARAMETERS OF SPATIAL INHOMOGENEOUS POISSON POINT-PROCESSES. Advances in Applied Probability, 26, 122–154.
Sonesson,C. and Bock,D. (2003) A review and discussion of prospective statistical surveillance in public health. Journal of the Royal Statistical Society Series a-Statistics in Society, 166, 5–21.
Stoyan,D. and Penttinen,A. (2000) Recent applications of point process methods in forestry statistics. Statistical Science, 15, 61–78.
Vaillant,J. et al. (2011) A spatio-temporal analysis of the spread of sugarcane yellow leaf virus. Journal of Time Series Analysis, 32, 396–406.
Waller,L.A. et al. (2011) Second-order spatial analysis of epidermal nerve fibers. Statistics in Medicine, 30, 2827–2841.
Western,A.W. et al. (1999) Observed spatial organization of soil moisture and its relation to terrain indices. Water Resources Research, 35, 797–810.
Xu,H.Y. and Schoenberg,F.P. (2011) POINT PROCESS MODELING OF WILDFIRE HAZARD IN LOS ANGELES COUNTY, CALIFORNIA. Annals of Applied Statistics, 5, 684–704.
Yue,Y.R. and Loh,J.M. (2011) Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes. Biometrics, 67, 937–946.