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Statistical analysis of spatial point patterns

1986 Environmental Software  
CHAPTER 2: THE USE OF DISTANCE METHODS IN THE DETECTION OF NONRANDOMNESS 2.1 Introduction At the preliminary stage of analysis of a spatial point pattern it may be inappropriate to invest the time and  ...  The resulting pattern of points can be considered as an outcome of a spatial point process, that is as a realisation of a stochastic process of point events in two or more dimensions.  ...  Methods of analysing spatial patterns may seek to describe some essential feature of the pattern by means of a convenient summary statistic such as the estimated intensity or they may attempt to fit models  ... 
doi:10.1016/0266-9838(86)90012-2 fatcat:r5ithppxdvgahm4rwuholeucai

Notation Index [chapter]

2008 Statistical Analysis and Modelling of Spatial Point Patterns  
Statistical analysis and modelling of spatial point patterns / Janine Illian [et al]. p. cm. -(Statistics in practice) Includes bibliographical references and index.  ...  Hahn on the statistics of non-stationary point processes. V. J. Martínez supported the authors in writing the text in Section 1.3.4. A. J.  ...  We would also like to thank the students of the point process seminar at the University of Jyväskylä for helpful discussions. T.  ... 
doi:10.1002/9780470725160.indsp1 fatcat:ekrsyvw3xzdorhnojn4364q7yu

Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates

Mari Myllymäki, Aila Särkkä, Aki Vehtari
2014 Spatial Statistics  
Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates. Spatial Statistics. Volume 8.  ...  Abstract In this paper we propose a method on how to incorporate the effect of nonspatial covariates into the spatial second-order analysis of replicated point patterns.  ...  Furthermore, Aila Särkkä would like to thank the Department of Statistics at the University of Washington for its hospitality during the time this paper was completed.  ... 
doi:10.1016/j.spasta.2013.07.006 fatcat:gvg7ut7nb5b7vgtb37fnwyiqpy

A Statistical analysis of spatial point patterns A case study

L.G. Barendregt, M.J. Rottschäfer
1991 Statistica neerlandica (Print)  
Laboratory), for our statistical analysis.  ...  For an understanding of the significance of our statistical analysis it is of help to know the following of the biological background.  ... 
doi:10.1111/j.1467-9574.1991.tb01315.x fatcat:5d6hqy5w45bvfot5qlsywyz7pi

Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes

Jesper Møller, Håkon Toftaker
2014 Scandinavian Journal of Statistics  
Our methodology is illustrated on real and synthetic datasets of spatial point patterns.  ...  We consider spatial point processes with a pair correlation function g(u) which depends only on the lag vector u between a pair of points.  ...  Acknowledgment Supported by the Danish Council for Independent Research -Natural Sciences, grant 09-072331, "Point process modelling and statistical inference", and by the Centre for Stochastic Geometry  ... 
doi:10.1111/sjos.12041 fatcat:sylr4cunfrhijexdj5sphzc2gy

Analysis of Minnesota colon and rectum cancer point patterns with spatial and nonspatial covariate information

Shengde Liang, Bradley P. Carlin, Alan E. Gelfand
2009 Annals of Applied Statistics  
Our model extends marked spatial point pattern analysis in the context of a log Gaussian Cox process to accommodate spatially referenced covariates (local poverty rate and location within the metro area  ...  The data consist of two marked point patterns, meaning that any statistical model must account for randomness in the observed locations, and expected positive association between the two cancer patterns  ...  Statistical modeling of spatial point patterns In spatial disease mapping settings, the primary goals are typically to investigate the connections between the disease and (possibly geographically-indexed  ... 
doi:10.1214/09-aoas240 pmid:20414368 pmcid:PMC2857924 fatcat:f726z2sp2jhkleqf4n4i2ncdam

Statistical analysis of spatial point patterns on deep seismic reflection data: a preliminary test

K. Vasudevan, S. Eckel, F. Fleischer, V. Schmidt, F.A. Cook
2007 Geophysical Journal International  
Spatial point patterns generated from bitmaps of images of processed reflection seismic profiles are analyzed to quantify the reflectivity patterns.  ...  As a result, it appears that future developments in point pattern analysis may provide a new tool for analysing spatial variations in reflection data.  ...  Stefanie Eckel is supported by a grant of the DFG-Graduiertenkolleg 1100.  ... 
doi:10.1111/j.1365-246x.2007.03572.x fatcat:6foq3ffv6bd2nef7krjqcam4f4

A NEW GRAPHICAL APPROACH TO CLASSIFY SPATIAL POINT PATTERNS BASED ON HIERARCHICAL CLUSTER ANALYSIS

Tsutomu Takai, Yoshiyasu Tamura, Hitoshi Motoyama
2017 Journal of the Japanese Society of Computational Statistics  
In this paper, a novel graphical method to classify spatial point patterns is proposed. This method is called the AG-curve.  ...  It is constructed using the results of hierarchical cluster analysis, and it has many variations corresponding to the various agglomeration methods used in such analysis.  ...  Acknowledgement The authors would like to thank the editor, an associate editor and two anonymous referees for their helpful suggestions that improved the quality of the original manuscript.  ... 
doi:10.5183/jjscs.1611001_229 fatcat:xij763oyefffzmvkde2cmpqwt4

FOREST SPECIES CLASSIFICATION BASED ON STATISTICAL POINT PATTERN ANALYSIS USING AIRBORNE LIDAR DATA

J. Li, B. Hu, T. L. Noland
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The purpose of adopting the point pattern methods is to develop new features to effectively characterize the pattern of internal foliage distribution of forest stands or individual trees.  ...  Commission VI, WG VI/4 ABSTRACT: The paper investigated the effectiveness of point pattern methods in the application of forest species classification using airborne LiDAR data.  ...  ACKNOWLEDGEMENTS The authors would like to thank Natural Science and Engineering Research Council of Canada (NSERC), Canadian Space Agency (CSA), and GeoDigital International Inc.  ... 
doi:10.5194/isprsarchives-xxxviii-5-w12-271-2011 fatcat:o6gewo73kvcbrdn4nichknr73a

Statistical analysis of spatial point patterns - applications to economical, biomedical and ecological data [article]

Stefanie Eckel, Universität Ulm, Universität Ulm
2016
The aim of this thesis is to investigate, implement and apply different techniques of statistical point pattern analysis.  ...  In the last years, several projects at the Institute of Stochastics at Ulm University dealt with point pattern analysis coming from completely different fields of research, e.g.  ...  Motivation The aim of this thesis is to investigate, implement and apply different techniques of statistical point pattern analysis.  ... 
doi:10.18725/oparu-1081 fatcat:dm4kv63pgjh6baswrvcenfyoly

Mekansal istatistiklerin bir uygulaması: Simule edilmiş fay düzlemine ilişkin jeodezik noktaların mekansal analizi

Özlem TÜRKŞEN
2019 Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi  
It is seen from the application results that spatial autocorrelation should be taken into consideration during the spatial analysis of geodetic point data to understand if the surface displacements on  ...  In this study, simulated fault plane geodetic points are analyzed by using spatial statistics.  ...  It is seen from the spatial statistical analysis results that the spatial descriptive statistics and spatial pattern analysis consider only location information of geodetic points.  ... 
doi:10.25092/baunfbed.522967 fatcat:nghjuhiqxjhfldcymgp726zssa

Page 331 of Geographical Analysis Vol. 36, Issue 4 [page]

2004 Geographical Analysis  
Journal of Ge graphical Systems 1, 219-36 Cressie, N.A.( 1993) Statistics for Spatial Data. New York: Wiley Diggle, P.J. (2003) Statistical Analysis of Spatial Point Patterns, 2nd ed.  ...  Cox (1981) On sparse sampling methods and tests of independence for multivariat spatial point patterns Bulletin of the Inte nasil nal Statistical Institute 49, 213-229 Getis, A and J} K.  ... 

An area-based nonparametric spatial point pattern test: The test, its applications, and the future

Martin A Andresen
2016 Methodological Innovations  
The analysis of spatial point patterns is a critical component of the geographic information analysis literature.  ...  In this article, a recently developed spatial point pattern test is discussed that compares the similarity of two different data sets.  ...  Introduction The analysis of spatial patterns uses one of the three fundamental forms of spatial data: points, lines, or areas.  ... 
doi:10.1177/2059799116630659 fatcat:f6fw4ywsgfbxbeejvxeeze4r3a

Page 293 of Geographical Analysis Vol. 35, Issue 3 [page]

2003 Geographical Analysis  
there is a close relationship between traditional simple point pattern spatial statistics and the newly introduced multi-location pattern analysis.  ...  The stable and non-random corre sponde nce of points from distinct sets is a key property that differentiates spatial correspondence analysis of point patterns from the traditional spatial pattern analysis  ... 

Spatiotemporal Data Mining: A Computational Perspective

Shashi Shekhar, Zhe Jiang, Reem Ali, Emre Eftelioglu, Xun Tang, Venkata Gunturi, Xun Zhou
2015 ISPRS International Journal of Geo-Information  
Compared with other surveys in the literature, this paper emphasizes the statistical foundations of spatiotemporal data mining and provides comprehensive coverage of computational approaches for various  ...  The complexity of spatiotemporal data and intrinsic relationships limits the usefulness of conventional data science techniques for extracting spatiotemporal patterns.  ...  HM1582-08-1-0017 and HM0210-13-1-0005, and the University of Minnesota under OVPR U-Spatial. We would like to thank Kim Koffolt for the helpful comments in improving the readability of the paper.  ... 
doi:10.3390/ijgi4042306 fatcat:hwnwbw7wm5hx5c4ncrvv533qju
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