Relevant bibliographies by topics / Point pattern analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Point pattern analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Point pattern analysis"

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Gatrell, A. C. "Point pattern analysis." Applied Geography 9, no. 2 (April 1989): 140. http://dx.doi.org/10.1016/0143-6228(89)90059-3.

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Modi, Bharat P., and Dr Jayesh M. Patel. "User Behavior Pattern Analysis Mobile User’s Destination Point and their Service Utilization." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 83–85. http://dx.doi.org/10.15373/22778179/jan2014/28.

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Robeson, Scott M., Ao Li, and Chunfeng Huang. "Point-pattern analysis on the sphere." Spatial Statistics 10 (November 2014): 76–86. http://dx.doi.org/10.1016/j.spasta.2014.10.001.

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Zimeras, Stelios. "Exploratory Point Pattern Analysis for Modeling Biological Data." International Journal of Systems Biology and Biomedical Technologies 2, no. 1 (January 2013): 1–13. http://dx.doi.org/10.4018/ijsbbt.2013010101.

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Data in the form of sets of points, irregular distributed in a region of space could be identified in varies biological applications for examples the cell nuclei in a microscope section of tissue. These kinds of data sets are defined as spatial point patterns and the presentation of the positions in the space are defined as points. The spatial pattern generated by a biological process, can be affected by the physical scale on which the process is observed. With these spatial maps, the biologists will usually want a detailed description of the observed patterns. One way to achieve this is by forming a parametric stochastic model and fitting it to the data. The estimated values of the parameters could be used to compare similar data sets providing statistical measures for fitting models. Also a fitted model can provide an explanation of the biological processes. Model fitting especially for large data sets is difficult. For that reason, statistical methods can apply with main purpose to formulate a hypothesis for the implementation of biological process. Spatial statistics could be implemented using advance statistical techniques that explicitly analyses and simulates point structures data sets. Typically spatial point patterns are data that explain the location of point events. The author’s interest is the investigation of the significance of these patterns. In this work, an investigation of biological spatial data is analyzed, using advance statistical modeling techniques like kriging.
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ARAÚJO, Edmary Silveira Barreto, João Domingos SCALON, and Lurimar Smera BATISTA. "EXPLORATORY SPECTRAL ANALYSIS IN THREE-DIMENSIONAL SPATIAL POINT PATTERNS." REVISTA BRASILEIRA DE BIOMETRIA 39, no. 1 (March 31, 2021): 177–93. http://dx.doi.org/10.28951/rbb.v39i1.524.

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A spatial point pattern is a collection of points irregularly located within a bounded area (2D) or space (3D) that have been generated by some form of stochastic mechanism. Examples of point patterns include locations of trees in a forest, of cases of a disease in a region, or of particles in a microscopic section of a composite material. Spatial Point pattern analysis is used mostly to determine the absence (completely spatial randomness) or presence (regularity and clustering) of spatial dependence structure of the locations. Methods based on the space domain are widely used for this purpose, while methods conducted in the frequency domain (spectral analysis) are still unknown to most researchers. Spectral analysis is a powerful tool to investigate spatial point patterns, since it does not assume any structural characteristics of the data (ex. isotropy), and uses only the autocovariance function, and its Fourier transform. There are some methods based on the spectral frameworks for analyzing 2D spatial point patterns. There is no such methods available for the 3D situation and, therefore, the aim of this work is to develop new methods based on spectral framework for the analysis of three-dimensional point patterns. The emphasis is on relating periodogram structure to the type of stochastic process which could have generated a 3D observed pattern. The results show that the methods based on spectral analysis developed in this work are able to identify patterns of three typical three-dimensional point processes, and can be used, concurrently, with analyzes in the space domain for a better characterization of spatial point patterns.
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Pourtaheri, Reza, and Mohammad Q. Vahidi-Asl. "Point pattern analysis of regional city distributions." Quality & Quantity 45, no. 6 (July 29, 2011): 1473–81. http://dx.doi.org/10.1007/s11135-011-9546-6.

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Norton-Wayne, L. "Pattern analysis for point-of-sale automation." Pattern Recognition Letters 6, no. 2 (July 1987): 139–43. http://dx.doi.org/10.1016/0167-8655(87)90094-8.

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Kosfeld, Reinhold, Hans-Friedrich Eckey, and Jørgen Lauridsen. "Spatial point pattern analysis and industry concentration." Annals of Regional Science 47, no. 2 (April 30, 2010): 311–28. http://dx.doi.org/10.1007/s00168-010-0385-5.

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Tanaka, Hajime, Takafumi Hayashi, and Toshio Nishi. "Digital image analysis of droplet patterns in polymer systems: Point pattern." Journal of Applied Physics 65, no. 12 (June 15, 1989): 4480–95. http://dx.doi.org/10.1063/1.343266.

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Carlsson, Gunnar. "Topological pattern recognition for point cloud data." Acta Numerica 23 (May 2014): 289–368. http://dx.doi.org/10.1017/s0962492914000051.

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In this paper we discuss the adaptation of the methods of homology from algebraic topology to the problem of pattern recognition in point cloud data sets. The method is referred to aspersistent homology, and has numerous applications to scientific problems. We discuss the definition and computation of homology in the standard setting of simplicial complexes and topological spaces, then show how one can obtain useful signatures, called barcodes, from finite metric spaces, thought of as sampled from a continuous object. We present several different cases where persistent homology is used, to illustrate the different ways in which the method can be applied.
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Dissertations / Theses on the topic "Point pattern analysis"

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Barr, Christopher David. "Applications of Voronoi tessellations in point pattern analysis." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619485521&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Umande, Philip Pembe. "Spatial point pattern analysis with application to confocal microscopy data." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/8569.

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Wong, Ka Yiu. "Model-free tests for isotropy, equal distribution and random superposition in spatial point pattern analysis." HKBU Institutional Repository, 2015. https://repository.hkbu.edu.hk/etd_oa/202.

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This thesis introduces three new model-free tests for isotropy, equal distribution and random superposition in non-rectangular windows respectively. For isotropy, a bootstrap-type test is proposed. The corresponding test statistic assesses the discrepancy between the uniform distribution and the empirical normalised reduced second-order moment measure of a sector of fixed radius with increasing central angle. The null distribution of the discrepancy is then estimated by stochastic reconstruction, which generates bootstrap-type samples of point patterns that resemble the spatial structure of the given pattern. The new test is applicable for small sample sizes and is shown to have more robust powers to different choices of user-chosen parameter when compared with the asymptotic chi-squared test by Guan et al. (2006) in our simulation. For equal distribution, a model-free asymptotic test is introduced. The proposed test statistic compares the discrepancy between the empirical second-order product densities of the observed point patterns at some pre-chosen lag vectors. Under certain mild moment conditions and a weak dependence assumption, the limiting null distribution of the test statistic is the chi-squared distribution. Simulation results show that the new test is more powerful than the permutation test by Hahn (2012) for comparing point patterns with similar structures but different distributions. The new test for random superposition is a modification of the toroidal shift test by Lotwick and Silverman (1982). The idea is to extrapolate the pattern observed in a non-rectangular window to a larger rectangular region by the stochastic reconstruction so that the toroidal shift test can be applied. Simulation results show that the powers of the test applied to patterns with extrapolated points are remarkably higher than those of the test applied to the largest inscribed rectangular windows, with only slightly increased type I error rates. Real data sets are used to illustrate the advantages of the tests developed in this thesis over the existing tests in the literature.
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Cromley, Gordon A. "Destroying the Jungle Republic: Counterinsurgency Theory and the Environment in South Vietnam (1967-1969)." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564697803934883.

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Barber, Michael R. "Effects of Hydraulic Dredging and Vessel Operation on Atlantic Sturgeon Behavior in a Large Coastal River." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4792.

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The tidal James River, a focus of VCU's Atlantic Sturgeon program, supports both commercial shipping and hydraulic dredging. These anthropogenic threats present documented but preventable sources of mortality to the endangered species. Using three separate VEMCO Positioning System (VPS) receiver arrays, spatial data of previously-tagged fish were collected. ArcGIS and Programita software were used to analyze fish spatial distributions in the presence and absence of potential threats, using additional data including automatic identification system (AIS) vessel locations, vessel passages compiled using camera footage, and dredge records provided by the US Army Corps of Engineers. The data showed a change in distribution associated with vessels that varied according to river width but not vessel type. Dredging was associated with differences in spatial distribution, but more clearly for adults than sub-adults. The responses of Atlantic Sturgeon provide information necessary to propose potential threat mitigations, including seasonal restrictions for both vessels and dredging.
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SALVO, F. DI. "VARIAZIONE SPAZIALE DEL RISCHIO RELATIVO DI MORTE PER TUMORE DEL SISTEMA EMOLINFOPOIETICO, IN UN¿AREA PROSSIMA AD UNA RAFFINERIA PETROLIFERA." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/232971.

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Kernel smoothing is a popular approach to estimating relative risk surface from data in the location of cases and controls in geographical epidemiology. To date, the use of a fixed smoothing parameter has dominated in literature, but it can perform poorly with highly heterogeneous population. A more intuitive approach is to utilize a spatially adaptive, variable smoothing parameter where the amount of smoothing depends inversely on the local amount of data. The interpretation of such surfaces is facilitated by plotting of tolerance contours which highlight areas where the risk is sufficiently high to reject the null hypothesis of unit relative risk. This approach has been applied to a epidemiological survey about the risk of death in the area surrounding an Italian petrochemical refinery where 172 deaths and 337 controls has been identified. Maps of the spatial variation of relative risk and tolerance contours have be produced. Only for women and those spending most of their time at home, we found a sub-region of elevated risk highlighted by plotted tolerance contours.
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Zhang, Weimin. "Topics in living cell miultiphoton laser scanning microscopy (MPLSM) image analysis." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4412.

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Multiphoton laser scanning microscopy (MPLSM) is an advanced fluorescence imaging technology which can produce a less noisy microscope image and minimize the damage in living tissue. The MPLSM image in this research is the dehydroergosterol (DHE, a fluorescent sterol which closely mimics those of cholesterol in lipoproteins and membranes) on living cell's plasma membrane area. The objective is to use a statistical image analysis method to describe how cholesterol is distributed on a living cell's membrane. Statistical image analysis methods applied in this research include image segmentation/classification and spatial analysis. In image segmentation analysis, we design a supervised learning method by using smoothing technique with rank statistics. This approach is especially useful in a situation where we have only very limited information of classes we want to segment. We also apply unsupervised leaning methods on the image data. In image data spatial analysis, we explore the spatial correlation of segmented data by a Monte Carlo test. Our research shows that the distributions of DHE exhibit a spatially aggregated pattern. We fit two aggregated point pattern models, an area-interaction process model and a Poisson cluster process model, to the data. For the area interaction process model, we design algorithms for maximum pseudo-likelihood estimator and Monte Carlo maximum likelihood estimator under lattice data setting. For the Poisson Cluster process parameter estimation, the method for implicit statistical model parameter estimate is used. A group of simulation studies shows that the Monte Carlo maximum estimation method produces consistent parameter estimates. The goodness-of-fit tests show that we cannot reject both models. We propose to use the area interaction process model in further research.
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Hesselbarth, Maximilian H. K. [Verfasser], Kerstin [Akademischer Betreuer] Wiegand, Holger [Gutachter] Kreft, and Uta [Gutachter] Berger. "Analysing and modelling spatial patterns to infer the influence of environmental heterogeneity using point pattern analysis, individual-based simulation modelling and landscape metrics / Maximilian H. K. Hesselbarth ; Gutachter: Holger Kreft, Uta Berger ; Betreuer: Kerstin Wiegand." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2020. http://d-nb.info/1210264641/34.

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Ben, Cheikh Bassem. "Morphologie mathématique sur les graphes pour la caractérisation de l’organisation spatiale des structures histologiques dans les images haut-contenu : application au microenvironnement tumoral dans le cancer du sein." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066286/document.

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L'un des problèmes les plus complexes dans l'analyse des images histologiques est l'évaluation de l¿organisation spatiale des structures histologiques dans le tissu. En fait, les sections histologiques peuvent contenir un très grand nombre de cellules de différents types et irrégulièrement réparties dans le tissu, ce qui rend leur contenu spatial indescriptible d'une manière simple. Les méthodes fondées sur la théorie des graphes ont été largement explorées dans cette direction, car elles sont des outils de représentation efficaces ayant la capacité expressive de décrire les caractéristiques spatiales et les relations de voisinage qui sont interprétées visuellement par le pathologiste. On peut distinguer trois familles principales de méthodes des graphes utilisées à cette fin: analyse de structure syntaxique, analyse de réseau et analyse spectrale. Cependant, un autre ensemble distinctif de méthodes basées sur la morphologie mathématique sur les graphes peut être développé et adapté pour ce problème. L'objectif principal de cette thèse est le développement d'un outil capable de fournir une évaluation quantitative des arrangements spatiaux des structures histologiques en utilisant la morphologie mathématique basée sur les graphes
One of the most challenging problems in histological image analysis is the evaluation of the spatial organizations of histological structures in the tissue. In fact, histological sections may contain a very large number of cells of different types and irregularly distributed, which makes their spatial content indescribable in a simple manner. Graph-based methods have been widely explored in this direction, as they are effective representation tools having the expressive ability to describe spatial characteristics and neighborhood relationships that are visually interpreted by the pathologist. We can distinguish three main families of graph-based methods used for this purpose: syntactic structure analysis, network analysis and spectral analysis. However, another distinctive set of methods based on mathematical morphology on graphs can be additionally developed for this issue. The main goal of this dissertation is the development of a framework able to provide quantitative evaluation of the spatial arrangements of histological structures using graph-based mathematical morphology
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Catella, Samantha A. "Investigating herbaceous layer plant community patterns: when does abiotic complexity matter?" Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1559905264222712.

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Books on the topic "Point pattern analysis"

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Boots, B. N. Point pattern analysis. Newbury Park, Calif: Sage Publications, 1988.

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Rowlingson, B. S. SPLANCS: Spatial point pattern analysis code in S-Plus. Lancaster: NorthWest Regional Research Laboratory, 1991.

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Illian, Janine, Antti Penttinen, Helga Stoyan, and Dietrich Stoyan. Statistical Analysis and Modelling of Spatial Point Patterns. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470725160.

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Janine, Illian, ed. Statistical analysis and modelling of spatial point patterns. Chichester, England: John Wiley, 2008.

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Janine, Illian, ed. Statistical analysis and modelling of spatial point patterns. Chichester, England: John Wiley, 2008.

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Scheibman, Joanne. Point of view and grammar: Structural patterns and subjectivity in American English conversation. Amsterdam: Benjamins, 2003.

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Point of view and grammar: Structural patterns of subjectivity in American English conversation. Amsterdam: John Benjamins Pub., 2002.

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Sapunov, Vladimir, Viktor Horol'skiy, Ekaterina Zvereva, and Aleksandr Korochenskiy. Contradictions of media globalization: political economic and socio-cultural aspects. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1096082.

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The textbook analyzes the patterns in the evolution of the media sector of world culture from the point of view of a comprehensive review of modern media. New phenomena in the system (module) of global mass media are characterized, achievements of foreign experience are correlated with Russian reality. The regularities of the evolution of a variety of media phenomena and facts are described, which at first glance represent a kaleidoscope of random, but in fact are an expression of what is characteristic of the world's mass media. An important role in the study is played by the political economic method, which allowed us to clearly characterize the main trends in the development of the modern media system: monopolization, financialization and tightening of media management. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students and postgraduates of journalism faculties in the study of disciplines: "Modern foreign media", "Modern media systems", "Philosophical foundations of Science and modern journalism", "International Relations and Journalism", "Modern communication theories", "Western Communication Studies", "History of Mass media", as well as for graduate students and students, studying economics, political science, cultural studies, sociology, law.
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Cinquegrani, Alessandro, Francesca Pangallo, and Federico Rigamonti. Romance e Shoah Pratiche di narrazione sulla tragedia indicibile. Venice: Fondazione Università Ca’ Foscari, 2021. http://dx.doi.org/10.30687/978-88-6969-492-9.

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Over the last 70 years, Holocaust representations increased significantly as cultural objects distributed on a large scale: fictional books, museum sites, artworks, documentaries, and films are only a few samples of those echoes the Holocaust produced in contemporary Western culture. There are some specific patterns in the way the Holocaust has been represented that, however, contrast with the survivors’ account of the same event: for example, the dichotomy between bad and good characters so essential within Holocaust-based media – especially on television and film - does not really match with the testimony’s experience. While storytelling strategies may help to involve the public by emotionally engaging with the story, the risks of altering the real meaning of the Holocaust are quite high: what we often label as a “story” is actually been an outrageous, documented mass-genocide. Furthermore, as the age gap between the present and the past generation progresses, also the collective awareness of Nazi crimes as a real fact gets compromised. This volume explores selected Holocaust narrations by contextualizing the historical, literary, and social influences those texts had in their unique points of view. Starting with some recent examples of Holocaust exploitation through social media, the first chapter explores the paradigm shift when the Holocaust became a cultural, fictional trend rather than a historical massacre. In the second chapter, the analysis examines postmodern representations of Holocaust and Nazi semantics through relevant examples taken from both American and European literature. The third chapter analyses Europe Central by William T. Vollman, as all the narratological and cultural issues considered in the previous two chapters are well outlined in this articulated novel, where the relationship between reality and its representation after the postmodernist period is largely investigated. In chapter four, an account is given of the connections and differences between the narratological category romance, as understood by Northrop Frye, and Holocaust narration features. In chapter five, those elements are used to consider the work of Italian Holocaust survivor and Jewish writer Primo Levi, as his narration around Auschwitz adopts some fictional tools and still refuses undemanding storytelling mechanisms. The sixth and final chapter examines the relevant novel Les Benviellants by Jonathan Littell, considering its Nazi genocide account through the antagonist’s perspective.
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Handbook Of Spatial Point Pattern Analysis In Ecology. Chapman & Hall, 2012.

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Book chapters on the topic "Point pattern analysis"

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Bivand, Roger S., Edzer Pebesma, and Virgilio Gómez-Rubio. "Spatial Point Pattern Analysis." In Applied Spatial Data Analysis with R, 173–211. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7618-4_7.

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Manninen, Tapio, Risto Rönkkä, and Heikki Huttunen. "Point Pattern Matching for 2-D Point Sets with Regular Structure." In Image Analysis, 156–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21227-7_15.

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Franklin, Janet. "Spatial Point Pattern Analysis of Plants." In Perspectives on Spatial Data Analysis, 113–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-642-01976-0_9.

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Ripley, B. D. "Spatial Point Pattern Analysis in Ecology." In Develoments in Numerical Ecology, 407–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-70880-0_11.

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Gabriel, Edith. "Spatiotemporal Point Pattern Analysis and Modeling." In Encyclopedia of GIS, 2161–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1646.

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Pan, Youngsun, Andy J. Ma, and Yiqi Lin. "AnchorConv: Anchor Convolution for Point Clouds Analysis." In Pattern Recognition and Computer Vision, 167–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88007-1_14.

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Sakpere, Wilson. "3D Reconstruction of Archaeological Pottery from Its Point Cloud." In Pattern Recognition and Image Analysis, 125–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31332-6_11.

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Orrite, Carlos, Elias Herrero, and Mauricio Valencia. "From Features to Attribute Graphs for Point Set Registration." In Pattern Recognition and Image Analysis, 437–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31332-6_38.

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Ferraz, Luis, and Xavier Binefa. "A Scale Invariant Interest Point Detector for Discriminative Blob Detection." In Pattern Recognition and Image Analysis, 233–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02172-5_31.

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Tao, Manli, Chaoyang Zhao, Jinqiao Wang, and Ming Tang. "Global Patch Cross-Attention for Point Cloud Analysis." In Pattern Recognition and Computer Vision, 96–111. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18913-5_8.

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Conference papers on the topic "Point pattern analysis"

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Liu, Yichen. "Point Cloud registration based on iterative closest point." In 2021 International Conference on Computer Vision and Pattern Analysis, edited by Ruimin Hu, Yang Yue, and Siting Chen. SPIE, 2022. http://dx.doi.org/10.1117/12.2626850.

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Weidong Yan, Zheng Tian, Jinhuan Wen, and Lulu Pan. "Point pattern matching based on manifold embedding." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476067.

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Alzahrani, Abdullah A. H., Amnon H. Eden, and Majd Zohri Yafi. "Structural Analysis of the Check Point Pattern." In 2014 IEEE 8th International Symposium on Service Oriented System Engineering (SOSE). IEEE, 2014. http://dx.doi.org/10.1109/sose.2014.56.

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Chen, Haiwei, Shichen Liu, Weikai Chen, Hao Li, and Randall Hill. "Equivariant Point Network for 3D Point Cloud Analysis." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.01428.

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Ramanathan, Raghav, Yongli Gao, M. Demirkan, Bulent Hatigoplu, Mazen Adib, Michael Rosenmeier, Juan Gutierrez, and Hesham El Ganainy. "Evaluation of Cavity Distribution Using Point-Pattern Analysis." In National Cave and Karst Research Institute Symposium 5. University of South Florida Tampa Library, 2015. http://dx.doi.org/10.5038/9780991000951.1088.

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Yang, Yirong, Bin Fan, Yongcheng Liu, Hua Lin, Jiyong Zhang, Xin Liu, Xinyu Cai, Shiming Xiang, and Chunhong Pan. "Deep Space Probing for Point Cloud Analysis." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9413342.

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Zou, Yibo, Markus Kästner, and Eduard Reithmeier. "Characterization of porous surfaces with spatial point pattern analysis." In Photonics Prague 2014, edited by Pavel Tománek, Dagmar Senderáková, and Petr Páta. SPIE, 2015. http://dx.doi.org/10.1117/12.2070329.

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Zhang, Daiming, Bin Fang, Weibin Yang, Xiaosong Luo, and Yuanyan Tang. "Robust inverse perspective mapping based on vanishing point." In 2014 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). IEEE, 2014. http://dx.doi.org/10.1109/spac.2014.6982733.

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Ying Sun, Zhao-Xue Chen, and Ying Ye. "Auto-detection of dew point using wavelet transformation." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635838.

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Liu, Tao, and Yue Lu. "Feature Point Analysis for Image Spam E-Mail Detection." In 2009 Chinese Conference on Pattern Recognition (CCPR). IEEE, 2009. http://dx.doi.org/10.1109/ccpr.2009.5344082.

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Reports on the topic "Point pattern analysis"

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Bennion, Leland, and David Ward. Datasets used in: Point-pattern analysis reveals density-dependent processes that influence structure of Juniperus virginiana L. stands. Kent State University, February 2023. http://dx.doi.org/10.21038/benn.2023.0201.

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Aromi, J. Daniel, María Paula Bonel, Julián Cristia, Martín Llada, and Luis Palomino. Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities. Inter-American Development Bank, June 2021. http://dx.doi.org/10.18235/0003315.

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This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile 10 shows that, on average, the reduction is 75% larger in the case of decile 10. According to estimated lasso models, an indicator of government restrictions provides a parsimonious description of these heterogeneous responses. These estimations point to noticeable similarities in the patterns observed across cities. We also explore how the median distance traveled changed for individuals that travel at least 1 km (the intensive margin). We find that the reduction in mobility in this indicator was larger for high-SES individuals compared to low-SES individuals in six out of eight cities analyzed. The evidence is consistent with asymmetries in the feasibility of working from home and in the ability to smooth consumption under temporary income shocks.
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Sessa, Guido, and Gregory Martin. role of FLS3 and BSK830 in pattern-triggered immunity in tomato. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7604270.bard.

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Pattern-recognition receptors (PRRs) located on the plant cell surface initiate immune responses by perceiving conserved pathogen molecules known as pathogen-associated molecular patterns (PAMPs). PRRs typically function in multiprotein complexes that include transmembrane and cytoplasmickinases and contribute to the initiation and signaling of pattern-triggered immunity (PTI). An important challenge is to identify molecular components of PRR complexes and downstream signaling pathways, and to understand the molecular mechanisms that mediate their function. In research activities supported by BARD-4931, we studied the role of the FLAGELLIN SENSING 3 (FLS3) PRR in the response of tomato leaves to flagellin-derivedPAMPs and PTI. In addition, we investigated molecular properties of the tomato brassinosteroid signaling kinase 830 (BSK830) that physically interacts with FLS3 and is a candidate for acting in the FLS3 signaling pathway. Our investigation refers to the proposal original objectives that were to: 1) Investigate the role of FLS3 and its interacting proteins in PTI; 2) Investigate the role of BSK830 in PTI; 3) Examine molecular and phosphorylation dynamics of the FLS3-BSK830 interaction; 4) Examine the possible interaction of FLS3 and BSK830 with Pstand Xcveffectors. We used CRISPR/Cas9 techniques to develop plants carrying single or combined mutations in the FLS3 gene and in the paralogsFLS2.1 and FLS2.2 genes, which encode the receptor FLAGELLIN SENSING2 (FLS2), and analyzed their function in PTI. Domain swapping analysis of the FLS2 and FLS3 receptors revealed domains of the proteins responsible for PAMP detection and for the different ROS response initiated by flgII-28/FLS3 as compared to flg22/FLS2. In addition, in vitro kinase assays and point mutations analysis identified FLS2 and FLS3 domains required for kinase activity and ATP binding. In research activities on tomato BSK830, we found that it interacts with PRRs and with the co-receptor SERK3A and PAMP treatment affects part of these interactions. CRISPR/Cas9 bsk830 mutant plants displayed enhanced pathogen susceptibility and reduced ROS production upon PAMP treatment. In addition, BSK830 interacted with 8 Xanthomonastype III secreted effectors. Follow up analysis revealed that among these effectors XopAE is part of an operon, is translocated into plant cells, and displays E3 ubiquitinligase activity. Our investigation was also extended to other Arabidopsis and tomato BSK family members. Arabidopsis BSK5 localized to the plant cell periphery, interacted with receptor-like kinases, and it was phosphorylatedin vitro by the PEPR1 and EFRPRRs. bsk5 mutant plants displayed enhanced susceptibility to pathogens and were impaired in several, but not all, PAMP-induced responses. Conversely, BSK5 overexpression conferred enhanced disease resistance and caused stronger PTI responses. Genetic complementation suggested that proper localization, kinase activity, and phosphorylation by PRRs are critical for BSK5 function. BSK7 and BSK8 specifically interacted with the FLS2 PRR, their respective mutant plants were more susceptible to B. cinereaand displayed reduced flg22-induced responses. The tomato BSK Mai1 was found to interact with the M3KMAPKKK, which is involved in activation of cell death associated with effector-triggered immunity. Silencing of Mai1 in N. benthamianaplants compromised cell death induced by a specific class of immune receptors. In addition, co-expression of Mai1 and M3Kin leaves enhanced MAPKphosphorylation and cell death, suggesting that Mai1 acts as a molecular link between pathogen recognition and MAPK signaling. Finally, We identified the PP2C phosphatase Pic1 that acts as a negative regulator of PTI by interacting with and dephosphorylating the receptor-like cytoplasmickinase Pti1, which is a positive regulator of plant immunity. The results of this investigation shed new light on the molecular characteristics and interactions of components of the immune system of crop plants providing new knowledge and tools for development of novel strategies for disease control.
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Peterson, Brian, J. Beeco, Sharolyn Anderson, and Damon Joyce. Exploring spatial patterns of overflights at Mount Rushmore National Memorial. National Park Service, June 2022. http://dx.doi.org/10.36967/nrr-2293663.

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The purpose of this study was to explore the spatial patterns of overflights at Mount Rushmore National Memorial (Mount Rushmore). Overflights were analyzed from August 15th, 2020 to May 15th, 2021 using Automatic Dependent Surveillance-Broadcast (ADS-B) and radar data from L3Harris. The first phase of analysis focused on all overflights and found a high concentration of overflights fly above Mount Rushmore. The second phase of analysis focused on low-level overflights that fly below 9,000ft mean sea level (MSL), which showed that many low-level overflights fly in a ring-shaped pattern around Mount Rushmore. The third phase of analysis removed all overflights known to not be air tours. Point density analysis was conducted using waypoints segmented into 500ft above ground level (AGL) altitude intervals, which showed that the density of overflights varied by altitude interval and the 1,000-1,500ft AGL range had the highest density of overflights around and above Mount Rushmore. This altitude interval also had the highest number of waypoints. It was also determined that the aircraft owners who fly the most helicopter routes fly at mean and median altitudes less than 1,600ft AGL. This information can be used for planning and management purposes and this study serves as a resource for future research that intends to use more advanced analytics.
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Butler, John M. Bitemark Analysis. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.8352-draft.

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This report summarizes a review of the scientific foundations of bitemark analysis conducted by the National Institute of Standards and Technology (NIST). Bitemark analysis typically involves examining patterned injuries left on a victim or object at a crime scene, identifying those injuries as bitemarks, and comparing those marks with dental impressions from a person of interest. This review specifically focuses on pattern injuries found on human skin. Over 400 sources were considered via literature searches and input from previous efforts by the National Institute of Justice Forensic Technology Center of Excellence. Our NIST review also utilized input from an October 2019 Bitemark Thinkshop organized by the Center for Statistics and Applications in Forensic Evidence (CSAFE) where experts and stakeholders associated with bitemark analysis were convened to discuss key issues. Based on this input, our study found a lack of support for three key premises of the field: 1) human dentition is unique at the individual level, 2) this uniqueness can be accurately transferred to human skin, and 3) identifying characteristics can be accurately captured and interpreted by analysis techniques. Furthermore, our review noted a lack of consensus among practitioners on the interpretation of bitemark evidence as well as thoughts on how to move the field forward. If the field seeks to advance, the key takeaways provided in this review are starting points for areas needing improvement, not an exhaustive list of specific shortcomings.
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Ohad, Nir, and Robert Fischer. Control of Fertilization-Independent Development by the FIE1 Gene. United States Department of Agriculture, August 2000. http://dx.doi.org/10.32747/2000.7575290.bard.

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A fundamental problem in biology is to understand how fertilization initiates reproductive development. During plant reproduction, one sperm cell fuses with the egg to form an embryo, whereas a second sperm cell fuses with the adjacent central cell nucleus to form the endosperm tissue that supports embryo and/or seedling development. To understand the mechanisms that initiate reproduction, we have isolated mutants of Arabidopsis that allow for replication of the central cell and subsequent endosperm development without fertilization. In this project we have cloned the MEA gene and showed that it encode a SET- domain polycomb protein. Such proteins are known to form chromatin-protein complexes that repress homeotic gene transcription and influence cell proliferation from Drosophylla to mammals. We propose a model whereby MEA and an additional polycomb protein we have cloned, FIE , function to suppress a critical aspect of early plant reproduction and endosperm development, until fertilization occurs. Using a molecular approach we were able to determine that FIE and MEA interact physically, suggesting that these proteins have been conserved also during the evolution of flowering plants. The analysis of MEA expression pattern revealed that it is an imprinted gene that displays parent-of- origin-dependent monoallelic expression specifically in the endosperm tissue. Silencing of the paternal MEA allele in the endosperm and the phenotype of mutant mea seeds support the parental conflict theory for the evolution of imprinting in plants and mammals. These results contribute new information on the initiation of endosperm development and provide a unique entry point to study asexual reproduction and apomixis which is expected to improve crop production.
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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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Lichter, Amnon, Gopi K. Podila, and Maria R. Davis. Identification of Genetic Determinants that Facilitate Development of B. cinerea at Low Temperature and its Postharvest Pathogenicity. United States Department of Agriculture, March 2011. http://dx.doi.org/10.32747/2011.7592641.bard.

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Botrytis cinerea is the postharvest pathogen of many agricultural produce with table grapes, strawberries and tomatoes as major targets. The high efficiency with which B. cinerea causes disease on these produce during storage is attributed in part due to its exceptional ability to develop at very low temperature. Our major goal was to understand the genetic determinants which enable it to develop at low temperature. The specific research objectives were: 1. Identify expression pattern of genes in a coldenriched cDNA library. 2. Identify B. cinerea orthologs of cold-induced genes 3. Profile protein expression and secretion at low temperature on strawberry and grape supplemented media. 4. Test novel methods for the functional analysis of coldresponsive genes. Objective 1 was modified during the research because a microarray platform became available and it allowed us to probe the whole set of candidate genes according to the sequence of 2 strains of the fungus, BO5.10 and T4. The results of this experiment allowed us to validate some of our earlier observations which referred to genes which were the product of a SSH suppression-subtraction library. Before the microarray became available during 2008 we also analyzed the expression of 15 orthologs of cold-induced genes and some of these results were also validated by the microarray experiment. One of our goals was also to perform functional analysis of cold-induced genes. This goal was hampered for 3 years because current methodology for transformation with ‘protoplasts’ failed to deliver knockouts of bacteriordopsin-like (bR) gene which was our primary target for functional analysis. Consequently, we developed 2 alternative transformation platforms, one which involves an air-gun based technique and another which involves DNA injection into sclerotia. Both techniques show great promise and have been validated using different constructs. This contribution is likely to serve the scientific community in the near future. Using these technologies we generated gene knockout constructs of 2 genes and have tested there effect on survival of the fungus at low temperature. With reference to the bR genes our results show that it has a significant effect on mycelial growth of the B. cinerea and the mutants have retarded development at extreme conditions of ionic stress, osmotic stress and low temperature. Another gene of unknown function, HP1 is still under analysis. An ortholog of the yeast cold-induced gene, CCH1 which encodes a calcium tunnel and was shown to be cold-induced in B. cinerea was recently cloned and used to complement yeast mutants and rescue them from cold-sensitivity. One of the significant findings of the microarray study involves a T2 ribonuclease which was validated to be cold-induced by qPCR analysis. This and other genes will serve for future studies. In the frame of the study we also screened a population of 631 natural B. cinerea isolates for development at low temperature and have identified several strains with much higher and lower capacity to develop at low temperature. These strains are likely to be used in the future as candidates for further functional analysis. The major conclusions from the above research point to specific targets of cold-induced genes which are likely to play a role in cold tolerance. One of the most significant observations from the microarray study is that low temperature does not induce ‘general stress response in B. cinerea, which is in agreement to its exceptional capacity to develop at low temperature. Due to the tragic murder of the Co-PI Maria R. Davis and GopiPodila on Feb. 2010 it is impossible to deliver their contribution to the research. The information of the PI is that they failed to deliver objective 4 and none of the information which relates to objective 3 has been delivered to the PI before the murder or in a visit to U. Alabama during June, 2010. Therefore, this report is based solely on the IS data.
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Bedoya-Maya, Felipe, Lynn Scholl, Orlando Sabogal-Cardona, and Daniel Oviedo. Who uses Transport Network Companies?: Characterization of Demand and its Relationship with Public Transit in Medellín. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003621.

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Transport Network Companies (TNCs) have become a popular alternative for mobility due to their ability to provide on-demand flexible mobility services. By offering smartphone-based, ride-hailing services capable of satisfying specific travel needs, these modes have transformed urban mobility worldwide. However, to-date, few studies have examined the impacts in the Latin American context. This analysis is a critical first step in developing policies to promote efficient and sustainable transport systems in the Latin-American region. This research examines the factors affecting the adoption of on-demand ride services in Medellín, Colombia. It also explores whether these are substituting or competing with public transit. First, it provides a descriptive analysis in which we relate the usage of platform-based services with neighborhood characteristics, socioeconomic information of individuals and families, and trip-level details. Next, factors contributing to the election of platform-based services modeled using discrete choice models. The results show that wealthy and highly educated families with low vehicle availability are more likely to use TNCs compared to other groups in Medellín. Evidence also points at gender effects, with being female significantly increasing the probability of using a TNC service. Finally, we observe both transit complementary and substitution patterns of use, depending on the context and by whom the service is requested.
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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, for the first time, quantitative analysis of spatial model errors within the U.S. Army Corps of Engineers (USACE) Wave Information Study (WIS) 30+ year hindcast for coastal United States. The system is demonstrated on the WIS 2017 Atlantic hindcast, using a 1/2° basin scale grid and a 1/4° regional grid of the East Coast. Consistent spatial patterns of increased bias and root-mean-square-error are exposed. Seasonal strengthening and weakening of these spatial patterns are found, related to the seasonal variation of wave energy. Some model errors correspond to areas known for high currents, and thus wave-current interaction. In conjunction with the model comparison, additional functions for pairing altimeter measurements with buoy data and storm tracks have been built. Appendices give information on the code access (Appendix I), organization and files (Appendix II), example usage (Appendix III), and demonstrating options (Appendix IV).
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